| _ | segmentation | _ |
|---|
| 1-D Fourier Transform Coefficients for Rotation Invariant Texture | segmentation | |
| 1-Point Rigid Motion Estimation and | segmentation | with a RGB-D Camera |
| 1000 Pupil | segmentation | s in a Second using Haar Like Features and Statistical Learning |
| 2-D mesh-based video object | segmentation | and tracking with occlusion resolution |
| 2-Stage Neural-Network for Volume | segmentation | of Medical Images |
| 2.5D Convolution for RGB-D Semantic | segmentation | |
| 2D Amodal Instance | segmentation | Guided by 3D Shape Prior |
| 2D and 3D | segmentation | of Uncertain Local Collagen Fiber Orientations in SHG Microscopy |
| 2D Cross-View Object | segmentation | and Perceptual Grouping in Computer-Aided Design Drawings |
| 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic | segmentation | |
| 2D Image | segmentation | Using Minimum Spanning-Trees |
| 2D phase-independent local features for texture | segmentation | |
| 2D | segmentation | and Labelling of Clustered Ring Shaped Objects |
| 2D | segmentation | from Fovea Images Based on Eigen-Subspace Learning |
| 2D Shape | segmentation | : A New Approach |
| 2D to 3D Evolutionary Deep Convolutional Neural Networks for Medical Image | segmentation | |
| 2D ultrasound image | segmentation | using graph cuts and local image features |
| 2D-3D Interlaced Transformer for Point Cloud | segmentation | with Scene-Level Supervision |
| 2D-3D semantic | segmentation | using cardinality as higher-order loss |
| 2D-GE image | segmentation | based on level-sets |
| 2D/3D multimodal data simulation approach with applications on urban semantic | segmentation | , building extraction and change detection, A |
| 2DPASS: 2D Priors Assisted Semantic | segmentation | on LiDAR Point Clouds |
| 2K-Fold-Net and feature enhanced 4-Fold-Net for medical image | segmentation | |
| 2LDA: | segmentation | for Recognition |
| 3-D active appearance models: | segmentation | of cardiac MR and ultrasound images |
| 3-D Active Contour | segmentation | Based on Sparse Linear Combination of Training Shapes (SCoTS) |
| 3-D B-spline Wavelet-Based Local Standard Deviation (BWLSD): Its Application to Edge Detection and Vascular | segmentation | in Magnetic Resonance Angiography |
| 3-D Carotid Multi-Region MRI | segmentation | by Globally Optimal Evolution of Coupled Surfaces |
| 3-D Consistent and Robust | segmentation | of Cardiac Images by Deep Learning With Spatial Propagation |
| 3-D Contour | segmentation | Scheme Based on Curvature and Torsion, A |
| 3-D Data Acquisition and Scene | segmentation | System |
| 3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image | segmentation | |
| 3-D Histogram-Based | segmentation | and Leaf Detection for Rosette Plants |
| 3-D knee cartilage | segmentation | using a smoothing B-Spline active surface |
| 3-D Model-Based | segmentation | of Videoconference Image Sequences |
| 3-D morphological | segmentation | and motion estimation for image sequences |
| 3-D object | segmentation | using ant colonies |
| 3-D range images | segmentation | based on Deriche's optimum filters |
| 3-D Registration of Biological Images and Models: Registration of microscopic images and its uses in | segmentation | and annotation |
| 3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor | segmentation | |
| 3-D Voronoi diagram: application to | segmentation | |
| 3-Dimensional Structural Texture Modeling and | segmentation | |
| 3-Dimensional Surface | segmentation | Using Multicolored Illumination |
| 360° Camera Alignment via | segmentation | |
| 360° from a Single Camera: A Few-Shot Approach for LiDAR | segmentation | |
| 3D Active Surface Model for the Accurate | segmentation | of Drosophila Schneider Cell Nuclei and Nucleoli, A |
| 3D all the way: Semantic | segmentation | of urban scenes from start to end in 3D |
| 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate | segmentation | in MR Images |
| 3D Articulated Shape | segmentation | Using Motion Information |
| 3D automated lymphoma | segmentation | in PET images based on cellular automata |
| 3D automatic anatomy | segmentation | based on graph cut-oriented active appearance models |
| 3D automatic approach for precise | segmentation | of the prostate from Diffusion-Weighted Magnetic Resonance Imaging |
| 3D Bird's-Eye-View Instance | segmentation | |
| 3D brain magnetic resonance imaging | segmentation | by using bitplane and adaptive fast marching |
| 3D brain tumor | segmentation | in MRI images based on a modified PSO technique |
| 3D Building Models | segmentation | Based on K-Means++ Cluster Analysis |
| 3D CNN-Based Soma | segmentation | from Brain Images at Single-Neuron Resolution |
| 3D CNN-LSTM-Based Image-to-Image Foreground | segmentation | , A |
| 3D Coarse-to-Fine Framework for Volumetric Medical Image | segmentation | , A |
| 3D Cross-Hemisphere Neighborhood Difference Convnet for Chronic Stroke Lesion | segmentation | , A |
| 3D Curvature-Based Shape Descriptors for Face | segmentation | : An Anatomical-Based Analysis |
| 3D Data | segmentation | by Local Classification and Markov Random Fields |
| 3D deep learning approach based on Shape Prior for automatic | segmentation | of myocardial diseases, A |
| 3D dense reconstruction from 2D video sequence via 3D geometric | segmentation | |
| 3D Dental model | segmentation | with graph attentional convolution network |
| 3D Echographic Data | segmentation | and Carotid Artery Turbulences Mapping by Doppler Velocimetry by a Common Approach Based on Calculus of Variations |
| 3D End-to-End Boundary-Aware Networks for Pancreas | segmentation | |
| 3D Fast Automatic | segmentation | of Kidney Based on Modified AAM and Random Forest |
| 3D Fiber | segmentation | with Deep Center Regression and Geometric Clustering |
| 3D FractalNet: Dense Volumetric | segmentation | for Cardiovascular MRI Volumes |
| 3D Geomarketing | segmentation | : A Higher Spatial Dimension Planning Perspective |
| 3d Geometric Extraction Using | segmentation | for Asset Management |
| 3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass | segmentation | , Diagnosis, and Quantitative Patient Management |
| 3D Graph cut with new edge weights for cerebral white matter | segmentation | |
| 3D Graph Neural Networks for RGBD Semantic | segmentation | |
| 3D Guided Weakly Supervised Semantic | segmentation | |
| 3D Hand Pose Estimation Using Randomized Decision Forest with | segmentation | Index Points |
| 3D Hippocampus | segmentation | Using a Hog Based Loss Function with Majority Pooling |
| 3D Human Action Recognition Using Model | segmentation | |
| 3D image | segmentation | based on feature-sensitive and adaptive tetrahedral meshes |
| 3D Image | segmentation | Using the Bounded Irregular Pyramid |
| 3D Image Topological Structuring with an Oriented Boundary Graph for Split and Merge | segmentation | |
| 3D Instance | segmentation | and Object Detection Framework Based on the Fusion of Lidar Remote Sensing and Optical Image Sensing |
| 3D Instance | segmentation | via Enhanced Spatial and Semantic Supervision |
| 3D Instance | segmentation | via Multi-Task Metric Learning |
| 3D interactive coronary artery | segmentation | using random forests and Markov random field optimization |
| 3D Interactive | segmentation | With Semi-Implicit Representation and Active Learning |
| 3D Intervertebral Disc Localization and | segmentation | from MR Images by Data-Driven Regression and Classification |
| 3D Layout CRF for Multi-View Object Class Recognition and | segmentation | |
| 3D layout estimation of general rooms based on ordinal semantic | segmentation | |
| 3D Layout Estimation via Weakly Supervised Learning of Plane Parameters From 2D | segmentation | |
| 3D left ventricular | segmentation | in echocardiography using a probabilistic data association deformable model |
| 3D level set method for blastomere | segmentation | of preimplantation embryos in fluorescence microscopy images |
| 3D Lightweight Network for Simultaneous Registration and | segmentation | of Organs-at-Risk in CT Images of Head and Neck Cancer |
| 3D Materials Image | segmentation | by 2D Propagation: A Graph-Cut Approach Considering Homomorphism |
| 3d medical image | segmentation | approach based on multi-label front propagation |
| 3D Medical image | segmentation | using parallel transformers |
| 3D Medical Multi-modal | segmentation | Network Guided by Multi-source Correlation Constraint |
| 3D Mesh | segmentation | Based on Markov Random Fields and Graph Cuts |
| 3D Mesh | segmentation | Using Mean-Shifted Curvature |
| 3D Model Assisted Image | segmentation | |
| 3D Morphable Ear Model: A Complete Pipeline from Ear | segmentation | to Statistical Modeling |
| 3D Motion Consistency Analysis for | segmentation | in 2D Video Projection |
| 3D Motion | segmentation | from Straight-Line Optical Flow |
| 3D Motion | segmentation | Using Intensity Trajectory |
| 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor | segmentation | and Lymph Node Classification |
| 3D Multimodal Simulation of Image Acquisition by X-Ray and MRI for Validation of Seedling Measurements with | segmentation | Algorithms |
| 3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image | segmentation | |
| 3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic | segmentation | |
| 3D Neuron Microscopy Image | segmentation | via the Ray-Shooting Model and a DC-BLSTM Network |
| 3D noisy discrete objects: | segmentation | and application to smoothing |
| 3D Object Detection Based on Geometrical | segmentation | |
| 3D Object Mapping by Integrating Stereo SLAM and Object | segmentation | Using Edge Points |
| 3D Object Modeling and | segmentation | Based on Edge-Point Matching with Local Descriptors |
| 3D object | segmentation | using B-Surface |
| 3D Object | segmentation | Using Cross-Window Point Transformer With Latent Semantic Boundary Guidance |
| 3D Part | segmentation | Using Simulated Electrical Charge Distributions |
| 3D Part | segmentation | : A New Physics-Based Approach |
| 3d Particle Picking in Cryo-Electron Tomograms Using Instance | segmentation | |
| 3D Plant Modeling: Localization, Mapping and | segmentation | for Plant Phenotyping Using a Single Hand-held Camera |
| 3D Point Cloud Instance | segmentation | Considering Global Shape Contour Constraints |
| 3D Point Cloud Instance | segmentation | of Lettuce Based on PartNet |
| 3D Point Cloud Semantic Augmentation: Instance | segmentation | of 360° Panoramas by Deep Learning Techniques |
| 3D Point Cloud Video | segmentation | Based on Interaction Analysis |
| 3D pose estimation and | segmentation | using specular cues |
| 3D Probabilistic Morphable Models for Brain Tumor | segmentation | |
| 3D Recognition and | segmentation | of Objects in Cluttered Scenes |
| 3D Reconstruction with Automatic Foreground | segmentation | from Multi-view Images Acquired from a Mobile Device |
| 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic | segmentation | |
| 3D Registration and Integrated | segmentation | Framework for Heterogeneous Unmanned Robotic Systems |
| 3D Retinal Vessel Tree | segmentation | and Reconstruction with OCT Images |
| 3D | segmentation | and labeling of fractured bone from CT images |
| 3D | segmentation | and Quantification of Human Vessels Based on a New 3D Parametric Intensity Model |
| 3D | segmentation | by Maximally Stable Volumes (MSVs) |
| 3D | segmentation | for Multi-Organs in CT Images |
| 3D | segmentation | Guided Style-Based Generative Adversarial Networks for PET Synthesis |
| 3D | segmentation | in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients |
| 3D | segmentation | of abdominal CT imagery with graphical models, conditional random fields and learning |
| 3D | segmentation | of forest structure using a mean-shift based algorithm |
| 3D | segmentation | of Full Waveform LIDAR Data for Single Tree Detection Using Normalized Cut |
| 3D | segmentation | of Humans in Point Clouds with Synthetic Data |
| 3D | segmentation | of Mammospheres for Localization Studies |
| 3D | segmentation | of MRI Brain Using Level Set and Unsupervised Classification |
| 3D | segmentation | of Residual Thyroid Tissue Using Constrained Region Growing and Voting Strategies |
| 3D | segmentation | of rodent brains using deformable models and variational methods |
| 3D | segmentation | of single trees exploiting full waveform LIDAR data |
| 3D | segmentation | of soft organs by flipping-free mesh deformation |
| 3D | segmentation | of the Prostate via Poisson Inverse Gradient Initialization |
| 3D | segmentation | of Trees Through a Flexible Multiclass Graph Cut Algorithm |
| 3D | segmentation | of Unstructured Point Clouds for Building Modelling |
| 3D Semantic Representation of Actions from efficient stereo-image-sequence | segmentation | on GPUs |
| 3D semantic | segmentation | based on spatial-aware convolution and shape completion for augmented reality applications |
| 3d Semantic | segmentation | for Large-scale Scene Understanding |
| 3D Semantic | segmentation | in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds |
| 3D Semantic | segmentation | of Aerial Photogrammetry Models Based on Orthographic Projection |
| 3D Semantic | segmentation | of Modular Furniture Using rjMCMC |
| 3D Semantic | segmentation | with Submanifold Sparse Convolutional Networks |
| 3D Shape Descriptor for | segmentation | of Unstructured Meshes into Segment-Wise Coherent Mesh Series, A |
| 3D Shape | segmentation | Based on Viewpoint Entropy and Projective Fully Convolutional Networks Fusing Multi-view Features |
| 3D Shape | segmentation | with Geometric Deep Learning |
| 3D Shape | segmentation | with Projective Convolutional Networks |
| 3D Spatially Weighted Network for | segmentation | of Brain Tissue From MRI, A |
| 3D spatio-temporal graph cuts for video objects | segmentation | |
| 3D statistical shape models for medical image | segmentation | |
| 3D structure inference by integrating | segmentation | and reconstruction from a single image |
| 3D Superalloy Grain | segmentation | Using a Multichannel Edge-Weighted Centroidal Voronoi Tessellation Algorithm |
| 3D Target Scale Estimation and Motion | segmentation | for Size Preserving Tracking in PTZ Video |
| 3D Texture Classification Using the Belief Net of a | segmentation | Tree |
| 3D Tool for Left Ventricle | segmentation | Editing, A |
| 3D U-Net Brain Tumor | segmentation | Using VAE Skip Connection |
| 3D Variational Brain Tumor | segmentation | using a High Dimensional Feature Set |
| 3D Vector Flow Guided | segmentation | of Airway Wall in MSCT |
| 3D Vertebrae | segmentation | in CT Images with Random Noises |
| 3D vertebrae | segmentation | using graph cuts with shape prior constraints |
| 3D Vertebral Body | segmentation | Using Shape Based Graph Cuts |
| 3D video performance | segmentation | |
| 3D Video | segmentation | Using Point Distance Histograms |
| 3D video semantic | segmentation | for wildfire smoke |
| 3D-Brain | segmentation | Using Deep Neural Network and Gaussian Mixture Model |
| 3D-Color-Structure-Code: A Hierarchical Region Growing Method for | segmentation | of 3D-Images |
| 3D-color-structure-code: | segmentation | by using a new non-plainness island hierarchy |
| 3D-DDA: 3D Dual-Domain Attention for Brain Tumor | segmentation | |
| 3D-MetaConNet: Meta-learning for 3D Shape Classification and | segmentation | |
| 3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance | segmentation | |
| 3D- | segmentation | and display of tomographic imagery |
| 3D-SIS: 3D Semantic Instance | segmentation | of RGB-D Scans |
| 3dcnn for Pulmonary Nodule | segmentation | and Classification |
| 3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image | segmentation | |
| 3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point Cloud Semantic | segmentation | |
| 3DMV: Joint 3D-Multi-view Prediction for 3D Semantic Scene | segmentation | |
| 3DSN-Net: A 3-D Scale-Aware convNet With Nonlocal Context Guidance for Kidney and Tumor | segmentation | From CT Volumes |
| 4-D voting for matching, densification and | segmentation | into motion layers |
| 4D Light Field Superpixel and | segmentation | |
| 4D Light Field Superpixel and | segmentation | |
| 4D objects-by-change: Spatiotemporal | segmentation | of geomorphic surface change from LiDAR time series |
| 4D Panoptic LiDAR | segmentation | |
| 4D Panoptic | segmentation | as Invariant and Equivariant Field Prediction |
| 4D Temporally Coherent Multi-Person Semantic Reconstruction and | segmentation | |
| 4D Ventricular | segmentation | and Wall Motion Estimation Using Efficient Discrete Optimization |
| 4D vessel | segmentation | and tracking in Ultrasound |
| 4d-stop: Panoptic | segmentation | of 4d Lidar Using Spatio-temporal Object Proposal Generation and Aggregation |
| 4DGVF | segmentation | of vector-valued images |
| 500,000 Images Closer to Eyelid and Pupil | segmentation | |
| ?-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure | segmentation | |
| A-IFS Histon Based Multithresholding Algorithm for Color Image | segmentation | |
| A-priori information driven model for road | segmentation | in high resolution images |
| A.I. based image | segmentation | |
| A2-FPN: Attention Aggregation based Feature Pyramid Network for Instance | segmentation | |
| AADG: Automatic Augmentation for Domain Generalization on Retinal Image | segmentation | |
| AAM based face tracking with temporal matching and face | segmentation | |
| AAM-based palm | segmentation | in unrestricted backgrounds and various postures for palmprint recognition |
| AAU-Net: An Adaptive Attention U-Net for Breast Lesions | segmentation | in Ultrasound Images |
| Abandoned Object Detection System Based on Dual Background | segmentation | , An |
| ABCNet: Attentive bilateral contextual network for efficient semantic | segmentation | of Fine-Resolution remotely sensed imagery |
| AbdomenCT-1K: Is Abdominal Organ | segmentation | a Solved Problem? |
| Abdominal organ | segmentation | using texture transforms and a Hopfield neural network |
| Abdominal Seqmentation, Multi-Organ | segmentation | |
| ablation study on part-based face analysis using a Multi-input Convolutional Neural Network and Semantic | segmentation | , An |
| ABMDRNet: Adaptive-weighted Bi-directional Modality Difference Reduction Network for RGB-T Semantic | segmentation | |
| About Lacunarity, Some Links Between Fractal and Integral Geometry and an Application to Texture | segmentation | |
| AC coefficient and K-means cuckoo optimisation algorithm-based | segmentation | and compression of compound images |
| Accel: A Corrective Fusion Network for Efficient Semantic | segmentation | on Video |
| Accelerated hardware video object | segmentation | : From foreground detection to connected components labelling |
| Accelerated hyperspectral image recursive hierarchical | segmentation | using GPUs, multicore CPUs, and hybrid CPU/GPU cluster |
| Accelerated Learning-Based Interactive Image | segmentation | Using Pairwise Constraints |
| Accelerated liver tumor | segmentation | in four-phase computed tomography images |
| Accelerating 3D Medical Image | segmentation | with High Performance Computing |
| Accelerating Convolutional Sparse Coding for Curvilinear Structures | segmentation | by Refining SCIRD-TS Filter Banks |
| Accelerating the creation of instance | segmentation | training sets through bounding box annotation |
| Accelerating Video Object | segmentation | with Compressed Video |
| Acceleration Strategies for Gaussian Mean-Shift Image | segmentation | |
| ACCLVOS: Atrous Convolution with Spatial-Temporal ConvLSTM for Video Object | segmentation | |
| Accurate 3D bone | segmentation | in challenging CT images: Bottom-up parsing and contextualized optimization |
| Accurate 3D Cell | segmentation | Using Deep Features and CRF Refinement |
| Accurate 3D Left-Right Brain Hemisphere | segmentation | in MR Images Based on Shape Bottlenecks and Partial Volume Estimation |
| Accurate and automated image | segmentation | of 3D optical coherence tomography data suffering from low signal-to-noise levels |
| Accurate and Efficient Bayesian Method for Automatic | segmentation | of Brain MRI, An |
| Accurate and Efficient Optic Disc Detection and | segmentation | by a Circular Transformation |
| Accurate and Efficient Supervoxel Re- | segmentation | Approach for Large-Scale Point Clouds Using Plane Constraints, An |
| Accurate Cell | segmentation | in Digital Pathology Images via Attention Enforced Networks |
| Accurate Cervical Cell | segmentation | from Overlapping Clumps in Pap Smear Images |
| Accurate estimation of pulmonary nodule's growth rate in CT images with nonrigid registration and precise nodule detection and | segmentation | |
| Accurate eye-like | segmentation | in a heavily untextured contrasted scene |
| Accurate Foreground | segmentation | without Pre-learning |
| Accurate Human-Limb | segmentation | in RGB-D Images for Intelligent Mobility Assistance Robots |
| Accurate Identification of Tomograms of Lung Nodules Using Cnn: Influence of the Optimizer, Preprocessing and | segmentation | |
| Accurate Instance | segmentation | for Remote Sensing Images via Adaptive and Dynamic Feature Learning |
| Accurate Iris | segmentation | Framework Under Relaxed Imaging Constraints Using Total Variation Model, An |
| Accurate Localization of 3D Objects from RGB-D Data Using | segmentation | Hypotheses |
| Accurate Lungs | segmentation | on CT Chest Images by Adaptive Appearance-Guided Shape Modeling |
| Accurate Motion Layer | segmentation | and Matting |
| Accurate Object | segmentation | for Video Sequences via Temporal-Spatial-Frequency Saliency Model |
| Accurate polyp | segmentation | for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model |
| Accurate recognition of words in scenes without character | segmentation | using recurrent neural network |
| Accurate | segmentation | for Pathological Lung Based on Integration of 3D Appearance and Surface Models |
| Accurate | segmentation | of Blood Vessels from 3D Medical Images |
| Accurate | segmentation | of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests |
| Accurate | segmentation | of land regions in historical cadastral maps |
| Accurate | segmentation | of Synaptic Cleft with Contour Growing Concatenated with a Convnet |
| Accurate | segmentation | of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models |
| Accurate | segmentation | -Based Scene Text Detector with Context Attention and Repulsive Text Border, An |
| Accurate Silhouettes for Surveillance: Improved Motion | segmentation | Using Graph Cuts |
| Accurate tumor | segmentation | in FDG-PET images with guidance of complementary CT images |
| Accurate vessel | segmentation | using maximum entropy incorporating line detection and phase-preserving denoising |
| Accurate Vessel | segmentation | With Constrained B-Snake |
| Accurate Vessel | segmentation | with Progressive Contrast Enhancement and Canny Refinement |
| Accurate video object | segmentation | through change detection |
| Accurate Whole-Brain | segmentation | for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas |
| Accurately 3D neuron localization using 2D conv-LSTM super-resolution | segmentation | network |
| ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance | segmentation | Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data |
| ACE: Adapting to Changing Environments for Semantic | segmentation | |
| ACFNet: Attentional Class Feature Network for Semantic | segmentation | |
| Achieving Accurate Colour Image | segmentation | in 2D and 3D with LVQ Classifiers and Partial ACSR |
| ACNET: Attention Based Network to Exploit Complementary Features for RGBD Semantic | segmentation | |
| Acoustic Range Image | segmentation | by Effective Mean Shift |
| Acquire, Augment, Segment and Enjoy: Weakly Supervised Instance | segmentation | of Supermarket Products |
| Acquisition, | segmentation | and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images |
| ACSeg: Adaptive Conceptualization for Unsupervised Semantic | segmentation | |
| ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image | segmentation | |
| Action recognition in poor-quality spectator crowd videos using head distribution-based person | segmentation | |
| Action | segmentation | |
| Action | segmentation | and recognition in meeting room scenarios |
| Action | segmentation | on Representations of Skeleton Sequences Using Transformer Networks |
| Action | segmentation | With Joint Self-Supervised Temporal Domain Adaptation |
| Action | segmentation | with Mixed Temporal Domain Adaptation |
| Action Sets: Weakly Supervised Action | segmentation | Without Ordering Constraints |
| Action Shuffle Alternating Learning for Unsupervised Action | segmentation | |
| ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance | segmentation | |
| Active 3d | segmentation | through Fixation of Previously Unseen Objects |
| Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic | segmentation | , An |
| Active and incremental learning for semantic ALS point cloud | segmentation | |
| Active Cell Appearance Model Induced Generative Adversarial Networks for Annotation-Efficient Cell | segmentation | and Identification on Adaptive Optics Retinal Images |
| Active colloids | segmentation | and tracking |
| Active contour algorithm for texture | segmentation | using a texture feature set |
| Active Contour Based | segmentation | of 3D Surfaces |
| Active contour driven by adaptive-scale local-energy signed pressure force function based on bias correction for medical image | segmentation | |
| Active contour driven by local divergence energies for ultrasound image | segmentation | |
| Active contour driven by region-scalable fitting and local Bhattacharyya distance energies for ultrasound image | segmentation | |
| Active Contour External Force Using Vector Field Convolution for Image | segmentation | |
| Active contour image | segmentation | model with de-hazing constraints |
| active contour model based on Jeffreys divergence and clustering technology for image | segmentation | , An |
| Active contour model based on local bias field estimation for image | segmentation | |
| Active contour model for inhomogenous image | segmentation | based on Jeffreys divergence |
| Active contour model of breast cancer DCE-MRI | segmentation | with an extreme learning machine and a fuzzy C-means cluster |
| Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image | segmentation | , An |
| Active Contour Models for Manifold Valued Image | segmentation | |
| Active Contour | segmentation | Guided by AM-FM Dominant Component Analysis |
| Active Contour | segmentation | with a Parametric Shape Prior: Link with the Shape Gradient |
| Active Contour Using Local Regional Information on Extendable Search Lines (LRES) for Image | segmentation | |
| Active Contours and Snakes, Region | segmentation | Issues |
| Active Contours and Snakes, | segmentation | s, Flow, Gradient Flow |
| Active Contours and Snakes, Shape Priors for | segmentation | |
| Active Contours and Snakes, Video, Motion | segmentation | Issues |
| Active Contours Based Battachryya Gradient Flow for Texture | segmentation | |
| Active contours based on weighted gradient vector flow and balloon forces for medical image | segmentation | |
| Active contours driven by global and local weighted signed pressure force for image | segmentation | |
| Active contours driven by local pre-fitting energy for fast image | segmentation | |
| Active Contours Driven by Local Rayleigh Distribution Fitting Energy for Ultrasound Image | segmentation | |
| Active contours driven by modified LoG energy term and optimised penalty term for image | segmentation | |
| Active Contours Driven by Supervised Binary Classifiers for Texture | segmentation | |
| Active contours for image | segmentation | using complex domain-based approach |
| Active Contours for Multi-region Image | segmentation | with a Single Level Set Function |
| Active contours for selective object | segmentation | |
| active contours method based on intensity and reduced Gabor features for texture | segmentation | , An |
| Active Contours on Statistical Manifolds And Texture | segmentation | |
| Active contours | segmentation | with edge based and local region based |
| Active contours with a joint and region-scalable distribution metric for interactive natural image | segmentation | |
| Active contours with a novel distribution metric for complex object | segmentation | |
| Active Contours with Selective Local or Global | segmentation | : A New Formulation and Level Set Method |
| Active Contours with Thresholding Value for Image | segmentation | |
| Active deep neural network features selection for | segmentation | and recognition of brain tumors using MRI images |
| Active Domain Adaptation with Multi-level Contrastive Units for Semantic | segmentation | |
| Active geodesics: Region-based active contour | segmentation | with a global edge-based constraint |
| Active Illumination for the | segmentation | of Surface Deformations |
| Active Image | segmentation | Propagation |
| Active image: A shape and topology preserving | segmentation | method using B-spline free form deformations |
| Active Learning for Improved Semi-Supervised Semantic | segmentation | in Satellite Images |
| Active Learning for Interactive | segmentation | with Expected Confidence Change |
| Active learning for semantic | segmentation | with expected change |
| active learning method based on result quality evaluation for printed circuit board computed tomography image | segmentation | , An |
| Active Learning with Bootstrapped Dendritic Classifier applied to medical image | segmentation | |
| Active MAP Inference in CRFs for Efficient Semantic | segmentation | |
| Active Mask | segmentation | of Fluorescence Microscope Images |
| Active Mean Fields for Probabilistic Image | segmentation | : Connections with Chan-Vese and Rudin-Osher-Fatemi Models |
| Active Mesh for Video | segmentation | and Objects Tracking |
| Active Online Learning for Interactive | segmentation | Using Sparse Gaussian Processes |
| Active Pointly-Supervised Instance | segmentation | |
| Active Regions Approach for the | segmentation | of 3D Biological Tissue, An |
| Active regions for colour texture | segmentation | integrating region and boundary information |
| Active Regions for Unsupervised Texture | segmentation | Integrating Region and Boundary Information |
| Active | segmentation | and Adaptive Tracking Using Level Sets |
| Active | segmentation | with Fixation |
| Active Shape Model Based | segmentation | and Tracking of Facial Regions in Color Images |
| Active shape model | segmentation | with optimal features |
| Active Shape Models and | segmentation | of the Left Ventricle in Echocardiography |
| Active Subdivision Surfaces for the Semiautomatic | segmentation | of Biomedical Volumes |
| Active Surface for Fully 3d Automatic | segmentation | |
| Active Surfaces for Selective Object | segmentation | in 3D |
| Active Unsupervised Texture | segmentation | on a Diffusion Based Feature Space |
| Active Visual | segmentation | |
| Active volume models for 3D medical image | segmentation | |
| Active Volume Models for Medical Image | segmentation | |
| Activity Based Video Content Trajectory Representation and | segmentation | |
| Activity-based temporal | segmentation | for videos of interacting objects using invariant trajectory features |
| Actor and Action Modular Network for Text-Based Video | segmentation | |
| Actor and Action Video | segmentation | from a Sentence |
| Actor-Action Semantic | segmentation | with Grouping Process Models |
| Actor-Critic Instance | segmentation | |
| Acute lymphoblastic leukemia | segmentation | using local pixel information |
| Adaboost-based detection and | segmentation | of bioresorbable vascular scaffolds struts in IVOCT images |
| AdaCoSeg: Adaptive Shape Co- | segmentation | With Group Consistency Loss |
| Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image | segmentation | |
| Adaptative evaluation of image | segmentation | results |
| Adapting projection-based LiDAR semantic | segmentation | to natural domains |
| Adapting Starburst for Elliptical Iris | segmentation | |
| Adaptive 3-D | segmentation | algorithms for microscope images using local in-focus, and contrast features: application to Pap smears |
| Adaptive Activation Network for Weakly Supervised Semantic | segmentation | |
| adaptive active contour model driven by weighted local and global image fitting constraints for image | segmentation | , An |
| Adaptive active-mask image | segmentation | for quantitative characterization of mitochondrial morphology |
| Adaptive Affinity Fields for Semantic | segmentation | |
| Adaptive Agent Transformer for Few-Shot | segmentation | |
| Adaptive Algorithm for Automated Polygonal Approximation of High Spatial Resolution Remote Sensing Imagery | segmentation | Contours |
| Adaptive and fast image superpixel | segmentation | approach |
| adaptive and progressive approach for efficient Gradient-based multiresolution color image | segmentation | , An |
| Adaptive appearance separation for interactive image | segmentation | based on Dense CRF |
| Adaptive Approach for | segmentation | of 3D Laser Point Cloud, An |
| adaptive approach for the | segmentation | and extraction of planar and linear/cylindrical features from laser scanning data, An |
| Adaptive Approach for the | segmentation | and the TV-Filtering in the Optic Flow Estimation, An |
| adaptive approach to unsupervised texture | segmentation | using M-Band wavelet transform, An |
| Adaptive automatic facial feature | segmentation | |
| Adaptive Background Generation for Video Object | segmentation | |
| Adaptive Background Modeling Method for Foreground | segmentation | , An |
| Adaptive Basis Selection for Multi Texture | segmentation | by M-Band Wavelet Packet Frames |
| Adaptive Bayesian Decision-Model for Motion | segmentation | |
| Adaptive Binarization for Weakly Supervised Affordance | segmentation | |
| Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene | segmentation | |
| Adaptive Clustering Algorithm for Image | segmentation | , An |
| adaptive clustering and chrominance-based merging approach for image | segmentation | and abstraction, An |
| Adaptive color image | segmentation | using markov random fields |
| Adaptive Color Image | segmentation | , An |
| Adaptive Color | segmentation | : A Comparison of Neural and Statistical-Methods |
| Adaptive Color Similarity Function for Color Image | segmentation | , An |
| Adaptive Computational Model for Texture | segmentation | , An |
| Adaptive Contextual Energy Parameterization for Automated Image | segmentation | |
| Adaptive Contour Features in oriented granular space for human detection and | segmentation | |
| adaptive contrast method for | segmentation | of drusen, An |
| Adaptive convolutional neural network for large change in video object | segmentation | |
| Adaptive diffusion flow active contours for image | segmentation | |
| Adaptive Distance-Weighted Voronoi Tessellation for Remote Sensing Image | segmentation | |
| Adaptive Document Block | segmentation | and Classification |
| Adaptive document | segmentation | and geometric relation labeling: algorithms and experimental results |
| Adaptive Early-Learning Correction for | segmentation | from Noisy Annotations |
| Adaptive Effective Receptive Field Convolution for Semantic | segmentation | of VHR Remote Sensing Images |
| Adaptive elastic | segmentation | of brain MRI via shape-model-guided evolutionary programming |
| Adaptive Feature Integration for | segmentation | of 3D Data by Unsupervised Density Estimation |
| Adaptive Feature Recombination and Recalibration for Semantic | segmentation | With Fully Convolutional Networks |
| Adaptive Feature Selection in Image | segmentation | |
| Adaptive Feature Weights Based Double-Layer Multi-Objective Method for SAR Image | segmentation | |
| Adaptive Foreground/Background | segmentation | Using Multiview Silhouette Fusion |
| Adaptive fusion affinity graph with noise-free online low-rank representation for natural image | segmentation | |
| Adaptive fuzzy c-means algorithm based on local noise detecting for image | segmentation | |
| adaptive fuzzy C-means algorithm for image | segmentation | in the presence of intensity inhomogeneities, An |
| Adaptive fuzzy | segmentation | of magnetic resonance images |
| Adaptive Fuzzy Text | segmentation | in Images with Complex Backgrounds Using Color and Texture |
| Adaptive Gabor Filters for Texture | segmentation | |
| Adaptive Gaussian Weighted Filtering for Image | segmentation | |
| Adaptive Graph-Cut Algorithm to Video Moving Objects | segmentation | |
| Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium | segmentation | on Cross-Domain Data |
| Adaptive Hierarchical Multinomial Latent Model With Hybrid Kernel Function for SAR Image Semantic | segmentation | |
| Adaptive Hierarchical | segmentation | Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery, An |
| Adaptive Hybrid Conditional Random Field Model for SAR Image | segmentation | |
| Adaptive image compression based on | segmentation | and block classification |
| Adaptive Image Content Representation and | segmentation | Approach to Automatic Image Annotation, An |
| Adaptive Image | segmentation | |
| Adaptive image | segmentation | algorithm under the constraint of edge posterior probability |
| Adaptive image | segmentation | based on color and texture |
| Adaptive Image | segmentation | by Combining Photometric Invariant Region and Edge Information |
| Adaptive image | segmentation | by using mean-shift and evolutionary optimisation |
| Adaptive image | segmentation | for region-based object retrieval using generalized Hough transform |
| Adaptive image | segmentation | method based on the fuzzy c-means with spatial information |
| Adaptive Image | segmentation | Method with Automatic Selection of Optimal Scale for Extracting Cropland Parcels in Smallholder Farming Systems, An |
| Adaptive Image | segmentation | Method with Visual Nonlinearity Characteristics, An |
| Adaptive image | segmentation | system |
| Adaptive Image | segmentation | Using a Genetic Algorithm |
| Adaptive Image | segmentation | Using Genetic And Hybrid Search Methods |
| Adaptive Image | segmentation | Using Multi-Objective Evaluation and Hybrid Search Methods |
| Adaptive Image | segmentation | Using Prototype Similarity |
| Adaptive Image | segmentation | With Distributed Behavior-Based Agents |
| adaptive infrared image | segmentation | method based on fusion SPCNN, An |
| Adaptive learning Unet-based adversarial network with CNN and transformer for | segmentation | of hard exudates in diabetes retinopathy |
| Adaptive Level Set | segmentation | on a Triangulated Mesh, An |
| Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic | segmentation | of Remote Sensing Imagery |
| Adaptive local-fitting-based active contour model for medical image | segmentation | |
| Adaptive localised region and edge-based active contour model using shape constraint and sub-global information for uterine fibroid | segmentation | in ultrasound-guided HIFU therapy |
| Adaptive Markov Random Fields for Joint Unmixing and | segmentation | of Hyperspectral Images |
| Adaptive Mean-Shift Framework for MRI Brain | segmentation | , An |
| Adaptive Memory Management for Video Object | segmentation | |
| Adaptive mesh generation for image registration and | segmentation | |
| adaptive method of color road | segmentation | , An |
| Adaptive Methods for Motion Characterization and | segmentation | of MPEG Compressed Frame Sequences |
| Adaptive Mixture Estimation and Unsupervised Local Bayesian Image | segmentation | |
| Adaptive modeling and | segmentation | of visual image streams |
| Adaptive Morphological Reconstruction for Seeded Image | segmentation | |
| Adaptive morphological time stamp | segmentation | based on efficient global motion estimation |
| Adaptive Motion | segmentation | Algorithm Based on the Principal Angles Configuration |
| Adaptive Motion | segmentation | Based on Genetic Algorithm |
| Adaptive motion-compensated interpolation based on spatiotemporal | segmentation | |
| Adaptive mouth | segmentation | using chromatic features |
| Adaptive Multiphase Liver Tumor | segmentation | With Multiscale Supervision |
| Adaptive Multiple Object Tracking Using Colour and | segmentation | Cues |
| Adaptive MultiScale | segmentation | s for Hyperspectral Image Classification |
| Adaptive Nonlocal Random Walks for Image Superpixel | segmentation | |
| Adaptive Online Mutual Learning Bi-Decoders for Video Object | segmentation | |
| Adaptive Optimal Shape Prior for Easy Interactive Object | segmentation | |
| adaptive over-split and merge algorithm for page | segmentation | , An |
| Adaptive Page | segmentation | for Color Technical Journals' Cover Images |
| Adaptive Parameter Selection for Image | segmentation | Based on Similarity Estimation of Multiple Segmenters |
| Adaptive parametric statistical background subtraction for video | segmentation | |
| Adaptive particle filter with body part | segmentation | for full body tracking |
| Adaptive particle filtering for coronary artery | segmentation | from 3D CT angiograms |
| Adaptive Patch-Based Background Modelling for Improved Foreground Object | segmentation | and Tracking |
| Adaptive Pattern-Recognition System for Scene | segmentation | |
| Adaptive perceptual color-texture image | segmentation | |
| Adaptive Perspective Distillation for Semantic | segmentation | |
| Adaptive Pixon Represented | segmentation | (APRS) for 3D MR Brain Images Based on Mean Shift and Markov Random Fields |
| Adaptive Polar Active Contour for | segmentation | and Tracking in Ultrasound Videos |
| Adaptive Polar-Grid Gaussian-Mixture Model for Foreground | segmentation | Using Roadside LiDAR |
| Adaptive Post-Processing Network With the Global-Local Aggregation for Semantic | segmentation | , An |
| Adaptive Probabilistic Models of Wavelet Packets for the Analysis and | segmentation | of Textured Remote Sensing Images |
| Adaptive Probabilistic Thresholding Method for Accurate Breast Region | segmentation | in Mammograms |
| Adaptive Prototype Learning and Allocation for Few-Shot | segmentation | |
| Adaptive pyramid approach to texture | segmentation | |
| Adaptive Pyramid Context Network for Semantic | segmentation | |
| Adaptive Refining-Aggregation-Separation Framework for Unsupervised Domain Adaptation Semantic | segmentation | |
| Adaptive Region Growing Color | segmentation | for Text Using Irregular Pyramid |
| Adaptive Region-Specific Loss for Improved Medical Image | segmentation | |
| Adaptive Regularization for Image | segmentation | Using Local Image Curvature Cues |
| Adaptive regularization level set evolution for medical image | segmentation | and bias field correction |
| Adaptive Regularization Parameter for Graph Cut | segmentation | |
| Adaptive Robust Structure Tensors for Orientation Estimation and Image | segmentation | |
| Adaptive ROI generation for video object | segmentation | using reinforcement learning |
| Adaptive Satellite Images | segmentation | by Level Set Multiregion Competition |
| Adaptive Scale Fixing for Multiscale Texture | segmentation | |
| adaptive | segmentation | algorithm for time-of-flight MRA data, An |
| Adaptive | segmentation | Algorithm Using Iterative Local Feature Extraction for Hyperspectral Imagery, An |
| adaptive | segmentation | and 3-D visualisation of the lungs, An |
| Adaptive | segmentation | for gymnastic exercises based on change detection over multiresolution combined differences |
| Adaptive | segmentation | for multi-view stereo |
| Adaptive | segmentation | for Vessels Dynamic Characterization Using High Resolution MR Sequences |
| Adaptive | segmentation | of document images |
| Adaptive | segmentation | of images of objects with smooth surfaces |
| Adaptive | segmentation | of MR Axial Brain Images Using Connected Components |
| Adaptive | segmentation | of MRI data |
| Adaptive | segmentation | of Noisy and Textured Images |
| Adaptive | segmentation | of Remote-Sensing Images for Aerial Surveillance |
| Adaptive | segmentation | of Speckled Images Using a Hierarchical Random Field Model |
| Adaptive | segmentation | of Textured Images by Using the Coupled Markov Random Field Model |
| Adaptive | segmentation | of Ultrasound Images |
| Adaptive | segmentation | of Unique Objects |
| Adaptive | segmentation | -based filtering of reference samples for intra prediction |
| Adaptive | segmentation | -Based Regularization Term for Image Restoration, An |
| Adaptive Semi-automated Integrated System for Multiple Sclerosis Lesion | segmentation | in Longitudinal MRI Scans Based on a Convolutional Neural Network, An |
| Adaptive Shadow and Highlight Invariant Colour | segmentation | for Traffic Sign Recognition Based on Kohonen SOM |
| Adaptive shape prior for recognition and variational | segmentation | of degraded historical characters |
| Adaptive shape prior in graph cut image | segmentation | |
| Adaptive shape prior in graph cut | segmentation | |
| adaptive spatial fuzzy clustering algorithm for 3-D MR image | segmentation | , An |
| Adaptive spatial information-theoretic clustering for image | segmentation | |
| adaptive spatial information-theoretic fuzzy clustering algorithm for image | segmentation | , An |
| Adaptive Spatial-BCE Loss for Weakly Supervised Semantic | segmentation | |
| Adaptive Split-and-Merge | segmentation | Based on Piecewise Least-Square Approximation |
| Adaptive Statistical Superpixel Merging With Edge Penalty for PolSAR Image | segmentation | |
| Adaptive stochastic | segmentation | via energy-convergence for brain tumor in MR images |
| Adaptive stopping criterion for top-down | segmentation | of ALS point clouds in temperate coniferous forests |
| Adaptive Subspace Map for Texture | segmentation | , The |
| Adaptive Superpixel for Active Learning in Semantic | segmentation | |
| Adaptive technology for mail-order form | segmentation | |
| Adaptive Template Transformer for Mitochondria | segmentation | in Electron Microscopy Images |
| Adaptive texture and color | segmentation | for tracking moving objects |
| Adaptive Thresholding Based Cell | segmentation | for Cell-Destruction Activity Verification |
| adaptive transfer scheme based on sparse representation for figure-ground | segmentation | , An |
| adaptive unsupervised approach toward pixel clustering and color image | segmentation | , An |
| Adaptive Video | segmentation | : Theory and Real-Time Implementation |
| Adaptive Vision System for | segmentation | of Echographic Medical Images Based on a Modified Mumford-Shah Functional |
| Adaptive volumetric texture | segmentation | based on Gaussian Markov random fields features |
| Adaptive Weighting Multi-Field-Of-View CNN for Semantic | segmentation | in Pathology |
| Adaptive Window Based Uneven Lighting Document | segmentation | |
| adaptive-focus statistical shape model for | segmentation | and shape modeling of 3-D brain structures, An |
| adaptive-scale active contour model for inhomogeneous image | segmentation | and bias field estimation, An |
| AdaptorNAS: A New Perturbation-Based Neural Architecture Search for Hyperspectral Image | segmentation | |
| ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic | segmentation | |
| Adding GLCM Texture Analysis to a Combined Watershed Transform and Graph Cut Model for Image | segmentation | |
| ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic | segmentation | |
| Adequation and hardware implementation of the color structure descriptor for real-time temporal video | segmentation | |
| ADFNet: Accumulated decoder features for real-time semantic | segmentation | |
| ADPL: Adaptive Dual Path Learning for Domain Adaptation of Semantic | segmentation | |
| ADS-B-Based Spatiotemporal Alignment Network for Airport Video Object | segmentation | |
| Advances in Image and Video | segmentation | |
| Advances in Image | segmentation | |
| Advancing Referring Expression | segmentation | Beyond Single Image |
| ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic | segmentation | |
| Adversarial Attack on Semantic | segmentation | Preprocessed with Super Resolution |
| Adversarial Collaborative-Learning Approach for Corneal Scar | segmentation | with Ocular Anterior Segment Photography, An |
| Adversarial Confidence Learning for Medical Image | segmentation | and Synthesis |
| Adversarial Dense Contrastive Learning for Semi-Supervised Semantic | segmentation | |
| Adversarial Domain Adaptation with a Domain Similarity Discriminator for Semantic | segmentation | of Urban Areas |
| Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic | segmentation | |
| Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic | segmentation | |
| Adversarial Examples for Semantic | segmentation | and Object Detection |
| Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic | segmentation | |
| Adversarial Network Architecture Using 2D U-Net Models for | segmentation | of Left Ventricle from Cine Cardiac MRI, An |
| Adversarial | segmentation | Loss for Sketch Colorization |
| Adversarial Semantic Hallucination for Domain Generalized Semantic | segmentation | |
| Adversarial Unsupervised Domain Adaptation for 3D Semantic | segmentation | with Multi-Modal Learning |
| Adversarially Masking Synthetic to Mimic Real: Adaptive Noise Injection for Point Cloud | segmentation | Adaptation |
| Adversarially Robust Multi-Sensor Fusion Model Training Via Random Feature Fusion for Semantic | segmentation | |
| Adversarially Robust Panoptic | segmentation | (arpas) Benchmark |
| Aerial Colour Image | segmentation | by Karhunen-loeve Transform |
| Aerial image | segmentation | for flood risk analysis |
| Aerial Image | segmentation | via Noise Dispelling and Content Distilling |
| Aerial image semantic | segmentation | using DCNN predicted distance maps |
| Aerial imagery for roof | segmentation | : A large-scale dataset towards automatic mapping of buildings |
| Aerial LaneNet: Lane-Marking Semantic | segmentation | in Aerial Imagery Using Wavelet-Enhanced Cost-Sensitive Symmetric Fully Convolutional Neural Networks |
| Aerial Road | segmentation | in the Presence of Topological Label Noise |
| Aerodrome situational awareness of unmanned aircraft: an integrated self-learning approach with Bayesian network semantic | segmentation | |
| AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic | segmentation | Network |
| Affiliation possibility map filtering for image | segmentation | improvement |
| Affine Invariant Image | segmentation | |
| affine invariant tensor dissimilarity measure and its applications to tensor-valued image | segmentation | , An |
| Affine Invariant Texture | segmentation | and Shape from Texture by Variational Methods |
| Affine layer | segmentation | and adjacency graphs for vortex detection |
| Affine-Invariant Active Contour Model (AI-Snake) for Model-Based | segmentation | , An |
| Affinely Registered Multi-object Atlases as Shape Prior for Grid Cut | segmentation | of Lumbar Vertebrae from CT Images |
| Affinity Attention Graph Neural Network for Weakly Supervised Semantic | segmentation | |
| Affinity Derivation and Graph Merge for Instance | segmentation | |
| Affinity functions in fuzzy connectedness based image | segmentation | I: Equivalence of affinities |
| Affinity functions in fuzzy connectedness based image | segmentation | II: Defining and recognizing truly novel affinities |
| Affinity Fusion Graph-Based Framework for Natural Image | segmentation | |
| Affinity learning via self-diffusion for image | segmentation | and clustering |
| Affinity Space Adaptation for Semantic | segmentation | Across Domains |
| Affordance | segmentation | of hand-occluded containers from exocentric images |
| AFNet: Adaptive Fusion Network for Remote Sensing Image Semantic | segmentation | |
| AFTer-SAM: Adapting SAM with Axial Fusion Transformer for Medical Imaging | segmentation | |
| AFTer-UNet: Axial Fusion Transformer UNet for Medical Image | segmentation | |
| Agent-based image iris | segmentation | and multiple views boundary refining |
| Agglomerative clustering for image | segmentation | |
| Agglomerative clustering of feature data for image | segmentation | |
| agglomerative | segmentation | framework for non-convex regions within uterine cervix images, An |
| Aggregated Context Network For Semantic | segmentation | Of Aerial Images |
| Aggregation Pheromone Density Based Image | segmentation | |
| AGNet: An Attention-Based Graph Network for Point Cloud Classification and | segmentation | |
| Agnostic attribute | segmentation | of dynamic scenes with limited spatio-temporal resolution |
| Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles using Semantic | segmentation | and Semantic Line Detection |
| AGSS-VOS: Attention Guided Single-Shot Video Object | segmentation | |
| AGUnet: Annotation-guided U-net for fast one-shot video object | segmentation | |
| AINet: Association Implantation for Superpixel | segmentation | |
| Airborne Linear Array Image Geometric Rectification Method Based On Unequal | segmentation | |
| Airway | segmentation | , Skeletonization, and Tree Matching to Improve Registration of 3D CT Images with Large Opacities in the Lungs |
| Airway Tree | segmentation | from CT Scans Using Gradient-Guided 3D Region Growing |
| Airway-Tree | segmentation | in Subjects with Acute Respiratory Distress Syndrome |
| AKFNET: An Anatomical Knowledge Embedded Few-Shot Network for Medical Image | segmentation | |
| ALA-Net: Adaptive Lesion-Aware Attention Network for 3D Colorectal Tumor | segmentation | |
| Alarm System for | segmentation | Algorithm Based on Shape Model, An |
| Albedo Estimation for Scene | segmentation | |
| Algebraic Error Analysis for Surface Curvatures and | segmentation | of 3-D Range Images |
| Algorithm for Binary Image | segmentation | Using Polygonal Markov Fields, An |
| Algorithm for Blood-Vessel | segmentation | in 3D Images Based on a Right Generalized Cylinder Model: Application to Carotid Arteries |
| Algorithm for Boundary Adjustment toward Multi-Scale Adaptive | segmentation | of Remotely Sensed Imagery, An |
| Algorithm for Colour-Based Natural Scene Text | segmentation | , An |
| Algorithm for Contrast Enhancement and | segmentation | of Complex Geophysical Images, An |
| algorithm for | segmentation | of metaphase spreads, An |
| algorithm for simultaneous image | segmentation | and nonrigid registration, with clinical application in image guided radiotherapy, An |
| Algorithm for the | segmentation | of Bilevel Images, An |
| Algorithm for the | segmentation | of Highly Abnormal Hearts Using a Generic Statistical Shape Model, An |
| Algorithms for Fuzzy | segmentation | |
| Algorithms for Image | segmentation | |
| Algorithms for semantic | segmentation | of multispectral remote sensing imagery using deep learning |
| Aliasing Artifact Suppression with Adaptive | segmentation | Based Edge Enhancement |
| Aligned Cluster Analysis for temporal | segmentation | of human motion |
| Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology | segmentation | |
| Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object | segmentation | |
| AlignSeg: Feature-Aligned | segmentation | Networks |
| All About Structure: Adapting Structural Information Across Domains for Boosting Semantic | segmentation | |
| All you need are a few pixels: semantic | segmentation | with PixelPick |
| All-Pairs Consistency Learning for Weakly Supervised Semantic | segmentation | |
| Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway | segmentation | |
| Alleviating Over- | segmentation | Errors by Detecting Action Boundaries |
| Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic | segmentation | |
| Alpha cut for interactive image | segmentation | of thin and elongated objects |
| Alternating Scheme for Supervised Parameter Learning with Application to Image | segmentation | |
| ALVLS: Adaptive local variances-Based levelset framework for medical images | segmentation | |
| AM-FM Image | segmentation | |
| AM-FM texture | segmentation | in electron microscopic muscle imaging |
| AM/FM signal estimation with micro- | segmentation | and polynomial fit |
| Ambiguity Reduction in Handwriting with Ambiguous | segmentation | and Uncertain Interpretation |
| Ambiguous Medical Image | segmentation | Using Diffusion Models |
| Ambrosio-Tortorelli | segmentation | of Stochastic Images |
| Ambrosio-Tortorelli | segmentation | of Stochastic Images: Model Extensions, Theoretical Investigations and Numerical Methods |
| AMCFNet: Asymmetric multiscale and crossmodal fusion network for RGB-D semantic | segmentation | in indoor service robots |
| AMFuse: Add-Multiply-Based Cross-Modal Fusion Network for Multi-Spectral Semantic | segmentation | |
| Amodal Instance | segmentation | |
| Amodal Instance | segmentation | With KINS Dataset |
| Amodal Intra-class Instance | segmentation | : Synthetic Datasets and Benchmark |
| Amodal Panoptic | segmentation | |
| Amodal | segmentation | through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model |
| AMOS: an active system for MPEG-4 video object | segmentation | |
| AMP: Adaptive Masked Proxies for Few-Shot | segmentation | |
| Amplitude | segmentation | Method Based on the Distribution Function of an Image, An |
| AMSC: Adaptive Masking and Structure-Constraint Learning for Domain Adaptive Semantic | segmentation | Under Adverse Conditions |
| Anabranch network for camouflaged object | segmentation | |
| analog motion field detection chip for image | segmentation | , An |
| Analog Network for Continuous-Time | segmentation | , An |
| Analysis and evaluation of hard and fuzzy clustering | segmentation | techniques in burned patient images |
| Analysis and | segmentation | of a Three-Dimensional X-ray Computed Tomography Image of a Textile Composite |
| Analysis and | segmentation | of remote-sensing images for land-cover mapping |
| Analysis of Abnormality in Endoscopic images using Combined HSI Color Space and Watershed | segmentation | |
| Analysis of Efficient CNN Design Techniques for Semantic | segmentation | |
| Analysis of face and segment level descriptors for robust 3D co- | segmentation | |
| Analysis of Fuzzy Clustering Algorithms for the | segmentation | of Burn Wounds Photographs |
| Analysis of Hand | segmentation | in the Wild |
| Analysis of Human Motion, Based on the Reduction of Multidimensional Captured Data: Application to Hand Gesture Compression, | segmentation | and Synthesis |
| Analysis of learning using | segmentation | models |
| Analysis of Numerical Methods for Level Set Based Image | segmentation | |
| Analysis of planar-motion | segmentation | using affine fundamental matrix |
| Analysis of Ramp Discontinuity Model for Multiscale Image | segmentation | |
| Analysis of Relevant Maxima in Distance Transform. An Application to Fast Coarse Image | segmentation | |
| Analysis of Scalar Maps for the | segmentation | of the Corpus Callosum in Diffusion Tensor Fields |
| Analysis of | segmentation | performance on the CEDAR benchmark database |
| Analysis of Speed Sign Classification Algorithms Using Shape Based | segmentation | of Binary Images |
| Analysis of the performance of various algorithms for the | segmentation | of the carotid artery |
| Analysis of the weighted Van der Waals-Cahn-Hilliard model for image | segmentation | |
| Analysis of vector space model and spatiotemporal | segmentation | for video indexing and retrieval |
| Analysis on | segmentation | and biomarker-based approaches for liver cancer detection: A survey |
| Analysis, synthesis, and Evaluation of Local Measures for Discrimination and | segmentation | of Textured Regions, The |
| Analysis-by-Synthesis Search for Semantic | segmentation | Applied to Workpiece Recognition |
| Analytic Structure of Image Flows: Deformation and | segmentation | , The |
| Analyzing Overfitting Under Class Imbalance in Neural Networks for Image | segmentation | |
| Analyzing Semantic | segmentation | Using Hybrid Human-Machine CRFs |
| Analyzing the Subspace Structure of Related Images: Concurrent | segmentation | of Image Sets |
| Analyzing Training Information From Random Forests for Improved Image | segmentation | |
| Analyzing U-Net Robustness for Single Cell Nucleus | segmentation | from Phase Contrast Images |
| Anatomical Attention Guided Deep Networks for ROI | segmentation | of Brain MR Images |
| Anatomical model matching with fuzzy implicit surfaces for | segmentation | of thoracic volume scans |
| Anatomical multiatlas | segmentation | using local texture statistical properties for matching descriptor with machine learning |
| Anatomical Priors in Convolutional Networks for Unsupervised Biomedical | segmentation | |
| Anatomical region | segmentation | method from dermoscopic images of pigmented skin lesions |
| Anatomical Skin | segmentation | in Reflectance Confocal Microscopy with Weak Labels |
| Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and | segmentation | |
| Anatomy- and Topology-Preserving Framework for Coronary Artery | segmentation | , An |
| Anatomy-Guided Lung Lobe | segmentation | in X-Ray CT Images |
| Anatomy-Regularized Representation Learning for Cross-Modality Medical Image | segmentation | |
| Anchor Diffusion for Unsupervised Video Object | segmentation | |
| Anchor-Constrained Viterbi for Set-Supervised Action | segmentation | |
| Ancient Book Seals | segmentation | Based on Automatic Region Growing |
| ANGY: A Rule-Based Expert System for Automatic | segmentation | of Coronary Vessels from Digital Subtracted Angiograms |
| Anisotropic Adapted Meshes for Image | segmentation | : Application to Three-Dimensional Medical Data |
| Anisotropic Diffusion and Curve Evolution for | segmentation | of Color Images in Cultural Heritage |
| Anisotropic Diffusion and | segmentation | of Colored Flowers |
| Anisotropic Diffusion by a Recursive Linear Convolving Method: Application to Space-time | segmentation | and Pattern Recognition |
| Anisotropic diffusion pyramids for image | segmentation | |
| Anisotropic Diffusion-Based Enhancement of Scene | segmentation | with Instance Labels |
| Anisotropic filtering for model-based | segmentation | of 4D cylindrical echocardiographic images |
| Ankle cartilage surface | segmentation | using directional gradient vector flow snakes |
| Annotated Contraction Kernels for Interactive Image | segmentation | |
| Annotation-Efficient Learning for Medical Image | segmentation | Based on Noisy Pseudo Labels and Adversarial Learning |
| Annotation-free Audio-Visual | segmentation | |
| Annoyance of spatio-temporal artifacts in | segmentation | quality assessment |
| Annularcut: A graph-cut design for left ventricle | segmentation | from magnetic resonance images |
| AnoLeaf: Unsupervised Leaf Disease | segmentation | via Structurally Robust Generative Inpainting |
| Anomaly-Aware Semantic | segmentation | via Style-Aligned OoD Augmentation |
| Another look on region merging procedure from seed region shift for high-resolution remote sensing image | segmentation | |
| Ant colony system with local search for Markov random field image | segmentation | |
| Anterior Cruciate Ligament | segmentation | from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints |
| Anthropocentric Video | segmentation | for Lecture Webcasts |
| Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic | segmentation | |
| Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic | segmentation | and Object Localization |
| Anti-aliasing Semantic Reconstruction for Few-Shot Semantic | segmentation | |
| Anti-Geometric Diffusion for Adaptive Thresholding and Fast | segmentation | |
| Anti-geometric Diffusion for Adaptive Thresholding and | segmentation | |
| Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image | segmentation | |
| AnyStar: Domain randomized universal star-convex 3D instance | segmentation | |
| Aorta | segmentation | using the watershed algorithm for an augmented reality system in laparoscopic surgery |
| Aortic Valve Tract | segmentation | From 3D-TEE Using Shape-Based B-Spline Explicit Active Surfaces |
| APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic | segmentation | |
| APANet: Auto-Path Aggregation for Future Instance | segmentation | Prediction |
| Apaunet: Axis Projection Attention Unet for Small Target in 3d Medical | segmentation | |
| APENet: Adaptive Pyramid Pooling and SE Network for Superpixel | segmentation | |
| APNet: Urban-level Scene | segmentation | of Aerial Images and Point Clouds |
| Appearance and Shape Prior Alignments in Level Set | segmentation | |
| Applicability of Cycle GANs for Pupil and Eyelid | segmentation | , Data Generation and Image Refinement, The |
| Application of a Two-Level Self Organizing Map for Korean Online Game Market | segmentation | |
| Application of Automatic Image Registration in a | segmentation | Framework of Pelvic CT Images |
| Application of Bi-gram Driven Chinese Handwritten Character | segmentation | for an Address Reading System |
| Application of CNN-Based Image | segmentation | for Tracking Coastal Erosion and Post-Storm Recovery, The |
| Application of Competitive Hopfield Neural Network to Medical Image | segmentation | , The |
| Application of diffusion tensor MRI to neurological | segmentation | |
| Application of graph coloring in physical layout | segmentation | |
| Application of Image | segmentation | in Surface Water Extraction of Freshwater Lakes using Radar Data |
| Application of Improved Instance | segmentation | Algorithm Based on VoVNet-v2 in Open-Pit Mines Remote Sensing Pre-Survey |
| Application of Micro-Computed Tomography With Iodine Staining to Cardiac Imaging, | segmentation | , and Computational Model Development |
| Application of Monte Carlo simulation with block-spin transformation based on the Mumford-Shah | segmentation | model to three-dimensional biomedical images |
| Application of Multi-modal Fusion Attention Mechanism in Semantic | segmentation | |
| Application of Planar Motion | segmentation | for Scene Text Extraction |
| Application of Quadratic Measure Filters to the | segmentation | of Chorio-Retinal OCT Data, An |
| Application of quantum dot gate nonvolatile memory (QDNVM) in image | segmentation | |
| application of Quantum-inspired ant colony algorithm in automatic | segmentation | of tomato image, The |
| Application of Radial Ray Based | segmentation | to Cervical Lymph Nodes in CT Images |
| Application of Relaxation to Waveforms with Ambiguous | segmentation | s, The |
| Application of the cluster approximation for the simultaneous restoration and | segmentation | of tomographic images |
| Application of the Conditional Population-Mixture Model to Image | segmentation | |
| Application of Wavelet Transforms and Bayes Classifier to | segmentation | of Ultrasound Images |
| Application of wavelet transforms for C/V | segmentation | on Mandarin speech signals |
| Application program interface for automatic | segmentation | of retinal layers and fluids in Optical Coherence Tomography - Neovascular Age related Macular degeneration retinal images using deep learning models |
| Application-Independent and | segmentation | -Free Approach for Spotting Queries in Document Images, An |
| Applying deformable templates for cell image | segmentation | |
| Applying fast | segmentation | techniques at a binary image represented by a set of non-overlapping blocks |
| Applying incremental learning to parallel image | segmentation | |
| Applying object-based | segmentation | in the temporal domain to characterise snow seasonality |
| Applying Prior Knowledge in the | segmentation | of 3D Complex Anatomic Structures |
| Applying Recursive EM to Scene | segmentation | |
| Applying training hidden features to joint curve evolution for brain MRI | segmentation | |
| APPOS: An adaptive partial occlusion | segmentation | method for multiple vehicles tracking |
| approach for dynamic combination of region and boundary information in | segmentation | , An |
| approach for handwritten Chinese text recognition unifying character | segmentation | and recognition, An |
| approach for locating | segmentation | points of handwritten digit strings using a neural network, An |
| Approach for | segmentation | of Textured Dynamic Scenes, An |
| Approach for sequential image interpretation using a priori binary perceptual topological and photometric knowledge and k-means-based | segmentation | |
| approach to image | segmentation | based on shortest paths in graphs, An |
| Approach to Knowledge-Driven | segmentation | , An |
| Approach to Streaming Video | segmentation | With Sub-Optimal Low-Rank Decomposition, An |
| Approach to the | segmentation | of Textured Dynamic Scenes, An |
| Approach to Three-Dimensional Image | segmentation | , An |
| Approach Toward Fast Gradient-Based Image | segmentation | , An |
| Approaches for Event | segmentation | of Visual Lifelog Data |
| Approximate Bayes Factors for Image | segmentation | : The Pseudolikelihood Information Criterion (PLIC) |
| Approximation of Curvature and Velocity for Gesture | segmentation | and Synthesis |
| Approximation of Images by Basis Functions for Multiple Region | segmentation | with Level Sets |
| Arabic newspaper page | segmentation | |
| Arabic optical character recognition system using recognition-based | segmentation | , An |
| Arbitrary body | segmentation | in static images |
| Arbitrary Body | segmentation | With a Novel Graph Cuts-Based Algorithm |
| Arbitrary Shape Text Detection via | segmentation | with Probability Maps |
| Arbitrary warped document image restoration based on | segmentation | and Thin-Plate Splines |
| Arc | segmentation | from Complex Line Environments: A Vector-Based Stepwise Recovery Algorithm |
| Arc | segmentation | in Linear Time |
| Architectural image | segmentation | using digital watersheds |
| Architecture design for a low-cost and low-complexity foreground object | segmentation | with Multi-model Background Maintenance algorithm |
| Architecture Search of Dynamic Cells for Semantic Video | segmentation | |
| Architecture-Driven Level Set Optimization: From Clustering to Subpixel Image | segmentation | |
| Are Multifractal Multipermuted Multinomial Measures Good Enough for Unsupervised Image | segmentation | ? |
| Are spatial and global constraints really necessary for | segmentation | ? |
| Are We Hungry for 3D LiDAR Data for Semantic | segmentation | ? A Survey of Datasets and Methods |
| Area and Length Minimizing Flows for Shape | segmentation | |
| Area Morphological | segmentation | for Content Based Retrieval |
| Area | segmentation | of Images Using Edge Points |
| Area-time efficient between-class variance module for adaptive | segmentation | process |
| Array Algebra Polynomial Fitting for Image | segmentation | |
| Articulated Deformable Structure Approach to Human Motion | segmentation | and Shape Recovery from an Image Sequence |
| Articulated Motion | segmentation | Of Point Clouds by Group-Valued Regularization |
| Articulated Motion | segmentation | Using RANSAC with Priors |
| ArticulatedFusion: Real-Time Reconstruction of Motion, Geometry and | segmentation | Using a Single Depth Camera |
| Artificial Creatures for Object Tracking and | segmentation | |
| Artificial life for | segmentation | of fusion ultrasound images of breast abnormalities |
| As Time Goes by: Anytime Semantic | segmentation | with Iterative Context Forests |
| ASPnet: Action | segmentation | with Shared-Private Representation of Multiple Data Sources |
| ASPP+-LANet: A Multi-Scale Context Extraction Network for Semantic | segmentation | of High-Resolution Remote Sensing Images |
| AssesSeg: A Command Line Tool to Quantify Image | segmentation | Quality: A Test Carried Out in Southern Spain from Satellite Imagery |
| Assessing Agreement on | segmentation | s by Means of Staccato, the Segmentation Agreement Calculator according to Thomann |
| Assessing Agreement on | segmentation | s by Means of Staccato, the Segmentation Agreement Calculator according to Thomann |
| Assessing Cloud | segmentation | in the Chromacity Diagram of All-Sky Images |
| Assessing Encoder-Decoder Architectures for Robust Coronary Artery | segmentation | |
| Assessing the Impact of the Loss Function and Encoder Architecture for Fire Aerial Images | segmentation | Using Deeplabv3+ |
| Assessing the Role of Boundary-Level Objectives in Indoor Semantic | segmentation | |
| Assessment Of Multiresolution | segmentation | For Extracting Greenhouses From Worldview-2 Imagery |
| Assessment of Rangeland Degradation in New Mexico Using Time Series | segmentation | and Residual Trend Analysis (TSS-RESTREND) |
| Assessment of | segmentation | Parameters for Object-Based Land Cover Classification Using Color-Infrared Imagery |
| Assessment of the | segmentation | of RGB Remote Sensing Images: A Subjective Approach |
| Assessment of Very High Spatial Resolution Satellite Image | segmentation | s |
| ASSET-2: Real-Time Motion | segmentation | and Object Tracking |
| ASSET-2: Real-Time Motion | segmentation | and Shape Tracking |
| Assignment Flow for Order-Constrained OCT | segmentation | |
| Assignment-Space-based Multi-Object Tracking and | segmentation | |
| Associating Inter-image Salient Instances for Weakly Supervised Semantic | segmentation | |
| Associative hierarchical CRFs for object class image | segmentation | |
| associative saliency | segmentation | method for infrared targets, An |
| AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor | segmentation | |
| Asymmetric Cross-Guided Attention Network for Actor and Action Video | segmentation | From Natural Language Query |
| Asymmetric Generalized Gaussian Mixture Models and EM Algorithm for Image | segmentation | |
| Asymmetric Multi-Phase Deformable Model for Colon | segmentation | |
| Asymmetric Non-Local Neural Networks for Semantic | segmentation | |
| Asymmetry analysis of breast thermograms using automated | segmentation | and texture features |
| Asynchronous Events-based Panoptic | segmentation | using Graph Mixer Neural Network |
| Atherosclerotic Blood Vessel Tracking and Lumen | segmentation | in Topology Changes Situations of MR Image Sequences |
| Atherosclerotic Plaque | segmentation | at Human Carotid Artery Based on Multiple Contrast Weighting MR Images |
| Atlas Renormalization for Improved Brain MR Image | segmentation | Across Scanner Platforms |
| Atlas-based | segmentation | of brain magnetic resonance imaging using random walks |
| Atlas-based | segmentation | of brain MR images using least square support vector machines |
| Atlas-Based | segmentation | of Medical Images Locally Constrained by Level Sets |
| Atlas-based | segmentation | of neonatal brain MR images using a gray matter enhancing step |
| Atlas-Based | segmentation | of Pathological Brain MR Images |
| Atlas-Based | segmentation | of Pathological MR Brain Images Using a Model of Lesion Growth |
| Atlas-Based Whole-Body PET-CT | segmentation | Using a Passive Contour Distance |
| Atlas-Driven Lung Lobe | segmentation | in Volumetric X-Ray CT Images |
| Atmospheric Transmission and Thermal Inertia Induced Blind Road | segmentation | with a Large-Scale Dataset TBRSD |
| Atrous Temporal Convolutional Network for Video Action | segmentation | |
| ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image | segmentation | |
| Attend and Segment: Attention Guided Active Semantic | segmentation | |
| Attention augmented residual autoencoder for efficient polyp | segmentation | |
| Attention Based Coupled Framework for Road and Pothole | segmentation | |
| Attention fusion network for multi-spectral semantic | segmentation | |
| Attention Graph Convolution Network for Image | segmentation | in Big SAR Imagery Data |
| Attention Guided Global Enhancement and Local Refinement Network for Semantic | segmentation | |
| Attention guided U-Net for accurate iris | segmentation | |
| Attention to Scale: Scale-Aware Semantic Image | segmentation | |
| Attention Toward Neighbors: A Context Aware Framework for High Resolution Image | segmentation | |
| Attention Unet++: A Nested Attention-Aware U-Net for Liver CT Image | segmentation | |
| Attention-Assisted Adversarial Model for Cerebrovascular | segmentation | in 3D TOF-MRA Volumes |
| Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic | segmentation | |
| Attention-Based Pyramid Network for | segmentation | and Classification of High-Resolution and Hyperspectral Remote Sensing Images |
| Attention-Based | segmentation | on an Image Pyramid Sequence |
| Attention-based video object | segmentation | algorithm |
| Attention-driven | segmentation | of cluttered 3D scenes |
| attention-fused network for semantic | segmentation | of very-high-resolution remote sensing imagery, An |
| Attention-guided chained context aggregation for semantic | segmentation | |
| Attention-Guided Multi-Scale | segmentation | Neural Network for Interactive Extraction of Region Objects from High-Resolution Satellite Imagery |
| Attention-Guided Unified Network for Panoptic | segmentation | |
| Attentional prototype inference for few-shot | segmentation | |
| Attentional Scene | segmentation | : Integrating Depth and Motion |
| AttentionBoost: Learning What to Attend for Gland | segmentation | in Histopathological Images by Boosting Fully Convolutional Networks |
| AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance | segmentation | |
| Attentively Learning Edge Distributions for Semantic | segmentation | of Remote Sensing Imagery |
| Attenuation map | segmentation | without reconstruction using a level set method in nuclear medicine imaging |
| Attribute Operators for Color Images: Image | segmentation | Improved by the Use of Unsupervised Segmentation Evaluation Methods |
| Attribute Operators for Color Images: Image | segmentation | Improved by the Use of Unsupervised Segmentation Evaluation Methods |
| Attribute-Aware Feature Encoding for Object Recognition and | segmentation | |
| Attribute-Filtering and Knowledge Extraction for Vessel | segmentation | |
| Attributed Relational Graph-Based Learning of Object Models for Object | segmentation | |
| Attributed Relational Graphs for Cell Nucleus | segmentation | in Fluorescence Microscopy Images |
| Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic | segmentation | |
| Audio | segmentation | and Speaker Localization in Meeting Videos |
| Audio-Based Sports Video | segmentation | and Event Detection Algorithm, An |
| Audio-Visual | segmentation | |
| Augmentation Based on Artificial Occlusions for Resilient Instance | segmentation | |
| Augmentation Invariance and Adaptive Sampling in Semantic | segmentation | of Agricultural Aerial Images |
| Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic | segmentation | |
| Augmented Feedback in Semantic | segmentation | Under Image Level Supervision |
| Augmented tree partitioning for interactive image | segmentation | |
| Augmenting Training Samples with a Large Number of Rough | segmentation | Datasets |
| Aurora image | segmentation | by combining patch and texture thresholding |
| Author's Reply to MoNuSAC2020: A Multi-Organ Nuclei | segmentation | and Classification Challenge |
| Auto Accessory | segmentation | and Interactive Try-on System |
| Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image | segmentation | |
| Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image | segmentation | |
| Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image | segmentation | |
| Autoassociative | segmentation | for Real Time Object Recognition in Realistic Outdoor Images |
| AutoCaCoNet: Automatic Cartoon Colorization Network Using Self-Attention GAN, | segmentation | , and Color Correction |
| Autoencoder-based background reconstruction and foreground | segmentation | with background noise estimation |
| AutoFocusFormer: Image | segmentation | off the Grid |
| AutoGPart: Intermediate Supervision Search for Generalizable 3D Part | segmentation | |
| Automated 3-D Intraretinal Layer | segmentation | of Macular Spectral-Domain Optical Coherence Tomography Images |
| Automated 3-D Retinal Layer | segmentation | of Macular Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments |
| Automated 3-D | segmentation | of Internal Hemoglobin in TEM Images |
| Automated 3-D | segmentation | of Lungs With Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach |
| Automated 3D Muscle | segmentation | from MRI Data Using Convolutional Neural Network |
| Automated 3D Reconstruction and | segmentation | from Optical Coherence Tomography |
| Automated 3D | segmentation | and Analysis of Cotton Plants |
| Automated 3D | segmentation | of Lung Fields in Thin Slice CT Exploiting Wavelet Preprocessing |
| Automated 3D | segmentation | of Vertebral Bodies and Intervertebral Discs from MRI |
| Automated 4D | segmentation | of Aortic Magnetic Resonance Images |
| Automated Abdominal Multi-Organ | segmentation | With Subject-Specific Atlas Generation |
| automated airway | segmentation | algorithm for CT images using topological leakage detection and volume freezing, An |
| Automated analysis of a sequence of ovarian ultrasound images. Part I: | segmentation | of single 2D images |
| Automated and Interactive Lesion Detection and | segmentation | in Uterine Cervix Images |
| Automated Axon | segmentation | from Highly Noisy Microscopic Videos |
| Automated Borders Detection and Adaptive | segmentation | for Binary Document Images |
| Automated Brain Structure | segmentation | Based on Atlas Registration and Appearance Models |
| Automated brain tumour | segmentation | techniques: A review |
| Automated Building | segmentation | and Damage Assessment From Satellite Images for Disaster Relief |
| Automated Cardiovascular | segmentation | in Patients with Congenital Heart Disease from 3D CMR Scans: Combining Multi-atlases and Level-Sets |
| Automated Cell Nuclei | segmentation | in Pleural Effusion Cytology Using Active Appearance Model |
| Automated cell nucleus | segmentation | using improved snake |
| Automated Cell | segmentation | for Quantitative Phase Microscopy |
| Automated cervical cell image | segmentation | using level set based active contour model |
| Automated coronal hole | segmentation | from Solar EUV Images using the watershed transform |
| Automated delineation of lung tumors from CT images using a single click ensemble | segmentation | approach |
| Automated detection and | segmentation | of table of contents page and index pages from document images |
| Automated detection and | segmentation | of table of contents page from document images |
| Automated Detection of Label Errors in Semantic | segmentation | Datasets via Deep Learning and Uncertainty Quantification |
| Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima | segmentation | Method |
| Automated digital mammogram | segmentation | using Dispersed Region Growing and Sliding Window Algorithm |
| Automated Document | segmentation | |
| Automated Evaluation of Semantic | segmentation | Robustness for Autonomous Driving |
| Automated Extraction of Liver Outlines From Computed Tomography Scan Images Using a Cuda-based | segmentation | Method |
| Automated Fast Marching Method for | segmentation | and Tracking of Region of Interest in Scintigraphic Images Sequences |
| Automated feature weighting and random pixel sampling in k-means clustering for terahertz image | segmentation | |
| Automated gesture | segmentation | from dance sequences |
| Automated Gland | segmentation | and Classification for Gleason Grading of Prostate Tissue Images |
| automated gland | segmentation | and classification method in prostate biopsies: an image source-independent approach, An |
| Automated glaucoma detection using retinal layers | segmentation | and optic cup-to-disc ratio in optical coherence tomography images |
| Automated Hierarchical Approach for Three-Dimensional | segmentation | of Single Trees Using UAV LiDAR Data, An |
| Automated High-Level Movie | segmentation | for Advanced Video-Retrieval Systems |
| Automated human motion | segmentation | via motion regularities |
| Automated Image | segmentation | and Analysis of Rock Piles in an Open-Pit Mine |
| Automated lesion | segmentation | in fundus images with many-to-many reassembly of features |
| Automated Lip Contour Detection Using the Level Set | segmentation | Method |
| Automated mango flowering assessment via refinement | segmentation | |
| Automated Marine Oil Spill Detection Using Deep Learning Instance | segmentation | Model |
| Automated marker identification using the Radon transform for watershed | segmentation | |
| automated method for predicting iris | segmentation | failures, An |
| Automated method for the detection and | segmentation | of drusen in colour fundus image for the diagnosis of age-related macular degeneration |
| Automated Microaneurysm | segmentation | and Detection using Generalized Eigenvectors |
| Automated MR Hip Bone | segmentation | |
| Automated Muscle | segmentation | from Clinical CT Using Bayesian U-Net for Personalized Musculoskeletal Modeling |
| Automated Nuclear | segmentation | of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks |
| Automated Object Labeling for CNN-Based Image | segmentation | |
| Automated Optic Disk | segmentation | Via a Modified Snake Technique |
| Automated parameterisation for multi-scale image | segmentation | on multiple layers |
| Automated Performance Evaluation of Range Image | segmentation | |
| Automated Performance Evaluation of Range Image | segmentation | Algorithms |
| Automated person | segmentation | in videos |
| Automated Processing of Remote Sensing Imagery Using Deep Semantic | segmentation | : A Building Footprint Extraction Case |
| automated region growing algorithm for | segmentation | of texture regions in SAR images, An |
| Automated Region | segmentation | Using Attraction-Based Grouping in Spatial-Color-Texture Space |
| Automated retinal layer | segmentation | in OCT images of age-related macular degeneration |
| Automated Retinal Vessel | segmentation | Using Multiscale Analysis and Adaptive Thresholding |
| Automated Road-Marking | segmentation | via a Multiscale Attention-Based Dilated Convolutional Neural Network Using the Road Marking Dataset |
| Automated | segmentation | and area estimation of neural foramina with boundary regression model |
| Automated | segmentation | and Classification Framework for CT-Based Myocardial Perfusion Imaging for Detecting Myocardial Perfusion Defect, An |
| Automated | segmentation | and classification of chemical and other equations from document images |
| Automated | segmentation | and Classification of High Throughput Yeast Assay Spots |
| Automated | segmentation | and Retrieval System for CT Head Images |
| Automated | segmentation | and Structural Analysis of Vascular Trees Using Deformable Models |
| automated | segmentation | for nickel-based superalloy, An |
| Automated | segmentation | of 3D CT Images Based on Statistical Atlas and Graph Cuts |
| Automated | segmentation | of archaeological profiles for classification |
| Automated | segmentation | of Brain MR-Images |
| Automated | segmentation | of Brain Tumor Using Optimal Texture Features and Support Vector Machine Classifier |
| Automated | segmentation | of Brain Tumors in MRI Using Force Data Clustering Algorithm |
| Automated | segmentation | of Breast Arterial Calcifications from Digital Mammography |
| Automated | segmentation | of Breast in 3-D MR Images Using a Robust Atlas |
| Automated | segmentation | of CBCT Image with Prior-Guided Sequential Random Forest |
| Automated | segmentation | of diabetic macular edema in OCT B-scan images based on RCU-Net |
| Automated | segmentation | of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors |
| Automated | segmentation | of epiphysis and metaphysis for computerized bone age analysis |
| Automated | segmentation | of Human Brain MR Images Aided by Fuzzy Information Granulation and Fuzzy Inference |
| Automated | segmentation | of Immunostained Cell Nuclei in 3D Ultramicroscopy Images |
| Automated | segmentation | of iris images using visible wavelength face images |
| Automated | segmentation | of Lateral Ventricle in MR Images Using Multi-Scale Feature Fusion Convolutional Neural Network |
| Automated | segmentation | of Low-Light Level Imagery using Poisson MAP-MRF Labelling |
| Automated | segmentation | of Lumbar Vertebrae in Digital Videofluoroscopic Images |
| Automated | segmentation | of macular layers in OCT images and quantitative evaluation of performances |
| Automated | segmentation | of math-zones from document images |
| Automated | segmentation | of multiple sclerosis lesion in intensity enhanced flair MRI using texture features and support vector machine |
| Automated | segmentation | of multiple sclerosis lesions by model outlier detection |
| Automated | segmentation | of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Bound |
| Automated | segmentation | of overlapped nuclei using concave point detection and segment grouping |
| Automated | segmentation | of Prohibited Items in X-Ray Baggage Images Using Dense De-Overlap Attention Snake |
| Automated | segmentation | of Prostate MR Images Using Prior Knowledge Enhanced Random Walker |
| Automated | segmentation | of retinal blood vessels and identification of proliferative diabetic retinopathy |
| Automated | segmentation | of retinal layers from optical coherence tomography images using geodesic distance |
| Automated | segmentation | of RPE layer for the detection of age macular degeneration using OCT images |
| Automated | segmentation | of stromal tissue in histology images using a voting Bayesian model |
| Automated | segmentation | of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks |
| Automated | segmentation | of the epidermis area in skin whole slide histopathological images |
| Automated | segmentation | of the Left Ventricle Including Papillary Muscles in Cardiac Magnetic Resonance Images |
| Automated | segmentation | of the optic disc from fundus images using an asymmetric deep learning network |
| Automated | segmentation | of the Right Ventricle in 3D Echocardiography: A Kalman Filter State Estimation Approach |
| Automated | segmentation | of Torn Frames using the Graph Cuts Technique |
| Automated skin lesion | segmentation | of dermoscopic images using GrabCut and k-means algorithms |
| Automated Skin Lesion | segmentation | Via an Adaptive Dual Attention Module |
| Automated Snake Initialization for the | segmentation | of the Prostate in Ultrasound Images |
| Automated Topographic | segmentation | and Transit Time Estimation in Endoscopic Capsule Exams |
| automated vertebra identification and | segmentation | in CT images, An |
| Automated Vessel | segmentation | Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images |
| Automated Video Object Extraction System Based on Spatiotemporal Independent Component Analysis and Multiscale | segmentation | , An |
| Automated Water | segmentation | and River Level Detection on Camera Images Using Transfer Learning |
| Automated, Accurate and Fast | segmentation | of 4D Cardiac MR Images |
| Automatic 1D Histogram | segmentation | and Application to the Computation of Color Palettes |
| Automatic 3-D muscle and fat | segmentation | of thigh magnetic resonance images in individuals with spinal cord injury |
| Automatic 3-D | segmentation | of internal structures of the head in MR images using a combination of similarity and free-form transformations. I. Methodology and validation on normal subjects |
| Automatic 3-D | segmentation | of internal structures of the head in MR images using a combination of similarity and free-form transformations. II. Validation on severely atrophied brains |
| Automatic 3-D Skeleton-Based | segmentation | of Liver Vessels from MRI and CT for Couinaud Representation |
| Automatic 3D Bi-Ventricular | segmentation | of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach |
| automatic 3D CT/PET | segmentation | framework for bone marrow proliferation assessment, An |
| Automatic 3D facial | segmentation | and landmark detection |
| Automatic 3D lip shape | segmentation | and modelling |
| Automatic 3D Multiorgan | segmentation | via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases |
| Automatic 3D Object | segmentation | in Multiple Views using Volumetric Graph-Cuts |
| Automatic 3D | segmentation | and Quantification of Lenticulostriate Arteries from High-Resolution 7 Tesla MRA Images |
| Automatic 3D | segmentation | of the Liver from Computed Tomography Images, a Discrete Deformable Model Approach |
| Automatic 3d Shape Reconstruction of Bones Using Active Nets Based | segmentation | |
| Automatic 4D Flow MRI | segmentation | Using the Standardized Difference of Means Velocity |
| Automatic Abdominal Organ | segmentation | from CT images |
| Automatic Accident Detection, | segmentation | and Duration Prediction Using Machine Learning |
| Automatic active contour | segmentation | approach via vector field convolution |
| Automatic Algorithm for Evaluating the Precision of Iris | segmentation | , An |
| Automatic Alignment and Multi-View | segmentation | of Street View Data using 3D Shape Priors |
| Automatic and efficient 3D face feature | segmentation | with active contours |
| Automatic and optimal | segmentation | of the left ventricle in cardiac magnetic resonance images independent of the training sets |
| Automatic Aorta | segmentation | and Valve Landmark Detection in C-Arm CT for Transcatheter Aortic Valve Implantation |
| Automatic Aortic Root | segmentation | with Shape Constraints and Mesh Regularisation |
| Automatic atlas-based three-label cartilage | segmentation | from MR knee images |
| Automatic bi-layer video | segmentation | based on sensor fusion |
| Automatic blur region | segmentation | approach using image matting |
| Automatic body | segmentation | with graph cut and self-adaptive initialization level set (SAILS) |
| Automatic brain | segmentation | method based on supervoxels |
| Automatic brain | segmentation | using artificial neural networks with shape context |
| Automatic brain tissue | segmentation | in MR images using hybrid atlas forest based on confidence-weighted probability matrix |
| Automatic brain tumor | segmentation | for a computer-aided diagnosis system |
| Automatic Brain Tumor | segmentation | in Multispectral MRI Volumes Using a Random Forest Approach |
| Automatic Brain Tumour | segmentation | in 18F-FDOPA PET Using PET/MRI Fusion |
| Automatic breast ultrasound image | segmentation | : A survey |
| Automatic Building Detection in Aerial Images Using a Hierarchical Feature Based Image | segmentation | |
| Automatic Building | segmentation | of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks |
| Automatic cal U -Distribution and Markov Random Field | segmentation | Algorithm for PolSAR Images, An |
| Automatic Calibration of a LiDAR-Camera System Based on Instance | segmentation | |
| automatic cell | segmentation | method for differential interference contrast microscopy, An |
| Automatic Cell | segmentation | Using a Shape-Classification Model in Immunohistochemically Stained Cytological Images |
| Automatic cervical cancer | segmentation | in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture |
| Automatic Chain Line | segmentation | in Historical Prints |
| Automatic character location and | segmentation | in color scene images |
| Automatic choroid layer | segmentation | using normalized graph cut |
| Automatic cleaning and | segmentation | of web images based on colors to build learning databases |
| Automatic clothes | segmentation | for soft biometrics |
| Automatic cloud | segmentation | from INSAT-3D satellite image via IKM and IFCM clustering |
| Automatic color space selection for biological image | segmentation | |
| Automatic Color-Texture Image | segmentation | by Using Active Contours |
| Automatic Compartment Modelling and | segmentation | for Dynamical Renal Scintigraphies |
| Automatic computation of histogram threshold for lip | segmentation | using feedback of shape information |
| Automatic COVID-19 CT | segmentation | using U-Net integrated spatial and channel attention mechanism |
| Automatic COVID-19 lung infected region | segmentation | and measurement using CT-scans images |
| Automatic Data-Driven Method for SAR Image | segmentation | in Sea Surface Analysis, An |
| Automatic Defect | segmentation | by Unsupervised Anomaly Learning |
| Automatic Descending Aorta | segmentation | in Whole-Body PET-CT Studies for PERCIST-Based Thresholding |
| Automatic detection and | segmentation | of blood vessels and pulmonary nodules based on a line tracking method and generalized linear regression model |
| Automatic Detection and | segmentation | of Columns in As-Built Buildings from Point Clouds |
| Automatic Detection and | segmentation | of Crohn's Disease Tissues From Abdominal MRI |
| Automatic Detection and | segmentation | of Exosomes in Transmission Electron Microscopy |
| Automatic Detection and | segmentation | of Focal Liver Lesions in Contrast Enhanced CT Images |
| Automatic Detection and | segmentation | of Lentil Crop Breeding Plots From Multi-Spectral Images Captured by UAV-Mounted Camera |
| Automatic detection and | segmentation | of lung nodules in different locations from CT images based on adaptive a-hull algorithm and DenseNet convolutional network |
| Automatic Detection and | segmentation | of Lymph Nodes From CT Data |
| Automatic detection and | segmentation | of optic disc and fovea in retinal images |
| Automatic Detection and | segmentation | of Orchards Using Very High Resolution Imagery |
| Automatic detection of cervical cells in Pap-smear images using polar transform and k-means | segmentation | |
| Automatic Detection of Compound Structures by Joint Selection of Region Groups From a Hierarchical | segmentation | |
| Automatic Detection of Geospatial Objects Using Multiple Hierarchical | segmentation | s |
| Automatic detection of individual and touching moths from trap images by combining contour-based and region-based | segmentation | |
| Automatic Detection of Low-Rise Gable-Roof Building from Single Submeter SAR Images Based on Local Multilevel | segmentation | |
| Automatic Diagnosis of Masses by Using Level set | segmentation | and Shape Description |
| Automatic Dynamic Texture | segmentation | Using Local Descriptors and Optical Flow |
| Automatic Ear Landmark Localization, | segmentation | , and Pose Classification in Range Images |
| automatic energy-based region growing method for ultrasound image | segmentation | , An |
| Automatic estimation and | segmentation | of partial blur in natural images |
| Automatic Estimation of the Number of | segmentation | Groups Based on MI |
| Automatic Extraction of Bare Soil Land from High-Resolution Remote Sensing Images Based on Semantic | segmentation | with Deep Learning |
| Automatic extraction, | segmentation | and recognition of multi-font Indian Pincode |
| Automatic Facade | segmentation | for Thermal Retrofit |
| Automatic Face | segmentation | and Facial Landmark Detection in Range Images |
| Automatic Facial Skin | segmentation | Based on EM Algorithm under Varying Illumination |
| Automatic Fence | segmentation | in Videos of Dynamic Scenes |
| Automatic fish | segmentation | via double local thresholding for trawl-based underwater camera systems |
| Automatic Focal Blur | segmentation | Based on Difference of Blur Feature Using Theoretical Thresholding and Graphcuts |
| Automatic Foot Ulcer | segmentation | Using an Ensemble of Convolutional Neural Networks |
| Automatic foreground | segmentation | using light field images |
| Automatic Framework for Figure-Ground | segmentation | in Cluttered Backgrounds, An |
| Automatic Fusion of | segmentation | and Tracking Labels |
| Automatic generation of image- | segmentation | processes |
| Automatic Generation of Morphological Opening-Closing Sequences for Texture | segmentation | |
| Automatic Grid | segmentation | of Populated Chessboard Taken at a Lower Angle View |
| Automatic hand trajectory | segmentation | and phoneme transcription for sign language |
| Automatic Heart and Vessel | segmentation | Using Random Forests and a Local Phase Guided Level Set Method |
| Automatic Hepatic Tumor | segmentation | Using Composite Hypotheses |
| Automatic Heritage Building Point Cloud | segmentation | and Classification Using Geometrical Rules |
| Automatic High Resolution Wire | segmentation | and Removal |
| Automatic high-speed video glottis | segmentation | using salient regions and 3D geodesic active contours |
| Automatic Hip Bone | segmentation | Using Non-Rigid Registration |
| Automatic Hippocampal Subfield | segmentation | from 3T Multi-modality Images |
| Automatic Hot Spot Detection and | segmentation | in Whole Body FDG-PET Images |
| Automatic Human Knee Cartilage | segmentation | from Multi-contrast MR Images Using Extreme Learning Machines and Discriminative Random Fields |
| Automatic Human | segmentation | in Video Using Convex Active Contours |
| Automatic Identification for the Boundaries of InSAR Anomalous Deformation Areas Based on Semantic | segmentation | Model |
| Automatic Image Co- | segmentation | Using Geometric Mean Saliency |
| Automatic image event | segmentation | and quality screening for albuming applications |
| Automatic Image Registration Through Image | segmentation | and SIFT |
| Automatic image | segmentation | and classification based on direction texton technique for hemolytic anemia in thin blood smears |
| Automatic Image | segmentation | and Classification Using On-line Shape Learning |
| Automatic image | segmentation | based on label propagation |
| Automatic Image | segmentation | Based on Maximal Similarity Based Region Merging |
| Automatic Image | segmentation | by Dynamic Region Growth and Multiresolution Merging |
| Automatic Image | segmentation | by Dynamic Region Merging |
| Automatic image | segmentation | by integrating color-edge extraction and seeded region growing |
| Automatic Image | segmentation | by Positioning a Seed |
| Automatic Image | segmentation | by Tree Pruning |
| Automatic image | segmentation | for color documents |
| Automatic Image | segmentation | Optimized by Bilateral Filtering |
| Automatic image | segmentation | system through iterative edge-region co-operation |
| Automatic Image | segmentation | Technique Based on Pseudo-convex Hull, An |
| Automatic Image | segmentation | Using a Deformable Model Based on Charged Particles |
| Automatic image | segmentation | with Anisotropic Fast Marching algorithm and geodesic voting |
| Automatic image | segmentation | with smoothing |
| Automatic image-based | segmentation | of the heart from CT scans |
| Automatic Improvement of Graph Based Image | segmentation | |
| automatic integrated image | segmentation | , registration and change detection method for water-body extraction using HSR images and GIS data, An |
| Automatic Internal | segmentation | of Caudate Nucleus for Diagnosis of Attention-Deficit/Hyperactivity Disorder |
| Automatic Iris | segmentation | Based on Local Areas |
| Automatic IVUS media-adventitia border extraction using double interface graph cut | segmentation | |
| Automatic joint classification and | segmentation | of whole cell 3D images |
| Automatic Learning-Based Framework for Robust Nucleus | segmentation | , An |
| Automatic left ventricle | segmentation | via edge-shape feature-based fully convolutional neural network |
| Automatic Lesions | segmentation | in Ultrasound Nonlinear Imaging |
| Automatic Level Set Based Cerebral Vessel | segmentation | and Bone Removal in CT Angiography Data Sets |
| automatic level set based liver | segmentation | from MRI data sets, An |
| Automatic liver and lesion | segmentation | : A primary step in diagnosis of liver diseases |
| Automatic Liver | segmentation | and Hepatic Fat Fraction Assessment in MRI |
| Automatic Liver | segmentation | Based on Shape Constraints and Deformable Graph Cut in CT Images |
| Automatic liver | segmentation | for volume measurement in CT Images |
| Automatic liver | segmentation | from abdominal CT scans |
| Automatic Liver | segmentation | from CT Scans Using Multi-layer Segmentation and Principal Component Analysis |
| Automatic Liver | segmentation | from CT Scans Using Multi-layer Segmentation and Principal Component Analysis |
| Automatic Liver | segmentation | in Pre-TIPS Cirrhotic Patients: A Preliminary Step for Radiomics Studies |
| Automatic Liver | segmentation | Using Statistical Prior Models and Free-form Deformation |
| Automatic Liver Tumor | segmentation | on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM |
| Automatic liver tumor | segmentation | on multiphase computed tomography volume using SegNet deep neural network and K-means clustering |
| Automatic Localization and | segmentation | of the Ventricles in Magnetic Resonance Images |
| Automatic Lumbar Vertebra Landmark Localization and | segmentation | for Pedicle Screw Placement |
| Automatic lung | segmentation | based on Graph Cut using a distance-constrained energy |
| Automatic lung | segmentation | for accurate quantitation of volumetric X-ray CT images |
| Automatic Lung | segmentation | in CT Images using Watershed Transform |
| Automatic lung | segmentation | in HRCT images with diffuse parenchymal lung disease using graph-cut |
| Automatic Lung | segmentation | of Volumetric Low-Dose CT Scans Using Graph Cuts |
| Automatic Mass | segmentation | Based on Adaptive Pyramid and Sublevel Set Analysis |
| automatic measurement method for ankle key angles based on point cloud | segmentation | network, An |
| Automatic measurement of the traffic sign with digital | segmentation | and recognition |
| Automatic Meeting | segmentation | Using Dynamic Bayesian Networks |
| Automatic Method Based on Gridding | segmentation | for Trees' Classification in Forested Area, An |
| Automatic Method For Geometric | segmentation | Of Masonry Arch Bridges For Structural Engineering Purposes, An |
| Automatic method for tumor | segmentation | from 3-points dynamic PET acquisitions |
| Automatic Method for Video Character | segmentation | , An |
| Automatic method for white matter lesion | segmentation | based on T1-fluid-attenuated inversion recovery images |
| Automatic microarray image | segmentation | based on watershed transformation |
| Automatic Microarray Spot | segmentation | Using a Snake-Fisher Model |
| Automatic Model-Based | segmentation | of the Heart in CT Images |
| Automatic Motion | segmentation | for Human Motion Synthesis |
| Automatic Motion-Blurred Hand Matting for Human Soft | segmentation | in Videos |
| Automatic Moving Object | segmentation | with Accurate Boundaries |
| Automatic MRI Brain | segmentation | with Combined Atlas-Based Classification and Level-Set Approach |
| Automatic Mucous Glands | segmentation | in Histological Images |
| Automatic Multi-Atlas | segmentation | for Abdominal Images Using Template Construction and Robust Principal Component Analysis |
| Automatic Multi-organ | segmentation | in Non-enhanced CT Datasets Using Hierarchical Shape Priors |
| Automatic Multi-Organ | segmentation | on Abdominal CT With Dense V-Networks |
| Automatic Multi-seed Detection for MR Breast Image | segmentation | |
| Automatic Multi-Thresholdable Image | segmentation | by Using Separating Bipoints |
| Automatic Multilevel Thresholding for Image | segmentation | by the Growing Time Adaptive Self-Organizing Map |
| Automatic Multiorgan | segmentation | via Multiscale Registration and Graph Cut |
| Automatic Needle | segmentation | and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy |
| Automatic news video | segmentation | and categorization based on closed-captioned text |
| Automatic Nonlinear Filtering and | segmentation | for Breast Ultrasound Images |
| Automatic Object | segmentation | by Quantum Cuts |
| Automatic object | segmentation | in images with low depth of field |
| Automatic object | segmentation | of unstructured scenes using colour and depth maps |
| Automatic Object | segmentation | to Support Crisis Management Of Large-scale Events |
| Automatic object | segmentation | using mean shift and growcut |
| Automatic object | segmentation | with 3-D cameras |
| Automatic Object-of-Interest | segmentation | from natural images |
| Automatic objects | segmentation | with RGB-D cameras |
| Automatic Optic Disk and Cup | segmentation | of Fundus Images Using Deep Learning |
| Automatic optic disk detection and | segmentation | by variational active contour estimation in retinal fundus images |
| Automatic Optic Disk | segmentation | in Presence of Disk Blurring |
| Automatic optical flank wear measurement of microdrills using level set for cutting plane | segmentation | |
| Automatic ovarian follicle quantification from 3D ultrasound data using global/local context with database guided | segmentation | |
| Automatic pancreas | segmentation | based on lightweight DCNN modules and spatial prior propagation |
| Automatic Pathological Lung | segmentation | in Low-Dose CT Image Using Eigenspace Sparse Shape Composition |
| Automatic Pavement Object Detection Using Superpixel | segmentation | Combined With Conditional Random Field |
| Automatic Pectoral Muscle | segmentation | on Mediolateral Oblique View Mammograms |
| Automatic people | segmentation | with a template-driven graph cut |
| automatic performance evaluation method for document page | segmentation | , An |
| Automatic Peripheral Nerve | segmentation | in Presence of Multiple Annotators |
| Automatic Play | segmentation | of Hockey Videos |
| Automatic Point Cloud Semantic | segmentation | of Complex Railway Environments |
| Automatic Positional Accuracy Assessment of Imagery | segmentation | Processes: A Case Study |
| Automatic Procedure for Image | segmentation | , An |
| Automatic Prostate | segmentation | on MR Images Using Enhanced Holistically-Nested Networks |
| Automatic rectangular building detection from VHR aerial imagery using shadow and image | segmentation | |
| Automatic Reference Color Selection for Adaptive Mathematical Morphology and Application in Image | segmentation | |
| Automatic Region Construction by Edge Detection and Contour Following in Image | segmentation | |
| Automatic region of interest | segmentation | for breast thermogram image classification |
| Automatic Registration of Images With Inconsistent Content Through Line-Support Region | segmentation | and Geometrical Outlier Removal |
| Automatic Renal Cortex | segmentation | Using Implicit Shape Registration and Novel Multiple Surfaces Graph Search |
| Automatic Rib | segmentation | Method on X-Ray Radiographs, An |
| Automatic Road Extraction from Remote Sensing Imagery Incorporating Prior Information and Colour | segmentation | |
| Automatic Robust | segmentation | of Retinal Layers in OCT Images with Refinement Stages |
| Automatic Room | segmentation | of 3D Laser Data Using Morphological Processing |
| Automatic salient object | segmentation | based on context and shape prior |
| Automatic Scribble Simulation for Interactive Image | segmentation | Evaluation |
| Automatic seeded region growing for color image | segmentation | |
| Automatic Seeded Region Growing Image | segmentation | for Medical Image Segmentation: A Brief Review |
| Automatic Seeded Region Growing Image | segmentation | for Medical Image Segmentation: A Brief Review |
| Automatic | segmentation | and Classification of Liver Abnormalities Using Fractal Dimension |
| Automatic | segmentation | and classification of lung tumour using advance sequential minimal optimisation techniques |
| Automatic | segmentation | and Indexing in a Database of Bird Images |
| Automatic | segmentation | and Inpainting of Specular Highlights for Endoscopic Imaging |
| Automatic | segmentation | and Modelling of Two-Dimensional Electrophoresis Gels |
| Automatic | segmentation | and Quantification of White and Brown Adipose Tissues from PET/CT Scans |
| Automatic | segmentation | and Quantitative Analysis of the Articular Cartilages From Magnetic Resonance Images of the Knee |
| Automatic | segmentation | and Recognition of Human Actions in Monocular Sequences |
| Automatic | segmentation | and recognition system for handwritten dates on Canadian bank cheques |
| Automatic | segmentation | and reconstruction of historical manuscripts in gradient domain |
| Automatic | segmentation | and Registration of Lung Surfaces in Temporal Chest CT Scans |
| Automatic | segmentation | and skeletonization of neurons from confocal microscopy images based on the 3-d wavelet transform |
| Automatic | segmentation | Approach of Epithelial Cells Nuclei, An |
| Automatic | segmentation | Based on AdaBoost Learning and Graph-Cuts |
| Automatic | segmentation | Based on Deep Learning Techniques for Diabetic Foot Monitoring Through Multimodal Images |
| Automatic | segmentation | Combining Mixture Analysis and Adaptive Region Information: A Level Set Approach, An |
| Automatic | segmentation | for Arabic characters in handwriting documents |
| Automatic | segmentation | for pulmonary nodules in CT images based on multifractal analysis |
| Automatic | segmentation | fusing color and depth |
| Automatic | segmentation | of Abdominal Adipose Tissue in MRI |
| Automatic | segmentation | of Abdominal Fat from CT Data |
| Automatic | segmentation | of Abdominal Fat in MRI-Scans, Using Graph-Cuts and Image Derived Energies |
| Automatic | segmentation | of Abdominal MRI Using Selective Sampling and Random Walker |
| Automatic | segmentation | of Acoustic Musical Signals Using Hidden Markov Models |
| Automatic | segmentation | of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets |
| Automatic | segmentation | of adherent biological cell boundaries and nuclei from brightfield microscopy images |
| Automatic | segmentation | of Adipose Tissue from Thigh Magnetic Resonance Images |
| Automatic | segmentation | of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing |
| Automatic | segmentation | of Background Defocused Nature Image |
| Automatic | segmentation | of Bilingual Corpora: A Comparison of Different Techniques |
| Automatic | segmentation | of Bone Tissue from Computed Tomography Using a Volumetric Local Binary Patterns Based Method |
| Automatic | segmentation | of Bones in X-ray Images Based on Entropy Measure |
| Automatic | segmentation | of boundaries in line segments and circular arcs |
| Automatic | segmentation | of brain MRI through learning by example |
| Automatic | segmentation | of Brain Tumor Image Based on Region Growing with Co-constraint |
| Automatic | segmentation | of Breast MR Images Through a Markov Random Field Statistical Model |
| Automatic | segmentation | of Building Facades Using Terrestrial Laser Data |
| Automatic | segmentation | of Bulk Material Heaps Using Color, Texture, and Topography from Aerial Data and Deep Learning-Based Computer Vision |
| Automatic | segmentation | of carcinoma in radiographs |
| Automatic | segmentation | of Cardiac CTs - Personalized Atrial Models Augmented with Electrophysiological Structures |
| Automatic | segmentation | of cardiosynchronous waveforms using cepstral analysis and continuous wavelet transforms |
| Automatic | segmentation | of cells from microscopic imagery using ellipse detection |
| Automatic | segmentation | of cerebral hemispheres in MR human head scans |
| Automatic | segmentation | of Color Images by Using a Combination of Mixture Modelling and Adaptive Region Information: A Level Set Approach, An |
| Automatic | segmentation | of common carotid artery in transverse mode ultrasound images |
| Automatic | segmentation | of crop leaf spot disease images by integrating local threshold and seeded region growing |
| Automatic | segmentation | of cross-sectional coronary arterial images |
| Automatic | segmentation | of dermoscopy images using self-generating neural networks seeded by genetic algorithm |
| Automatic | segmentation | of Diatom Images |
| Automatic | segmentation | of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation |
| Automatic | segmentation | of Digital Orthopantomograms for Forensic Human Identification |
| Automatic | segmentation | of echocardiographic sequences by active appearance motion models |
| Automatic | segmentation | of Electron Micrographs of Berea Sandstone Cross-Sections |
| Automatic | segmentation | of Extraocular Muscles Using Superpixel and Normalized Cuts |
| Automatic | segmentation | of Femur Bones in Anterior-Posterior Pelvis X-Ray Images |
| Automatic | segmentation | of Fibroglandular Tissue |
| Automatic | segmentation | of focused objects from images with low depth of field |
| Automatic | segmentation | of granular objects in images: Combining local density clustering and gradient-barrier watershed |
| Automatic | segmentation | of hand-wrist radiographs |
| Automatic | segmentation | of HEp-2 cell Fluorescence microscope images using level set method via geometric active contours |
| Automatic | segmentation | of High-resolution Satellite Imagery by Integrating Texture, Intensity, and Color Features |
| Automatic | segmentation | of hippocampus from brain MRI using deformable contours |
| Automatic | segmentation | of Internal Structures of the Brain in MR Images Using a Tandem of Affine and Non Rigid Registration of an Anatomical Brain Atlas |
| Automatic | segmentation | of Iris Images for the Purpose of Identification |
| Automatic | segmentation | of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module |
| Automatic | segmentation | of left and right ventricles in cardiac MRI using 3D-ASM and deep learning |
| Automatic | segmentation | of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance Imaging |
| Automatic | segmentation | of liver region through blood vessels on multi-phase ct |
| Automatic | segmentation | of Lumen Intima Layer in Transverse Mode Ultrasound Images |
| Automatic | segmentation | of Lung Fields from Radiographic Images of SARS Patients Using a New Graph Cuts Algorithm |
| Automatic | segmentation | of Lung Regions in Chest Radiographs: A Model Guided Approach |
| Automatic | segmentation | of masses in digital mammograms using particle swarm optimization and graph clustering |
| Automatic | segmentation | of Mechanically Inhomogeneous Tissues Based on Deformation Gradient Jump |
| Automatic | segmentation | of metaphase cells based on global context and variant analysis |
| Automatic | segmentation | of microaneurysms in retinal angiograms of diabetic patients |
| Automatic | segmentation | of Mitochondria in EM Data Using Pairwise Affinity Factorization and Graph-Based Contour Searching |
| Automatic | segmentation | of Molecular Pathology Images Using a Robust Mixture Model with Markov Random Fields |
| Automatic | segmentation | of moving objects in video sequences: A region labeling approach |
| Automatic | segmentation | of Moving-Objects for Video Object Plane Generation |
| Automatic | segmentation | of MR Brain Images Using Spatial-Varying Gaussian Mixture and Markov Random Field Approach |
| Automatic | segmentation | of MR Brain Images With a Convolutional Neural Network |
| Automatic | segmentation | of MR depicted carotid arterial boundary based on local priors and constrained global optimisation |
| Automatic | segmentation | of MR images based on adaptive anisotropic filtering |
| Automatic | segmentation | of Muscles of Mastication from Magnetic Resonance Images Using Prior Knowledge |
| Automatic | segmentation | of Natural Scene Images Based on Chromatic and Achromatic Components |
| Automatic | segmentation | of newborns' skull and fontanel from CT data using model-based variational level set |
| Automatic | segmentation | of Non-rigid Objects in Image Sequences Using Spatiotemporal Information |
| Automatic | segmentation | of nuclei from pap smear cell images: A step toward cervical cancer screening |
| Automatic | segmentation | of Optic Disc in Eye Fundus Images: A Survey |
| Automatic | segmentation | of Overlapping Fish Using Shape Priors |
| Automatic | segmentation | of overlapping nuclei with high background variation using robust estimation and flexible contour models |
| Automatic | segmentation | of pathological lung using incremental nonnegative matrix factorization |
| Automatic | segmentation | of point clouds from multi-view reconstruction using graph-cut |
| Automatic | segmentation | of Point Clouds in the Architecture Environment |
| Automatic | segmentation | of Printed Persian (Farsi) Text |
| Automatic | segmentation | of Pulmonary Lobes Robust Against Incomplete Fissures |
| Automatic | segmentation | of Pulmonary Segments From Volumetric Chest CT Scans |
| Automatic | segmentation | of Raw LIDAR Data for Extraction of Building Roofs |
| Automatic | segmentation | of Regions of Interest in Breast Thermographic Images |
| Automatic | segmentation | of Retinal Layer in OCT Images With Choroidal Neovascularization |
| Automatic | segmentation | of Rotational X-Ray Images for Anatomic Intra-Procedural Surface Generation in Atrial Fibrillation Ablation Procedures |
| Automatic | segmentation | of Scaling in 2-D Psoriasis Skin Images |
| Automatic | segmentation | of Scanned Human Body Using Curve Skeleton Analysis |
| Automatic | segmentation | of Shoulder Joint in MRI Using Patch-Based and Fully Convolutional Networks |
| Automatic | segmentation | of Skin Lesion Images using Evolutionary Strategy |
| Automatic | segmentation | of Spinal Canals in CT Images via Iterative Topology Refinement |
| Automatic | segmentation | of subcortical brain structures in MR images using information fusion |
| Automatic | segmentation | of the Apparent Contour for 3D Modeling of Cutting Tools from Single View |
| Automatic | segmentation | of the Caudate Nucleus From Human Brain MR Images |
| Automatic | segmentation | of the IAM off-line database for handwritten English text |
| Automatic | segmentation | of the Knee Bones using 3D Active Shape Models |
| Automatic | segmentation | of the Left Atrium From MR Images via Variational Region Growing With a Moments-Based Shape Prior |
| Automatic | segmentation | of the Left Ventricle in Cardiac MR and CT Images |
| Automatic | segmentation | of the Liver in CT Using Level Sets Without Edges |
| Automatic | segmentation | of the Papilla in a Fundus Image Based on the C-V Model and a Shape Restraint |
| Automatic | segmentation | of the Prostate from Ultrasound Data Using Feature-Based Self Organizing Map |
| Automatic | segmentation | of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models |
| Automatic | segmentation | of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi |
| Automatic | segmentation | of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling |
| Automatic | segmentation | of TV News into Stories Using Visual and Temporal Information |
| Automatic | segmentation | of Unknown Objects, with Application to Baggage Security |
| Automatic | segmentation | of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach |
| Automatic | segmentation | of Vertebrae in Ultrasound Images |
| Automatic | segmentation | of Veterinary Infrared Images with the Active Shape Approach |
| Automatic | segmentation | of VHR images using type information of local structures acquired by mathematical morphology |
| Automatic | segmentation | of video to aid the study of faucet usability for older adults |
| Automatic | segmentation | of Wood Logs by Combining Detection and Segmentation |
| Automatic | segmentation | of Wood Logs by Combining Detection and Segmentation |
| Automatic | segmentation | of Wrist Bones in CT Using a Statistical Wrist Shape+Pose Model |
| Automatic | segmentation | of Zona pellucida in HMC images of human embryos |
| Automatic | segmentation | system for liver tumors based on the multilevel thresholding and electromagnetism optimization algorithm |
| Automatic | segmentation | technique for acetabulum and femoral head in CT images |
| Automatic Seismic Signal Detection via Record | segmentation | |
| Automatic Selection and Detection of Visual Landmarks Using Multiple | segmentation | s |
| Automatic Selection of Parameters for Vessel/Neurite | segmentation | Algorithms |
| Automatic semantic | segmentation | for dental restorations in panoramic radiography images using U-Net model |
| Automatic Semantic | segmentation | of Benthic Habitats Using Images from Towed Underwater Camera in a Complex Shallow Water Environment |
| Automatic Semantic | segmentation | of Structural Elements related to the Spinal Cord in the Lumbar Region by using Convolutional Neural Networks |
| Automatic Shape Constraint Selection Based Object | segmentation | |
| Automatic sign | segmentation | from continuous signing via multiple sequence alignment |
| Automatic Single View Building Reconstruction by Integrating | segmentation | |
| Automatic Single-Image People | segmentation | and Removal for Cultural Heritage Imaging |
| Automatic Skin Lesion | segmentation | Based on Texture Analysis and Supervised Learning |
| Automatic Skin Lesion | segmentation | Using Deep Fully Convolutional Networks With Jaccard Distance |
| Automatic skin | segmentation | and tracking in sign language recognition |
| Automatic Skin | segmentation | for Gesture Recognition Combining Region and Support Vector Machine Active Learning |
| Automatic Skull | segmentation | and Registration for Tissue Change Measurement After Mandibular Setback Surgery |
| Automatic spatio-temporal video sequence | segmentation | |
| Automatic Subcortical Structure | segmentation | Using Probabilistic Atlas |
| Automatic subcortical tissue | segmentation | of MR images using optimum-path forest clustering |
| Automatic SWI Venography | segmentation | Using Conditional Random Fields |
| Automatic Target | segmentation | by Locally Adaptive Image Thresholding |
| Automatic target | segmentation | using PMMW imagery |
| Automatic Tear Film | segmentation | Based on Texture Analysis and Region Growing |
| Automatic teeth | segmentation | on panoramic X-rays using deep neural networks |
| Automatic text area | segmentation | in natural images |
| Automatic text | segmentation | from complex background |
| Automatic texture | segmentation | based on k-means clustering and efficient calculation of co-occurrence features |
| Automatic Tractography | segmentation | Using a High-Dimensional White Matter Atlas |
| Automatic Training of Page | segmentation | Algorithms: An Optimization Approach |
| Automatic Tumor | segmentation | Using Knowledge-Based Techniques |
| Automatic Tuning of MST | segmentation | of Mammograms for Registration and Mass Detection Algorithms |
| Automatic Tuning of the Pulse-Coupled Neural Network Using Differential Evolution for Image | segmentation | |
| Automatic Ultrastructure | segmentation | of Reconstructed CryoEM Maps of Icosahedral Viruses |
| Automatic Unsupervised Texture | segmentation | Using Hidden Markov Model |
| Automatic vergence control based on hierarchical | segmentation | of stereo pairs |
| Automatic Video Object | segmentation | Based on Visual and Motion Saliency |
| Automatic Video Object | segmentation | using Graph Cut |
| Automatic video object | segmentation | via 3D structure tensor |
| Automatic video | segmentation | through editing analysis |
| Automatic video | segmentation | using genetic algorithms |
| Automatic video | segmentation | using hidden markov model |
| Automatic video | segmentation | using spatiotemporal T-junctions |
| Automatic visual speech | segmentation | and recognition using directional motion history images and Zernike moments |
| Automatic Watershed | segmentation | of Randomly Textured Color Images |
| Automatic Whole Brain MRI | segmentation | of the Developing Neonatal Brain |
| Automatic Whole-Heart | segmentation | in Congenital Heart Disease Using Deeply-Supervised 3D FCN |
| Automatically Computed Markers for the 3D Watershed | segmentation | |
| Automating shockwave | segmentation | in low-contrast coherent shadowgraphy |
| Autonomous Visual Events Detection and Classification without Explicit Object-Centred | segmentation | and Tracking |
| Autoregressive Unsupervised Image | segmentation | |
| AutoRooms: Automatic Room | segmentation | Based on Wall Constraints from Point Clouds |
| AutoSegEdge: Searching for the edge device real-time semantic | segmentation | based on multi-task learning |
| autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion | segmentation | |
| AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic | segmentation | |
| AV-casNet: Fully Automatic Arteriole-Venule | segmentation | and Differentiation in OCT Angiography |
| Average Activation Network for Weakly Supervised Semantic | segmentation | |
| AVILNet: A New Pliable Network with a Novel Metric for Small-Object | segmentation | and Detection in Infrared Images |
| AVLSM: Adaptive Variational Level Set Model for Image | segmentation | in the Presence of Severe Intensity Inhomogeneity and High Noise |
| Avoiding Mesh Folding in 3D Optimal Surface | segmentation | |
| AW-Net: A Novel Fully Connected Attention-based Medical Image | segmentation | Model |
| Axial-Deeplab: Stand-alone Axial-Attention for Panoptic | segmentation | |
| B-mode Ultrasound Breast Anatomy | segmentation | |
| B-Spline Active Contour with Handling of Topology Changes for Fast Video | segmentation | |
| B-spline Active Contours for Fast Video | segmentation | |
| B-Spline based globally optimal | segmentation | combining low-level and high-level information |
| B-Spline Explicit Active Surfaces: An Efficient Framework for Real-Time 3-D Region-Based | segmentation | |
| B-Spline Level Set For Drosophila Image | segmentation | |
| BACA: Superpixel | segmentation | with Boundary Awareness and Content Adaptation |
| Background Activation Suppression for Weakly Supervised Object Localization and Semantic | segmentation | |
| Background Clustering Pre-Training for Few-Shot | segmentation | |
| Background Context Augmented Hypothesis Graph for Object | segmentation | |
| Background differencing technique for image | segmentation | based on the status of reference pixels |
| Background estimation and | segmentation | based on range and color |
| Background Fluorescence Estimation and Vesicle | segmentation | in Live Cell Imaging With Conditional Random Fields |
| Background Foreground | segmentation | for SLAM |
| Background foreground | segmentation | with RGB-D Kinect data: An efficient combination of classifiers |
| Background identification based | segmentation | and multilayer tree representation of document images |
| Background Independent Moving Object | segmentation | Using Edge Similarity Measure |
| Background initialization and foreground | segmentation | for bootstrapping video sequences |
| Background Masked Guided Network for Skin Lesion | segmentation | in Dermoscopy Image |
| Background Modeling for | segmentation | of Video-rate Stereo Sequences |
| Background Modelling on Tensor Field for Foreground | segmentation | |
| Background prior and boundary weight-based pedestrian | segmentation | in infrared images |
| Background recovering in outdoor image sequences: An example of soccer players | segmentation | |
| Background Region-Based Algorithm for the | segmentation | of Connected Digits |
| Background | segmentation | Beyond RGB |
| Background | segmentation | for Vehicle Re-identification |
| Background | segmentation | of dynamic scenes based on dual model |
| Background | segmentation | Using Spatial-Temporal Multi-Resolution MRF |
| Background | segmentation | with feedback: The Pixel-Based Adaptive Segmenter |
| Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic | segmentation | |
| Background-foreground tracking for video object | segmentation | |
| Background-Insensitive Scene Text Recognition with Text Semantic | segmentation | |
| Background-Tolerant Object Classification With Embedded | segmentation | Mask For Infrared and Color Imagery |
| Backward Attentive Fusing Network With Local Aggregation Classifier for 3D Point Cloud Semantic | segmentation | |
| Backward | segmentation | and Region Fitting for Geometrical Visibility Range Estimation |
| Bact-3D: A level set | segmentation | approach for dense multi-layered 3D bacterial biofilms |
| BAE-NET: Branched Autoencoder for Shape Co- | segmentation | |
| BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic | segmentation | |
| Bag of textons for image | segmentation | via soft clustering and convex shift |
| bag of words approach for semantic | segmentation | of monitored scenes, A |
| Bag-of-Features HMMs for | segmentation | -Free Word Spotting in Handwritten Documents |
| Bagging Stochastic Watershed on Natural Color Image | segmentation | |
| Balance-batch: An Optimized Method for Semantic | segmentation | Loss Functions |
| Balanced Affinity Loss for Highly Imbalanced Baggage Threat Contour-Driven Instance | segmentation | |
| balanced random learning strategy for CNN based Landsat image | segmentation | under imbalanced and noisy labels, A |
| Balancing Logit Variation for Long-Tailed Semantic | segmentation | |
| BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic | segmentation | |
| BANet: Boundary-Assistant Encoder-Decoder Network for Semantic | segmentation | |
| BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic | segmentation | |
| Base and Meta: A New Perspective on Few-Shot | segmentation | |
| Baseline Dependent Approach for Persian Handwritten Character | segmentation | , A |
| baseline for semi-supervised learning of efficient semantic | segmentation | models, A |
| Baseline Statistical Method for Robust User-Assisted Multiple | segmentation | , A |
| Basin Morphology Approach to Colour Image | segmentation | by Region Merging, A |
| BASS: Boundary-Aware Superpixel | segmentation | |
| BASSL: Boundary-aware Self-supervised Learning for Video Scene | segmentation | |
| BAT algorithm inspired retinal blood vessel | segmentation | |
| Batching Soft IoU for Training Semantic | segmentation | Networks |
| BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object | segmentation | |
| bavesian formulation for 3d articulated upper body | segmentation | and tracking from dense disparity maps, A |
| Bayes Smoothing Algorithms for | segmentation | of Binary Images Modeled by Markov Random Fields |
| Bayesian Adaptive Superpixel | segmentation | |
| Bayesian Analysis of Cell Nucleus | segmentation | by a Viterbi Search Based Active Contour |
| Bayesian Approach for Image | segmentation | with Shape Priors, A |
| Bayesian Approach for | segmentation | in Stereo Image Sequences, A |
| Bayesian Approach for the | segmentation | of SAR Images Using Dynamically Selected Neighborhoods, A |
| Bayesian Approach to Video Object | segmentation | via Merging 3-D Watershed Volumes, A |
| Bayesian Block-Wise | segmentation | of Interframe Differences in Video Sequences |
| Bayesian Chan-Vese | segmentation | for iris segmentation |
| Bayesian Chan-Vese | segmentation | for iris segmentation |
| Bayesian Decision-Feedback for | segmentation | of Binary Images |
| Bayesian Differentiation of Multi-scale Line-Structures for Model-Free Instrument | segmentation | in Thoracoscopic Images |
| Bayesian Edge Regularization in Range Image | segmentation | |
| Bayesian Estimation Based Mumford-Shah Regularization for Blur Identification and | segmentation | in Video Sequences |
| Bayesian Example Based | segmentation | using a Hybrid Energy Model |
| Bayesian Feature Pyramid Networks for Automatic Multi-label | segmentation | of Chest X-rays and Assessment of Cardio-thoratic Ratio |
| Bayesian foreground | segmentation | and tracking using pixel-wise background model and region based foreground model |
| Bayesian Framework for Constructing Probability-Distributions on the Space of Image | segmentation | s, A |
| Bayesian Framework for Image | segmentation | With Spatially Varying Mixtures, A |
| Bayesian Fusion of Color and Texture | segmentation | s |
| Bayesian human | segmentation | in crowded situations |
| Bayesian Hyperspectral Image | segmentation | With Discriminative Class Learning |
| Bayesian Image Restoration and | segmentation | by Constrained Optimization |
| Bayesian image | segmentation | based on an inhomogeneous hidden markov random field |
| Bayesian Image | segmentation | Using Gaussian Field Priors |
| Bayesian image | segmentation | using local iso-intensity structural orientation |
| Bayesian Image | segmentation | Using MRF's Combined with Hierarchical Prior Models |
| Bayesian Image | segmentation | Using Wavelet-Based Priors |
| Bayesian image | segmentation | with mean shift |
| Bayesian inference for multiband image | segmentation | via model-based cluster trees |
| Bayesian Information Flow Approach to Image | segmentation | , A |
| Bayesian learning, global competition and unsupervised image | segmentation | |
| Bayesian Level Sets for Image | segmentation | |
| Bayesian Method for Motion | segmentation | and Tracking in Compressed Videos |
| Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion | segmentation | |
| Bayesian Multiple-Hypothesis Approach to Edge Grouping and Contour | segmentation | , A |
| Bayesian Network for Foreground | segmentation | in Region Level, A |
| Bayesian Network Model for Automatic and Interactive Image | segmentation | , A |
| Bayesian Non-parametric Image | segmentation | with Markov Random Field Prior |
| Bayesian Oil Spill | segmentation | of SAR Images Via Graph Cuts |
| Bayesian Order-Adaptive Clustering for Video | segmentation | |
| Bayesian Polytrees With Learned Deep Features for Multi-Class Cell | segmentation | |
| Bayesian Predictive Method for Automatic Speech | segmentation | , A |
| Bayesian Range | segmentation | Using Focus Cues |
| Bayesian | segmentation | Framework for Textured Visual Images, A |
| Bayesian | segmentation | Methodology for Parametric Image-Models, A |
| Bayesian | segmentation | of Stereopairs, A |
| Bayesian | segmentation | supported by neighborhood configurations |
| Bayesian | segmentation | via Asymptotic Partition Functions |
| Bayesian Semantic Instance | segmentation | in Open Set World |
| Bayesian Shape Models with Shape Priors for MRI Brain | segmentation | |
| Bayesian Subsequence Matching and | segmentation | |
| Bayesian U-Net: Estimating Uncertainty in Semantic | segmentation | of Earth Observation Images |
| Bayesian Video Modeling Framework for Shot | segmentation | and Content Characterization, A |
| Bayesian/Monte Carlo | segmentation | Method for Images Dominated by Gaussian Noise, A |
| BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance | segmentation | |
| BCAU-Net: A Novel Architecture with Binary Channel Attention Module for MRI Brain | segmentation | |
| BCUIS-Net: A breast cancer ultrasound image | segmentation | network via boundary-aware and shape feature fusion |
| BDU-net: Toward accurate | segmentation | of dental image using border guidance and feature map distortion |
| Beard and mustache | segmentation | using sparse classifiers on self-quotient images |
| Belief Propagation algorithm for bias field estimation and image | segmentation | , A |
| BEM-RCNN | segmentation | Based on the Inadequately Labeled Moving Mesenchymal Stem Cells |
| BEMF-Net: Semantic | segmentation | of Large-Scale Point Clouds via Bilateral Neighbor Enhancement and Multi-Scale Fusion |
| Benchmark Dataset and Evaluation Methodology for Video Object | segmentation | , A |
| benchmark for interactive image | segmentation | algorithms, A |
| Benchmark for Large-scale Heritage Point Cloud Semantic | segmentation | , A |
| Benchmark for Studying Diabetic Retinopathy: | segmentation | , Grading, and Transferability, A |
| Benchmark for the Comparison of 3-D Motion | segmentation | Algorithms, A |
| Benchmark Kannada Handwritten Document Dataset and Its | segmentation | , A |
| Benchmark on Automatic Six-Month-Old Infant Brain | segmentation | Algorithms: The iSeg-2017 Challenge |
| Benchmarking Image | segmentation | Algorithms |
| Benchmarking of Deep Architectures for | segmentation | of Medical Images |
| Benchmarking of wildland fire colour | segmentation | algorithms |
| Benchmarking Page | segmentation | Algorithms |
| Benchmarking the Robustness of Semantic | segmentation | Models |
| Benchmarking the Robustness of Semantic | segmentation | Models with Respect to Common Corruptions |
| Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic | segmentation | |
| Benefits of Evaluating Tracker Performance Using Pixel-Wise | segmentation | s, The |
| Berkeley | segmentation | Dataset and Benchmark, The |
| BES-Net: Boundary Enhancing Semantic Context Network for High-Resolution Image Semantic | segmentation | |
| Best Merge Region-Growing | segmentation | With Integrated Nonadjacent Region Object Aggregation |
| Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion | segmentation | , The |
| Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance | segmentation | |
| Betrayed by Motion: Camouflaged Object Discovery via Motion | segmentation | |
| Better Foreground | segmentation | for 3D Face Reconstruction Using Graph Cuts |
| Better Foreground | segmentation | for Static Cameras via New Energy Form and Dynamic Graph-cut |
| BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic | segmentation | |
| BEVSegFormer: Bird's Eye View Semantic | segmentation | From Arbitrary Camera Rigs |
| Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image | segmentation | |
| Beyond connecting the dots: A polynomial-time algorithm for | segmentation | and boundary estimation with imprecise user input |
| Beyond Crack: Fine-Grained Pavement Defect | segmentation | Using Three-Stream Neural Networks |
| Beyond Gradient Descent for Regularized | segmentation | Losses |
| Beyond mAP: Towards Better Evaluation of Instance | segmentation | |
| Beyond One-to-One: Rethinking the Referring Image | segmentation | |
| Beyond pixels: A comprehensive survey from bottom-up to semantic image | segmentation | and cosegmentation |
| Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image | segmentation | |
| Beyond Semantic to Instance | segmentation | : Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement |
| Beyond Semantic to Instance | segmentation | : Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement |
| BFANet: Effective | segmentation | network for low altitude high-resolution urban scene image |
| BG-Net: Boundary-Guided Network for Lung | segmentation | on Clinical CT Images |
| BGNet: Boundary-guided network for polyp | segmentation | |
| Bhattacharyya distance-based irregular pyramid method for image | segmentation | |
| Bhattacharyya probabilistic distance of the Dirichlet density and its application to Split-and-Merge image | segmentation | |
| Bhattacharyya space for feature selection and its application to texture | segmentation | , The |
| Bi-Directional Attention for Joint Instance and Semantic | segmentation | in Point Clouds |
| Bi-directional Contrastive Learning for Domain Adaptive Semantic | segmentation | |
| Bi-directional Cross-modality Feature Propagation with Separation-and-aggregation Gate for RGB-D Semantic | segmentation | |
| Bi-Directional Dermoscopic Feature Learning and Multi-Scale Consistent Decision Fusion for Skin Lesion | segmentation | |
| Bi-directional gradient labeling and registration for gray-scale image | segmentation | |
| Bi-Directional Relationship Inferring Network for Referring Image | segmentation | |
| Bi-Directional Seed Attention Network for Interactive Image | segmentation | |
| Bi-Elliptical Deformable Contour and Its Application to Automated Tongue | segmentation | in Chinese Medicine, The |
| Bi-Graph Reasoning for Masticatory Muscle | segmentation | From Cone-Beam Computed Tomography |
| Bi-Layer | segmentation | of Binocular Stereo Video |
| bi-orthogonal decomposition in image processing: Signal analysis and texture | segmentation | , The |
| Bi-Polar Mask for Joint Cell and Nuclei Instance | segmentation | |
| bias correction variational level set image | segmentation | model combining structure extraction, A |
| Bias Field Estimation and Adaptive | segmentation | of MRI Data Using a Modified Fuzzy C-Means Algorithm |
| Bias field estimation and | segmentation | of MR image using modified fuzzy-C means algorithms |
| Bias-Correction Feature Learner for Semi-Supervised Instance | segmentation | |
| Biased Class disagreement: detection of out of distribution instances by using differently biased semantic | segmentation | models |
| BiAttnNet: Bilateral Attention for Improving Real-Time Semantic | segmentation | |
| BiCoS: A Bi-level co- | segmentation | method for image classification |
| Bidirectional Copy-Paste for Semi-Supervised Medical Image | segmentation | |
| Bidirectional Gated Recurrent Unit Neural Network for Chinese Address Element | segmentation | |
| Bidirectional Graph Reasoning Network for Panoptic | segmentation | |
| Bidirectional Labeling and Registration Scheme for Grayscale Image | segmentation | |
| Bidirectional Learning for Domain Adaptation of Semantic | segmentation | |
| Bidirectional Pyramid Networks for Semantic | segmentation | |
| BiFDANet: Unsupervised Bidirectional Domain Adaptation for Semantic | segmentation | of Remote Sensing Images |
| BiFNet: Bidirectional Fusion Network for Road | segmentation | |
| Bifurcated Autoencoder for | segmentation | of Covid-19 Infected Regions in Ct Images |
| Bilateral attention network for semantic | segmentation | |
| Bilateral filter based mixture model for image | segmentation | |
| Bilateral Knowledge Interaction Network for Referring Image | segmentation | |
| Bilateral smoothing of gradient vector field and application to image | segmentation | |
| Bilateral Space Video | segmentation | |
| Bilateral Temporal Re-Aggregation for Weakly-Supervised Video Object | segmentation | |
| Bilayer | segmentation | of Live Video |
| Bilayer | segmentation | of Webcam Videos Using Tree-Based Classifiers |
| BiLuNet: A Multi-path Network for Semantic | segmentation | on X-ray Images |
| BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene | segmentation | |
| Bimodal SegNet: Fused instance | segmentation | using events and RGB frames |
| Bimodal Texture | segmentation | with the Lee-Seo Model |
| Binary and ternary flows for image | segmentation | |
| Binary codes K-modes clustering for HSI | segmentation | |
| Binary Image | segmentation | of Aggregates Based on Polygonal Approximation |
| Binary Image | segmentation | of Aggregates Based on Polygonal-Approximation and Classification of Concavities |
| Binary Level Set Model and Some Applications to Mumford-Shah Image | segmentation | , A |
| Binary Morphology and Local Statistics Applied to Iris | segmentation | for Recognition |
| Binary partition tree as an efficient representation for filtering, | segmentation | and information retrieval |
| Binary Partition Tree as an Efficient Representation for Image Processing, | segmentation | , and Information Retrieval |
| Binary Partition Tree construction from multiple features for image | segmentation | |
| Binary Partition Tree for Semantic Object Extraction and Image | segmentation | |
| Binary | segmentation | algorithm for English cursive handwriting recognition |
| Binary | segmentation | Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks |
| Binary | segmentation | Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks |
| binary tree-structured MRF model for multispectral satellite image | segmentation | , A |
| binary- | segmentation | algorithm based on shearlet transform and eigenvectors, A |
| Bio-Cell Image | segmentation | Using Bayes Graph-Cut Model |
| Bio-inspired Boosting for Moving Objects | segmentation | |
| bio-inspired CNN with re-indexing engine for lossless DNA microarray compression and | segmentation | , A |
| Bio-inspired Motion-Based Object | segmentation | |
| Bioinspired metaheuristics for image | segmentation | |
| Biologically-inspired robust motion | segmentation | using mutual information |
| Biologically-Inspired Supervised Vasculature | segmentation | in SLO Retinal Fundus Images |
| Biomedical active | segmentation | guided by edge saliency |
| Biomedical image | segmentation | |
| Biomedical image | segmentation | based on full-Resolution network |
| Biomedical Image | segmentation | Based on Shape Stability |
| Biophysical Characterization of Protected Areas Globally through Optimized Image | segmentation | and Classification |
| Birds of a Feather Flock Together: Category-Divergence Guidance for Domain Adaptive | segmentation | |
| BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic | segmentation | |
| BiSeNet: Bilateral | segmentation | Network for Real-Time Semantic Segmentation |
| BiSeNet: Bilateral | segmentation | Network for Real-Time Semantic Segmentation |
| Bispace Domain Adaptation Network for Remotely Sensed Semantic | segmentation | |
| Blackboard | segmentation | Using Video Image of Lecture and Its Applications |
| BLAST-NET: Semantic | segmentation | of Human Blastocyst Components via Cascaded Atrous Pyramid and Dense Progressive Upsampling |
| Blazingly Fast Video Object | segmentation | with Pixel-Wise Metric Learning |
| BlendMask: Top-Down Meets Bottom-Up for Instance | segmentation | |
| Blind Image Deblurring via Superpixel | segmentation | Prior |
| Blind Texture | segmentation | |
| Blind tone mapped image quality assessment with image | segmentation | and visual perception |
| Blob | segmentation | Using Joint Space-Intensity Likelihood Ratio Test: Application to 3D Tumor Segmentation |
| Blob | segmentation | Using Joint Space-Intensity Likelihood Ratio Test: Application to 3D Tumor Segmentation |
| Blobworld: Image | segmentation | Using Expectation-Maximization and Its Application to Image Querying |
| Bloch quantum artificial bee colony algorithm and its application in image threshold | segmentation | |
| Block cosparsity overcomplete learning transform image | segmentation | algorithm based on burr model |
| Block decomposition and | segmentation | for fast Hough transform evaluation |
| Block iterative methods for Bayesian | segmentation | of positron emission tomography images |
| Block Level Skip Connections Across Cascaded V-Net for Multi-Organ | segmentation | |
| Block | segmentation | and Text Extraction in Mixed Text/Image Documents |
| Block Shuffle Network with Superpixel Optimization for Landsat Image Semantic | segmentation | , A |
| Block-Based MAP | segmentation | for Image Compressions, A |
| Block-based motion field | segmentation | for video coding |
| Block-based | segmentation | and Adaptive Coding for Visually Lossless Compression of Scanned Documents |
| Block-Run Run-Length Coding of Handwriting and Bilevel Graphics-Based on Quadtree | segmentation | |
| Blood Cell | segmentation | Using Minimum Area Watershed and Circle Radon Transformations |
| Blood microscopic image | segmentation | using rough sets |
| Blood Stain | segmentation | |
| Blood Vessel | segmentation | from Color Retinal Images using Unsupervised Texture Classification |
| Blood vessel | segmentation | from fundus image by a cascade classification framework |
| Blood Vessel | segmentation | from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based Network |
| Blood vessel | segmentation | using moving-window robust automatic threshold selection |
| Blood vessel | segmentation | using multi-scale quadrature filtering |
| Blood Vessel | segmentation | via Topology Interaction and Contrast |
| Blood Vessels | segmentation | Method for Retinal Fundus Images Based On Adaptive Principal Curvature and Image Derivative Operators |
| Blotch Detection in Pigmented Skin Lesions Using Fuzzy Co-clustering and Texture | segmentation | |
| BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic | segmentation | |
| Blur Identification and Image Restoration Based on Evolutionary Multiple Object | segmentation | for Digital Auto-focusing |
| Blur Map Generation Based on Local Natural Image Statistics for Partial Blur | segmentation | |
| Blurred image region detection and | segmentation | |
| Blurring Strategies for Image | segmentation | Using a Multiscale Linking Model |
| BNDCNet: Bilateral nonlocal decoupled convergence network for semantic | segmentation | |
| Body Composition Assessment in Axial CT Images Using FEM-Based Automatic | segmentation | of Skeletal Muscle |
| Body Parts | segmentation | with Attached Props Using RGB-D Imaging |
| Bond Percolation Based Gibbs-Markov Random Fields for Image | segmentation | |
| Bond Percolation Based Model for Image | segmentation | , A |
| Bone age cluster assessment and feature clustering analysis based on phalangeal image rough | segmentation | |
| bone marrow cavity | segmentation | method using wavelet-based texture feature, A |
| Bone | segmentation | and 3D visualization of CT images for traumatic pelvic injuries |
| Bone | segmentation | of Magnetic Resonance Images by Gradient Vector Flow Active Contour with Atlas Based Centroid Forces |
| Bone tumor | segmentation | from MR perfusion images with neural networks using multi-scale pharmacokinetic features |
| boosting approach for the simultaneous detection and | segmentation | of generic objects, A |
| Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image | segmentation | from Fundus Images |
| Boosting image | segmentation | |
| Boosting Instance | segmentation | with Synthetic Data: A study to overcome the limits of real world data sets |
| Boosting Low-Data Instance | segmentation | by Unsupervised Pre-training with Saliency Prompt |
| Boosting Monocular Depth with Panoptic | segmentation | Maps |
| Boosting | segmentation | results by contour relaxation |
| Boosting Semantic | segmentation | from the Perspective of Explicit Class Embeddings |
| Boosting Semantic | segmentation | of Remote Sensing Images by Introducing Edge Extraction Network and Spectral Indices |
| Boosting semantic | segmentation | via feature enhancement |
| Boosting Sensitivity of a Retinal Vessel | segmentation | Algorithm with Convolutional Neural Network |
| Boosting Video Object | segmentation | via Space-Time Correspondence Learning |
| Boosting-Based Approach to Refine the | segmentation | of Masses in Mammography, A |
| Bootstrap Coverage Plots for Image | segmentation | |
| Bootstrapping approach to feature-weight selection in fuzzy c-means algorithms with an application in color image | segmentation | |
| Bootstrapping the Performance of Webly Supervised Semantic | segmentation | |
| BOP Challenge 2022 on Detection, | segmentation | and Pose Estimation of Specific Rigid Objects |
| Border-SegGCN: Improving Semantic | segmentation | by Refining the Border Outline using Graph Convolutional Network |
| Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic | segmentation | |
| Bottom up Algebraic Approach to Motion | segmentation | , A |
| Bottom-Up Approach for Pancreas | segmentation | Using Cascaded Superpixels and (Deep) Image Patch Labeling, A |
| Bottom-Up Hierarchical Image | segmentation | Using Region Competition and the Mumford-Shah Functional |
| Bottom-up Instance | segmentation | using Deep Higher-Order CRFs |
| Bottom-Up Merging | segmentation | for Color Images With Complex Areas |
| Bottom-up | segmentation | for ghost-free reconstruction of a dynamic scene from multi-exposure images |
| Bottom-Up | segmentation | for Top-Down Detection |
| Bottom-Up Shift and Reasoning for Referring Image | segmentation | |
| Bottom-Up Top-Down Cues for Weakly-Supervised Semantic | segmentation | |
| Bottom-Up Unsupervised Image | segmentation | Using FC-Dense U-Net Based Deep Representation Clustering and Multidimensional Feature Fusion Based Region Merging |
| Boundary aware image | segmentation | with unsupervised mixture models |
| Boundary Coding Representation for Organ | segmentation | in Prostate Cancer Radiotherapy |
| Boundary Corrected Multi-Scale Fusion Network for Real-Time Semantic | segmentation | |
| Boundary correction for total variation regularized L^1 function with applications to image decomposition and | segmentation | |
| Boundary Detection for Semantic | segmentation | , Border Analysis |
| Boundary Error Analysis and Categorization in the TRECVID News Story | segmentation | Task |
| Boundary IoU: Improving Object-Centric Image | segmentation | Evaluation |
| Boundary Localization in Texture | segmentation | |
| Boundary Refinement Network for Colorectal Polyp | segmentation | in Colonoscopy Images |
| Boundary refinements for wavelet-domain multiscale texture | segmentation | |
| Boundary Regulated Network for Accurate Roof | segmentation | and Outline Extraction, A |
| Boundary-Active-Only Adaptive Power-Reduction Scheme for Region-Growing Video- | segmentation | |
| Boundary-Area Enhanced Module for Instance | segmentation | |
| Boundary-aware Cascade Networks for Temporal Action | segmentation | |
| Boundary-aware Distillation Network for Compressed Video Semantic | segmentation | , A |
| Boundary-Aware Feature Propagation for Scene | segmentation | |
| Boundary-aware Graph Convolution for Semantic | segmentation | |
| Boundary-Aware Instance | segmentation | |
| Boundary-Aware Superpixel | segmentation | Based on Minimum Spanning Tree |
| Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image | segmentation | With Multi-Agent Reinforcement Learning |
| Boundary-constrained multi-scale | segmentation | method for remote sensing images |
| Boundary-enhanced Co-training for Weakly Supervised Semantic | segmentation | |
| Boundary-Guided Lightweight Semantic | segmentation | With Multi-Scale Semantic Context |
| boundary-preserving conditional convolution network for instance | segmentation | , A |
| Boundary-trimmed 3D triangular mesh | segmentation | based on iterative merging strategy |
| Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image | segmentation | |
| Boundarymix: Generating pseudo-training images for improving | segmentation | with scribble annotations |
| Bounded irregular pyramid: a new structure for color image | segmentation | |
| Bounded Labeling Function for Global | segmentation | of Multi-part Objects with Geometric Constraints |
| Bounding Boxes, | segmentation | s and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? |
| Bounding-Box Based | segmentation | with Single Min-cut Using Distant Pixel Similarity |
| BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel | segmentation | From Both Partially and Fully Labeled CT Images |
| Box-Counting Approach to Color | segmentation | , A |
| Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic | segmentation | |
| Box-level | segmentation | supervised deep neural networks for accurate and real-time multispectral pedestrian detection |
| Box-Supervised Instance | segmentation | with Level Set Evolution |
| Box2Mask: Weakly Supervised 3D Semantic Instance | segmentation | using Bounding Boxes |
| Box2seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised | segmentation | |
| BoxInst: High-Performance Instance | segmentation | with Box Annotations |
| BoxSnake: Polygonal Instance | segmentation | with Box Supervision |
| BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic | segmentation | |
| BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance | segmentation | |
| BP-net: deep learning-based superpixel | segmentation | for RGB-D image |
| BPKD: Boundary Privileged Knowledge Distillation For Semantic | segmentation | |
| Brain Anatomical Structure | segmentation | by Hybrid Discriminative/Generative Models |
| Brain Image | segmentation | by Markov Field and Normal Distribution Curve, The |
| Brain image | segmentation | using a combination of expectation-maximization algorithm and watershed transform |
| brain lesion | segmentation | |
| Brain Lesion | segmentation | through Physical Model Estimation |
| Brain magnetic resonance image | segmentation | based on an adapted non-local fuzzy c-means method |
| Brain MR image | segmentation | based on local Gaussian mixture model and nonlocal spatial regularization |
| Brain MR Image Tumor | segmentation | with Ventricular Deformation |
| Brain MRI denoising and | segmentation | based on improved adaptive nonlocal means |
| Brain MRI Image | segmentation | in View of Tumor Detection: Application to Multiple Sclerosis |
| Brain MRI | segmentation | Based on the Renyi's Fractal Dimension |
| Brain MRI | segmentation | by combining different MRI modalities using Dempster-Shafer theory |
| Brain MRI Tumor | segmentation | with 3D Intracranial Structure Deformation Features |
| Brain | segmentation | based on multi-atlas and diffeomorphism guided 3D fully convolutional network ensembles |
| Brain tissue MR-image | segmentation | via optimum-path forest clustering |
| Brain Tissue | segmentation | based on Graph Convolutional Networks |
| Brain tumor image pixel | segmentation | and detection using an aggregation of GAN models with vision transformer |
| Brain tumor image | segmentation | based on prior knowledge via transformer |
| Brain tumor | segmentation | and classification from magnetic resonance images: Review of selected methods from 2014 to 2019 |
| Brain tumor | segmentation | and classification via adaptive CLFAHE with hybrid classification |
| Brain tumor | segmentation | and multiview multiscale-based radiomic model for patient's overall survival prediction |
| Brain tumor | segmentation | and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network |
| Brain tumor | segmentation | based on the dual-path network of multi-modal MRI images |
| Brain tumor | segmentation | from multiple MRI sequences using multiple kernel learning |
| Brain tumor | segmentation | using a deep Shuffled-YOLO network |
| Brain Tumor | segmentation | Using Convolutional Neural Networks in MRI Images |
| Brain tumour cell | segmentation | and detection using deep learning networks |
| Brain tumour classification using two-tier classifier with adaptive | segmentation | technique |
| Brain tumour | segmentation | of MR images based on custom attention mechanism with transfer-learning |
| Brain, Cortex, General | segmentation | Issues |
| Brain, Cortex, MRI | segmentation | |
| Branch Aggregation Attention Network for Robotic Surgical Instrument | segmentation | |
| Branch-and-bound hypothesis selection for two-view multiple structure and motion | segmentation | |
| Branch-and-Mincut: Global Optimization for Image | segmentation | with High-Level Priors |
| Breaking reCAPTCHAs with Unpredictable Collapse: Heuristic Character | segmentation | and Recognition |
| Breaking the Object in Video Object | segmentation | |
| Breast Fibroglandular Tissue | segmentation | for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning |
| Breast mass | segmentation | based on information theory |
| Breast Mass | segmentation | in Mammographic Images by an Effective Region Growing Algorithm |
| Breast MRI Multi-tumor | segmentation | Using 3d Region Growing |
| Breast | segmentation | in MRI via U-Net Deep Convolutional Neural Networks |
| Breast | segmentation | using Fuzzy C-Means and anatomical priors in DCE-MRI |
| Breast | segmentation | with Pectoral Muscle Suppression on Digital Mammograms |
| Breast Skin-Line | segmentation | Using Contour Growing |
| Bregman Divergence Applied to Hierarchical | segmentation | Problems |
| Bregman divergence based Level Set Evolution for efficient medical image | segmentation | , A |
| Bregman-Proximal Augmented Lagrangian Approach to Multiphase Image | segmentation | |
| Brick-wall structured | segmentation | for interpolative vector quantization of images |
| Bridging the GAP Between Outputs: Domain Adaptation for Lung Cancer IHC | segmentation | |
| Bridging the Gap Between Semantic | segmentation | and Instance Segmentation |
| Bridging the Gap Between Semantic | segmentation | and Instance Segmentation |
| Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image | segmentation | |
| Bright region and vessel density based robust optic disc | segmentation | |
| Bright spot regions | segmentation | and classification for specular highlights detection in colonoscopy videos |
| Brightness preserving optimized weighted bi-histogram equalization algorithm and its application to MR brain image | segmentation | |
| Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic | segmentation | |
| Browsing Heterogeneous Document Collections by a | segmentation | -Free Word Spotting Method |
| BSCA-Net: Bit Slicing Context Attention network for polyp | segmentation | |
| BScan Image | segmentation | by Thresholding Using Cooccurrence Matrix Analysis |
| BshapeNet: Object detection and instance | segmentation | with bounding shape masks |
| BTS: A Bi-lingual Benchmark for Text | segmentation | in the Wild |
| Bubble Shape Identification and Calculation in Gas-Liquid Slug Flow Using Semi-automatic Image | segmentation | |
| BubbleNets: Learning to Select the Guidance Frame in Video Object | segmentation | by Deep Sorting Frames |
| Budget-Aware Deep Semantic Video | segmentation | |
| Building an Ensemble of Complementary | segmentation | Methods by Exploiting Probabilistic Estimates |
| Building CAD Model Reconstruction from Point Clouds via Instance | segmentation | , Signed Distance Function, and Graph Cut |
| Building Change Detection Based on 3D Co- | segmentation | Using Satellite Stereo Imagery |
| Building Detail-Sensitive Semantic | segmentation | Networks With Polynomial Pooling |
| Building Detection from Pan-Sharpened GeoEye-1 Satellite Imagery Using Context Based Multi-Level Image | segmentation | |
| Building Extraction from Airborne LiDAR Data Based on Multi-Constraints Graph | segmentation | |
| Building Extraction from High Spatial Resolution Remote Sensing Images via Multiscale-Aware and | segmentation | -Prior Conditional Random Fields |
| Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and | segmentation | |
| Building Facade and Rooftop | segmentation | By Normal Estimation From UAV Derived RGB Point Cloud |
| Building facade detection, | segmentation | , and parameter estimation for mobile robot stereo vision |
| Building Outline Extraction Directly Using the U2-Net Semantic | segmentation | Model from High-Resolution Aerial Images and a Comparison Study |
| Building Plane | segmentation | Based on Point Clouds |
| Building Roof | segmentation | and Modeling from LIDAR Point Clouds Using Machine Learning Techniques |
| Building | segmentation | for densely built urban regions using aerial LIDAR data |
| Building | segmentation | From Airborne VHR Images Using Mask R-CNN |
| Building | segmentation | in Agricultural Land Using High Resolution Satellite Imagery Based on Deep Learning Approach |
| Building | segmentation | through a gated graph convolutional neural network with deep structured feature embedding |
| Building shadow detection based on multi-thresholding | segmentation | |
| Building spatiotemporal anatomical models using joint 4-D | segmentation | , registration, and subject-specific atlas estimation |
| Built-in Depth-Semantic Coupled Encoding for Scene Parsing, Vehicle Detection, and Road | segmentation | |
| Built-in Foreground/Background Prior for Weakly-Supervised Semantic | segmentation | |
| Bundle Pooling for Polygonal Architecture | segmentation | Problem |
| Burned area semantic | segmentation | : A novel dataset and evaluation using convolutional networks |
| BURST: A Benchmark for Unifying Object Recognition, | segmentation | and Tracking in Video |
| Bvtnet: Multi-label Multi-class Fusion of Visible and Thermal Camera for Free Space and Pedestrian | segmentation | |
| C++ Implementation of Otsu's Image | segmentation | Method, A |
| C-CAM: Causal CAM for Weakly Supervised Semantic | segmentation | on Medical Image |
| C-means clustering fuzzified by two membership relative entropy functions approach incorporating local data information for noisy image | segmentation | |
| C-MIDN: Coupled Multiple Instance Detection Network With | segmentation | Guidance for Weakly Supervised Object Detection |
| C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide | segmentation | on Mars using Multimodal Satellite Imagery |
| C2 AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic | segmentation | |
| C2F-TCN: A Framework for Semi- and Fully-Supervised Temporal Action | segmentation | |
| C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image | segmentation | |
| C3-SemiSeg: Contrastive Semi-supervised | segmentation | via Cross-set Learning and Dynamic Class-balancing |
| C3Net: Cross-Modal Feature Recalibrated, Cross-Scale Semantic Aggregated and Compact Network for Semantic | segmentation | of Multi-Modal High-Resolution Aerial Images |
| CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image | segmentation | |
| CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and | segmentation | |
| CA-UNet: Convolution and attention fusion for lung nodule | segmentation | |
| CAD System for Long-Bone | segmentation | and Fracture Detection, A |
| CAggNet: Crossing Aggregation Network for Medical Image | segmentation | |
| Calibrated Adversarial Refinement for Stochastic Semantic | segmentation | |
| Calibrated Full-Waveform Airborne Laser Scanning for 3D Object | segmentation | |
| Cam-Guided U-Net With Adversarial Regularization for Defect | segmentation | |
| CAM-UNET: Class Activation MAP Guided UNET with Feedback Refinement for Defect | segmentation | |
| CAMEL: A Weakly Supervised Learning Framework for Histopathology Image | segmentation | |
| Camera calibration using adaptive | segmentation | and ellipse fitting for localizing control points |
| Camera Motion Estimation from Non-stationary Scenes Using EM-based Motion | segmentation | |
| Camera-based degraded character | segmentation | into individual components |
| Camera-trap images | segmentation | using multi-layer robust principal component analysis |
| Camouflaged Instance | segmentation | From Global Capture to Local Refinement |
| Camouflaged Instance | segmentation | In-the-Wild: Dataset, Method, and Benchmark Suite |
| Camouflaged Instance | segmentation | via Explicit De-Camouflaging |
| Camouflaged object | segmentation | using saliency maps: A comparative study |
| Camouflaged Object | segmentation | with Distraction Mining |
| Camouflaged Object | segmentation | with Omni Perception |
| Can Atlas-Based Auto- | segmentation | Ever Be Perfect? Insights From Extreme Value Theory |
| Can Generative Adversarial Networks Teach Themselves Text | segmentation | ? |
| Can Ground Truth Label Propagation from Video Help Semantic | segmentation | ? |
| Can Human Attribute | segmentation | be More Robust to Operational Contexts Without New Labels? |
| Can Motion | segmentation | Improve Patch-Based Object Recognition? |
| CancerUniT: Towards a Single Unified Model for Effective Detection, | segmentation | , and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans |
| CANet: Class-Agnostic | segmentation | Networks with Iterative Refinement and Attentive Few-Shot Learning |
| CANet: Co-attention network for RGB-D semantic | segmentation | |
| CANet: Context Aware Network for Brain Glioma | segmentation | |
| CANNET: Context aware nonlocal convolutional networks for semantic image | segmentation | |
| CAP: Context-Aware Pruning for Semantic | segmentation | |
| CapsuleVOS: Semi-Supervised Video Object | segmentation | Using Capsule Routing |
| Captured Human Motion | segmentation | Based on Dynamics and Principal Component Analysis |
| Capturing Omni-Range Context for Omnidirectional | segmentation | |
| Capturing the spatio-temporal continuity for video semantic | segmentation | |
| CAR: Class-Aware Regularizations for Semantic | segmentation | |
| Cardiac image | segmentation | by random walks with dynamic shape constraint |
| Cardiac LV and RV | segmentation | Using Mutual Context Information |
| Cardiac MRI Left Ventricular | segmentation | and Function Quantification Using Pre-trained Neural Networks |
| Cardiac | segmentation | With Strong Anatomical Guarantees |
| CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene | segmentation | |
| Carotid Artery Ultrasound Image | segmentation | Using Fuzzy Region Growing |
| Carotid Artery Wall | segmentation | by Coupled Surface Graph Cuts |
| Carotid Artery Wall | segmentation | in Multispectral MRI by Coupled Optimal Surface Graph Cuts |
| Carotid Ultrasound | segmentation | Using DP Active Contours |
| Cars Can't Fly Up in the Sky: Improving Urban-Scene | segmentation | via Height-Driven Attention Networks |
| Cartoon Plus Texture | segmentation | , Cartoon-Texture Segmentation |
| Cartoon Plus Texture | segmentation | , Cartoon-Texture Segmentation |
| Cascade R-CNN: High Quality Object Detection and Instance | segmentation | |
| Cascaded change detection for foreground | segmentation | |
| Cascaded Feature Network for Semantic | segmentation | of RGB-D Images |
| cascaded framework with cross-modality transfer learning for whole heart | segmentation | , A |
| Cascaded hierarchical atrous spatial pyramid pooling module for semantic | segmentation | |
| Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas | segmentation | |
| cascaded nested network for 3T brain MR image | segmentation | guided by 7T labeling, A |
| Cascaded Regression Neural Nets for Kidney Localization and | segmentation | -free Volume Estimation |
| Cascaded | segmentation | of Grained Cell Tissue with Active Contour Models |
| Cascaded | segmentation | -Detection Networks for Text-Based Traffic Sign Detection |
| CascadePSP: Toward Class-Agnostic and Very High-Resolution | segmentation | via Global and Local Refinement |
| CASNet: Common Attribute Support Network for image instance and panoptic | segmentation | |
| Cast shadow detection in video | segmentation | |
| Cast shadow removing in foreground | segmentation | |
| Cast shadow | segmentation | using invariant color features |
| Casting Geometric Constraints in Semantic | segmentation | as Semi-Supervised Learning |
| CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal | segmentation | in MRI |
| CAT: Constrained Adversarial Training for Anatomically-Plausible Semi-Supervised | segmentation | |
| Categorization of Multiple Objects in a Scene without Semantic | segmentation | |
| Category Differences Matter: A Broad Analysis of Inter-Category Error in Semantic | segmentation | |
| Category Level Object | segmentation | by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields |
| Category-Level Adversarial Adaptation for Semantic | segmentation | Using Purified Features |
| Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic | segmentation | |
| Category-specific Object Recognition and | segmentation | Using a Skeletal Shape Model |
| Category-specific object | segmentation | via unsupervised discriminant shape |
| CAU: A Consensus Model of Augmented Unlabeled Data for Medical Image | segmentation | |
| Causal graph-based video | segmentation | |
| Causal video object | segmentation | from persistence of occlusions |
| Causal Video | segmentation | Using Superseeds and Graph Matching |
| Causal-SETR: A | segmentation | TRansformer Variant Based on Causal Intervention |
| Causality-Inspired Single-Source Domain Generalization for Medical Image | segmentation | |
| Causes of Catastrophic Forgetting in Class-incremental Semantic | segmentation | |
| CauSSL: Causality-Inspired Semi-Supervised Learning for Medical Image | segmentation | |
| CAWM: Class-Aware Weight Map for Improved Semi-Supervised Nuclei | segmentation | |
| CB-D2RNet: An efficient context bridge network for glioma | segmentation | |
| CCANet: Class-Constraint Coarse-to-Fine Attentional Deep Network for Subdecimeter Aerial Image Semantic | segmentation | |
| CCE-based index selection for neuro assisted MR-image | segmentation | |
| CCNet: Criss-Cross Attention for Semantic | segmentation | |
| CCNet: Criss-Cross Attention for Semantic | segmentation | |
| CCT: Conditional Co-Training for Truly Unsupervised Remote Sensing Image | segmentation | in Coastal Areas |
| CCTA-based region-wise | segmentation | |
| CCTNet: Coupled CNN and Transformer Network for Crop | segmentation | of Remote Sensing Images |
| CD-MQANet: Enhancing Multi-Objective Semantic | segmentation | of Remote Sensing Images through Channel Creation and Dual-Path Encoding |
| CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic | segmentation | |
| CDAda: A Curriculum Domain Adaptation for Nighttime Semantic | segmentation | |
| CDANet: Common-and-Differential Attention Network for Object Detection and Instance | segmentation | |
| CDEST: Class Distinguishability-Enhanced Self-Training Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic | segmentation | |
| cDNA microarray image | segmentation | using root signals |
| CDNet: Centripetal Direction Network for Nuclear Instance | segmentation | |
| CDTS: Collaborative Detection, Tracking, and | segmentation | for Online Multiple Object Segmentation in Videos |
| CDTS: Collaborative Detection, Tracking, and | segmentation | for Online Multiple Object Segmentation in Videos |
| CE-Net: Context Encoder Network for 2D Medical Image | segmentation | |
| CE-PeopleSeg: Real-time people | segmentation | with 10% CPU usage for video conference |
| Cell Detection and | segmentation | in Microscopy Images with Improved Mask R-CNN |
| Cell Image | segmentation | |
| Cell Image | segmentation | by Integrating Multiple CNNs |
| Cell Image | segmentation | Method Based on Edge Feature Residual Fusion |
| Cell Nuclei and Cytoplasm Joint | segmentation | Using the Sliding Band Filter |
| Cell Nuclei | segmentation | Combining Multiresolution Analysis, Clustering Methods and Colour Spaces |
| Cell nuclei | segmentation | using fuzzy logic engine |
| Cell | segmentation | based on spatial information improved intuitionistic fcm combined with FOPSO |
| Cell | segmentation | using Hessian-based detection and contour evolution with directional derivatives |
| Cell | segmentation | Using Level Set Methods with a New Variance Term |
| Cell | segmentation | Via Region-Based Ellipse Fitting |
| Cell | segmentation | with median filter and mathematical morphology operation |
| Cell | segmentation | with random ferns and graph-cuts |
| Cell | segmentation | : 50 Years Down the Road |
| Cell-type based semantic | segmentation | of histopathological images using deep convolutional neural networks |
| Cells | segmentation | From 3-D Confocal Images of Early Zebrafish Embryogenesis |
| Cellsnake: A new active contour technique for cell/fibre | segmentation | |
| CellTranspose: Few-shot Domain Adaptation for Cellular Instance | segmentation | |
| Cellular Binary Neural Network for Accurate Image Classification and Semantic | segmentation | |
| cellular coevolutionary algorithm for image | segmentation | , A |
| Cellular complexes: A tool for 3d homotopic | segmentation | in brain images |
| Cellular Neural Network Architecture for Gibbs Random Field Based Image | segmentation | |
| Cellular neural networks and active contours: A tool for image | segmentation | |
| Center Focusing Network for Real-Time LiDAR Panoptic | segmentation | |
| Center-free PFCM for MRI brain image | segmentation | |
| Center-Shift: An approach towards automatic robust mesh | segmentation | (ARMS) |
| CenterMask: Real-Time Anchor-Free Instance | segmentation | |
| CenterMask: Single Shot Instance | segmentation | With Point Representation |
| CenterPoly: real-time instance | segmentation | using bounding polygons |
| Central Medialness Adaptive Strategy for 3D Lung Nodule | segmentation | in Thoracic CT Images |
| Centre of mass model: A novel approach to background modelling for | segmentation | of moving objects |
| Centroidal Voronoi Tessellation Algorithms for Image Compression, | segmentation | , and Multichannel Restoration |
| Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm for Binocular Stereo | segmentation | |
| Cerebral Vascular Atlas Generation for Anatomical Knowledge Modeling and | segmentation | Purpose |
| Cerebral white matter | segmentation | from MRI using probabilistic graph cuts and geometric shape priors |
| Cerebrovascular | segmentation | by Accurate Probabilistic Modeling of TOF-MRA Images |
| Certain Object | segmentation | Based on AdaBoost Learning and Nodes Aggregation Iterative Graph-Cuts |
| Cervical image classification based on image | segmentation | preprocessing and a CapsNet network model |
| CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image | segmentation | |
| CFCG: Semi-Supervised Semantic | segmentation | via Cross-Fusion and Contour Guidance Supervision |
| CFENet: Boosting Few-Shot Semantic | segmentation | With Complementary Feature-Enhanced Network |
| CFPNET: Channel-Wise Feature Pyramid for Real-Time Semantic | segmentation | |
| CG-Net: Conditional GIS-Aware Network for Individual Building | segmentation | in VHR SAR Images |
| CGA-Net: Category Guided Aggregation for Point Cloud Semantic | segmentation | |
| CGNet: A Light-Weight Context Guided Network for Semantic | segmentation | |
| Chain-Link Coding and | segmentation | for Raster Scan Devices |
| Challenges in | segmentation | of Human Forms in Outdoor Video |
| Chan-Vese Reformulation for Selective Image | segmentation | |
| Chan-Vese | segmentation | |
| Change Detection and Land Use: Land Cover Database Updating Using Image | segmentation | , GIS Analysis and Visual Interpretation |
| Change Detection and Object | segmentation | : A Histogram of Features-Based Energy Minimization Approach |
| Change detection by probabilistic | segmentation | from monocular view |
| Change detection for moving object | segmentation | with robust background construction under Wronskian framework |
| Change Detection from a Street Image Pair using CNN Features and Superpixel | segmentation | |
| change detection method for remotely sensed multispectral and multitemporal images using 3-D | segmentation | , A |
| Change detection using multiscale | segmentation | and Kullback-Leibler divergence: Application on road damage extraction |
| Change detection with texture | segmentation | and nonlinear filtering in optical remote sensing images |
| Channel Coding for Joint Colour and Depth | segmentation | |
| Channel | segmentation | using Confidence and Curvature-Guided Level Sets on Noisy Seismic Images |
| Channel-spatial knowledge distillation for efficient semantic | segmentation | |
| Chaotic firefly algorithm-based fuzzy C-means algorithm for | segmentation | of brain tissues in magnetic resonance images |
| Character Line | segmentation | Based on Feature Clustering |
| Character N-Gram Spotting on Handwritten Documents Using Weakly-Supervised | segmentation | |
| Character region | segmentation | based on Stroke Stable Regions |
| Character | segmentation | and Recognition of Variable-Length License Plates Using ROI Detection and Broad Learning System |
| Character | segmentation | and transcription system for historical Japanese books with a self-proliferating character image database |
| Character | segmentation | for License Plate Recognition by K-Means Algorithm |
| Character | segmentation | in Handwritten Words: An Overview |
| Character | segmentation | in highly blurred ancient printed documents |
| Character | segmentation | in Japanese Hand-Written Document Images |
| character | segmentation | method for Japanese printed documents coping with touching character problems, A |
| Character | segmentation | of color images from digital camera |
| Character | segmentation | of Handwritten Bangla Text by Vertex Characterization of Isothetic Covers |
| Character | segmentation | of Hindi Unconstrained Handwritten Words |
| Character | segmentation | Using Convex-Hull Techniques |
| Character | segmentation | , Segmentation of Individual Characters |
| Character | segmentation | , Segmentation of Individual Characters |
| Character | segmentation | -by-Recognition Using Log-Gabor Filters |
| Character-Position-Free On-Line Handwritten Japanese Text Recognition by Two | segmentation | Methods |
| Character-Recognition Without | segmentation | |
| Characterization of aboveground biomass in an unmanaged boreal forest using Landsat temporal | segmentation | metrics |
| Characterization of Perceptual Importance for Object-based Image | segmentation | |
| Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic | segmentation | |
| Characterizing Robustness and Sensitivity of Convolutional Neural Networks in | segmentation | of Fluorescence Microscopy Images |
| Chinese Handwritten Character | segmentation | in Form Documents |
| Chromatic shadow detection and tracking for moving foreground | segmentation | |
| CIF-Based Speech | segmentation | Method for Streaming E2E ASR, A |
| Ciona17 Dataset for Semantic | segmentation | of Invasive Species in a Marine Aquaculture Environment, The |
| Circle-Valued Nonlinear Diffusions with Application to Texture | segmentation | |
| Circular Arc | segmentation | by Curvature Estimation and Geometric Validation |
| Circular Neighborhood and 1-D DFT Features for Texture Classification and | segmentation | |
| Circular spot detection and | segmentation | with rotating line local binary analysis |
| Circular-Mellin features for texture | segmentation | |
| CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor | segmentation | |
| Class Based Thresholding in Early Exit Semantic | segmentation | Networks |
| class of discrete multiresolution random fields and its application to image | segmentation | , A |
| Class Re-Activation Maps for Weakly-Supervised Semantic | segmentation | |
| Class | segmentation | and Object Localization with Superpixel Neighborhoods |
| Class semantic enhancement network for semantic | segmentation | |
| Class Similarity Weighted Knowledge Distillation for Continual Semantic | segmentation | |
| Class-Adaptive Spatially Variant Mixture Model for Image | segmentation | , A |
| Class-Agnostic | segmentation | Loss and Its Application to Salient Object Detection and Segmentation |
| Class-Agnostic | segmentation | Loss and Its Application to Salient Object Detection and Segmentation |
| Class-Aware Domain Adaptation for Semantic | segmentation | of Remote Sensing Images |
| Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic | segmentation | |
| Class-Based Styling: Real-Time Localized Style Transfer with Semantic | segmentation | |
| Class-Guided Feature Decoupling Network for Airborne Image | segmentation | |
| Class-incremental Continual Learning for Instance | segmentation | with Image-level Weak Supervision |
| Class-Specific, Top-Down | segmentation | |
| Class-Specified | segmentation | with Multi-scale Superpixels |
| Class-wise Dynamic Graph Convolution for Semantic | segmentation | |
| Class-Wise Fully Convolutional Network for Semantic | segmentation | of Remote Sensing Images |
| ClassCut for Unsupervised Class | segmentation | |
| Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic | segmentation | |
| ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic | segmentation | of Remote Sensing Imagery |
| Classifiability criteria for refining of random walks | segmentation | |
| Classification and interactive | segmentation | of EEG synchrony patterns |
| Classification and | segmentation | of Mining Area Objects in Large-Scale Spares Lidar Point Cloud Using a Novel Rotated Density Network |
| Classification and | segmentation | of Rotated and Scaled Textured Images Using Texture Tuned Masks |
| Classification and | segmentation | of Satellite Orthoimagery Using Convolutional Neural Networks |
| Classification and | segmentation | of terrestrial laserscanner point clouds using local variance Information |
| Classification and | segmentation | of Vector Flow-Fields Using a Neural-Network |
| Classification Approach for Anatomical Regions | segmentation | , A |
| Classification Assisted | segmentation | Network for Human Parsing |
| Classification Methods, Clustering for Region | segmentation | |
| Classification of ALS Point Cloud with Improved Point Cloud | segmentation | and Random Forests |
| Classification of Coal Images by a Multi-Scale | segmentation | Techniques |
| Classification of multiscale spatiotemporal energy features for video | segmentation | and dynamic objects prioritisation |
| Classification of polarimetric SAR images of suburban areas using joint annealed | segmentation | and H/A/alpha polarimetric decomposition |
| Classification of Remotely Sensed Images Using the GeneSIS Fuzzy | segmentation | Algorithm |
| Classification of small lesions in dynamic breast MRI: eliminating the need for precise lesion | segmentation | through spatio-temporal analysis of contrast enhancement |
| Classification of Textured and Non-textured Images Using Region | segmentation | |
| Classification of very high-resolution remote sensing images by applying a new edge-based marker-controlled watershed | segmentation | method |
| Classification of video | segmentation | application scenarios |
| Classification Scheme for Lymphocyte | segmentation | in H&E Stained Histology Images, A |
| Classification Task Assisted | segmentation | Network for Breast Tumor Segmentation in Ultrasound Images |
| Classification Task Assisted | segmentation | Network for Breast Tumor Segmentation in Ultrasound Images |
| Classification trees for fast | segmentation | of DTI brain fiber tracts |
| Classification with an edge: Improving semantic image | segmentation | with boundary detection |
| Classification-Based | segmentation | of the Region of Interest in Chromatographic Images |
| Classification-Driven Watershed | segmentation | |
| Classification- | segmentation | Framework for the Detection of Individual Trees in Dense MMS Point Cloud Data Acquired in Urban Areas, A |
| Classifier aided training for semantic | segmentation | |
| Classifier based graph construction for video | segmentation | |
| Classifier Vote and Gabor Filter Banks for Wafer | segmentation | |
| Classifiers Combination for Improved Motion | segmentation | |
| Classifying Cable Tendency with Semantic | segmentation | by Utilizing Real and Simulated RGB Data |
| ClassMix: | segmentation | -Based Data Augmentation for Semi-Supervised Learning |
| Clausius Normalized Field-Based Shape-Independent Motion | segmentation | |
| clDice: A Novel Topology-Preserving Loss Function for Tubular Structure | segmentation | |
| Click Carving: Interactive Object | segmentation | in Images and Videos with Point Clicks |
| Click-Pixel Cognition Fusion Network With Balanced Cut for Interactive Image | segmentation | |
| Clickstream Analysis for Crowd-Based Object | segmentation | with Confidence |
| Climbing: A Unified Approach for Global Constraints on Hierarchical | segmentation | |
| CLIMS: Cross Language Image Matching for Weakly Supervised Semantic | segmentation | |
| Clinical Evaluation of an Automatic Method for | segmentation | and Characterization of the Thoracic Aorta with and Without Aneurysm Patients |
| Clinical Scene | segmentation | with Tiny Datasets |
| CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic | segmentation | |
| CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic | segmentation | For-Free |
| CLIP-Driven Universal Model for Organ | segmentation | and Tumor Detection |
| CLIP-S4: Language-Guided Self-Supervised Semantic | segmentation | |
| Clockwork Convnets for Video Semantic | segmentation | |
| Closed Form Solution to Direct Motion | segmentation | , A |
| Closed-Form Approximate CRF Training for Scalable Image | segmentation | |
| Closed-Form Solution for Image Sequence | segmentation | with Dynamical Shape Priors, A |
| Closed-Loop Adaptive Image | segmentation | |
| Closely Coupled Object Detection and | segmentation | |
| Closer Look at Self-training for Zero-Label Semantic | segmentation | , A |
| Closing Curves with Riemannian Dilation: Application to | segmentation | in Automated Cervical Cancer Screening |
| Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in | segmentation | via Adaptive Loss Functions |
| Closing the Generalization Gap of Cross-Silo Federated Medical Image | segmentation | |
| Clothes Co-Parsing Via Joint Image | segmentation | and Labeling With Application to Clothing Retrieval |
| Clothing Co-parsing by Joint Image | segmentation | and Labeling |
| Clothing | segmentation | and recoloring using background subtraction and back projection method |
| Clothing | segmentation | using foreground and background estimation based on the constrained Delaunay triangulation |
| ClothSeg: semantic | segmentation | network with feature projection for clothing parsing |
| Cloud and Snow | segmentation | in Satellite Images Using an Encoder-Decoder Deep Convolutional Neural Networks |
| Cloud-Based Evaluation of Anatomical Structure | segmentation | and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks |
| Cloud-to-Ground and Intra-Cloud Nowcasting Lightning Using a Semantic | segmentation | Deep Learning Network |
| Clouds Classification from Sentinel-2 Imagery with Deep Residual Learning and Semantic Image | segmentation | |
| CLUE: Contrastive language-guided learning for referring video object | segmentation | |
| Cluster Alignment With Target Knowledge Mining for Unsupervised Domain Adaptation Semantic | segmentation | |
| Cluster Grouping Technique for Texture | segmentation | , A |
| Cluster Validation for Unsupervised Stochastic Model-Based Image | segmentation | |
| Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic | segmentation | |
| Cluster-based genetic | segmentation | of time series with DWT |
| Cluster-based | segmentation | of Natural Scenes |
| Cluster-to-adapt: Few Shot Domain Adaptation for Semantic | segmentation | across Disjoint Labels |
| clustering algorithm for liver lesion | segmentation | of diffusion-weighted MR images, A |
| Clustering Based Approach for Automatic Image | segmentation | : An Application to Biplane Ventriculograms, A |
| Clustering Based Automated Glacier | segmentation | Scheme Using Digital Elevation Model, A |
| clustering fuzzy approach for image | segmentation | , A |
| Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue | segmentation | |
| Clustering Plotted Data by Image | segmentation | |
| Clustering Quality Measures for Point Cloud | segmentation | Tasks |
| CLVOS23: A Long Video Object | segmentation | Dataset for Continual Learning |
| CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image | segmentation | |
| CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic | segmentation | |
| CMF: Cascaded Multi-Model Fusion for Referring Image | segmentation | |
| CMT-DeepLab: Clustering Mask Transformers for Panoptic | segmentation | |
| CMX: Cross-Modal Fusion for RGB-X Semantic | segmentation | With Transformers |
| CNet: A Novel Seabed Coral Reef Image | segmentation | Approach Based on Deep Learning |
| CNN Based HEp-2 Specimen Image | segmentation | and Identification of Mitotic Spindle Type Specimens, A |
| CNN Based Yeast Cell | segmentation | in Multi-modal Fluorescent Microscopy Data |
| CNN Cascade for Landmark Guided Semantic Part | segmentation | , A |
| CNN in MRF: Video Object | segmentation | via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF |
| CNN Model for Semantic Person Part | segmentation | With Capacity Optimization, A |
| CNN transfer learning-based approach for | segmentation | and classification of brain stroke from noncontrast CT images, A |
| CNN, | segmentation | or Semantic Embeddings: Evaluating Scene Context for Trajectory Prediction |
| CNN-Based Food Image | segmentation | Without Pixel-Wise Annotation |
| CNN-Based Land Cover Classification Combining Stratified | segmentation | and Fusion of Point Cloud and Very High-Spatial Resolution Remote Sensing Image Data |
| CNN-Based Object | segmentation | in Urban LIDAR with Missing Points |
| CNN-based off-angle iris | segmentation | and recognition |
| CNN-Based Semantic | segmentation | Using Level Set Loss |
| CNN-based two-stage cell | segmentation | improves plant cell tracking |
| CNN-Based Watershed Marker Extraction for Brick | segmentation | in Masonry Walls |
| CNN-Enhanced Heterogeneous Graph Convolutional Network: Inferring Land Use from Land Cover with a Case Study of Park | segmentation | |
| CNOS: A Strong Baseline for CAD-based Novel Object | segmentation | |
| Co-heterogeneous and Adaptive | segmentation | from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation |
| Co-heterogeneous and Adaptive | segmentation | from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation |
| Co-Net: A Collaborative Region-Contour-Driven Network for Fine-to-Finer Medical Image | segmentation | |
| Co-occurrence Matrix-Based Image | segmentation | |
| Co-Occurrent Features in Semantic | segmentation | |
| Co-parent selection for fast region merging in pyramidal image | segmentation | |
| Co-Saliency Detection Based on Hierarchical | segmentation | |
| Co- | segmentation | Aided Two-Stream Architecture for Video Captioning |
| Co- | segmentation | and Superpixel-Based Graph Cuts for Building Change Detection from Bi-Temporal Digital Surface Models and Aerial Images |
| Co- | segmentation | by Composition |
| Co- | segmentation | for space-time co-located collections |
| Co- | segmentation | Guided Hough Transform for Robust Feature Matching |
| Co- | segmentation | inspired attention module for video-based computer vision tasks |
| Co- | segmentation | Inspired Attention Networks for Video-Based Person Re-Identification |
| Co- | segmentation | of 3D shapes via multi-view spectral clustering |
| Co- | segmentation | of Image Pairs with Quadratic Global Constraint in MRFs |
| Co- | segmentation | of multiple similar images using saliency detection and region merging |
| Co- | segmentation | of Non-Homogeneous Image Sets |
| Co- | segmentation | of Textured 3D Shapes with Sparse Annotations |
| Co- | segmentation | via visualization |
| Co- | segmentation | , Cosegmentation |
| Co-Sparse Textural Similarity for Interactive | segmentation | |
| Co-Training Based | segmentation | of Merged Moving Objects |
| Coarse adaptive color image | segmentation | for visual object classification |
| Coarse Mask Guided Interactive Object | segmentation | |
| coarse-refine | segmentation | network for COVID-19 CT images, A |
| Coarse-to-Fine Amodal | segmentation | with Shape Prior |
| Coarse-to-Fine Domain Adaptive Semantic | segmentation | with Photometric Alignment and Category-Center Regularization |
| Coarse-to-Fine Feature Mining for Video Semantic | segmentation | |
| Coarse-to-fine Foreground | segmentation | based on Co-occurrence Pixel-Block and Spatio-Temporal Attention Model |
| Coarse-to-Fine Morphological Approach with Knowledge-Based Rules and Self-Adapting Correction for Lung Nodules | segmentation | , A |
| Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic | segmentation | |
| Coarse-to-Fine | segmentation | and Tracking Using Sobolev Active Contours |
| Coarse-to-Fine | segmentation | with Shape-Tailored Continuum Scale Spaces |
| Coarse-to-Fine Semantic | segmentation | From Image-Level Labels |
| Coarse-to-Fine Semantic Video | segmentation | Using Supervoxel Trees |
| coarse-to-fine weakly supervised learning method for green plastic cover | segmentation | using high-resolution remote sensing images, A |
| Coastline Detection Using Fusion of Over | segmentation | And Distance Regularization Level Set Evolution |
| CobNet: Cross Attention on Object and Background for Few-Shot | segmentation | |
| Coconut trees detection and | segmentation | in aerial imagery using mask region-based convolution neural network |
| Code: Active | segmentation | With Fixation |
| Codimension-Two Geodesic Active Contours for the | segmentation | of Tubular Structures |
| Coding Theoretic Approach to Image | segmentation | |
| Coding-Oriented Video | segmentation | Inspired by MRF Models |
| COFI: Coarse-semantic to Fine-instance Unsupervised Mitochondria | segmentation | in EM |
| Coherence-aware context aggregator for fast video object | segmentation | |
| Coherent Laplacian 3-D protrusion | segmentation | |
| Coherent Motion | segmentation | in Moving Camera Videos Using Optical Flow Orientations |
| Coherent Parametric Contours for Interactive Video Object | segmentation | |
| Coiflets for Range Image | segmentation | |
| CoInNet: A Convolution-Involution Network With a Novel Statistical Attention for Automatic Polyp | segmentation | |
| CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental | segmentation | |
| COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and | segmentation | from chest computed tomography images |
| Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-supervised Polyp | segmentation | |
| Collaborative Global-Local Networks for Memory-Efficient | segmentation | of Ultra-High Resolution Images |
| Collaborative Learning of Semi-Supervised | segmentation | and Classification for Medical Images |
| Collaborative Propagation on Multiple Instance Graphs for 3D Instance | segmentation | with Single-point Supervision |
| Collaborative | segmentation | and classification for remote sensing image analysis |
| Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor | segmentation | |
| Collaborative Video Object | segmentation | by Foreground-background Integration |
| Collaborative Video Object | segmentation | by Multi-Scale Foreground-Background Integration |
| Collect-cut: | segmentation | with top-down cues discovered in multi-object images |
| collection of challenging motion | segmentation | benchmark datasets, A |
| Colon cancer prediction using 2DReCA | segmentation | and hybrid features on histopathology images |
| Colonic Polyp | segmentation | in CT Colonography-Based on Fuzzy Clustering and Deformable Models |
| Color Adjacency Modeling for Improved Image and Video | segmentation | |
| Color aided motion- | segmentation | and object tracking for video sequences semantic analysis |
| Color and Texture Fusion: Application to Aerial Image | segmentation | and GIS Updating |
| Color and/or Texture | segmentation | Using Deterministic Relaxation and Fast Marching Algorithms |
| Color Applied to | segmentation | |
| Color Based Image | segmentation | and its Application to Text Segmentation, A |
| Color Based Image | segmentation | and its Application to Text Segmentation, A |
| Color Based Video | segmentation | Using Level Sets |
| Color Blob | segmentation | by MSER Analysis |
| Color Cell Image | segmentation | Using Pyramidal Constraint Satisfaction Neural Network |
| Color Clustering Technique for Image | segmentation | , A |
| Color Constant Ratio Gradients for Image | segmentation | and Similarity of Textured Objects |
| Color detection and | segmentation | for road and traffic signs |
| color differentiated fuzzy c-means (CDFCM) based image | segmentation | algorithm, A |
| Color Edge Detector and Its Use in Scene | segmentation | , A |
| Color Face | segmentation | Using A Fuzzy Min-max Neural Network |
| Color Halftone Document | segmentation | and Descreening |
| Color Histogram-Based Image | segmentation | |
| Color Image Background | segmentation | and Representation |
| Color Image | segmentation | |
| Color image | segmentation | and parameter estimation in a markovian framework |
| color image | segmentation | approach for content-based image retrieval, A |
| Color Image | segmentation | Based on 3-D Clustering: Morphological Approach |
| Color image | segmentation | based on adaptive local thresholds |
| Color Image | segmentation | Based on an Iterative Graph Cut Algorithm Using Time-of-Flight Cameras |
| Color Image | segmentation | Based on Automatic Morphological Clustering |
| Color Image | segmentation | Based on Fuzzy Mathematical Morphology |
| Color image | segmentation | based on homogram thresholding and region merging |
| Color image | segmentation | based on markov random field clustering for histological image analysis |
| Color Image | segmentation | Based on Mean Shift and Normalized Cuts |
| Color image | segmentation | based on multi-level Tsallis-Havrda-Charvat entropy and 2D histogram using PSO algorithms |
| Color Image | segmentation | Based on Tensor Voting |
| Color Image | segmentation | Based on Type-2 Fuzzy Sets and Region Merging |
| Color Image | segmentation | Based on Vectorial Multiscale Diffusion with Inter-scale Linking |
| Color Image | segmentation | Based Upon a New Statistical Pattern Classification Approach |
| Color image | segmentation | by a watershed algorithm and region adjacency graph processing |
| Color image | segmentation | by analysis of subset connectedness and color homogeneity properties |
| Color Image | segmentation | by Clustering and Parametric-Histogramming Technique |
| Color Image | segmentation | by Means of a Similarity Function |
| Color Image | segmentation | by Minimal Surface Smoothing |
| Color Image | segmentation | by Modular Neural-Network |
| Color image | segmentation | by pixel classification in an adapted hybrid color space. Application to soccer image analysis |
| Color Image | segmentation | by Supervised Pixel Classification in a Color Texture Feature Space. Application to Soccer Image Segmentation |
| Color Image | segmentation | by Supervised Pixel Classification in a Color Texture Feature Space. Application to Soccer Image Segmentation |
| Color Image | segmentation | by the Vector-Valued Allen-Cahn Phase-Field Model: A Multigrid Solution |
| Color Image | segmentation | for Objects of Interest with Modified Geodesic Active Contour Method |
| Color image | segmentation | guided by a color gradient network |
| Color Image | segmentation | in a Quaternion Framework |
| Color image | segmentation | in HSI space for automotive applications |
| Color Image | segmentation | Method using Watershed Algorithm and Contour Information |
| Color Image | segmentation | Using a Model-Based Clustering and a MFA-EM Algorithm |
| Color Image | segmentation | Using Acceptable Histogram Segmentation |
| Color Image | segmentation | Using Acceptable Histogram Segmentation |
| Color image | segmentation | using adaptive color quantization and multiresolution texture characterization |
| Color image | segmentation | using an enhanced Gradient Network Method |
| Color Image | segmentation | Using Competitive Learning |
| Color Image | segmentation | using Dempster-Shafer Theory |
| Color Image | segmentation | Using Energy Minimization on a Quadtree Representation |
| Color Image | segmentation | using Fast Fuzzy C-Means Algorithm |
| Color image | segmentation | using fuzzy C-means and eigenspace projections |
| Color image | segmentation | using genetic algorithm with aggregation-based clustering validity index (CVI) |
| Color image | segmentation | using histogram multithresholding and fusion |
| Color image | segmentation | using histogram thresholding: Fuzzy C-means hybrid approach |
| Color Image | segmentation | Using Hopfield Networks |
| Color Image | segmentation | using Local Histogram and Self-Organization of Kohonen Feature Map |
| Color Image | segmentation | Using Markov Random Fields |
| Color image | segmentation | using mean shift and improved spectral clustering |
| Color image | segmentation | using morphological clustering and fusion with automatic scale selection |
| Color image | segmentation | using multi-level thresholding approach and data fusion techniques: application in the breast cancer cells images |
| Color Image | segmentation | Using Multilevel Clustering Approach |
| Color image | segmentation | using multiscale fuzzy C-means and graph theoretic merging |
| Color image | segmentation | using pixel wise support vector machine classification |
| Color image | segmentation | using tensor voting based color clustering |
| Color Image | segmentation | using the Dempster-Shafer Theory of Evidence for the Fusion of Texture |
| Color Image | segmentation | Using Watersheds and Joint Homogeneity-Edge Integrity Region Merging Criteria |
| Color Image | segmentation | with a Hyper-Conic Multilayer Perceptron |
| Color Image | segmentation | with Detection of Highlights and Local Illumination Induced by Inter-Reflections |
| Color image | segmentation | : a novel spatial fuzzy genetic algorithm |
| Color image | segmentation | : advances and prospects |
| Color image | segmentation | : An innovative approach |
| Color image | segmentation | : Rough-set theoretic approach |
| Color Images' | segmentation | Using Scale Space Filter and Markov Random Field |
| Color Information for Region | segmentation | |
| Color invariant density estimation for image | segmentation | and object tracking |
| Color Invariant Skin | segmentation | |
| Color Reflectance Model and Its Use for | segmentation | , A |
| Color | segmentation | and Figure-ground Segregation of Natural Images |
| Color | segmentation | by Hierarchical Connected Components Analysis with Image Enhancements by Symmetric Neighborhood Filters |
| Color | segmentation | by ordered mergings |
| Color | segmentation | for text extraction |
| Color | segmentation | in the HSI Color Space Using the k-Means Algorithm |
| Color | segmentation | of Complex Document Images |
| Color | segmentation | of ink-characters: Application to Meat Tracabeality Control |
| Color | segmentation | robust to brightness variations by using B-spline curve modeling |
| Color | segmentation | Through Independent Anisotropic Diffusion of Complex Chromaticity and Lightness |
| Color | segmentation | using perceptual attributes |
| Color | segmentation | Via Improved Mountain Clustering Technique |
| Color | segmentation | , Healey |
| Color Skin | segmentation | Based on Non-linear Distance Metrics |
| Color space selection for unsupervised color image | segmentation | by histogram multithresholding |
| color spatio-temporal | segmentation | tool applied to sequences of color texture images, A |
| Color texture image | segmentation | based on neutrosophic set and wavelet transformation |
| Color Texture | segmentation | Based on Quaternion-Gabor Features |
| Color Texture | segmentation | Based on the Modal Energy of Deformable Surfaces |
| Color Texture | segmentation | by Decomposition of Gaussian Mixture Model |
| Color Texture | segmentation | for Clothing in a Computer-Aided Fashion Design System |
| Color texture | segmentation | using feature distributions |
| Color Texture | segmentation | Using Quaternion-Gabor Filters |
| Color Tree of Shapes with Illustrations on Filtering, Simplification, and | segmentation | , A |
| Color video | segmentation | by lateral inhibition in accumulative computation |
| Color- and Texture-Based Image | segmentation | for Improved Forest Delineation |
| Color- and Texture-Based Image | segmentation | Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval |
| Color-Based Image Salient Region | segmentation | Using Novel Region Merging Strategy |
| Color-Based | segmentation | of Point Clouds |
| Color-based skin | segmentation | : An evaluation of the state of the art |
| Color-based video | segmentation | using interlinked irregular pyramids |
| Color-Texture Image | segmentation | by Combining Region and Photometric Invariant Edge Information |
| Color-texture image | segmentation | by integrating directional operators into JSEG method |
| Color-texture | segmentation | using unsupervised graph cuts |
| Colorectal Polyp | segmentation | Based on Geodesic Active Contours with a Shape-Prior Model |
| Colorization Using | segmentation | with Random Walk |
| ColorMapGAN: Unsupervised Domain Adaptation for Semantic | segmentation | Using Color Mapping Generative Adversarial Networks |
| ColorRL: Reinforced Coloring for End-to-End Instance | segmentation | |
| Colors of the past: color image | segmentation | in historical topographic maps based on homogeneity |
| Colour and Texture | segmentation | Using Wavelet Frame Analysis, Deterministic Relaxation, and Fast Marching Algorithms |
| Colour Image | segmentation | and Labeling Through Multiedit-Condensing |
| Colour image | segmentation | based on a convex K-means approach |
| Colour Image | segmentation | by Non-Parametric Density Estimation in Colour Space |
| Colour Image | segmentation | Solving Hard-constraints on Graph Partitioning Greedy Algorithms |
| Colour Image | segmentation | Using Adaptive Mean Shift Filters |
| Colour image | segmentation | using boundary relaxation |
| Colour Image | segmentation | Using Texems |
| Colour image | segmentation | using the self-organizing map and adaptive resonance theory |
| Colour Morphological Scale-Spaces for Image | segmentation | |
| Colour Perception Graph for Characters | segmentation | |
| Colour saliency-based parameter optimisation for adaptive colour | segmentation | |
| Colour | segmentation | Based on a Light Reflection Model to Locate Citrus Fruits for Robotic Harvesting |
| Colour | segmentation | based on separate anisotropic diffusion of chromatic and achromatic channels |
| Colour | segmentation | for multiple low dynamic range images using boosted cascaded classifiers |
| Colour | segmentation | with polynomial classification |
| Colour text | segmentation | in web images based on human perception |
| Colour Texture | segmentation | by Region-Boundary Cooperation |
| Colour Vision Model-Based Approach for | segmentation | of Traffic Signs |
| Colour, texture, and motion in level set based | segmentation | and tracking |
| Colour-based | segmentation | using FCM and K-means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure |
| Columnar Architecture and Computational Anatomy in Primate Visual Cortex: | segmentation | and Feature Extraction via Spatial Frequence Coded Difference Mapping |
| Combination of Accumulated Motion and Color | segmentation | for Human Activity Analysis |
| Combination of Image | segmentation | Into Regions |
| Combination of Local Fuzzy-Entropy-Based Transition Region Extraction with Otsu Thresholding Method for Image | segmentation | , The |
| Combination of Multiple | segmentation | s by a Random Walker Approach |
| Combination of OCR Engines for Page | segmentation | Based on Performance Evaluation |
| Combination of Piecewise-Geodesic Paths for Interactive | segmentation | |
| Combination of thermal and color images for accurate foreground / background | segmentation | in outdoor environment |
| Combination Strategies in Multi-Atlas Image | segmentation | : Application to Brain MR Data |
| Combinatorial Approach for Hyperspectral Image | segmentation | , A |
| Combinatorial Optimization of the piecewise constant Mumford-Shah functional with application to scalar/vector valued and volumetric image | segmentation | |
| Combinatorial Pyramids and Discrete Geometry for Energy-Minimizing | segmentation | |
| Combinatorial Solution for Model-Based Image | segmentation | and Real-Time Tracking, A |
| combined active contours method for | segmentation | using localization and multiresolution, A |
| Combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image | segmentation | , A |
| Combined Color and Texture | segmentation | Based on Fibonacci Lattice Sampling and Mean Shift |
| Combined color and texture | segmentation | by parametric distributional clustering |
| Combined Decision Theoretic and Syntactic Approach to Image | segmentation | |
| Combined Detection and | segmentation | of Cell Nuclei in Microscopy Images Using Deep Learning |
| combined fuzzy and level sets' based approach for brain MRI image | segmentation | , A |
| Combined Key-Frame Extraction and Object-Based Video | segmentation | |
| Combined Markov Random Field and Wave-Packet Transform-Based Approach for Image | segmentation | , A |
| Combined Morphological-Spectral Unsupervised Image | segmentation | |
| Combined Object Detection and | segmentation | by Using Space-Time Patches |
| Combined | segmentation | and Registration Framework with a Nonlinear Elasticity Smoother, A |
| Combined | segmentation | and Tracking of Neural Stem-Cells |
| Combined | segmentation | , reconstruction, and tracking of multiple targets in multi-view video sequences |
| Combined surface interpolation and object | segmentation | for automatic 3D scene reconstruction |
| Combined Top-Down/Bottom-Up | segmentation | |
| combined topological and statistical approach for interactive | segmentation | of 3D images, A |
| Combined Tree | segmentation | and Stem Detection Using Full Waveform Lidar Data |
| Combing Color Index and Region Growing with Simple Non-iterative Clustering for Plant | segmentation | |
| Combining 3D Deformable Models and Level Set Methods for the | segmentation | of Abdominal Aortic Aneurysms |
| Combining a bottom up and top down classifiers for the | segmentation | of the left ventricle from cardiac imagery |
| Combining an Active Shape and Motion Models for Object | segmentation | in Image Sequences |
| Combining appearance models and Markov Random Fields for category level object | segmentation | |
| Combining attention mechanism and Feature Selection Module for Real-time semantic | segmentation | |
| Combining Belief Networks and Neural Networks for Scene | segmentation | |
| Combining Binary Classifiers for Automatic Cartilage | segmentation | in Knee MRI |
| Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image | segmentation | |
| Combining boundary and region features inside the combinatorial pyramid for topology-preserving perceptual image | segmentation | |
| Combining color and depth for enhanced image | segmentation | and retargeting |
| Combining Color Fractal with LBP Information for Flood | segmentation | in UAV-Based Images |
| Combining Color, Depth, and Motion for Video | segmentation | |
| Combining contrast saliency and region discontinuity for precise hand | segmentation | in projector-camera system |
| Combining Convolutional Neural Networks and Anatomical Shape-Based Priors for Cardiac | segmentation | |
| Combining Deep Semantic Edge and Object | segmentation | for Large-Scale Roof-Part Polygon Extraction from Ultrahigh-Resolution Aerial Imagery |
| Combining Deep Semantic | segmentation | Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery |
| Combining Deep Semantic | segmentation | Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery |
| Combining discriminative appearance and | segmentation | cues for articulated human pose estimation |
| Combining Edge Detection and Region | segmentation | for Lip Contour Extraction |
| Combining Gabor filter and FFT for fingerprint enhancement based on a regional adaption method and automatic | segmentation | |
| Combining graph-cut clustering with object-based stem detection for tree | segmentation | in highly dense airborne lidar point clouds |
| Combining Graph-cut Technique And Anatomical Knowledge For Automatic | segmentation | Of Lungs Affected By Diffuse Parenchymal Disease In Hrct Images |
| Combining Growcut and Temporal Correlation for IVUS Lumen | segmentation | |
| Combining image and global pixel distribution model for skin colour | segmentation | |
| Combining Implicit-Explicit View Correlation for Light Field Semantic | segmentation | |
| Combining intensity and motion for incremental | segmentation | and tracking over long image sequences |
| Combining Laplacian eigenmaps and vesselness filters for vessel | segmentation | in X-ray angiography |
| Combining learning-based intensity distributions with nonparametric shape priors for image | segmentation | |
| Combining Local and Global Features for Image | segmentation | Using Iterative Classification and Region Merging |
| Combining low-, high-level and empirical domain knowledge for automated | segmentation | of ultrasonic breast lesions |
| Combining low-level | segmentation | with relational classification |
| Combining luminance and edge based metrics for robust temporal video | segmentation | |
| Combining Motion and Contrast for | segmentation | |
| Combining motion | segmentation | with tracking for activity analysis |
| Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image | segmentation | |
| Combining Multiple Image | segmentation | s by Maximizing Expert Agreement |
| Combining Photogrammetric Computer Vision and Semantic | segmentation | for Fine-grained Understanding of Coral Reef Growth under Climate Change |
| Combining PropSeg and a convolutional neural network for automatic spinal cord | segmentation | in pediatric populations and patients with spinal cord injury |
| Combining Region and Edge Cues for Image | segmentation | in a Probabilistic Gaussian Mixture Framework |
| Combining | segmentation | Network and Nonsubsampled Contourlet Transform for Automatic Marine Raft Aquaculture Area Extraction from Sentinel-1 Images |
| Combining Self Training and Active Learning for Video | segmentation | |
| Combining shape prior and statistical features for active contour | segmentation | |
| Combining Shape Priors and MRF- | segmentation | |
| Combining Spectral and Texture Data in the | segmentation | of Remotely-Sensed Images |
| Combining Template Matching and Model Fitting for Human Body | segmentation | and Tracking with Applications to Sports Training |
| Combining Top-Down and Bottom-Up | segmentation | |
| Combining wavelets and watersheds for robust multiscale image | segmentation | |
| CoMFormer: Continual Learning in Semantic and Panoptic | segmentation | |
| Comment on Using the Uniformity Measure for Performance-Measure in Image | segmentation | |
| Commentary Paper on Textural | segmentation | of Sidescan Sonar Images Based on Gabor Filters Bank and Active Contours without Edges |
| Comments on Application of the Conditional Population-Mixture Model to Image | segmentation | |
| Comments on Geodesic Saliency of Watershed Contours and Hierarchical | segmentation | |
| Comments on Low Level Image | segmentation | : An Expert System |
| Comments on MoNuSAC2020: A Multi-Organ Nuclei | segmentation | and Classification Challenge |
| Common Framework for Curve Evolution, | segmentation | and Anisotropic Diffusion, A |
| Common Framework for Image | segmentation | , A |
| Commonality-parsing Network Across Shape and Appearance for Partially Supervised Instance | segmentation | |
| Community Detection for Hierarchical Image | segmentation | |
| Compact and Fast Underwater | segmentation | Network for Autonomous Underwater Vehicles |
| Compact Position-aware Attention Network for Image Semantic | segmentation | |
| Compact Watershed and Preemptive SLIC: On Improving Trade-offs of Superpixel | segmentation | Algorithms |
| Compactly Supported Radial Basis Functions Based Collocation Method for Level-Set Evolution in Image | segmentation | |
| comparative analysis of neural network methodologies for | segmentation | of magnetic resonance images, A |
| Comparative Evaluation of Algorithms for Fast Computation of Level Set PDEs with Applications to Motion | segmentation | , A |
| comparative evaluation of interactive | segmentation | algorithms, A |
| Comparative Performance Evaluation of | segmentation | Methods Based on Region Growing and Division |
| Comparative performance of texton based vascular tree | segmentation | in retinal images |
| Comparative Performance Study of Several Global Thresholding Techniques for | segmentation | , A |
| comparative study of deformable contour methods on medical image | segmentation | , A |
| Comparative Study of Different | segmentation | Approaches for Audio Track Indexing, A |
| Comparative Study of Different Spatial/ Spatial-Frequency Methods (Gabor Filters, Wavelets, Wavelets Packets) for Texture | segmentation | /Classification |
| comparative study of existing metrics for 3D-mesh | segmentation | evaluation, A |
| Comparative Study of Feature Descriptors for Mitochondria and Synapse | segmentation | , A |
| Comparative Study of HMM and BLSTM | segmentation | -Free Approaches for the Recognition of Handwritten Text-Lines |
| Comparative Study of Point Clouds Semantic | segmentation | Using Three Different Neural Networks on the Railway Station Dataset, A |
| Comparative Study of Real-Time Semantic | segmentation | for Autonomous Driving, A |
| Comparative Study of Robust | segmentation | Algorithms for Iris Verification System of High Reliability, A |
| Comparative Study of | segmentation | Methodologies for Magnetic Resonance Imaging, A |
| Comparative Study on Feature Selection for Retinal Vessel | segmentation | Using FABC, A |
| Comparative Study on Noise-Estimation-Based Fuzzy C-Means Clustering for Image | segmentation | |
| Comparative Validation of Graphical Models for Learning Tumor | segmentation | s from Noisy Manual Annotations |
| Comparing CNNs and Random Forests for Landsat Image | segmentation | Trained on a Large Proxy Land Cover Dataset |
| Comparing Interactive Image | segmentation | Models under Different Clicking Procedures |
| Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic | segmentation | |
| Comparing supervised and unsupervised multiresolution | segmentation | approaches for extracting buildings from very high resolution imagery |
| Comparing Threshold-Selection Methods for Image | segmentation | : Application to Defect Detection in Automated Visual Inspection Systems |
| Comparison and Evaluation of Different Techniques, | segmentation | Evaluation, Benchmarks |
| Comparison and Evaluation of Methods for Liver | segmentation | From CT Datasets |
| Comparison Between Immersion-Based and Toboggan-Based Watershed Image | segmentation | |
| Comparison between K mean and fuzzy C-mean methods for | segmentation | of near infrared fluorescent image for diagnosing prostate cancer |
| Comparison of 2D and 3D region-based deformable models and random walker methods for PET | segmentation | |
| Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal | segmentation | |
| Comparison of atlas-based | segmentation | of subcortical structures in magnetic resonance brain images |
| Comparison of Co- | segmentation | Methods for Wildlife Photo-identification |
| Comparison of colour transforms used in lip | segmentation | algorithms |
| Comparison of Concave Point Detection Methods for Overlapping Convex Objects | segmentation | |
| Comparison of Deep Learning Methods for Semantic | segmentation | of Coral Reef Survey Images, A |
| Comparison of Fast Level Set-Like Algorithms for Image | segmentation | in Fluorescence Microscopy, A |
| Comparison of Fused | segmentation | Algorithms for Iris Verification, A |
| Comparison of GWO-SVM and Random Forest Classifiers in a LevelSet based approach for Bladder wall | segmentation | and characterisation using MR images |
| Comparison of Image | segmentation | Algorithms, A |
| Comparison of level set models in image | segmentation | |
| Comparison of multi-label graph cuts method and Monte Carlo simulation with block-spin transformation for the piecewise constant Mumford-Shah | segmentation | model |
| Comparison of Multiscale Image Representations for Image | segmentation | , A |
| Comparison of Neuro-Fuzzy and Traditional Image | segmentation | Methods for Automated Detection of Buildings in Aerial Photos, A |
| Comparison of objective functions in CNN-based prostate magnetic resonance image | segmentation | |
| Comparison of Pixel and Subpixel Retinal Vessel Tree | segmentation | Using a Deformable Contour Model |
| Comparison of Region and Edge | segmentation | Approaches to Recognize Fish Oocytes in Histological Images |
| Comparison of | segmentation | accuracy for different LUTs applied to digital mammograms |
| Comparison of | segmentation | Algorithms for the Zebrafish Heart in Fluorescent Microscopy Images |
| Comparison of | segmentation | Methods Used for Bone Fracture Images |
| Comparison of Several Approaches for the | segmentation | of Texture Images |
| Comparison of Some | segmentation | Algorithms for Cytology, A |
| Comparison of some thresholding algorithms for text/background | segmentation | in difficult document images |
| Comparison of statistical models performance in case of | segmentation | using a small amount of training datasets |
| Comparison of the deep-learning-based automated | segmentation | methods for the head sectioned images of the virtual Korean human project |
| Comparison of the Rock Core Image | segmentation | Algorithm |
| Comparison of the | segmentation | Results of Two Carrier Tracking Loop Types and Analysis of Theoretical Influencing Factors |
| Comparison of Training Strategies for Convnets On Multiple Similar Datasets for Facade | segmentation | |
| Comparison of Two Algorithms for | segmentation | Using Edge Detection Techniques, A |
| Comparison of Unsupervised Algorithms for Vineyard Canopy | segmentation | from UAV Multispectral Images |
| Comparison Study of Two Energy Minimization Based Image | segmentation | Methods |
| Compassionately Conservative Balanced Cuts for Image | segmentation | |
| Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene | segmentation | |
| Compensation Learning in Semantic | segmentation | |
| Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image | segmentation | |
| competition in unsupervised color image | segmentation | , A |
| Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion | segmentation | |
| Complementarity-aware cross-modal feature fusion network for RGB-T semantic | segmentation | |
| complementary and contrastive network for stimulus | segmentation | and generalization, A |
| Complementary Bi-directional Feature Compression for Indoor 360° Semantic | segmentation | with Self-distillation |
| Complementary Patch for Weakly Supervised Semantic | segmentation | |
| Complementary texture and intensity gradient estimation and fusion for watershed | segmentation | |
| Complete & Label: A Domain Adaptation Approach to Semantic | segmentation | of LiDAR Point Clouds |
| complete automated algorithm for | segmentation | of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques, A |
| Complete | segmentation | Systems Based on Ohlander Technique |
| Complete System for Automatic Extraction of Left Ventricular Myocardium From CT Images Using Shape | segmentation | and Contour Evolution, A |
| complete system for garment | segmentation | and color classification, A |
| Completely automatic | segmentation | for breast ultrasound using multiple-domain features |
| Completely Convex Formulation of the Chan-Vese Image | segmentation | Model |
| Complex 3D shape recovery using hybrid geometric shape features in a hierarchical shape | segmentation | approach |
| Complex documents images | segmentation | based on steerable pyramid features |
| Complex Handwritten Page | segmentation | Using Contextual Models |
| Complex impulse noise removal from color images based on super pixel | segmentation | |
| Complex networks driven salient region detection based on superpixel | segmentation | |
| Complex Shadow-Boundary | segmentation | Using the Entry-Exit Method |
| Complex-Valued Fully Convolutional Networks for MIMO Radar Signal | segmentation | |
| Complexity awareness based feature adaptive co- | segmentation | |
| ComplexMix: Semi-Supervised Semantic | segmentation | Via Mask-Based Data Augmentation |
| Component Biologically Inspired Features with Moving | segmentation | for Age Estimation |
| Component-Based Handprint | segmentation | Using Adaptive Writing Style Model |
| Composed | segmentation | of Tubular Structures by an Anisotropic PDE Model |
| composite fingerprint | segmentation | based on Log-Gabor filter and orientation reliability, A |
| Composite of Features for Learning-Based Coronary Artery | segmentation | on Cardiac CT Angiography, A |
| Composite Statistical Inference for Semantic | segmentation | |
| Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic | segmentation | of Hyperspectral and Lidar Data |
| Compositional Exemplar-Based Model for Hair | segmentation | , A |
| Compositional Object Recognition, | segmentation | , and Tracking in Video |
| Compositional Semantic Mix for Domain Adaptation in Point Cloud | segmentation | |
| Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object | segmentation | |
| Compound Loss Function With Shape Aware Weight Map for Microscopy Cell | segmentation | , A |
| Compound Neural Network for Brain Tumor | segmentation | , A |
| Comprehensive Analysis of Weakly-Supervised Semantic | segmentation | in Different Image Domains, A |
| Comprehensive Multimodal | segmentation | in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models |
| comprehensive overview of methodologies and performance evaluation frameworks in 3D mesh | segmentation | , A |
| Comprehensive Review of Modern Object | segmentation | Approaches, A |
| comprehensive review: | segmentation | of MRI images: brain tumor, A |
| comprehensive survey of mostly textual document | segmentation | algorithms since 2008, A |
| Compressed Domain Video Object | segmentation | |
| compressed domain video object | segmentation | system, A |
| Compressed Video | segmentation | |
| Computation and Memory Efficient Image | segmentation | |
| Computation of Surface Geometry and | segmentation | Using Covariance Techniques |
| Computation Of Vesselness in CTA Images for Fast And Interactive Vessel | segmentation | |
| computational efficient external energy for active contour | segmentation | using edge propagation, A |
| Computational Evaluation of the Combination of Semi-Supervised and Active Learning for Histopathology Image | segmentation | with Missing Annotations |
| Computational Framework for | segmentation | and Grouping, A |
| Computational Geometry Approach to Automated Pulmonary Fissure | segmentation | in CT Examinations, A |
| Computational Imaging in 3D X-Ray Microscopy: Reconstruction, Image | segmentation | and Time-Evolved Experiments |
| Computational Model of Texture | segmentation | , A |
| Computational modeling of thoracic and abdominal anatomy using spatial relationships for image | segmentation | |
| Computational Techniques in the Visual | segmentation | of Static Scenes |
| computationally efficient evaluation environment for image | segmentation | , A |
| Computationally light forehead | segmentation | from thermal images |
| Computationally-Efficient Vision Transformer for Medical Image Semantic | segmentation | Via Dual Pseudo-Label Supervision |
| Computer aided brain tumor detection system using watershed | segmentation | techniques |
| Computer aided orthodontics treatment by virtual | segmentation | and adjustment |
| Computer Image | segmentation | : First Partitions Using Shared Near Neighbor Clustering |
| Computer Image | segmentation | : Structured Merge Strategies |
| Computer Vision, Pattern Recognition and Image Processing in Left Ventricle | segmentation | : The Last 50 Years |
| Computer Vision-Based Human Body | segmentation | and Posture Estimation |
| Computer-aided characterization of mammographic masses: Accuracy of mass | segmentation | and its effects on characterization |
| Computer-Aided Detection and | segmentation | of Objects on Medical Images |
| Computer-Aided Tumor | segmentation | from T2-Weighted MR Images of Patient-Derived Tumor Xenografts |
| Computer-assisted | segmentation | of brain tumor lesions from multi-sequence Magnetic Resonance Imaging using the Mumford-Shah model |
| Computerized radiographic mass detection. I. Lesion site selection by morphological enhancement and contextual | segmentation | |
| Computing Correspondence Based on Regions and Invariants without Feature Extraction and | segmentation | |
| Computing Exact Discrete Minimal Surfaces: Extending and Solving the Shortest Path Problem in 3D with Application to | segmentation | |
| Computing the ¿-Channel with Probabilistic | segmentation | for Image Colorization |
| Computing Valid P-Values for Image | segmentation | by Selective Inference |
| Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor | segmentation | of MR Images |
| Concealed object detection and | segmentation | over millimetric waves images |
| Concept for the | segmentation | of Individual Urban Trees From Dense Mls Point Clouds, A |
| Concept Mask: Large-Scale | segmentation | from Semantic Concepts |
| Concerning Bayesian Motion | segmentation | , Model Averaging, Matching and the Trifocal Tensor |
| Conciliating syntactic and semantic constraints for multi-phase and multi-channel region | segmentation | |
| Concrete CT Image | segmentation | Using Modified Metropolis Dynamics |
| Concurrent 3-D Motion | segmentation | and 3-D Interpretation of Temporal Sequences of Monocular Images |
| Concurrent Ischemic Lesion Age Estimation and | segmentation | of CT Brain Using a Transformer-Based Network |
| Concurrent | segmentation | and Recognition with Shape-Driven Fast Marching Methods |
| Concurrent | segmentation | of categorized objects from an image collection |
| Conditional Boundary Loss for Semantic | segmentation | |
| Conditional Convolutions for Instance | segmentation | |
| Conditional density learning via regression with application to deformable shape | segmentation | |
| Conditional Diffusion for Interactive | segmentation | |
| Conditional Generative Adversarial Network-Based Training Sample Set Improvement Model for the Semantic | segmentation | of High-Resolution Remote Sensing Images |
| Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic | segmentation | |
| Conditional random field for text | segmentation | from images with complex background |
| conditional random field-based model for joint sequence | segmentation | and classification, A |
| Conditional random fields for tubulin-microtubule | segmentation | in cryo-electron tomography |
| Conditional Random Fields Meet Deep Neural Networks for Semantic | segmentation | : Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction |
| Conditional Reconstruction for Open-Set Semantic | segmentation | |
| Conditions for | segmentation | of 2D Translations of 3D Objects |
| Conditions for | segmentation | of Motion with Affine Fundamental Matrix |
| CondNet: Conditional Classifier for Scene | segmentation | |
| ConeQuest: A Benchmark for Cone | segmentation | on Mars |
| Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image | segmentation | |
| Confidence-and-Refinement Adaptation Model for Cross-Domain Semantic | segmentation | |
| Confidence-Based Color Modeling for Online Video | segmentation | |
| Confidence-Enhanced Mutual Knowledge for Uncertain | segmentation | |
| Conflict-Based Cross-View Consistency for Semi-Supervised Semantic | segmentation | |
| Confocal microscopy | segmentation | using active contour based on alpha(alpha)-divergence |
| CONIC: Contour Optimized Non-Iterative Clustering Superpixel | segmentation | |
| Connected Filtering and | segmentation | Using Component Trees |
| Connected pattern | segmentation | and title grouping in newspaper images |
| Connected | segmentation | Tree: A joint representation of region layout and hierarchy |
| Connectedness of Random Walk | segmentation | |
| Connecting modalities: Semi-supervised | segmentation | and annotation of images using unaligned text corpora |
| Connectionist Approach for Gray Level Image | segmentation | , A |
| Connectionist Architectures in Low Level Image | segmentation | |
| connectionist classifier architecture applied to image | segmentation | , A |
| Connective | segmentation | |
| Connectivity Based Functional | segmentation | of the Brainstem |
| Connectivity-based local adaptive thresholding for carotid artery | segmentation | using MRA images |
| ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient | segmentation | |
| Consensual Iris | segmentation | Fusion |
| Consensus Model for Motion | segmentation | in Dynamic Scenes, A |
| Consensus Region Merging for Image | segmentation | |
| Consensus Synergizes With Memory: A Simple Approach for Anomaly | segmentation | in Urban Scenes |
| Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale | segmentation | Detectors for Land Cover Vegetation Images |
| Consensus-based clustering for document image | segmentation | |
| Consensus-Based Image | segmentation | via Topological Persistence |
| Conservative-Progressive Collaborative Learning for Semi-Supervised Semantic | segmentation | |
| Considerations Regarding the Minimum Spanning Tree Pyramid | segmentation | Method (Why Does it Always Find the Lady?) |
| Consistency and Diversity Induced Human Motion | segmentation | |
| Consistency Clustering: A Robust Algorithm for Group-wise Registration, | segmentation | and Automatic Atlas Construction in Diffusion MRI |
| Consistency of robust estimators in multi-structural visual data | segmentation | |
| Consistency Regularization for Unsupervised Domain Adaptation in Semantic | segmentation | |
| Consistency-Regularized Region-Growing Network for Semantic | segmentation | of Urban Scenes With Point-Level Annotations |
| Consistent Depth Video | segmentation | Using Adaptive Surface Models |
| Consistent Estimation of the Max-Flow Problem: Towards Unsupervised Image | segmentation | |
| Consistent Foreground Co- | segmentation | |
| Consistent | segmentation | Based Color Correction for Coarsely Registered Images |
| Consistent | segmentation | for Optical Flow Estimation |
| Consistent, Real-Time Image | segmentation | for Object Tracking, A |
| Constant quality rate-control for video encoding based on activity | segmentation | |
| Constrained Active Appearance Models for | segmentation | of Triplane Echocardiograms |
| Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and | segmentation | |
| Constrained Bidirectional Propagation and Stroke | segmentation | |
| Constrained Convolutional Neural Networks for Weakly Supervised | segmentation | |
| Constrained Deep Weak Supervision for Histopathology Image | segmentation | |
| Constrained Directed Graph Clustering and | segmentation | Propagation for Multiple Foregrounds Cosegmentation |
| Constrained Domain Adaptation for Image | segmentation | |
| Constrained Gaussian mixture model framework for automatic | segmentation | of MR brain images |
| Constrained image | segmentation | from hierarchical boundaries |
| Constrained parametric min-cuts for automatic object | segmentation | |
| constrained region growing approach based on watershed for the | segmentation | of low contrast structures in bone micro-CT images, A |
| Constrained Region-Based | segmentation | of Pleural Effusion in Thin-Slice CT |
| Constrained Region-Growing and Edge Enhancement Towards Automated Semantic Video Object | segmentation | |
| Constrained Surface Evolutions for Prostate and Bladder | segmentation | in CT Images |
| Constraint Directed Learning for Unsupervised Image Sequence | segmentation | |
| Constraint Satisfaction Neural Networks for Image | segmentation | |
| Constrast based color | segmentation | with adaptive thresholds |
| Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic | segmentation | : A Non-Adversarial Approach |
| Construction of a Semantic | segmentation | Network for the Overhead Catenary System Point Cloud Based on Multi-Scale Feature Fusion |
| Construction of an abdominal probabilistic atlas and its application in | segmentation | |
| Contagion-Based Image | segmentation | and Labeling |
| Content Adaptive Image Matching by Color-Entropy | segmentation | and Inpainting |
| Content Based Access to Video Objects: Temporal | segmentation | , Visual Summary, and Feature Extraction |
| Content-Adaptive Superpixel | segmentation | |
| Content-Adaptive Superpixel | segmentation | Via Image Transformation |
| Content-Aware Multi-Level Guidance for Interactive Instance | segmentation | |
| Content-aware Token Sharing for Efficient Semantic | segmentation | with Vision Transformers |
| Content-based Propagation of User Markings for Interactive | segmentation | of Patterned Images |
| Content-Based Superpixel | segmentation | and Matching Using Its Region Feature Descriptors |
| Content-Based Video | segmentation | using Statistical Motion Models |
| Content-consistent Matching for Domain Adaptive Semantic | segmentation | |
| Content-sensitive superpixel | segmentation | via self-organization-map neural network |
| Context and Apparent Features Aggregation Network for Semantic | segmentation | |
| Context Contrasted Feature and Gated Multi-scale Aggregation for Scene | segmentation | |
| Context Decoupling Augmentation for Weakly Supervised Semantic | segmentation | |
| Context Driven Chinese String | segmentation | and Recognition |
| Context Driven Text | segmentation | and Recognition |
| Context Encoding for Semantic | segmentation | |
| Context from within: Hierarchical context modeling for semantic | segmentation | |
| Context Label Learning: Improving Background Class Representations in Semantic | segmentation | |
| Context Prior for Scene | segmentation | |
| Context Propagation from Proposals for Semantic Video Object | segmentation | |
| Context-Adaptive Pansharpening Based on Binary Partition Tree | segmentation | |
| Context-Adaptive Pansharpening Based on Image | segmentation | |
| Context-Aware 3D Point Cloud Semantic | segmentation | With Plane Guidance |
| Context-aware Deformable Alignment for Video Object | segmentation | |
| Context-Aware Domain Adaptation in Semantic | segmentation | |
| Context-Aware Interaction Network for RGB-T Semantic | segmentation | |
| Context-Aware Mixup for Domain Adaptive Semantic | segmentation | |
| Context-Aware Relative Object Queries to Unify Video Instance and Panoptic | segmentation | |
| Context-Aware Spatio-Recurrent Curvilinear Structure | segmentation | |
| Context-based energy estimator: Application to object | segmentation | on the tree of shapes |
| Context-Based Hierarchical Unequal Merging for SAR Image | segmentation | |
| Context-Based Network For Referring Image | segmentation | , A |
| Context-Based | segmentation | of Image Sequences |
| Context-dependent | segmentation | and matching in image databases |
| Context-Directed | segmentation | Algorithm for Handwritten Numeral Strings |
| Context-Enabled Extraction of Large-Scale Urban Functional Zones from Very-High-Resolution Images: A Multiscale | segmentation | Approach |
| Context-Reinforced Semantic | segmentation | |
| Contextual deconvolution network for semantic | segmentation | |
| Contextual ensemble network for semantic | segmentation | |
| Contextual information enhanced convolutional neural networks for retinal vessel | segmentation | in color fundus images |
| Contextual information extraction in brain tumour | segmentation | |
| Contextual smoothing of image | segmentation | |
| Contextual-relation Consistent Domain Adaptation for Semantic | segmentation | |
| Contiguity-constrained hierarchical clustering for image | segmentation | |
| Contiguous Patch | segmentation | in Pointclouds |
| Continual atlas-based | segmentation | of prostate MRI |
| Continual Attentive Fusion for Incremental Learning in Semantic | segmentation | |
| Continual BatchNorm Adaptation (CBNA) for Semantic | segmentation | |
| Continual coarse-to-fine domain adaptation in semantic | segmentation | |
| Continual Hippocampus | segmentation | with Transformers |
| Continual Learning for LiDAR Semantic | segmentation | : Class-Incremental and Coarse-to-Fine strategies on Sparse Data |
| Continual Nuclei | segmentation | via Prototype-Wise Relation Distillation and Contrastive Learning |
| Continual Segment: Towards a Single, Unified and Non-forgetting Continual | segmentation | Model of 143 Whole-body Organs in CT Scans |
| Continual Semantic | segmentation | via Repulsion-Attraction of Sparse and Disentangled Latent Representations |
| Continual Semantic | segmentation | via Structure Preserving and Projected Feature Alignment |
| Continual Semantic | segmentation | with Automatic Memory Sample Selection |
| Continuous Action Recognition and | segmentation | in Untrimmed Videos |
| Continuous action | segmentation | and recognition using hybrid convolutional neural network-hidden Markov model model |
| Continuous Adaptation for Interactive Object | segmentation | by Learning from Corrections |
| Continuous Adaptation for Interactive | segmentation | Using Teacher-Student Architecture |
| Continuous approach to | segmentation | of handwritten text |
| Continuous conditional random field convolution for point cloud | segmentation | |
| Continuous Copy-Paste for One-stage Multi-object Tracking and | segmentation | |
| Continuous Gesture | segmentation | and Recognition Using 3DCNN and Convolutional LSTM |
| Continuous graph cuts for prior-based object | segmentation | |
| Continuous Hand Gesture | segmentation | and Co-articulation Detection |
| Continuous Label Bayesian | segmentation | , Applications to Medical Brain Images |
| Continuous Pseudo-Label Rectified Domain Adaptive Semantic | segmentation | with Implicit Neural Representations |
| Continuous Random Walk Model With Explicit Coherence Regularization for Image | segmentation | , A |
| Continuous Retrieval of Video Using | segmentation | -free Query |
| Contour and Texture Analysis for Image | segmentation | |
| contour code feature based | segmentation | for handwriting recognition, A |
| Contour Completion Without Region | segmentation | |
| Contour continuity in region-based image | segmentation | |
| Contour Correction Liver Cancer CT Image | segmentation | Method Based on Snake Model |
| Contour deformation network for instance | segmentation | |
| Contour Detection and Hierarchical Image | segmentation | |
| Contour evolution scheme for variational image | segmentation | and smoothing |
| Contour Flow: Middle-Level Motion Estimation by Combining Motion | segmentation | and Contour Alignment |
| Contour loss for instance | segmentation | via k-step distance transformation image |
| Contour | segmentation | in 2D ultrasound medical images with particle filtering |
| Contour | segmentation | using Hough transform |
| Contour | segmentation | with recurrent neural networks of pulse-coding neurons |
| Contour Transformer Network for One-Shot | segmentation | of Anatomical Structures |
| Contour-Assisted Long-Range Perceptual Network for Camouflaged Instance | segmentation | |
| Contour-Aware Equipotential Learning for Semantic | segmentation | |
| Contour-Aware Loss: Boundary-Aware Learning for Salient Object | segmentation | |
| Contour-based joint clustering of multiple | segmentation | s |
| Contour-based | segmentation | and coding for depth map compression |
| Contour-Driven Atlas-Based | segmentation | |
| Contour-enhanced attention CNN for CT-based COVID-19 | segmentation | |
| Contracting Curve Density Algorithm and its Application to Model-based Image | segmentation | , The |
| contrario hierarchical image | segmentation | , A |
| Contrario Selection of Optimal Partitions for Image | segmentation | , A |
| Contrast Constrained Local Binary Fitting for Image | segmentation | |
| Contrast Driven Elastica for Image | segmentation | |
| Contrast enhancement by multi-level histogram shape | segmentation | with adaptive detail enhancement for noise suppression |
| Contrast Enhancement by Top-Hat and Bottom-Hat Transform with Optimal Structuring Element: Application to Retinal Vessel | segmentation | |
| Contrast normalization steps for increased sensitivity of a retinal image | segmentation | method |
| Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic | segmentation | |
| Contrast-Based Color Image | segmentation | |
| Contrastive and Selective Hidden Embeddings for Medical Image | segmentation | |
| Contrastive Boundary Learning for Point Cloud | segmentation | |
| Contrastive Distillation Approach for Incremental Semantic | segmentation | in Aerial Images, A |
| Contrastive Grouping with Transformer for Referring Image | segmentation | |
| Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image | segmentation | |
| Contrastive Learning for Label Efficient Semantic | segmentation | |
| Contrastive Model Adaptation for Cross-Condition Robustness in Semantic | segmentation | |
| Contrastive Semi-Supervised Learning for Domain Adaptive | segmentation | Across Similar Anatomical Structures |
| Contribution to the colour | segmentation | by means of an algorithm which reduces the CCDs saturation problems |
| Control Free, Low-Level Image | segmentation | : Theory, Architecture, and Experimentation |
| Controllable Facial Micro-Element Synthesis using | segmentation | Maps |
| Controllable Fused Semantic | segmentation | with Adaptive Edge Loss for Remote Sensing Parsing |
| Controlling the | segmentation | Parameters by Case-based Reasoning |
| Convergence analysis of active contours in image | segmentation | |
| Convergence Rate Comparison of Proximal Algorithms for Non-Smooth Convex Optimization With an Application to Texture | segmentation | |
| Convergent heterogeneous particle swarm optimisation algorithm for multilevel image thresholding | segmentation | |
| Conversion into Three-Dimensional Implicit Surface Representation from Topological Active Volumes Based | segmentation | |
| Convex Active Contour Region-Based Model for Image | segmentation | , A |
| Convex Approach to K-Means Clustering and Image | segmentation | , A |
| Convex Color Image | segmentation | with Optimal Transport Distances |
| convex framework for image | segmentation | with moment constraints, A |
| Convex Geodesic Selective Model for Image | segmentation | , A |
| Convex Histogram-Based Joint Image | segmentation | with Regularized Optimal Transport Cost |
| Convex Image | segmentation | : Extending Graph Cuts and Closed-Form Matting, A |
| Convex multi-region probabilistic | segmentation | with shape prior in the isometric log-ratio transformation space |
| Convex multi-region | segmentation | on manifolds |
| convex neighbor-constrained active contour model for image | segmentation | , A |
| Convex Non-Convex | segmentation | over Surfaces |
| Convex relaxation for image | segmentation | by kernel mapping |
| Convex Shape Prior for Multi-Object | segmentation | Using a Single Level Set Function |
| Convex Variational Methods on Graphs for Multiclass | segmentation | of High-Dimensional Data and Point Clouds |
| Convex-Relaxed Kernel Mapping for Image | segmentation | |
| Convexity Shape Constraints for Image | segmentation | |
| Convexity Shape Prior for Binary | segmentation | |
| Convexity Shape Prior for Level Set-Based Image | segmentation | Method |
| Convexity Shape Prior for | segmentation | |
| Convolution operations for relief-pattern retrieval, | segmentation | and classification on mesh manifolds |
| Convolutional Decision Trees for Feature Learning and | segmentation | |
| Convolutional encoderdecoder networks for pixel-wise ear detection and | segmentation | |
| Convolutional feature masking for joint object and stuff | segmentation | |
| Convolutional gated recurrent networks for video | segmentation | |
| Convolutional Network For Semantic Facade | segmentation | And Interpretation, A |
| Convolutional Networks for Semantic Heads | segmentation | using Top-View Depth Data in Crowded Environment |
| Convolutional Neural Network Algorithms for Semantic | segmentation | of Volcanic Ash Plumes Using Visible Camera Imagery |
| Convolutional Neural Network for Pavement Surface Crack | segmentation | Using Residual Connections and Attention Gating, A |
| Convolutional neural network for smoke and fire semantic | segmentation | |
| Convolutional Neural Network-Based Method for Agriculture Plot | segmentation | in Remote Sensing Images |
| Convolutional Neural Networks for Object Detection and | segmentation | |
| Convolutional Neural Networks for | segmentation | and Object Detection of Human Semen |
| Convolutional Neural Networks for Semantic | segmentation | , CNN |
| Convolutional neural networks rarely learn shape for semantic | segmentation | |
| Convolutional Oriented Boundaries: From Image | segmentation | to High-Level Tasks |
| Convolutional Random Walk Networks for Semantic Image | segmentation | |
| Convolutional Scale Invariance for Semantic | segmentation | |
| Convolutional-Transformer Network for Crack | segmentation | with Boundary Awareness, A |
| Cooperation Between Level Set Techniques and Dense 3d Registration for the | segmentation | of Brain Structures |
| Cooperation of Boundary Attention and Negative Matrix L1 Regularization Loss Function for Polyp | segmentation | |
| Cooperation of the partial differential equation methods and the wavelet transform for the | segmentation | of multivalued images |
| Cooperative agents society organized as an irregular pyramid: A mammography | segmentation | application |
| Cooperative Framework for | segmentation | Using 2D Active Contours and 3D Hybrid Models as Applied to Branching Cylindrical Structures, A |
| Cooperative object search and | segmentation | in Internet images |
| Cooperative Object | segmentation | and Behavior Inference in Image Sequences |
| Cooperative Self-Training for Multi-Target Adaptive Semantic | segmentation | |
| Coral- | segmentation | : Training Dense Labeling Models with Sparse Ground Truth |
| Corneal Endothelial Cell | segmentation | by Classifier-Driven Merging of Oversegmented Images |
| Corner detection and curve | segmentation | by multiresolution chain-code linking |
| corner strength based Fingerprint | segmentation | algorithm with dynamic thresholding, A |
| Corner-based background | segmentation | using Adaptive Resonance Theory |
| Corona | segmentation | for nighttime brake light detection |
| Corrected Laplacians: Closer Cuts and | segmentation | with Shape Priors |
| Correction Of Line Drawings for Image | segmentation | In Leather Industry |
| Correction to | segmentation | of the Body and Lungs from Compton Scatter and Photopeak Window Data |
| Correlation Adaptive Subspace | segmentation | by Trace Lasso |
| Correlation-aware active learning for surgery video | segmentation | |
| Correspondence and | segmentation | of multiple rigid motions via epipolar geometry |
| Correspondence as energy-based | segmentation | |
| Corridor scissors: a semi-automatic | segmentation | tool employing minimum-cost circular paths |
| Corrigendum to Narrow band region-based active contours and surfaces for 2D and 3D | segmentation | |
| Cortex | segmentation | : A Fast Variational Geometric Approach |
| Cortical enhanced tissue | segmentation | of neonatal brain MR images acquired by a dedicated phased array coil |
| CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR | segmentation | |
| Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot | segmentation | |
| Cost-Effective Hidden Markov Model-Based Image | segmentation | |
| Cotemporal Multi-View Video | segmentation | |
| Counting of grapevine berries in images via semantic | segmentation | using convolutional neural networks |
| Coupled Dictionary Learning for Automatic Multi-Label Brain Tumor | segmentation | in Flair MRI images |
| Coupled ensemble graph cuts and object verification for animal | segmentation | from highly cluttered videos |
| Coupled Generative Adversarial Network for Continuous Fine-Grained Action | segmentation | |
| Coupled Geodesic Active Regions for Image | segmentation | : A Level Set Approach |
| Coupled Global Registration and | segmentation | Framework With Application to Magnetic Resonance Prostate Imagery, A |
| coupled implicit shape-based deformable model for | segmentation | of MR images, A |
| Coupled Level Set Framework for Bladder Wall | segmentation | With Application to MR Cystography, A |
| Coupled Mean Shift-Anisotropic Diffusion Approach for Document Image | segmentation | and Restoration, A |
| Coupled Minimization Problem for Medical Image | segmentation | with Priors, A |
| Coupled Nonparametric Shape and Moment-Based Intershape Pose Priors for Multiple Basal Ganglia Structure | segmentation | |
| Coupled PDE Model of Nonlinear Diffusion for Image Smoothing and | segmentation | , A |
| Coupled PDEs for Non-Rigid Registration and | segmentation | |
| Coupled region-edge shape priors for simultaneous localization and figure-ground | segmentation | |
| coupled schema of probabilistic atlas and statistical shape and appearance model for 3D prostate | segmentation | in MR images, A |
| coupled | segmentation | and registration framework for medical image analysis using robust point matching and active shape model, A |
| Coupled | segmentation | of nuclear and membrane-bound macromolecules through voting and multiphase level set |
| Coupled Shape Model | segmentation | in Pig Carcasses |
| Coupled Snakelet Model for Curled Textline | segmentation | of Camera-Captured Document Images |
| Coupled Snakelets for Curled Text-Line | segmentation | from Warped Document Images |
| Coupled Tuff-Bff Algorithm for Automatic 3D | segmentation | of Microglia, The |
| Coupling Convolutional Neural Networks and Hough Voting for Robust | segmentation | of Ultrasound Volumes |
| Coupling CRFs and Deformable Models for 3D Medical Image | segmentation | |
| Coupling Image Restoration and | segmentation | : A Generalized Linear Model/Bregman Perspective |
| Coupling Two-Stream RGB-D Semantic | segmentation | Network by Idempotent Mappings |
| Coupling video | segmentation | and action recognition |
| covariance adjustment method in compressed domain for noisy image | segmentation | , A |
| Covariance Attention for Semantic | segmentation | |
| Coverage | segmentation | based on linear unmixing and minimization of perimeter and boundary thickness |
| COVID-19 lung infection | segmentation | from chest CT images based on CAPA-ResUNet |
| COVSeg-NET: A deep convolution neural network for COVID-19 lung CT image | segmentation | |
| CP 2: Copy-Paste Contrastive Pretraining for Semantic | segmentation | |
| CPC-GSCT: Visual quality assessment for coloured point cloud based on geometric | segmentation | and colour transformation |
| CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic | segmentation | |
| CPFNet: Context Pyramid Fusion Network for Medical Image | segmentation | |
| CPGAN: Conditional patch-based generative adversarial network for retinal vessel | segmentation | |
| CPISNet: Delving into Consistent Proposals of Instance | segmentation | Network for High-Resolution Aerial Images |
| CPM: A Deformable Model for Shape Recovery and | segmentation | Based on Charged Particles |
| CPMC: Automatic Object | segmentation | Using Constrained Parametric Min-Cuts |
| CPP-Net: Context-Aware Polygon Proposal Network for Nucleus | segmentation | |
| CPS: 3D Compositional Part | segmentation | through Grasping |
| CPSeg: Finer-grained Image Semantic | segmentation | via Chain-of-Thought Language Prompting |
| CR-SSL: A closely related self-supervised learning based approach for improving breast ultrasound tumor | segmentation | |
| Crack | segmentation | by Leveraging Multiple Frames of Varying Illumination |
| Crack | segmentation | for Low-Resolution Images using Joint Learning with Super- Resolution |
| Crack | segmentation | on UAS-based Imagery using Transfer Learning |
| CrackFormer Network for Pavement Crack | segmentation | |
| Crackseg9k: A Collection and Benchmark for Crack | segmentation | Datasets and Frameworks |
| CrackW-Net: A Novel Pavement Crack Image | segmentation | Convolutional Neural Network |
| CRCNet: Few-Shot | segmentation | with Cross-Reference and Region-Global Conditional Networks |
| Creaseg: A free software for the evaluation of image | segmentation | algorithms based on level-set |
| Creating a Large-Scale Silver Corpus from Multiple Algorithmic | segmentation | s |
| CreativeSeg: Semantic | segmentation | of Creative Sketches |
| Credible Dual-Expert Learning for Weakly Supervised Semantic | segmentation | |
| CRF learning with CNN features for image | segmentation | |
| CRF-Based | segmentation | of Human Tear Meniscus Obtained with Optical Coherence Tomography |
| CRIM-FCHO: SAR Image Two-Stage | segmentation | With Multifeature Ensemble |
| CRIS: CLIP-Driven Referring Image | segmentation | |
| Criterion Based on Fourier Transform for | segmentation | of Connected Digits, A |
| critical analysis of the methods of evaluating MRI brain | segmentation | algorithms, A |
| Critical Assessment Of Object | segmentation | In Aerial Image Using Geo-Hausdorff Distance |
| Critical View of Pyramid | segmentation | Algorithms, A |
| CRNet: Cross-Reference Networks for Few-Shot | segmentation | |
| Crop Row | segmentation | and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-Dimensional Clustering Method |
| Cross Anisotropic Cost Volume Filtering for | segmentation | |
| Cross Attention Network for Semantic | segmentation | |
| Cross co-teaching for semi-supervised medical image | segmentation | |
| Cross Fusion Net: A Fast Semantic | segmentation | Network for Small-Scale Semantic Information Capturing in Aerial Scenes |
| Cross modality label fusion in multi-atlas | segmentation | |
| Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, | segmentation | -Based and Automatic Registration Algorithms, A |
| Cross-Aware Early Fusion With Stage-Divided Vision and Language Transformer Encoders for Referring Image | segmentation | |
| Cross-Class Bias Rectification for Point Cloud Few-Shot | segmentation | |
| Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance | segmentation | in Connectomics |
| Cross-Connected Networks for Multi-Task Learning of Detection and | segmentation | |
| Cross-Domain Complementary Learning Using Pose for Multi-Person Part | segmentation | |
| Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic | segmentation | |
| Cross-Domain Few-Shot Semantic | segmentation | |
| Cross-Domain Multi-Prototypes with Contradictory Structure Learning for Semi-Supervised Domain Adaptation | segmentation | of Remote Sensing Images |
| Cross-Domain Scene Unsupervised Learning | segmentation | With Dynamic Subdomains |
| Cross-Domain Semantic | segmentation | of Urban Scenes via Multi-Level Feature Alignment |
| Cross-Domain Semantic | segmentation | via Domain-Invariant Interactive Relation Transfer |
| Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight | segmentation | Model |
| Cross-Granularity Attention Network for Semantic | segmentation | |
| Cross-Image Dependency Modeling for Breast Ultrasound | segmentation | |
| Cross-Image Region Mining With Region Prototypical Network for Weakly Supervised | segmentation | |
| Cross-Image Relational Knowledge Distillation for Semantic | segmentation | |
| Cross-learning in analytic word recognition without | segmentation | |
| Cross-level Feature Aggregation Network for Polyp | segmentation | |
| Cross-Mix Monitoring for Medical Image | segmentation | With Limited Supervision |
| Cross-modal fusion encoder via graph neural network for referring image | segmentation | |
| Cross-Modal Learning for Domain Adaptation in 3D Semantic | segmentation | |
| Cross-Modal Progressive Comprehension for Referring | segmentation | |
| Cross-Modal Recurrent Semantic Comprehension for Referring Image | segmentation | |
| Cross-Modal Self-Attention Network for Referring Image | segmentation | |
| Cross-Modal Transformer for RGB-D semantic | segmentation | of production workshop objects |
| Cross-modality deep feature learning for brain tumor | segmentation | |
| Cross-Modality Learning Approach for Vessel | segmentation | in Retinal Images, A |
| Cross-patch Dense Contrastive Learning for Semi-supervised | segmentation | of Cellular Nuclei in Histopathologic Images |
| Cross-scene foreground | segmentation | with supervised and unsupervised model communication |
| Cross-Season Correspondence Dataset for Robust Semantic | segmentation | , A |
| Cross-View Regularization for Domain Adaptive Panoptic | segmentation | |
| Cross-view Transformers for real-time Map-view Semantic | segmentation | |
| Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor | segmentation | in CT Images |
| CrossFormer: Multi-scale cross-attention for polyp | segmentation | |
| Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image | segmentation | |
| CrossMatch: Source-Free Domain Adaptive Semantic | segmentation | via Cross-Modal Consistency Training |
| Crossover Learning for Fast Online Video Instance | segmentation | |
| Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image | segmentation | |
| Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic | segmentation | |
| Crowd counting and | segmentation | in visual surveillance |
| Crowd Counting via | segmentation | Guided Attention Networks and Curriculum Loss |
| Crowd counting with | segmentation | attention convolutional neural network |
| Crowd Detection/Recognition/ | segmentation | from UAV/Drone-Captured Images/Videos |
| Crowd Flow | segmentation | and Stability Analysis |
| Crowd flow | segmentation | in compressed domain using CRF |
| Crowd | segmentation | Through Emergent Labeling |
| Crowd semantic | segmentation | based on spatial-temporal dynamics |
| Crowdsourcing for Chromosome | segmentation | and Deep Classification |
| Crown | segmentation | From Computed Tomography Images With Metal Artifacts |
| CRSNet: Cloud and Cloud Shadow Refinement | segmentation | Networks for Remote Sensing Imagery |
| CRVOS: Clue Refining Network For Video Object | segmentation | |
| CS-net: Conv-simpleformer network for agricultural image | segmentation | |
| CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image | segmentation | |
| CSANet for Video Semantic | segmentation | With Inter-Frame Mutual Learning |
| CSANet: Cross-Scale Axial Attention Network for Road | segmentation | |
| CSS-Net: Classification and Substitution for | segmentation | of Rotator Cuff Tear |
| CT Image | segmentation | Using Structural Analysis |
| CT Male Pelvic Organ | segmentation | via Hybrid Loss Network With Incomplete Annotation |
| CT Prostate Deformable | segmentation | by Boundary Regression |
| CT-Based Automated Algorithm for Airway | segmentation | Using Freeze-and-Grow Propagation and Deep Learning, A |
| CT-UNet: An Improved Neural Network Based on U-Net for Building | segmentation | in Remote Sensing Images |
| CT-VOS: Cutout prediction and tagging for self-supervised video object | segmentation | |
| cTADA: The Design of a Crowdsourcing Tool for Online Food Image Identification and | segmentation | |
| CTDA: Contrastive Temporal Domain Adaptation for Action | segmentation | |
| CTex: An Adaptive Unsupervised | segmentation | Algorithm Based on Color-Texture Coherence |
| CTFuseNet: A Multi-Scale CNN-Transformer Feature Fused Network for Crop Type | segmentation | on UAV Remote Sensing Imagery |
| CTNet: Context-Based Tandem Network for Semantic | segmentation | |
| CTVIS: Consistent Training for Online Video Instance | segmentation | |
| Cu-net: Cascaded U-net with Loss Weighted Sampling for Brain Tumor | segmentation | |
| Cu-Net: Towards Continuous Multi-Class Contour Detection for Retinal Layer | segmentation | In OCT Images |
| Cubic-cross convolutional attention and count prior embedding for smoke | segmentation | |
| Cuboid Colour Image | segmentation | Using Intuitive Distance Measure |
| Cuboid | segmentation | for Effective Image Retrieval |
| Cue-Based | segmentation | of 4D Cardiac Image Sequences |
| CUformer: A Channel-wise Unet-based Transformer for Semantic | segmentation | of Remote Sensing |
| Current Progress and Challenges in Large-Scale 3D Mitochondria Instance | segmentation | |
| Curriculum Domain Adaptation Approach to the Semantic | segmentation | of Urban Scenes, A |
| Curriculum Domain Adaptation for Semantic | segmentation | of Urban Scenes |
| Curriculum Knowledge Switching for Pancreas | segmentation | |
| CurSeg: A pavement crack detector based on a deep hierarchical feature learning | segmentation | framework |
| Cursive Script, Historical Documents, Text Line | segmentation | , Script Line, Segmentation, Text Line Extraction |
| Cursive Script, Historical Documents, Text Line | segmentation | , Script Line, Segmentation, Text Line Extraction |
| Curvature estimation for | segmentation | of triangulated surfaces |
| Curvature Prior for MRF-based | segmentation | and Shape Inpainting |
| Curvature regularity for region-based image | segmentation | and inpainting: A linear programming relaxation |
| Curvature | segmentation | from Multiple Illumination Using a Photometric Invariant |
| Curvature-driven volumetric | segmentation | of binary shapes: An application to snow microstructure analysis |
| Curvature-Enhanced Random Walker | segmentation | Method for Detailed Capture of 3D Cell Surface Membranes, A |
| Curvature-Variation-Inspired Sampling for Point Cloud Classification and | segmentation | |
| Curve Evolution and | segmentation | Functionals: Application to Color Images |
| Curve Evolution Approach for Image | segmentation | Using Adaptive Flows, A |
| Curve Evolution Approach for Unsupervised | segmentation | of Images With Low Depth of Field, A |
| Curve Evolution Approach to Smoothing and | segmentation | Using the Mumford-Shah Functional, A |
| Curve evolution implementation of the Mumford-Shah functional for image | segmentation | , denoising, interpolation, and magnification |
| curve evolution-based variational approach to simultaneous image restoration and | segmentation | , A |
| Curve | segmentation | and Representation by Superellipses |
| Curve | segmentation | by continuous smoothing at multiple scales |
| Curve | segmentation | by Relaxation Labeling |
| Curve | segmentation | under Partial Occlusion |
| Curve/Surface Representation and Evolution Using Vector Level Sets with Application to the Shape-Based | segmentation | Problem |
| Curvelet transform based moving object | segmentation | |
| Curvelet-based geodesic snakes for image | segmentation | with multiple objects |
| CURVES: Curve evolution for vessel | segmentation | |
| CUS3D: A New Comprehensive Urban-Scale Semantic- | segmentation | 3D Benchmark Dataset |
| Cuscuta spp. | segmentation | Based on Unmanned Aerial Vehicles (UAVs) and Orthomasaics Using a U-Net Xception-Style Model |
| Customizable Architecture Search for Semantic | segmentation | |
| customized Gabor filter for unsupervised color image | segmentation | , A |
| Customized hough transform for robust | segmentation | of cervical vertebrae from X-ray images |
| Cut and Learn for Unsupervised Object Detection and Instance | segmentation | |
| Cut-Paste Consistency Learning for Semi-Supervised Lesion | segmentation | |
| Cutting-Plane Training of Non-associative Markov Network for 3D Point Cloud | segmentation | |
| CVABS: moving object | segmentation | with common vector approach for videos |
| CVT-Based 3D Image | segmentation | for Quality Tetrahedral Meshing |
| CXR | segmentation | by AdaIN-Based Domain Adaptation and Knowledge Distillation |
| CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in | segmentation | |
| Cycle and Self-Supervised Consistency Training for Adapting Semantic | segmentation | of Aerial Images |
| CycleMix: A Holistic Strategy for Medical Image | segmentation | from Scribble Supervision |
| CycleSegNet: Object Co- | segmentation | With Cycle Refinement and Region Correspondence |
| Cyclic Guidance for Weakly Supervised Joint Detection and | segmentation | |
| Cyclic Information-Interaction Model for Remote Sensing Image | segmentation | , A |
| Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance | segmentation | |
| CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image | segmentation | |
| Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR | segmentation | |
| Cylindrical Convolution Network for Dense Top-view Semantic | segmentation | with Lidar Point Clouds, A |
| cyto-Knet: An instance | segmentation | approach for multiple myeloma plasma cells using conditional kernels |
| Cytoplasm and nucleus | segmentation | in cervical smear images using Radiating GVF Snake |
| D-Clutter: Building object model library from unsupervised | segmentation | of cluttered scenes |
| D-ID-Net: Two-Stage Domain and Identity Learning for Identity-Preserving Image Generation From Semantic | segmentation | |
| D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion | segmentation | |
| D2-Net: Dual Disentanglement Network for Brain Tumor | segmentation | With Missing Modalities |
| D2ADA: Dynamic Density-Aware Active Domain Adaptation for Semantic | segmentation | |
| D2Conv3D: Dynamic Dilated Convolutions for Object | segmentation | in Videos |
| D2Det: Towards High Quality Object Detection and Instance | segmentation | |
| D3S: A Discriminative Single Shot | segmentation | Tracker |
| D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and | segmentation | |
| DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image | segmentation | |
| DA-SACOT: Domain adaptive- | segmentation | guided attention for correlation based object tracking |
| DA-Tran: Multiphase liver tumor | segmentation | with a domain-adaptive transformer network |
| dacl-challenge: Semantic | segmentation | during Visual Bridge Inspections |
| dacl10k: Benchmark for Semantic Bridge Damage | segmentation | |
| DADA: Depth-Aware Domain Adaptation in Semantic | segmentation | |
| DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic | segmentation | |
| DAGNet: Depth-aware Glass-like objects | segmentation | via cross-modal attention |
| Dahu graph-cut for interactive | segmentation | on 2D/3D images, The |
| DALES: A Large-scale Aerial LiDAR Data Set for Semantic | segmentation | |
| DaliWS: A High-Resolution Dataset with Precise Annotations for Water | segmentation | in Synthetic Aperture Radar Images |
| Dam Extraction from High-Resolution Satellite Images Combined with Location Based on Deep Transfer Learning and Post- | segmentation | with an Improved MBI |
| DAN: A | segmentation | -Free Document Attention Network for Handwritten Document Recognition |
| DAN: An Automatic | segmentation | and Classification Engine for Paper Documents |
| DANCE: A Deep Attentive Contour Model for Efficient Instance | segmentation | |
| DANet: Dual-Branch Activation Network for Small Object Instance | segmentation | of Ship Images |
| DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic | segmentation | |
| DArch: Dental Arch Prior-assisted 3D Tooth Instance | segmentation | with Weak Annotations |
| DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance | segmentation | in Biomedical Images |
| DARN: Deep Attentive Refinement Network for Liver Tumor | segmentation | from 3D CT volume |
| DARNet: Deep Active Ray Network for Building | segmentation | |
| DAT: Domain Adaptive Transformer for Domain Adaptive Semantic | segmentation | |
| Data Augmentation for Building Footprint | segmentation | in SAR Images: An Empirical Study |
| Data Augmentation Using Learned Transformations for One-Shot Medical Image | segmentation | |
| Data Augmented 3D Semantic Scene Completion with 2D | segmentation | Priors |
| Data Discernment for Affordable Training in Medical Image | segmentation | |
| Data Mining for Knowledge Discovery from Object-Based | segmentation | of VHR Remotely Sensed Imagery |
| Data Preparation Impact on Semantic | segmentation | of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks |
| Data | segmentation | of Stereo Images with Complicated Background |
| Data throughput and robustness studies in a new digital image watermarking technique based upon adaptive | segmentation | and space-frequency representation (WASSFR) |
| Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image | segmentation | , A |
| Data-Dependent Higher-Order Clique Selection for Artery-Vein | segmentation | by Energy Minimization |
| Data-Driven Approach for Automated Integrated Circuit | segmentation | of Scan Electron Microscopy Images, A |
| Data-Driven Brain MRI | segmentation | Supported on Edge Confidence and A Priori Tissue Information |
| Data-Driven Cortex | segmentation | in Reconstructed Fetal MRI by Using Structural Constraints |
| Data-Driven Deep Supervision for Medical Image | segmentation | |
| Data-Driven Feature Learning for Myocardial | segmentation | of CP-BOLD MRI |
| Data-driven hair | segmentation | with isomorphic manifold inference |
| Data-Driven Motion Pattern | segmentation | in a Crowded Environments |
| Data-driven Nonlinear Diffusion for Object | segmentation | |
| Data-efficient 3D instance | segmentation | by transferring knowledge from synthetic scans |
| Data-efficient Deep Learning Framework for | segmentation | and Classification of Histopathology Images, A |
| Database of Human Segmented Natural Images and its Application to Evaluating | segmentation | Algorithms and Measuring Ecological Statistics, A |
| Database of Human Segmented Natural Images and its Application to Evaluating | segmentation | Algorithms, A |
| Database-Guided | segmentation | of Anatomical Structures with Complex Appearance |
| Database-Guided Simultaneous Multi-slice 3D | segmentation | for Volumetric Data |
| Dataset and a Technique for Generalized Nuclear | segmentation | for Computational Pathology, A |
| Dataset for Lane Instance | segmentation | in Urban Environments, A |
| DAugNet: Unsupervised, Multisource, Multitarget, and Life-Long Domain Adaptation for Semantic | segmentation | of Satellite Images |
| DAVIS: Densely Annotated VIdeo | segmentation | |
| DB-TASNet for disease diagnosis and lesion | segmentation | in medical images |
| DCAM: Disturbed class activation maps for weakly supervised semantic | segmentation | |
| DCAN: Deep Contour-Aware Networks for Accurate Gland | segmentation | |
| DCCaps-UNet: A U-Shaped Hyperspectral Semantic | segmentation | Model Based on the Depthwise Separable and Conditional Convolution Capsule Network |
| DCELANM-Net: Medical image | segmentation | based on dual channel efficient layer aggregation network with learner |
| DCM: A Dense-Attention Context Module For Semantic | segmentation | |
| DCNAS: Densely Connected Neural Architecture Search for Semantic Image | segmentation | |
| DCNet: Large-Scale Point Cloud Semantic | segmentation | With Discriminative and Efficient Feature Aggregation |
| DCT based | segmentation | applied to a scalable zenithal people counter |
| DCT-Mask: Discrete Cosine Transform Mask Representation for Instance | segmentation | |
| Ddanet: Dual Decoder Attention Network for Automatic Polyp | segmentation | |
| DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma | segmentation | |
| DE-Net: Dilated Encoder Network for Automated Tongue | segmentation | |
| de-texturing and spatially constrained K-means approach for image | segmentation | , A |
| Dead Wood Detection Based On Semantic | segmentation | of VHR Aerial CIR Imagery Using Optimized Fcn-densenet |
| Dead-End Elimination as a Heuristic for Min-Cut Image | segmentation | |
| Deal: Difficulty-aware Active Learning for Semantic | segmentation | |
| Dealing with | segmentation | errors in region-based stereo matching |
| DEANet: Dual Encoder with Attention Network for Semantic | segmentation | of Remote Sensing Imagery |
| Decoders Matter for Semantic | segmentation | : Data-Dependent Decoding Enables Flexible Feature Aggregation |
| Decomposed Learning for Joint | segmentation | and Categorization |
| Decomposing time series with application to temporal | segmentation | |
| Decoupled Active Surface for Volumetric Image | segmentation | |
| Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly | segmentation | in expert-driven domains |
| Decoupled Spatial Neural Attention for Weakly Supervised Semantic | segmentation | |
| DecoupleNet: Decoupled Network for Domain Adaptive Semantic | segmentation | |
| Decoupling Fourier Components of Dynamic Image Sequences: A Theory of Signal Separation, Image | segmentation | , and Optical Flow Estimation |
| Decoupling multi-task causality for improved skin lesion | segmentation | and classification |
| Decoupling Multimodal Transformers for Referring Video Object | segmentation | |
| Decoupling Zero-Shot Semantic | segmentation | |
| Decreasing Time Consumption of Microscopy Image | segmentation | Through Parallel Processing on the GPU |
| Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion | segmentation | |
| Deep Active Learning for Fibrosis | segmentation | of Chest CT Scans from Covid-19 Patients |
| Deep Active Learning for Joint Classification | segmentation | with Weak Annotator |
| Deep Adversarial Network for Scene Independent Moving Object | segmentation | |
| Deep Adversarial Training for Multi-Organ Nuclei | segmentation | in Histopathology Images |
| Deep Approach for Volumetric Tractography | segmentation | , A |
| Deep Attentive Convolutional Neural Network for Automatic Cortical Plate | segmentation | in Fetal MRI, A |
| Deep Attentive Features for Prostate | segmentation | in 3D Transrectal Ultrasound |
| Deep Bilateral Filtering Network for Point-Supervised Semantic | segmentation | in Remote Sensing Images |
| Deep CNN with color lines model for unmarked road | segmentation | |
| Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection | segmentation | on CT images |
| Deep co-training for semi-supervised image | segmentation | |
| Deep Complementary Joint Model for Complex Scene Registration and Few-shot | segmentation | on Medical Images |
| Deep Context Modeling for Semantic | segmentation | |
| deep conventional neural network model for glioma tumor | segmentation | , A |
| Deep convolutional encoder-decoder for myelin and axon | segmentation | |
| Deep Convolutional Network-based Framework for Melanoma Lesion Detection and | segmentation | |
| Deep convolutional neural networks for automatic | segmentation | of left ventricle cavity from cardiac magnetic resonance images |
| deep data-driven approach for enhanced | segmentation | of blood vessel for diabetic retinopathy, A |
| Deep Decoupling of Defocus and Motion Blur for Dynamic | segmentation | |
| Deep Detection Network Based on Interaction of Instance | segmentation | and Object Detection for SAR Images, A |
| Deep detector classifier (DeepDC) for moving objects | segmentation | and classification in video surveillance |
| Deep Distance Transform for Tubular Structure | segmentation | in CT Scans |
| Deep Dual Learning for Semantic Image | segmentation | |
| Deep Dual-Modal Traffic Objects Instance | segmentation | Method Using Camera and LIDAR Data for Autonomous Driving |
| Deep Dual-Resolution Networks for Real-Time and Accurate Semantic | segmentation | of Traffic Scenes |
| Deep Dynamic Neural Networks for Gesture | segmentation | and Recognition |
| Deep Dynamic Neural Networks for Multimodal Gesture | segmentation | and Recognition |
| Deep Encoder-Decoder Network-Based Wildfire | segmentation | Using Drone Images in Real-Time |
| Deep Ensemble Learning Approach to Lung CT | segmentation | for Covid-19 Severity Assessment, A |
| Deep expectation-maximization network for unsupervised image | segmentation | and clustering |
| Deep Extreme Cut: From Extreme Points to Object | segmentation | |
| Deep filter banks for texture recognition and | segmentation | |
| Deep Filter Banks for Texture Recognition, Description, and | segmentation | |
| Deep Frequency Re-calibration U-Net for Medical Image | segmentation | |
| Deep Fusion of Appearance and Frame Differencing for Motion | segmentation | |
| Deep Fusionnet for Point Cloud Semantic | segmentation | |
| Deep gated attention networks for large-scale street-level scene | segmentation | |
| Deep Geodesic Learning for | segmentation | and Anatomical Landmarking |
| Deep hierarchical parsing for semantic | segmentation | |
| Deep Hierarchical Semantic | segmentation | |
| Deep Hybrid Compression Network for Lidar Point Cloud Classification and | segmentation | |
| Deep Image Prior Learning Algorithm for Joint Selective | segmentation | and Registration, A |
| deep image | segmentation | -based method for stitching ancient-book images without an overlapping region, A |
| Deep interactive image | segmentation | based on region and Boundary-click guidance |
| Deep Interpretable Classification and Weakly-Supervised | segmentation | of Histology Images via Max-Min Uncertainty |
| Deep leaf: Mask R-CNN based leaf detection and | segmentation | from digitized herbarium specimen images |
| Deep Learning Applied to Water | segmentation | |
| Deep Learning Approach for Automatic | segmentation | of Dirt on Cattle Skin using Image Data |
| Deep Learning Approach for Burned Area | segmentation | with Sentinel-2 Data, A |
| Deep learning approach for | segmentation | of plain carbon steel microstructure images |
| deep learning approach for the | segmentation | of myocardial diseases, A |
| Deep Learning Approach to Hair | segmentation | and Color Extraction from Facial Images, A |
| Deep Learning Approaches for Gynaecological Ultrasound Image | segmentation | : A Radio-Frequency vs B-mode Comparison |
| Deep Learning Approaches for Head and Operculum | segmentation | in Zebrafish Microscopy Images |
| Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and | segmentation | |
| Deep Learning Based Dimple | segmentation | for Quantitative Fractography |
| Deep Learning Based Fence | segmentation | and Removal from an Image Using a Video Sequence |
| Deep Learning Based Hand Detection in Cluttered Environment Using Skin | segmentation | |
| Deep Learning Based | segmentation | of Breast Lesions in DCE-MRI |
| Deep Learning Based Supervised Semantic | segmentation | of Electron Cryo-Subtomograms |
| Deep Learning for Landslide Detection and | segmentation | in High-Resolution Optical Images along the Sichuan-Tibet Transportation Corridor |
| Deep Learning for | segmentation | Using an Open Large-Scale Dataset in 2D Echocardiography |
| Deep Learning for Semantic | segmentation | of 3d Point Cloud |
| Deep Learning for Soil and Crop | segmentation | from Remotely Sensed Data |
| deep learning framework for glaucoma detection based on robust optic disc | segmentation | and transfer learning, A |
| Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway | segmentation | |
| Deep Learning Markov Random Field for Semantic | segmentation | |
| Deep Learning Methods for Semantic | segmentation | in Remote Sensing with Small Data: A Survey |
| Deep Learning Model for Skin Lesion | segmentation | : Fully Convolutional Network |
| Deep Learning Models for | segmentation | of Mobile-acquired Dermatological Images |
| Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion | segmentation | |
| Deep Learning on Sparse Manifolds for Faster Object | segmentation | |
| Deep Learning | segmentation | and 3D Reconstruction of Road Markings Using Multiview Aerial Imagery |
| Deep Learning | segmentation | and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net |
| Deep Learning | segmentation | of Optical Microscopy Images Improves 3-D Neuron Reconstruction |
| Deep Learning | segmentation | of Satellite Imagery Identifies Aquatic Vegetation Associated with Snail Intermediate Hosts of Schistosomiasis in Senegal, Africa |
| Deep Learning Semantic | segmentation | for Land Use and Land Cover Types Using Landsat 8 Imagery |
| Deep Learning Semantic | segmentation | -Based Approach for Field-Level Sorghum Panicle Counting, A |
| Deep Learning Shape Priors for Object | segmentation | |
| Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures | segmentation | and Diagnosis: Is the Problem Solved? |
| Deep Learning Versus Classic Methods for Multi-taxon Diatom | segmentation | |
| Deep learning-based approach to latent overlapped fingerprints mask | segmentation | |
| Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality | segmentation | |
| deep learning-based global and | segmentation | -based semantic feature fusion approach for indoor scene classification, A |
| Deep Learning-Based Instance | segmentation | Method of Litchi Canopy from UAV-Acquired Images |
| Deep learning-based panoptic | segmentation | : Recent advances and perspectives |
| Deep Learning-based Semantic | segmentation | for Touchless Fingerprint Recognition |
| Deep learning-based semantic | segmentation | of interphase cells and debris from metaphase images |
| Deep Learning-Based Semantic | segmentation | of Urban Features in Satellite Images: A Review and Meta-Analysis |
| Deep Learning-Enabled Road | segmentation | and Edge-Centerline Extraction from High-Resolution Remote Sensing Images |
| deep learning-shape driven level set synergism for pulmonary nodule | segmentation | , A |
| Deep Metric Learning for Open World Semantic | segmentation | |
| Deep Multi-Branch Aggregation Network for Real-Time Semantic | segmentation | in Street Scenes |
| Deep multi-feature learning architecture for water body | segmentation | from satellite images |
| Deep Multi-Modal Object Detection and Semantic | segmentation | for Autonomous Driving: Datasets, Methods, and Challenges |
| Deep multi-task learning for a geographically-regularized semantic | segmentation | of aerial images |
| Deep multimodal fusion for semantic image | segmentation | : A survey |
| Deep Multiresolution Cellular Communities for Semantic | segmentation | of Multi-Gigapixel Histology Images |
| Deep Multitask Learning Framework Coupling Semantic | segmentation | and Fully Convolutional LSTM Networks for Urban Change Detection, A |
| Deep Near Infrared Colorization with Semantic | segmentation | and Transfer Learning |
| Deep Neural Network for Oil Spill Semantic | segmentation | in Sar Images, A |
| Deep Neural Network for Vessel | segmentation | of Scanning Laser Ophthalmoscopy Images, A |
| Deep Neural Network Regression for Automated Retinal Layer | segmentation | in Optical Coherence Tomography Images |
| Deep Neural Network-Based Noisy Pixel Estimation for Breast Ultrasound | segmentation | |
| Deep neural networks for anatomical brain | segmentation | |
| Deep Neural Networks for Page Stream | segmentation | and Classification |
| Deep Object Co- | segmentation | |
| Deep Object Co- | segmentation | and Co-Saliency Detection via High-Order Spatial-Semantic Network Modulation |
| Deep Occlusion-Aware Instance | segmentation | with Overlapping BiLayers |
| Deep Polarization Cues for Transparent Object | segmentation | |
| Deep Projective 3D Semantic | segmentation | |
| Deep Q Learning Driven CT Pancreas | segmentation | With Geometry-Aware U-Net |
| Deep Q-CapsNet Reinforcement Learning Framework for Intrauterine Cavity | segmentation | in TTTS Fetal Surgery Planning |
| Deep Recognition-based Character | segmentation | in Handwritten Syriac Manuscripts |
| Deep Recurrent-Convolutional Model for Automated | segmentation | of Craniomaxillofacial CT Scans |
| deep reinforcement learning approach to character | segmentation | of license plate images, A |
| Deep Residual 3d U-net for Joint | segmentation | and Texture Classification of Nodules in Lung |
| Deep Residual Autoencoder with Multiscaling for Semantic | segmentation | of Land-Use Images |
| Deep residual coalesced convolutional network for efficient semantic road | segmentation | |
| Deep ResU-Net Convolutional Neural Networks | segmentation | for Smallholder Paddy Rice Mapping Using Sentinel 1 SAR and Sentinel 2 Optical Imagery |
| Deep Retinal Image | segmentation | With Regularization Under Geometric Priors |
| Deep | segmentation | networks using simple multi-layered graphical models |
| Deep Semantic Instance | segmentation | of Tree-Like Structures Using Synthetic Data |
| Deep Semantic | segmentation | for the Off-road Autonomous Driving |
| Deep Semantic | segmentation | of Center Pivot Irrigation Systems from Remotely Sensed Data |
| Deep Semantic | segmentation | Using NIR as Extra Physical Information |
| Deep Semi-Supervised Ultrasound Image | segmentation | by Using a Shadow Aware Network With Boundary Refinement |
| Deep Sequential | segmentation | of Organs in Volumetric Medical Scans |
| Deep Snake for Real-Time Instance | segmentation | |
| Deep Spatio-Temporal Random Fields for Efficient Video | segmentation | |
| Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic | segmentation | and Localization |
| Deep structured learning for mass | segmentation | from mammograms |
| Deep Superpixel Cut for Unsupervised Image | segmentation | |
| Deep Symmetric Adaptation Network for Cross-Modality Medical Image | segmentation | |
| deep symmetry convnet for stroke lesion | segmentation | , A |
| Deep Transport Network for Unsupervised Video Object | segmentation | |
| Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel | segmentation | |
| Deep Variational Model for Image | segmentation | , A |
| Deep Variational | segmentation | of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations |
| Deep Video Dehazing With Semantic | segmentation | |
| Deep Watershed Transform for Instance | segmentation | |
| Deep-aspects: A | segmentation | -assisted Model for Stroke Severity Measurement |
| Deep-Learning Architectures for Placenta Vessel | segmentation | in TTTS Fetoscopic Images |
| Deep-learning based | segmentation | of challenging myelin sheaths |
| Deep-learning for Tidemark | segmentation | in Human Osteochondral Tissues Imaged with Micro-computed Tomography |
| Deep-Separation Guided Progressive Reconstruction Network for Semantic | segmentation | of Remote Sensing Images |
| Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D | segmentation | |
| DeepCO3: Deep Instance Co- | segmentation | by Co-Peak Search and Co-Saliency Detection |
| DeepCut: Object | segmentation | From Bounding Box Annotations Using Convolutional Neural Networks |
| DeepCut: Unsupervised | segmentation | using Graph Neural Networks Clustering |
| DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, | segmentation | and Re-Identification of Clothing Images |
| DeepFH | segmentation | s for superpixel-based object proposal refinement |
| DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion | segmentation | |
| DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image | segmentation | |
| DeepJoint | segmentation | for the classification of severity-levels of glioma tumour using multimodal MRI images |
| DeepLab: Semantic Image | segmentation | with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs |
| DeepLabV3-Refiner-Based Semantic | segmentation | Model for Dense 3D Point Clouds |
| Deeply Optimized Hough Transform: Application to Action | segmentation | |
| Deeply Shape-guided Cascade for Instance | segmentation | |
| deeply supervised maximum response texton based SegNet for simultaneous multi retinal lesion | segmentation | , A |
| Deeply supervised U-Net for mass | segmentation | in digital mammograms |
| Deeply supervised vestibule | segmentation | network for CT images with global context-aware pyramid feature extraction |
| DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building | segmentation | in Satellite Imagery |
| DeepRoadNet: A deep residual based | segmentation | network for road map detection from remote aerial image |
| DeepScores-A Dataset for | segmentation | , Detection and Classification of Tiny Objects |
| DeepSegment: | segmentation | of motion capture data using deep convolutional neural network |
| Deepstroke: Understanding Glyph Structure with Semantic | segmentation | and Tabu Search |
| DeepWindows: Windows Instance | segmentation | through an Improved Mask R-CNN Using Spatial Attention and Relation Modules |
| Defect attention template generation cycleGAN for weakly supervised surface defect | segmentation | |
| Defect Detection Scheme of Pins for Aviation Connectors Based on Image | segmentation | and Improved RESNET-50 |
| Defending against Poisoning Attacks in Aerial Image Semantic | segmentation | with Robust Invariant Feature Enhancement |
| Defense against Adversarial Patch Attacks for Aerial Image Semantic | segmentation | by Robust Feature Extraction |
| Deforestation Detection in the Amazon Using DeepLabv3+ Semantic | segmentation | Model Variants |
| Deformable Constraint Transport Network for Optimal Aortic | segmentation | From CT Images, A |
| Deformable Contour Based Algorithm for | segmentation | of the Hippocampus from MRI |
| Deformable Fourier Surfaces for Volume | segmentation | in SPECT |
| Deformable M-Reps for 3D Medical Image | segmentation | |
| Deformable Model for Image | segmentation | in Noisy Medical Images, A |
| Deformable model guided by stochastic speed with application in cine images | segmentation | |
| Deformable Model-Based Image | segmentation | Algorithm for Shapes with Corners, A |
| Deformable Models for | segmentation | |
| Deformable Models for | segmentation | , 3D Shape and Motion Estimation and Recognition |
| Deformable MR Prostate | segmentation | via Deep Feature Learning and Sparse Patch Matching |
| Deformable Object | segmentation | and Contour Tracking in Image Sequences Using Unsupervised Networks |
| Deformable probability maps: Probabilistic shape and appearance-based object | segmentation | |
| Deformable | segmentation | of 3-D ultrasound prostate images using statistical texture matching method |
| Deformable Shape Priors in Chan-Vese | segmentation | of Image Sequences |
| Deformable triangular surfaces using fast 1-D radial Lagrangian dynamics- | segmentation | of 3-D MR and CT images of the wrist |
| Deformable-Model Based Textured Object | segmentation | |
| DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and | segmentation | of Images |
| Degraded Image Semantic | segmentation | With Dense-Gram Networks |
| Delaunay-Based Vector | segmentation | of Volumetric Medical Images |
| Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based | segmentation | Approaches |
| Delineation of Tree Patches in a Mangrove-Marsh Transition Zone by Watershed | segmentation | of Aerial Photographs |
| Delivering Arbitrary-Modal Semantic | segmentation | |
| DeLS-3D: Deep Localization and | segmentation | with a 3D Semantic Map |
| Delving Deep into Many-to-many Attention for Few-shot Video Object | segmentation | |
| Delving Deeper Into Mask Utilization in Video Object | segmentation | |
| Delving Deeper Into Pixel Prior for Box-Supervised Semantic | segmentation | |
| Delving deeper into the whorl of flower | segmentation | |
| Delving into High-Quality Synthetic Face Occlusion | segmentation | Datasets |
| Delving into Shape-aware Zero-shot Semantic | segmentation | |
| Delving into the whorl of flower | segmentation | |
| Delving into Universal Lesion | segmentation | : Method, Dataset, and Benchmark |
| Demonstration of | segmentation | with Interactive Graph Cuts |
| Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI | segmentation | , A |
| Denoising and | segmentation | of MR images using fourth order non-linear adaptive PDE and new convergent clustering |
| Denoising Pretraining for Semantic | segmentation | |
| Dense and Deformable Motion | segmentation | for Wide Baseline Images |
| Dense and shuffle attention U-Net for automatic skin lesion | segmentation | |
| Dense and Sparse Optic Flows Aggregation for Accurate Motion | segmentation | in Monocular Video Sequences |
| Dense Convolution for Semantic | segmentation | |
| Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot | segmentation | |
| Dense Decoder Shortcut Connections for Single-Pass Semantic | segmentation | |
| Dense Deconvolutional Network for Semantic | segmentation | |
| Dense Discontinuous Optical Flow via Contour-Based | segmentation | |
| Dense Disparity Estimation Method using Color | segmentation | and Energy Minimization, A |
| Dense Dual-path Network for Real-time Semantic | segmentation | |
| Dense Estimation and Object-Based | segmentation | of the Optical-Flow with Robust Techniques |
| Dense Feature Pyramid Network-Based Deep Learning Model for Road Marking Instance | segmentation | Using MLS Point Clouds, A |
| Dense Gaussian Processes for Few-Shot | segmentation | |
| Dense graph convolutional neural networks on 3D meshes for 3D object | segmentation | and classification |
| Dense In Dense: Training | segmentation | from Scratch |
| Dense Material | segmentation | Dataset for Indoor and Outdoor Scene Parsing, A |
| Dense motion | segmentation | of articulated objects in crowds |
| dense multi-scale context and asymmetric pooling embedding network for smoke | segmentation | , A |
| Dense multi-view homography estimation and plane | segmentation | |
| Dense optical flow based background subtraction technique for object | segmentation | in moving camera environment |
| Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic | segmentation | |
| Dense prediction for text line | segmentation | in handwritten document images |
| dense R-CNN multi-target instance | segmentation | model and its application in medical image processing, A |
| Dense Relation Network: Learning Consistent and Context-Aware Representation for Semantic Image | segmentation | |
| Dense | segmentation | -Aware Descriptors |
| Dense Semantic Image | segmentation | with Objects and Attributes |
| Dense spatio-temporal motion | segmentation | for tracking multiple self-occluding people |
| Dense Stereo Correspondence with Contrast Context Histogram, | segmentation | -Based Two-Pass Aggregation and Occlusion Handling |
| Dense-Gated U-Net for Brain Lesion | segmentation | , A |
| Dense-Resolution Network for Point Cloud Classification and | segmentation | |
| Dense-sparse representation matters: A point-based method for volumetric medical image | segmentation | |
| DenseASPP for Semantic | segmentation | in Street Scenes |
| DenseATT-Net: Densely-Connected Neural Network with Intensive Attention Modules for 3D ABUS Mass | segmentation | |
| Densely connected deconvolutional network for semantic | segmentation | |
| Densely connected deep U-Net for abdominal multi-organ | segmentation | |
| Densely connected graph convolutional network for joint semantic and instance | segmentation | of indoor point clouds |
| Densely Connected Large Kernel Convolutional Network for Semantic Membrane | segmentation | in Microscopy Images |
| Densely Connected Stacked U-network for Filament | segmentation | in Microscopy Images |
| Densely Connected Swin-UNet for Multiscale Information Aggregation in Medical Image | segmentation | |
| DenseUNet: densely connected UNet for electron microscopy image | segmentation | |
| Density-Based Clustering Method for Urban Scene Mobile Laser Scanning Data | segmentation | , A |
| Dental X-Ray Image | segmentation | and Object Detection Based on Phase Congruency |
| Depth and Video | segmentation | Based Visual Attention for Embodied Question Answering |
| Depth Assisted Object | segmentation | in Multi-View Video |
| Depth Data | segmentation | Using Robust Estimation in a Hierarchical Data Structure |
| Depth estimation based on multiview matching with depth/color | segmentation | and memory efficient Belief Propagation |
| Depth Estimation of Supervised Monocular Images Based on Semantic | segmentation | |
| Depth Interpolation via Smooth Surface | segmentation | Using Tangent Planes Based on the Superpixels of a Color Image |
| Depth is all you Need: Single-Stage Weakly Supervised Semantic | segmentation | From Image-Level Supervision |
| Depth Object | segmentation | , Point Cloud Segmentation |
| Depth Object | segmentation | , Point Cloud Segmentation |
| Depth | segmentation | in real-world scenes based on U-V disparity analysis |
| Depth-Adaptive Deep Neural Network for Semantic | segmentation | |
| Depth-adaptive supervoxels for RGB-D video | segmentation | |
| Depth-assisted RefineNet for Indoor Semantic | segmentation | |
| Depth-Aware CNN for RGB-D | segmentation | |
| Depth-Aware Mirror | segmentation | |
| Depth-aware object instance | segmentation | |
| Depth-Aware Salient Object Detection and | segmentation | via Multiscale Discriminative Saliency Fusion and Bootstrap Learning |
| Depth-based image registration via three-dimensional geometric | segmentation | |
| Depth-Based | segmentation | |
| Depth-Based Target | segmentation | for Intelligent Vehicles: Fusion of Radar and Binocular Stereo |
| Depth-supported real-time video | segmentation | with the Kinect |
| Depthwise Separable Temporal Convolutional Network for Action | segmentation | |
| Dermoscopic Image | segmentation | Through the Enhanced High-Level Parsing and Class Weighted Loss |
| Describing Reflectances for Color | segmentation | Robust to Shadows, Highlights, and Textures |
| Describing the scene as a whole: Joint object detection, scene classification and semantic | segmentation | |
| Design and Comparison of | segmentation | Driven and Recognition Driven Devanagari OCR |
| Design and formal proof of a new optimal image | segmentation | program with hypermaps |
| Design and Implementation of a Low-Level Image | segmentation | Architecture -- LISA |
| Design and perceptual validation of performance measures for salient object | segmentation | |
| Design considerations for image | segmentation | quality assessment measures |
| Design of Optimal Adaptive Filters for Two-Dimensional Filamentary Structures | segmentation | |
| Design of Statistical Measures for the Assessment of Image | segmentation | Schemes |
| Design of Wetland-Ecological Corridor Using Multi-Scale Remote Sensing Image | segmentation | Method |
| Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object | segmentation | |
| Designing a Hybrid Neural System to Learn Real-world Crack | segmentation | from Fractal-based Simulation |
| Designing Multiple Gabor Filters for Multi-Texture Image | segmentation | |
| DeSTSeg: | segmentation | Guided Denoising Student-Teacher for Anomaly Detection |
| Detachable Object Detection: | segmentation | and Depth Ordering from Short-Baseline Video |
| Detail preserving conditional random field as 2-D RNN for gland | segmentation | in histology images |
| Detail-enhanced target | segmentation | method for thermal video sequences based on spatiotemporal parameter update technique |
| Detail-Preserving Trajectory Summarization Based on | segmentation | and Group-Based Filtering |
| Detecting and Solving Template Ambiguities in Motion | segmentation | |
| Detecting Anomalies in Semantic | segmentation | with Prototypes |
| Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct | segmentation | Masks |
| Detecting Chest Compression Depth Using a Smartphone Camera and Motion | segmentation | |
| Detecting Land Degradation in Eastern China Grasslands with Time Series | segmentation | and Residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data |
| Detecting Major | segmentation | Errors for a Tracked Person Using Colour Feature Analysis |
| Detecting partially occluded objects via | segmentation | and validation |
| Detecting Underwater Discrete Scatterers in Echograms with Deep Learning-Based Semantic | segmentation | |
| Detecting Vegetation Change in the Pearl River Delta Region Based on Time Series | segmentation | and Residual Trend Analysis (TSS-RESTREND) and MODIS NDVI |
| Detection and correction of specular reflections for automatic surgical tool | segmentation | in thoracoscopic images |
| Detection and Restoration of Film Blotches Using Global Motion | segmentation | |
| Detection and Retrieval of Out-of-Distribution Objects in Semantic | segmentation | |
| Detection and | segmentation | of 2D Curved Reflection Symmetric Structures |
| Detection and | segmentation | of Antialiased Text in Screen Images |
| Detection and | segmentation | of Blobs in Infrared Images, The |
| Detection and | segmentation | of cancer regions in cervical images using fuzzy logic and adaptive neuro fuzzy inference system classification method |
| Detection and | segmentation | of cervical cell cytoplast and nucleus |
| Detection and | segmentation | of Clustered Objects by Using Iterative Classification, Segmentation, and Gaussian Mixture Models and Application to Wood Log Detection |
| Detection and | segmentation | of Clustered Objects by Using Iterative Classification, Segmentation, and Gaussian Mixture Models and Application to Wood Log Detection |
| Detection and | segmentation | of Colonic Polyps on Implicit Isosurfaces by Second Principal Curvature Flow |
| Detection and | segmentation | of Concealed Objects in Terahertz Images |
| Detection and | segmentation | of Feature Trajectories in Multiple, Discontinuous Motion Image Sequences |
| Detection and | segmentation | of generic shapes based on affine modeling of energy in Eigenspace |
| Detection and | segmentation | of Generic Shapes Based on Vectorial Affine Modeling of Energy in Eigenspace |
| Detection and | segmentation | of Independently Moving Objects from Dense Scene Flow |
| Detection and | segmentation | of Man-Made Objects in Outdoor Scenes: Concrete Bridges |
| Detection and | segmentation | of moving objects in complex scenes |
| Detection and | segmentation | of moving objects in highly dynamic scenes |
| Detection and | segmentation | of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses |
| Detection and | segmentation | of near-duplicate fragments in random images |
| Detection and | segmentation | of Quasi-Planar Surfaces Through Expectation Maximization Under a Planar Homography Constraint |
| Detection and | segmentation | of Small Trees in the Forest-Tundra Ecotone Using Airborne Laser Scanning |
| Detection and | segmentation | of sputum cell for early lung cancer detection |
| Detection and | segmentation | of sweeps in color graphics images |
| Detection and | segmentation | of Table of Contents and Index Pages from Document Images |
| Detection and | segmentation | of touching characters in mathematical expressions |
| Detection and | segmentation | of underwater CW-like signals in spectrum image under strong noise background |
| Detection and | segmentation | of Vine Canopy in Ultra-High Spatial Resolution RGB Imagery Obtained from Unmanned Aerial Vehicle (UAV): A Case Study in a Commercial Vineyard |
| Detection and tracking of coronal mass ejections based on supervised | segmentation | and level set |
| Detection of Benggang in Remote Sensing Imagery through Integration of | segmentation | Anything Model with Object-Based Classification |
| Detection of breast tumor candidates using marker-controlled watershed | segmentation | and morphological analysis |
| Detection of Diffuse and Specular Interface Reflections and Inter-Reflections by Color Image | segmentation | |
| Detection of highly articulated moving objects by using co- | segmentation | with application to athletic video sequences |
| Detection of matrices and | segmentation | of matrix elements in scanned images of scientific documents |
| Detection of microcalcifications clusters in mammograms through TS-MRF | segmentation | and SVM-based classification |
| Detection of Moving Cast Shadows for Object | segmentation | |
| Detection of small birds in large images by combining a deep detector with semantic | segmentation | |
| Detection of small objects from high-resolution panchromatic satellite imagery based on supervised image | segmentation | |
| Detection of Text Region and | segmentation | from Natural Scene Images |
| Detection of Visual Defects in Citrus Fruits: Multivariate Image Analysis vs Graph Image | segmentation | |
| Detection, | segmentation | and Characterization of Vegetation in High-Resolution Aerial Images for 3D City Modeling |
| Detection, | segmentation | and classification of 3D urban objects using mathematical morphology and supervised learning |
| Detection, | segmentation | , and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning |
| Detection, | segmentation | , and Tracking of Moving Objects in UAV Videos |
| Deterministic Annealing Framework for Unsupervised Texture | segmentation | , A |
| Deterministic pseudo-annealing: a new optimization scheme applied to texture | segmentation | |
| DETR-based Layered Clothing | segmentation | and Fine-Grained Attribute Recognition |
| DetSSeg: A Selective On-Field Pomegranate | segmentation | Approach |
| Devanagari OCR using a recognition driven | segmentation | framework and stochastic language models |
| Developer-friendly | segmentation | using OpenVL, a high-level task-based abstraction |
| Developing a multi-filter convolutional neural network for semantic | segmentation | using high-resolution aerial imagery and LiDAR data |
| Developing a | segmentation | Model for Microscopic Images of Microplastics Isolated from Clams |
| Developing an Efficient Region Growing Engine for Image | segmentation | |
| Development and evaluation of a deep learning model for real-time ground vehicle semantic | segmentation | from UAV-based thermal infrared imagery |
| Development of a Cascade Processing Method for Microarray Spot | segmentation | |
| Development of a Neuro-fuzzy MR Image | segmentation | Approach Using Fuzzy C-Means and Recurrent Neural Network |
| Development of an efficient neural-based | segmentation | technique for Arabic handwriting recognition |
| Devil Is in Classification: A Simple Framework for Long-tail Instance | segmentation | , The |
| Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance | segmentation | , The |
| Devil is in the Points: Weakly Semi-Supervised Instance | segmentation | via Point-Guided Mask Representation, The |
| Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image | segmentation | and Out-of-Distribution Localization |
| DeVOS: Flow-Guided Deformable Transformer for Video Object | segmentation | |
| DFANet: Deep Feature Aggregation for Real-Time Semantic | segmentation | |
| DFF-DEN: Deep Feature Flow with Detail Enhancement Network for Hand | segmentation | in Depth Video |
| DFFAN: Dual Function Feature Aggregation Network for Semantic | segmentation | of Land Cover |
| DGPolarNet: Dynamic Graph Convolution Network for LiDAR Point Cloud Semantic | segmentation | on Polar BEV |
| Di-phase midway convolution and deconvolution network for brain tumor | segmentation | in MRI images |
| Diagnosing skin cancer via C-means | segmentation | with enhanced fuzzy optimization |
| Diagnostically lossless compression of X-ray angiography images based on automatic | segmentation | using ray-casting and alpha-shapes |
| Diagonal Split: A Pre- | segmentation | Step for Page Layout Analysis and Classification, The |
| Dichromatic illumination estimation without pre- | segmentation | |
| Dictionary Based Image | segmentation | |
| Dictionary Based | segmentation | in Volumes |
| Dictionary learning based superpixels clustering for weakly-supervised semantic | segmentation | |
| Difference Field Estimation for Enhanced 3-D Texture | segmentation | |
| Differencing Operations for the | segmentation | of Moving Objects in Dynamic Scenes |
| Different Color Spaces In Deep Learning-Based Water | segmentation | For Autonomous Marine Operations |
| Differentiable Convolutional Distance Transform Layer for Improved Image | segmentation | , A |
| Differentiable Gaussian Prototype Layer for Explainable Fruit | segmentation | , A |
| Differential Dynamic Trees for Interactive Image | segmentation | |
| Differential Edit Distance: A Metric for Scene | segmentation | Evaluation |
| Differential Enhanced Siamese | segmentation | Network for Printed Label Defect Detection |
| Differential Evolution Based Variational Bayes Inference for Brain PET-CT Image | segmentation | |
| Differential Evolutionary Superpixel | segmentation | |
| Differential Feature Distribution Maps for Image | segmentation | and Region Queries in Image Databases |
| Differential Geometric Approach to Automated | segmentation | of Human Airway Tree, A |
| Differential Morphological Decomposition | segmentation | : A Multi-Scale Object Based Image Description |
| Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic | segmentation | |
| Differential-Processing Extraction Approach to Text and Image | segmentation | , A |
| DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic | segmentation | Using Diffusion Models |
| Diffusion Action | segmentation | |
| diffusion approach to seeded image | segmentation | , A |
| Diffusion Maps | segmentation | of Magnetic Resonance Q-Ball Imaging |
| Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic | segmentation | |
| Diffusion-based Regularisation Strategies for Variational Level Set | segmentation | |
| Diffusive likelihood for interactive image | segmentation | |
| DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic | segmentation | |
| Digital Curvature Evolution Model for Image | segmentation | |
| Digital diffusion network for image | segmentation | |
| Digital hair removal by deep learning for skin lesion | segmentation | |
| Digital Planar Surface | segmentation | Using Local Geometric Patterns |
| Digital Surface Model Extraction and Re nement through Image | segmentation | - Application to the ISPRS Benchmark Stereo Dataset |
| Digital Terrain From A Two-step | segmentation | And Outlier-based Algorithm |
| Dilated Convolutional Neural Networks for Cardiovascular MR | segmentation | in Congenital Heart Disease |
| Dilated | segmentation | Network with the Morphological Correction Method in Farming Area Image Series, A |
| DilatedSegNet: A Deep Dilated | segmentation | Network for Polyp Segmentation |
| DilatedSegNet: A Deep Dilated | segmentation | Network for Polyp Segmentation |
| DILRS: Domain-Incremental Learning for Semantic | segmentation | in Multi-Source Remote Sensing Data |
| Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image | segmentation | |
| DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image | segmentation | |
| DIOR: DIstill Observations to Representations for Multi-Object Tracking and | segmentation | |
| DIPNet: Dynamic Identity Propagation Network for Video Object | segmentation | |
| direct approach for word and character | segmentation | in run-length compressed documents with an application to word spotting, A |
| Direct Approach Toward Global Minimization for Multiphase Labeling and | segmentation | Problems, A |
| Direct Estimation of Appearance Models for | segmentation | |
| Direct Incremental Model Based Image Motion | segmentation | for Video Analysis |
| Direct least-squares estimation of spatiotemporal distributions from dynamic SPECT projections using a spatial | segmentation | and temporal B-splines |
| Direct MRI | segmentation | from k-Space Data by Iterative Potts Minimization |
| Direct Regression Scene Text Detector With Position-Sensitive | segmentation | , A |
| Direct | segmentation | of Multiple 2-D Motion Models of Different Types |
| Direct Way of Combining Texture and Color for Image | segmentation | , A |
| Directed Acyclic Graph Continuous Max-Flow Image | segmentation | for Unconstrained Label Orderings |
| Directed Connected Operators: Asymmetric Hierarchies for Image Filtering and | segmentation | |
| Directed Variational Cross-encoder Network for Few-shot Multi-image Co- | segmentation | |
| Direction-Based | segmentation | of Retinal Blood Vessels |
| Directional Adaptive Deformable Models For | segmentation | |
| Directional Anisotropic Diffusion Applied to | segmentation | of Vessels in 3D Images |
| Directional Connectivity-based | segmentation | of Medical Images |
| Directional Properties of Colour Co-occurrence Features for Lip Location and | segmentation | |
| Directional Vector-Based Skin Lesion | segmentation | : A Novel Approach to Skin Segmentation |
| Directional Vector-Based Skin Lesion | segmentation | : A Novel Approach to Skin Segmentation |
| Directionality-centric bus transit network | segmentation | for on-demand public transit |
| Directionally Convolutional Networks for 3D Shape | segmentation | |
| Dirichlet Gaussian mixture model: Application to image | segmentation | |
| Disassembling Convolutional | segmentation | Network |
| Disc | segmentation | and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina |
| Disclaimer: Relative fuzzy connectedness and object definition: theory, algorithms, and applications in image | segmentation | |
| DiscoBox: Weakly Supervised Instance | segmentation | and Semantic Correspondence from Box Supervision |
| Discovering Latent Classes for Semi-supervised Semantic | segmentation | |
| Discovery and | segmentation | of Activities in Video |
| discrepancy measure for | segmentation | evaluation from the perspective of object recognition, A |
| Discrete curvature calculation for fast level set | segmentation | |
| Discrete Deformable Boundaries for the | segmentation | of Multidimensional Images |
| Discrete image modelling for piecewise constant | segmentation | by artificial neural networks |
| discrete level set approach to image | segmentation | , A |
| Discrete Models for Energy-Minimizing | segmentation | |
| Discrete MRF Framework for Integrated Multi-Atlas Registration and | segmentation | , A |
| Discrete Multi Atlas | segmentation | using Agreement Constraints |
| discrete Reeb graph approach for the | segmentation | of human body scans, A |
| discrete region competition approach incorporating weak edge enhancement for ultrasound image | segmentation | , A |
| Discrete Surfaces | segmentation | into Discrete Planes |
| Discrete Topology Based Hierarchical | segmentation | for Efficient Object-Based Image Analyis: Application to Object Detection in High Resolution Satellite Images |
| Discrete-Continuous Gradient Orientation Estimation for Faster Image | segmentation | |
| Discrete-Time CNN for Image | segmentation | by Active Contours |
| Discriminant Analysis Based Level Set | segmentation | for Ultrasound Imaging |
| Discriminant Analysis Based Recursive Automatic Thresholding Approach for Image | segmentation | , A |
| Discriminative Clustering and Feature Selection for Brain MRI | segmentation | |
| Discriminative clustering for image co- | segmentation | |
| Discriminative dictionary learning for retinal vessel | segmentation | using fusion of multiple features |
| Discriminative human action | segmentation | and recognition using semi-Markov model |
| Discriminative Learning for Deformable Shape | segmentation | : A Comparative Study |
| Discriminative Learning of Markov Random Fields for | segmentation | of 3D Scan Data |
| Discriminative Method For Semi-Automated Tumorous Tissues | segmentation | of MR Brain Images, A |
| Discriminative Re-ranking of Diverse | segmentation | s |
| Discriminative | segmentation | -Based Evaluation Through Shape Dissimilarity |
| Discriminative Single-Shot | segmentation | Network for Visual Object Tracking, A |
| Discriminative vessel | segmentation | in retinal images by fusing context-aware hybrid features |
| Disentangle then Parse: Night-time Semantic | segmentation | with Illumination Disentanglement |
| Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image | segmentation | |
| Disentangled Representation Learning for OCTA Vessel | segmentation | With Limited Training Data |
| DISF: Dynamic Instance | segmentation | with Semantic Features |
| Dish Detection and | segmentation | for Dietary Assessment on Smartphones |
| Disjunctive Normal Parametric Level Set With Application to Image | segmentation | |
| disk expansion | segmentation | method for ultrasonic breast lesions, A |
| Disparity Based Image | segmentation | for Occupant Classification |
| Disparity dependent | segmentation | based stereo image coding |
| Disparity Filtering: Proximity Detection and | segmentation | |
| Disparity Refinement Algorithm for Satellite Remote Sensing Images Based on Mean-Shift Plane | segmentation | , A |
| Disparity/ | segmentation | Analysis: Matching with an Adaptive Window and Depth-Driven Segmentation |
| Disparity/ | segmentation | Analysis: Matching with an Adaptive Window and Depth-Driven Segmentation |
| Displacement Calculation of Heart Walls in ECG Sequences Using Level Set | segmentation | and B-Spline Free Form Deformations |
| Dissimilarity criteria and their comparison for quantitative evaluation of image | segmentation | : application to human retina vessels |
| Distance guided selection of the best base classifier in an ensemble with application to cervigram image | segmentation | |
| Distance Regularized Level Set Evolution and Its Application to Image | segmentation | |
| Distance transform regression for spatially-aware deep semantic | segmentation | |
| Distance-based Speed Functions for Level Set Methods in Image | segmentation | |
| Distance-Weighted Graph-Cut Method for the | segmentation | of Laser Point Clouds, A |
| Distancecut: Interactive | segmentation | and Matting of Images and Videos |
| Distantly Supervised Road | segmentation | |
| Distilling Facial Knowledge with Teacher-Tasks: Semantic- | segmentation | -Features For Pose-Invariant Face-Recognition |
| Distilling Part-whole Hierarchical Knowledge from a Huge Pretrained Class Agnostic | segmentation | Framework |
| Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification and | segmentation | |
| Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic | segmentation | |
| Distinguishing foreground and background alignment for unsupervised domain adaptative semantic | segmentation | |
| Distortion Map-Guided Feature Rectification for Efficient Video Semantic | segmentation | |
| Distributed and Collective Approach for Curved Object-Based Range Image | segmentation | , A |
| Distributed Autonomous Agents For Chinese Document Image | segmentation | |
| Distributed Iterative Gating Networks for Semantic | segmentation | |
| Distributed Local MRF Models for Tissue and Structure Brain | segmentation | |
| Distributed Low-Rank Subspace | segmentation | |
| Distributed Markovian | segmentation | : Application to MR brain scans |
| Distributed | segmentation | and classification of human actions using a wearable motion sensor network |
| Distribution regularized self-supervised learning for domain adaptation of semantic | segmentation | |
| Distribution-Aware Margin Calibration for Semantic | segmentation | in Images |
| Distribution-Based Active Contour Model for Medical Image | segmentation | |
| Distribution-based Level Set | segmentation | for Brain MR Images |
| Divergence of Gradient Convolution: Deformable | segmentation | With Arbitrary Initializations |
| Divide and Conquer: 3D Point Cloud Instance | segmentation | With Point-Wise Binarization |
| Divide and Segment Method for Parallel Image | segmentation | , The |
| DLA-Net: Learning Dual Local Attention Features for Semantic | segmentation | of Large-Scale Building Facade Point Clouds |
| DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack | segmentation | |
| DMAGNet: Dual-path multi-scale attention guided network for medical image | segmentation | |
| DMM-Net: Differentiable Mask-Matching Network for Video Object | segmentation | |
| DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell | segmentation | and Lineage Tracking |
| DNAS: Decoupling Neural Architecture Search for High-Resolution Remote Sensing Image Semantic | segmentation | |
| Do Game Data Generalize Well for Remote Sensing Image | segmentation | ? |
| Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial | segmentation | |
| Document Classification and Page Stream | segmentation | for Digital Mailroom Applications |
| Document Image Binarization With Feedback For Improving Character | segmentation | |
| Document Image | segmentation | and Layout Analysis |
| Document image | segmentation | and quality improvement by Moire pattern analysis |
| Document Image | segmentation | as a Spectral Partitioning Problem |
| Document Image | segmentation | System Using Analysis of Connected Components, A |
| Document Image | segmentation | Using a 2D Conditional Random Field Model |
| Document image | segmentation | using loose gray scale template matching |
| Document image | segmentation | using wavelet scale-space features |
| Document Layout, Document | segmentation | , Page Layout, Structure Analysis |
| Document Page | segmentation | and Layout Analysis Using Soft Ordering |
| Document Page | segmentation | using Multiscale Clustering |
| Document | segmentation | and classification into musical scores and text |
| Document | segmentation | and Coding Techniques |
| Document | segmentation | system |
| Document | segmentation | Using Pixel-Accurate Ground Truth |
| Document | segmentation | using polynomial spline wavelets |
| Document | segmentation | using Relative Location Features |
| Document | segmentation | using texture analysis |
| Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic | segmentation | |
| DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic | segmentation | |
| DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image | segmentation | on Unseen Datasets |
| Domain Adaptation for Automatic Aorta | segmentation | of 4D Flow Magnetic Resonance Imaging Data from Multiple Vendor Scanners |
| Domain Adaptation for Semantic | segmentation | of Historical Panchromatic Orthomosaics in Central Africa |
| Domain Adaptation for Semantic | segmentation | With Maximum Squares Loss |
| Domain Adaptation for Unknown Image Distortions in Instance | segmentation | |
| Domain Adaptation in Power Line | segmentation | : A New Synthetic Dataset |
| Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image | segmentation | |
| Domain Adaption for Semantic | segmentation | |
| Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image | segmentation | |
| Domain Adaptive Box-Supervised Instance | segmentation | Network for Mitosis Detection |
| Domain Adaptive Knowledge Distillation for Driving Scene Semantic | segmentation | |
| Domain Adaptive LiDAR Point Cloud | segmentation | With 3D Spatial Consistency |
| Domain Adaptive Semantic | segmentation | Through Structure Enhancement |
| Domain Adaptive Semantic | segmentation | Using Weak Labels |
| Domain Adaptive Semantic | segmentation | with Self-Supervised Depth Estimation |
| Domain Adaptive Transfer Attack-Based | segmentation | Networks for Building Extraction From Aerial Images |
| Domain Adaptive Video | segmentation | via Temporal Consistency Regularization |
| Domain Adaptive Video | segmentation | via Temporal Pseudo Supervision |
| Domain Adaptive Video Semantic | segmentation | via Cross-Domain Moving Object Mixing |
| Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image | segmentation | |
| Domain generalization of 3D semantic | segmentation | in autonomous driving |
| Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver | segmentation | |
| Domain-Agnostic Prior for Transfer Semantic | segmentation | |
| Domain-Incremental Cardiac Image | segmentation | With Style-Oriented Replay and Domain-Sensitive Feature Whitening |
| Dominant Set Based Data Clustering and Image | segmentation | |
| Dominant Sets for Constrained Image | segmentation | |
| DoNet: Deep De-Overlapping Network for Cytology Instance | segmentation | |
| DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic | segmentation | |
| Double Branch Parallel Network for | segmentation | of Buildings and Waters in Remote Sensing Images |
| Double Encoder-decoder Networks for Gastrointestinal Polyp | segmentation | |
| Double Gaussian mixture model for image | segmentation | with spatial relationships |
| Double random field models for remote sensing image | segmentation | |
| Double Similarity Distillation for Semantic Image | segmentation | |
| Double-weighted patch-based label fusion for MR brain image | segmentation | |
| Doubly Deformable Aggregation of Covariance Matrices for Few-Shot | segmentation | |
| Downstream Algorithm Based on Extended Gradient Vector Flow Field for Object | segmentation | , A |
| DPANet: Dual Pooling-aggregated Attention Network for fish | segmentation | |
| DRAN: Deep recurrent adversarial network for automated pancreas | segmentation | |
| DRBANET: A Lightweight Dual-Resolution Network for Semantic | segmentation | with Boundary Auxiliary |
| DRE-Net: A Dynamic Radius-Encoding Neural Network with an Incremental Training Strategy for Interactive | segmentation | of Remote Sensing Images |
| DREAM 2 S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video | segmentation | |
| DREM: Decoupled region energy model for image | segmentation | |
| DRINet for Medical Image | segmentation | |
| DRINet: A Dual-Representation Iterative Learning Network for Point Cloud | segmentation | |
| Drivable Dirt Road Region Identification Using Image and Point Cloud Semantic | segmentation | Fusion |
| Drive&Segment: Unsupervised Semantic | segmentation | of Urban Scenes via Cross-Modal Distillation |
| Driving Scene Perception Network: Real-Time Joint Detection, Depth Estimation and Semantic | segmentation | |
| DRNet: Double Recalibration Network for Few-Shot Semantic | segmentation | |
| Drone Image | segmentation | Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities |
| Drosophila eye nuclei | segmentation | based on graph cut and convex shape prior |
| DRs-UNet: A Deep Semantic | segmentation | Network for the Recognition of Active Landslides from InSAR Imagery in the Three Rivers Region of the Qinghai-Tibet Plateau |
| DRU-net: a novel U-net for biomedical image | segmentation | |
| DSANet: A Deep Supervision-Based Simple Attention Network for Efficient Semantic | segmentation | in Remote Sensing Imagery |
| DSI-Net: Deep Synergistic Interaction Network for Joint Classification and | segmentation | With Endoscope Images |
| DSLIC: A Superpixel Based | segmentation | Algorithm for Depth Image |
| DSSM: A Deep Neural Network with Spectrum Separable Module for Multi-Spectral Remote Sensing Image | segmentation | |
| DTI | segmentation | and Fiber Tracking Using Metrics on Multivariate Normal Distributions |
| DTI | segmentation | by Statistical Surface Evolution |
| DTI | segmentation | Using an Information Theoretic Tensor Dissimilarity Measure |
| DTI | segmentation | Using Anisotropy Preserving Quaternion Based Distance Measure |
| Dual active contours model for HR-pQCT cortical bone | segmentation | |
| Dual Adaptive Transformations for Weakly Supervised Point Cloud | segmentation | |
| Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image | segmentation | |
| Dual Attention Based Multi-scale Feature Fusion Network for Indoor RGBD Semantic | segmentation | |
| Dual Attention Feature Fusion and Adaptive Context for Accurate | segmentation | of Very High-Resolution Remote Sensing Images |
| Dual Attention Network for Scene | segmentation | |
| Dual Branch Multi-Level Semantic Learning for Few-Shot | segmentation | |
| dual channel and spatial attention network for automatic spine | segmentation | of MRI images, A |
| Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup | segmentation | With Dual Adaptive Graph Convolutional Networks |
| Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image | segmentation | |
| Dual Convolutional LSTM Network for Referring Image | segmentation | |
| Dual Convolutional Neural Networks for Breast Mass | segmentation | and Diagnosis in Mammography |
| Dual Correlation Network for Efficient Video Semantic | segmentation | |
| Dual Cross-Attention for Video Object | segmentation | via Uncertainty Refinement |
| Dual Embedding Learning for Video Instance | segmentation | |
| Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray | segmentation | |
| Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel | segmentation | |
| Dual encoding DDS-UNet liver tumour | segmentation | based on multi-scale deep and shallow feature fusion |
| Dual image and mask synthesis with GANs for semantic | segmentation | in optical coherence tomography |
| Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue | segmentation | Across the Human Lifespan |
| Dual Network for Super-Resolution and Semantic | segmentation | of Sentinel-2 Imagery, A |
| Dual Path Attention Net for Remote Sensing Semantic Image | segmentation | |
| Dual Path Learning for Domain Adaptation of Semantic | segmentation | |
| Dual Pyramids Encoder-decoder Network for Semantic | segmentation | In Ground and Aerial View Images |
| Dual Stream | segmentation | Network for Real-Time Semantic Segmentation |
| Dual Stream | segmentation | Network for Real-Time Semantic Segmentation |
| Dual Super-Resolution Learning for Semantic | segmentation | |
| Dual- and triple-stream RESUNET/UNET architectures for multi-modal liver | segmentation | |
| dual-attention V-network for pulmonary lobe | segmentation | in CT scans, A |
| Dual-Channel Semi-Supervised Adversarial Network for Building | segmentation | from UAV-Captured Images |
| Dual-Contrastive Dual-Consistency Dual-Transformer: A Semi-Supervised Approach to Medical Image | segmentation | |
| Dual-Decoding branch U-shaped semantic | segmentation | network combining Transformer attention with Decoder: DBUNet, A |
| Dual-Domain Image Synthesis using | segmentation | -Guided GAN |
| Dual-force convolutional neural networks for accurate brain tumor | segmentation | |
| Dual-level Interaction for Domain Adaptive Semantic | segmentation | |
| Dual-modality 3D brain PET-CT image | segmentation | based on probabilistic brain atlas and classification fusion |
| Dual-mode detection for foreground | segmentation | in low-contrast video images |
| Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image | segmentation | |
| Dual-Path and Lightweight Convolutional Neural Network for High-Resolution Aerial Image | segmentation | , A |
| Dual-Path Geometry-Aware Network for Semantic | segmentation | of High-Resolution Aerial Images |
| Dual-pathway DenseNets with fully lateral connections for multimodal brain tumor | segmentation | |
| Dual-Resolution Active Contours | segmentation | of Vickers Indentation Images with Shape Prior Initialization |
| Dual-Space Graph-Based Interaction Network for RGB-Thermal Semantic | segmentation | in Electric Power Scene |
| Dual-Stream Centerline-Guided Network for | segmentation | of the Common and Internal Carotid Arteries From 3D Ultrasound Images, A |
| Dual-T-Snakes model for medical imaging | segmentation | |
| Dual-Task ConvLSTM-UNet for Instance | segmentation | of Weakly Annotated Microscopy Videos |
| dual-task region-boundary aware neural network for accurate pulmonary nodule | segmentation | , A |
| Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac | segmentation | |
| DualRel: Semi-Supervised Mitochondria | segmentation | from A Prototype Perspective |
| DUPnet: Water Body | segmentation | with Dense Block and Multi-Scale Spatial Pyramid Pooling for Remote Sensing Images |
| DVIS: Decoupled Video Instance | segmentation | Framework |
| DyCo3D: Robust Instance | segmentation | of 3D Point Clouds through Dynamic Convolution |
| DynaMask: Dynamic Mask Selection for Instance | segmentation | |
| Dynamic Active Contour Model for Size Independent Blood Vessel Lumen | segmentation | and Quantification in High-Resolution Magnetic Resonance Images |
| Dynamic Analysis of Mangrove Forests Based on an Optimal | segmentation | Scale Model and Multi-Seasonal Images in Quanzhou Bay, China |
| Dynamic Aperture-based Solar Loop | segmentation | |
| Dynamic Atlas-Based | segmentation | and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease |
| Dynamic B-snake model for complex objects | segmentation | |
| Dynamic background estimation and complementary learning for pixel-wise foreground/background | segmentation | |
| Dynamic Bayesian Framework for Motion | segmentation | , A |
| Dynamic bi-modal fusion of images for the | segmentation | of pollen tubes in video |
| Dynamic Color Flow: A Motion-Adaptive Color Model for Object | segmentation | in Video |
| Dynamic Conditional Random Field Model for Foreground and Shadow | segmentation | , A |
| Dynamic Conditional Random Field Model for Object | segmentation | in Image Sequences, A |
| Dynamic contrastive learning guided by class confidence and confusion degree for medical image | segmentation | |
| Dynamic Convolution for 3D Point Cloud Instance | segmentation | |
| Dynamic Cross-Task Representation Adaptation for Clinical Targets Co- | segmentation | in CT Image-Guided Post-Prostatectomy Radiotherapy |
| Dynamic dense CRF inference for video | segmentation | and semantic SLAM |
| Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic | segmentation | |
| Dynamic Dual Sampling Module for Fine-Grained Semantic | segmentation | |
| Dynamic Effective Class Balanced Approach for Remote Sensing Imagery Semantic | segmentation | of Imbalanced Data, A |
| Dynamic Face Video | segmentation | via Reinforcement Learning |
| Dynamic Focus-aware Positional Queries for Semantic | segmentation | |
| Dynamic Harris Hawks Optimization with Mutation Mechanism for Satellite Image | segmentation | |
| Dynamic Hidden Markov Random Field Model for Foreground and Shadow | segmentation | , A |
| Dynamic Hierarchical | segmentation | of Remote Sensing Images |
| Dynamic Image | segmentation | Method Using Hierarchical Clustering |
| Dynamic learning from multiple examples for semantic object | segmentation | and search |
| Dynamic Measurement of Computer Generated Image | segmentation | s |
| Dynamic Multi-Scale Filters for Semantic | segmentation | |
| Dynamic Multicontext | segmentation | of Remote Sensing Images Based on Convolutional Networks |
| Dynamic Multimodal Instance | segmentation | Guided by Natural Language Queries |
| dynamic niching clustering algorithm based on individual-connectedness and its application to color image | segmentation | , A |
| Dynamic Point Cloud Compression Approach Using Hexahedron | segmentation | |
| Dynamic Post-Earthquake Image | segmentation | with an Adaptive Spectral-Spatial Descriptor |
| Dynamic programming framework for automatic video object | segmentation | and vision-assisted video pre-processing |
| Dynamic Programming Using Polar Variance for Image | segmentation | |
| Dynamic Projected | segmentation | Networks For Hand Pose Estimation |
| Dynamic Prototype Convolution Network for Few-Shot Semantic | segmentation | |
| Dynamic Random Walk for Superpixel | segmentation | |
| Dynamic Residual Filtering With Laplacian Pyramid for Instance | segmentation | |
| Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure | segmentation | |
| Dynamic Stroke | segmentation | Technique for Sketched Symbol Recognition, A |
| Dynamic Text Line | segmentation | for Real-Time Recognition of Chinese Handwritten Sentences |
| Dynamic texture detection, | segmentation | and analysis |
| Dynamic texture | segmentation | |
| Dynamic texture | segmentation | based on deterministic partially self-avoiding walks |
| Dynamic Textures | segmentation | with GPU |
| dynamic threshold approach for skin | segmentation | in color images, A |
| Dynamic Threshold | segmentation | Algorithm for Cucumber Identification in Greenhouse, A |
| Dynamic Token Pruning in Plain Vision Transformers for Semantic | segmentation | |
| Dynamic Token-Pass Transformers for Semantic | segmentation | |
| Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas | segmentation | |
| Dynamic Trees for Unsupervised | segmentation | and Matching of Image Regions |
| Dynamic Video | segmentation | Network |
| Dynamic video | segmentation | via a novel recursive Bayesian learning method |
| Dynamic Video | segmentation | via a Novel Recursive Kernel Density Estimation |
| Dynamic weight HiLo attention network for medical image multiple organ | segmentation | |
| dynamical model with adaptive pixel moving for microarray images | segmentation | , A |
| Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic | segmentation | |
| DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change | segmentation | |
| Dynamics Based Robust Motion | segmentation | |
| Dynamics Based Trajectory | segmentation | for UAV videos |
| Dynamics Enhanced Multi-camera Motion | segmentation | from Unsynchronized Videos |
| DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive | segmentation | Transformer |
| DyStaB: Unsupervised Object | segmentation | via Dynamic-Static Bootstrapping* |
| E-MPSPNet: Ice-Water SAR Scene | segmentation | Based on Multi-Scale Semantic Features and Edge Supervision |
| E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance | segmentation | |
| EA-UNet: A Macrophages Image | segmentation | Model Based on U-Net with External Attention |
| EACNet: Enhanced Asymmetric Convolution for Real-Time Semantic | segmentation | |
| EANET: Efficient Attention-Augmented Network for Real-Time Semantic | segmentation | |
| EANet: Iterative edge attention network for medical image | segmentation | |
| EANet: Multiscale autoencoder based edge attention network for fluid | segmentation | from SD-OCT images |
| EAR-NET: Error Attention Refining Network for Retinal Vessel | segmentation | |
| Early Detection of Encroaching Woody Juniperus Virginiana and Its Classification in Multi-Species Forest Using UAS Imagery and Semantic | segmentation | Algorithms |
| Early Hierarchical Contexts Learned by Convolutional Networks for Image | segmentation | |
| Easy-to-Use Object Selection by Color Space Projections and Watershed | segmentation | |
| EBSD image | segmentation | using a physics-based forward model |
| Echocardiogram videos: summarization, temporal | segmentation | and browsing |
| Echocardiographic Simulation for Validation of Automated | segmentation | Methods |
| Echocardiography image | segmentation | using semi-automatic numerical optimisation method based on wavelet decomposition thresholding |
| Echocardiography | segmentation | With Enforced Temporal Consistency |
| ECS-Net: Improving Weakly Supervised Semantic | segmentation | by Using Connections Between Class Activation Maps |
| ECSNet: An Accelerated Real-Time Image | segmentation | CNN Architecture for Pavement Crack Detection |
| ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc | segmentation | and Classification |
| EDAPS: Enhanced Domain-Adaptive Panoptic | segmentation | |
| Edge Adaptive Seeding for Superpixel | segmentation | |
| Edge Based | segmentation | and Texture Separation |
| Edge based | segmentation | for pedestrian detection using NIR camera |
| Edge Based | segmentation | of Left and Right Ventricles Using Two Distance Regularized Level Sets |
| Edge computing enabled video | segmentation | for real-time traffic monitoring in internet of vehicles |
| Edge Dependent Chinese Restaurant Process for Very High Resolution (VHR) Satellite Image Over- | segmentation | |
| Edge detection and texture | segmentation | based on independent component analysis |
| Edge Detection To Guide Range Image | segmentation | By Clustering Techniques |
| Edge Embedded Marker-Based Watershed Algorithm for High Spatial Resolution Remote Sensing Image | segmentation | , An |
| Edge Enhancement Technique for Image | segmentation | Based on Resistive Circuit Simulation, An |
| Edge Finding, | segmentation | of Edges and Recognition of Complex Industrial Parts |
| Edge Flow: A Framework of Boundary Detection and Image | segmentation | |
| Edge gradient feature and long distance dependency for image semantic | segmentation | |
| Edge Guided Context Aggregation Network for Semantic | segmentation | of Remote Sensing Imagery |
| Edge Intelligence Empowered Vehicle Detection and Image | segmentation | for Autonomous Vehicles |
| Edge model based | segmentation | |
| Edge of Depth: Explicit Constraints Between | segmentation | and Depth, The |
| Edge preserving spatially varying mixtures for image | segmentation | |
| Edge Steered Region | segmentation | by Photometric Color Invariant |
| Edge Strength Functions as Shape Priors in Image | segmentation | |
| Edge tracking for motion | segmentation | and depth ordering |
| Edge- and region-based | segmentation | technique for the extraction of large, man-made objects in high-resolution satellite imagery |
| Edge-adaptive Clustering for Unsupervised Image | segmentation | |
| Edge-adaptive image | segmentation | based on seam processing and K-Means clustering |
| Edge-Aware Convolution for RGB-D Image | segmentation | |
| Edge-aware depth image filtering using color | segmentation | |
| Edge-Aware Graph Matching Network for Part-Based Semantic | segmentation | |
| Edge-Aware Superpixel | segmentation | with Unsupervised Convolutional Neural Networks |
| Edge-based Image | segmentation | Using Curvature Sign Maps from Reflectance and Range Images |
| Edge-based | segmentation | of 3-D magnetic resonance images |
| Edge-based text localization and character | segmentation | algorithms for automatic slab information recognition |
| Edge-enhanced Instance | segmentation | of Wrist CT via a Semi-Automatic Annotation Database Construction Method |
| Edge-Guided Image Object Detection in Multiscale | segmentation | for High-Resolution Remotely Sensed Imagery |
| Edge-Guided Multiscale | segmentation | of Satellite Multispectral Imagery |
| Edge-Guided Output Adaptor: Highly Efficient Adaptation Module for Cross-Vendor Medical Image | segmentation | |
| Edge-Preserving Multilevel Method for Deblurring, Denoising, and | segmentation | , An |
| Edge-Preserving Smoothing and Mean-Shift | segmentation | of Video Streams |
| Edge-region integration for | segmentation | of MR images |
| Edge-region | segmentation | process based on generalized Voronoi diagram representation |
| Edge-Region-Based | segmentation | of Range Images |
| Edge-Weighted Centroid Voronoi Tessellation with Propagation of Consistency Constraint for 3D Grain | segmentation | in Microscopic Superalloy Images |
| Edge-Weighted Centroidal Voronoi Tessellation Model for Image | segmentation | , An |
| Edge/region-based | segmentation | and Reconstruction of Underwater Acoustic Images By Markov Random Fields |
| EdgeFlow: A Technique for Boundary Detection and Image | segmentation | |
| EdgeFlow: Achieving Practical Interactive | segmentation | with Edge-Guided Flow |
| Edison: Edge Detection and Image | segmentation | system |
| Editing of Picture | segmentation | s Using Local Analysis of Graphs, The |
| EDTRS: A Superpixel Generation Method for SAR Images | segmentation | Based on Edge Detection and Texture Region Selection |
| EFDCNet: Encoding Fusion and Decoding Correction Network for RGB-D Indoor Semantic | segmentation | |
| EFEM: Equivariant Neural Field Expectation Maximization for 3D Object | segmentation | Without Scene Supervision |
| Eff-UNet: A Novel Architecture for Semantic | segmentation | in Unstructured Environment |
| Effect of Bit Depth on Cloud | segmentation | of Remote-Sensing Images |
| Effect of Border Noise on the Performance of Projection-Based Page | segmentation | Methods, The |
| Effect of Color Space on Color Image | segmentation | |
| Effective 3D object detection and regression using probabilistic | segmentation | features in CT images |
| Effective Algorithm for the | segmentation | of Digital Plane Curves: The Isoparametric Formulation, An |
| Effective Barcode Hunter via Semantic | segmentation | in the Wild |
| effective CNN and Transformer complementary network for medical image | segmentation | , An |
| Effective Color Image | segmentation | Method for Handling Images under Uneven Illumination, An |
| Effective data augmentation for brain tumor | segmentation | |
| Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover | segmentation | in Agriculture |
| Effective Deep Learning for Semantic | segmentation | Based Bleeding Zone Detection in Capsule Endoscopy Images |
| Effective Drusen | segmentation | from Fundus Images for Age-Related Macular Degeneration Screening |
| Effective fuzzy clustering algorithm with Bayesian model and mean template for image | segmentation | |
| Effective hybrid attention network based on pseudo-color enhancement in ultrasound image | segmentation | |
| Effective Image | segmentation | with Flexible ICM-Based Markov Random Fields in Distributed Systems of Personal Computers |
| Effective layer-based | segmentation | of compound images using morphology |
| Effective Level Set Image | segmentation | With a Kernel Induced Data Term |
| effective method for detection and | segmentation | of the body of human in the view of a single stationary camera, An |
| effective method for text line | segmentation | in historical document images, An |
| Effective Multiresolution Arc | segmentation | : Algorithms and Performance Evaluation |
| effective retinal blood vessel | segmentation | method using multi-scale line detection, An |
| Effective Sampling: Fast | segmentation | Using Robust Geometric Model Fitting |
| Effective | segmentation | and classification for HCC biopsy images |
| Effective | segmentation | for Dental X-Ray Images Using Texture-Based Fuzzy Inference System |
| Effective | segmentation | for Noise-Based Image Verification Using Gamma Mixture Models, An |
| Effective semi-supervised learning strategies for automatic sentence | segmentation | |
| Effective Supervised Framework for Retinal Blood Vessel | segmentation | Using Local Standardisation and Bagging, An |
| Effective System for Optical Microscopy Cell Image | segmentation | , Tracking and Cell Phase Identification, An |
| Effective Use of Synthetic Data for Urban Scene Semantic | segmentation | |
| Effects of Classifier Structures and Training Regimes on Integrated | segmentation | and Recognition of Handwritten Numeral Strings |
| Effects of Image | segmentation | for Approximating Object Appearance Under Near Lighting |
| effects of | segmentation | and feature choice in a translation model of object recognition, The |
| Efficient 2D and 3D Facade | segmentation | Using Auto-Context |
| Efficient 3D Endfiring TRUS Prostate | segmentation | with Globally Optimized Rotational Symmetry |
| Efficient 3D Scene Semantic | segmentation | via Active Learning on Rendered 2D Images |
| Efficient 3D Semantic | segmentation | with Superpoint Transformer |
| Efficient Agglomerative Algorithm Cooperating with Louvain Method for Implementing Image | segmentation | , An |
| efficient algorithm for Co- | segmentation | , An |
| Efficient Algorithm for Multiphase Image | segmentation | With Intensity Bias Correction, An |
| Efficient and Accurate Iris | segmentation | Technique, An |
| Efficient and Effective Tool for Image | segmentation | , Total Variations and Regularization, An |
| Efficient and fast multi-modal foreground-background | segmentation | using RGBD data |
| efficient and robust hybrid method for | segmentation | of zebrafish objects from bright-field microscope images, An |
| Efficient and robust image | segmentation | with a new piecewise-smooth decomposition model |
| Efficient and robust | segmentation | and correction model for medical images |
| Efficient and robust | segmentation | and tracking of sperm cells in microscopic image sequences |
| Efficient and robust | segmentation | of noisy iris images for non-cooperative iris recognition |
| Efficient and Robust | segmentation | s Based on Eikonal and Diffusion PDEs |
| Efficient and Robust Video Object | segmentation | Through Isogenous Memory Sampling and Frame Relation Mining |
| Efficient approach for non-ideal iris | segmentation | using improved particle swarm optimisation-based multilevel thresholding and geodesic active contours |
| Efficient Approach To Color Image | segmentation | Using Intermediate Features Of Maximum Overlap Wavelet Transform In Peak Finding Algorithm, An |
| Efficient Approach to Semantic | segmentation | , An |
| Efficient Base Conversion Using Variable Length | segmentation | and Remainder Transfer, An |
| efficient brain tumor | segmentation | model based on group normalization and 3D U-Net, An |
| Efficient Brain Tumor | segmentation | with Dilated Multi-fiber Network and Weighted Bi-directional Feature Pyramid Network |
| Efficient Catheter | segmentation | in 3D Cardiac Ultrasound using Slice-Based FCN With Deep Supervision and F-Score Loss |
| Efficient cell | segmentation | and tracking of developing plant meristem |
| Efficient character | segmentation | on car license plates |
| Efficient Classifier Training to Minimize False Merges in Electron Microscopy | segmentation | |
| Efficient cloud detection in remote sensing images using edge-aware | segmentation | network and easy-to-hard training strategy |
| Efficient clustering approach for adaptive unsupervised colour image | segmentation | |
| Efficient coding of | segmentation | maps based on MPEG-4 shape coding |
| Efficient Coding of | segmentation | Maps for Layered Object Representations |
| efficient color image | segmentation | algorithm using hybrid approaches, An |
| Efficient Combination of Probabilistic Sampling Approximations for Robust Image | segmentation | |
| Efficient Combination of Texture and Color Information for Watershed | segmentation | , An |
| Efficient Computation of Kernel Density Estimation using Fast Gauss Transform with Applications for | segmentation | and tracking |
| Efficient Convolutions for Real-Time Semantic | segmentation | of 3D Point Clouds |
| Efficient Cooperative Smearing Technique for Degraded Historical Document Image | segmentation | , An |
| efficient copy move forgery detection using adaptive watershed | segmentation | with AGSO and hybrid feature extraction, An |
| Efficient Curve Evolution Algorithm for Multiphase Image | segmentation | , An |
| efficient deep learning algorithm for the | segmentation | of cardiac ventricles, An |
| efficient deep sclera recognition framework with novel sclera | segmentation | , vessel extraction and gaze detection, An |
| Efficient Deep Semantic | segmentation | for Land Cover Classification Using Sentinel Imagery |
| Efficient Dense 3D Rigid-Body Motion | segmentation | in RGB-D Video |
| Efficient Dense Rigid-Body Motion | segmentation | and Estimation in RGB-D Video |
| Efficient Depth Fusion Transformer for Aerial Image Semantic | segmentation | |
| Efficient Dual-Branch Bottleneck Networks of Semantic | segmentation | Based on CCD Camera |
| Efficient edge-preserving algorithm for color contrast enhancement with application to color image | segmentation | |
| Efficient Encoding Voxel-Based | segmentation | (EVBS) Algorithm Based on Fast Adjacent Voxel Search for Point Cloud Plane Segmentation, An |
| Efficient Encoding Voxel-Based | segmentation | (EVBS) Algorithm Based on Fast Adjacent Voxel Search for Point Cloud Plane Segmentation, An |
| Efficient Euclidean distance transform using perpendicular bisector | segmentation | |
| Efficient Facade | segmentation | Using Auto-context |
| efficient face | segmentation | algorithm based on binary partition tree, An |
| Efficient Feature Extraction for Fast | segmentation | of MR Brain Images |
| Efficient Fire | segmentation | for Internet-of-Things-Assisted Intelligent Transportation Systems |
| Efficient Framework for Brain Tumor | segmentation | in Magnetic Resonance Images, An |
| efficient framework for few-shot skeleton-based temporal action | segmentation | , An |
| Efficient Framework for Mobile Lidar Trajectory Reconstruction and Mo-norvana | segmentation | , An |
| Efficient fuzzy-connectedness | segmentation | using symmetric convolution and adaptive thresholding |
| Efficient Gabor Filter Design for Texture | segmentation | |
| Efficient Geometrical Potential Force Computation for Deformable Model | segmentation | |
| efficient global energy optimization approach for robust 3D plane | segmentation | of point clouds, An |
| Efficient Global Minimization for the Multiphase Chan-Vese Model of Image | segmentation | |
| Efficient Global Minimization Methods for Image | segmentation | Models with Four Regions |
| Efficient Graph Cuts for Multiclass Interactive Image | segmentation | |
| efficient graph reduction framework for interactive texture | segmentation | , An |
| Efficient Graph-Based Image | segmentation | |
| Efficient graph-based image | segmentation | via speeded-up turbo pixels |
| Efficient Hand | segmentation | and Fingertip Detection Using Color Features of Skin and Fingernail |
| Efficient hierarchical graph partitioning for image | segmentation | by optimum oriented cuts |
| Efficient Hierarchical Graph-Based | segmentation | of RGBD Videos |
| Efficient hierarchical graph-based video | segmentation | |
| Efficient Hybrid Supervision for Instance | segmentation | in Aerial Images |
| Efficient identification of speakers in news video based on shot | segmentation | |
| Efficient Image | segmentation | and Restoration Using Parametric Curve Evolution with Junctions and Topology Changes |
| Efficient Image | segmentation | for Region-Based Motion Estimation and Compensation |
| Efficient Image | segmentation | in Graphs with Localized Curvilinear Features |
| Efficient image | segmentation | method based on an adaptive selection of Gabor filters |
| Efficient Image | segmentation | Using Pairwise Pixel Similarities |
| Efficient image | segmentation | using partial differential equations and morphology |
| Efficient Image | segmentation | Using Weighted Pseudo-Elastica |
| Efficient Implementation for Spherical Flux Computation and Its Application to Vascular | segmentation | |
| Efficient Instance | segmentation | Paradigm for Interpreting SAR and Optical Images |
| Efficient interactions for reconstructing complex buildings via joint photometric and geometric saliency | segmentation | |
| Efficient Interactive Annotation of | segmentation | Datasets with Polygon-RNN++ |
| Efficient Interactive Brain Tumor | segmentation | as Within-Brain kNN Classification |
| Efficient Interactive Multi-object | segmentation | in Medical Images |
| Efficient iris | segmentation | method in unconstrained environments |
| Efficient Joint | segmentation | , Occlusion Labeling, Stereo and Flow Estimation |
| Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic | segmentation | |
| Efficient Ladder-Style DenseNets for Semantic | segmentation | of Large Images |
| Efficient Learning for Discriminative | segmentation | with Supermodular Losses |
| Efficient level-set | segmentation | model driven by the local GMM and split Bregman method |
| efficient line | segmentation | approach for handwritten Bangla document image, An |
| efficient local Chan-Vese model for image | segmentation | , An |
| Efficient Long-Short Temporal Attention network for unsupervised Video Object | segmentation | |
| Efficient Mask Correction for Click-Based Interactive Image | segmentation | |
| Efficient Medical Image | segmentation | Based on Knowledge Distillation |
| efficient method based on watershed and rule-based merging for | segmentation | of 3-D histo-pathological images, An |
| Efficient method for | segmentation | of noisy and non-circular iris images using improved particle swarm optimisation-based MRFCM |
| Efficient Method for the Visualization of Spectral Images Based on a Perception-Oriented Spectrum | segmentation | , An |
| Efficient model creation of large structures based on range | segmentation | |
| Efficient Model Monitoring for Quality Control in Cardiac Image | segmentation | |
| Efficient Morphological Active Surface Model for Volumetric Image | segmentation | , An |
| Efficient motion compensation using multiple warped reference pictures based on feature tracking and | segmentation | |
| Efficient Motion Estimation Algorithm Based on Structure | segmentation | and Compensability Analysis |
| Efficient Moving Object | segmentation | Algorithm for Illumination Change in Surveillance System |
| Efficient moving object | segmentation | algorithm using background registration technique |
| Efficient MRF Embedded Level Set Method for Image | segmentation | , An |
| Efficient MRF Energy Propagation for Video | segmentation | via Bilateral Filters |
| Efficient Multi-cue Scene | segmentation | |
| Efficient multi-object | segmentation | of 3D medical images using clustering and graph cuts |
| Efficient Multi-Organ | segmentation | From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation |
| Efficient Multi-scale Plane Extraction Based RGBD Video | segmentation | |
| Efficient Multilevel Brain Tumor | segmentation | With Integrated Bayesian Model Classification |
| Efficient multilevel image | segmentation | through fuzzy entropy maximization and graph cut optimization |
| Efficient multispectral texture | segmentation | using multivariate statistics |
| Efficient Object Detection and | segmentation | for Fine-Grained Recognition |
| Efficient object detection and | segmentation | with a cascaded Hough Forest ISM |
| Efficient Object Localization and | segmentation | in Weakly Labeled Videos |
| Efficient Object Region Discovery for Weakly-supervised Semantic | segmentation | |
| Efficient Object | segmentation | Algorithm with Dynamic and Selective Background Updating and Shadow Removal, An |
| Efficient Object | segmentation | Using Digital Matting for MPEG Video Sequences |
| Efficient OCT Image | segmentation | Using Neural Architecture Search |
| Efficient One-Shot Sports Field Image Registration with Arbitrary Keypoint | segmentation | |
| Efficient Online Hierarchical Supervoxel | segmentation | Algorithm for Time-critical Applications, An |
| Efficient Optimization Framework for Multi-Region | segmentation | Based on Lagrangian Duality, An |
| Efficient Outdoor 3d Point Cloud Semantic | segmentation | for Critical Road Objects and Distributed Contexts |
| Efficient Parallel Algorithm for Graph-Based Image | segmentation | , An |
| Efficient Parallel Multi-Scale | segmentation | Method for Remote Sensing Imagery, An |
| Efficient Parameterless Quadrilateral-Based Image | segmentation | Method, An |
| Efficient Piecewise Training of Deep Structured Models for Semantic | segmentation | |
| Efficient Pixel-Grouping Based on Dempster's Theory of Evidence for Image | segmentation | |
| Efficient Plane- | segmentation | Method for Indoor Point Clouds Based on Countability of Saliency Directions, An |
| Efficient Point Cloud | segmentation | with Geometry-Aware Sparse Networks |
| Efficient Polynomial Implementation of Several Multithresholding Methods for Gray-Level Image | segmentation | |
| Efficient Prediction of Model Transferability in Semantic | segmentation | Tasks |
| Efficient proposal distributions for MCMC image | segmentation | |
| Efficient pyramid context encoding and feature embedding for semantic | segmentation | |
| efficient quantification of COVID-19 in chest CT images with improved semantic | segmentation | using U-Net deep structure, An |
| efficient r-KDE model for the | segmentation | of dynamic scenes, An |
| Efficient Real-Time Video Object | segmentation | Algorithm Based on Change Detection and Background Updating, An |
| Efficient Recursive Algorithms for Computing the Mean Diffusion Tensor and Applications to DTI | segmentation | |
| Efficient region | segmentation | on compressed gray images using quadtree and shading representation |
| Efficient region | segmentation | through creep-and-merge |
| Efficient Region-Based Motion Estimation and Symmetry Oriented | segmentation | for Image Sequence Coding |
| Efficient region-based motion | segmentation | for a video monitoring system |
| Efficient Regional Memory Network for Video Object | segmentation | |
| Efficient Road Mapping via Interactive Image | segmentation | |
| Efficient Sampling-Based Attention Network for Semantic | segmentation | , An |
| Efficient scale space auto-context for image | segmentation | and labeling |
| Efficient | segmentation | and Camera Motion Indexing of Compressed Video |
| Efficient | segmentation | by Sparse Pixel Classification |
| Efficient | segmentation | for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree |
| Efficient | segmentation | Method for Range Date |
| Efficient | segmentation | of leaves in semi-controlled conditions |
| Efficient | segmentation | of lumbar intervertebral disc from MR images |
| Efficient | segmentation | of Lung Abnormalities in CT Images |
| Efficient | segmentation | of Piecewise Smooth Images |
| Efficient | segmentation | technique for noisy frontal view iris images using Fourier spectral density |
| Efficient | segmentation | using feature-based graph partitioning active contours |
| Efficient | segmentation | -Based PatchMatch for Large Displacement Optical Flow Estimation |
| Efficient | segmentation | -free keyword spotting in historical document collections |
| Efficient | segmentation | : Learning Downsampling Near Semantic Boundaries |
| Efficient semantic image | segmentation | with multi-class ranking prior |
| Efficient Semantic | segmentation | by Altering Resolutions for Compressed Videos |
| efficient semantic | segmentation | method based on transfer learning from object detection, An |
| Efficient Semantic | segmentation | Of Man-made Scenes Using Fully-connected Conditional Random Field |
| Efficient Semantic | segmentation | Using Gradual Grouping |
| Efficient Semantic | segmentation | via Self-Attention and Self-Distillation |
| Efficient semantic | segmentation | with Gaussian processes and histogram intersection kernels |
| Efficient semantic | segmentation | with pyramidal fusion |
| Efficient Semantic | segmentation | , Real-Time Segmentation |
| Efficient Semantic | segmentation | , Real-Time Segmentation |
| Efficient Semantic Video | segmentation | with Per-frame Inference |
| Efficient Shallow Network for River Ice | segmentation | |
| Efficient Single-View 3D Co- | segmentation | Using Shape Similarity and Spatial Part Relations |
| Efficient Solution for Semantic | segmentation | : ShuffleNet V2 with Atrous Separable Convolutions, An |
| Efficient symmetry-driven fully convolutional network for multimodal brain tumor | segmentation | |
| efficient technique of texture representation in | segmentation | -based image coding schemes, An |
| Efficient terrestrial laser scan | segmentation | exploiting data structure |
| Efficient text localization in born-digital images by local contrast-based | segmentation | |
| Efficient Text | segmentation | Technique Based on Naive Bayes Classifier, An |
| Efficient Tiny Feature Map Network for Real-time Semantic | segmentation | , An |
| Efficient Transcript Mapping to Ease the Creation of Document Image | segmentation | Ground Truth with Text-Image Alignment |
| Efficient transductive semantic | segmentation | |
| Efficient Transformer for Remote Sensing Image | segmentation | |
| Efficient unassisted video | segmentation | using enhanced fast marching |
| Efficient Uncertainty Estimation for Semantic | segmentation | in Videos |
| Efficient Uncertainty Estimation in Semantic | segmentation | via Distillation |
| Efficient Unsupervised Temporal | segmentation | of Motion Data |
| Efficient Urban Flood Mapping Framework Towards Disaster Response Driven by Weakly Supervised Semantic | segmentation | with Decoupled Training Samples, An |
| Efficient use of recent progresses for Real-time Semantic | segmentation | |
| Efficient Video Instance | segmentation | via Tracklet Query and Proposal |
| Efficient video object | segmentation | using adaptive background registration and edge-based change detection techniques |
| Efficient Video Object | segmentation | via Network Modulation |
| Efficient Video | segmentation | Using Parametric Graph Partitioning |
| Efficient Video Semantic | segmentation | with Labels Propagation and Refinement |
| Efficient Watershed | segmentation | Algorithm Suitable for Parallel Implementation, An |
| Efficient Wavelet-Based Image Retrieval Using Coarse | segmentation | and Fine Region Feature Extraction |
| Efficient Word | segmentation | Technique for Historical and Degraded Machine-Printed Documents, An |
| Efficientfcn: Holistically-guided Decoding for Semantic | segmentation | |
| Efficiently Computing a Good | segmentation | |
| Efficiently consistent affinity propagation for 3D shapes co- | segmentation | |
| EfficientPS: Efficient Panoptic | segmentation | |
| EfficientUNet: An efficient solution for breast tumour | segmentation | in ultrasound images |
| EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion | segmentation | |
| Egnet: A Novel Edge Guided Network for Instance | segmentation | |
| Eigen Combination of Colour and Texture Informations for Image | segmentation | |
| Eigen-Image Based Video | segmentation | and Indexing |
| Eigensnakes for Vessel | segmentation | in Angiography |
| Eigenstructure approach to region detection and | segmentation | |
| Eikonal-based vertices growing and iterative seeding for efficient graph-based | segmentation | |
| EISeg: Effective interactive | segmentation | |
| Elastic body spline based image | segmentation | |
| Elastic Boundary Projection for 3D Medical Image | segmentation | |
| Elastic model-based | segmentation | of 3-D neuroradiological data sets |
| Elastic Ratio: Introducing Curvature Into Ratio-Based Image | segmentation | , The |
| Elastic shapes models for improving | segmentation | of object boundaries in synthetic aperture sonar images |
| Electric Field Theory Motivated Graph Construction for Optimal Medical Image | segmentation | |
| Electron Microscopy Image | segmentation | with Graph Cuts Utilizing Estimated Symmetric Three-Dimensional Shape Prior |
| Elevation Ambiguity Resolution Method Based on | segmentation | and Reorganization of TomoSAR Point Cloud in 3D Mountain Reconstruction, An |
| Eliciting Perceptual Ground Truth for Image | segmentation | |
| Elimination of Non-Novel Segments at Multi-Scale for Few-Shot | segmentation | |
| EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and | segmentation | |
| EM Algorithm for Image | segmentation | Initialized by a Tree Structure Scheme |
| EM Clustering of Incomplete Data Applied to Motion | segmentation | |
| EM image | segmentation | algorithm based on an inhomogeneous hidden MRF model |
| EM procedures using mean field-like approximations for Markov model-based image | segmentation | |
| EM-Driven Unsupervised Learning for Efficient Motion | segmentation | |
| EM-like Algorithm for Motion | segmentation | via Eigendecomposition, An |
| EM-net: Deep learning for electron microscopy image | segmentation | |
| EM/MPM Algorithm for | segmentation | of Textured Images: Analysis and Further Experimental Results, The |
| Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic | segmentation | |
| Embedded Geometric Active Contour with Shape Constraint for Mass | segmentation | |
| Embedded Image Processing System for Automatic Page | segmentation | of Open Book Images |
| Embedded planar surface | segmentation | system for stereo images |
| Embedding 3D Geometric Features for Rigid Object Part | segmentation | |
| Embedding a Region Merging Prior in Level Set Vector-Valued Image | segmentation | |
| Embedding Gestalt Laws on Conditional Random Field for Image | segmentation | |
| Emotion Classification Using | segmentation | of Vowel-Like and Non-Vowel-Like Regions |
| Empirical Approach to Grouping and | segmentation | , An |
| Empirical Bayesian EM Based Motion | segmentation | |
| Empirical Bayesian Motion | segmentation | |
| Empirical comparison of cell | segmentation | algorithms using an annotated dataset |
| Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods for Semantic | segmentation | in the Wild |
| Empirical greedy machine-based automatic liver | segmentation | in CT images |
| empirical measure of the performance of a document image | segmentation | algorithm, An |
| Empirical Performance Evaluation Methodology and Its Application to Page | segmentation | Algorithms |
| Empirical Study of Detection-Based Video Instance | segmentation | , An |
| Employing Multi-estimations for Weakly-supervised Semantic | segmentation | |
| Enabling a Single Deep Learning Model for Accurate Gland Instance | segmentation | : A Shape-Aware Adversarial Learning Framework |
| Enabling scalable spectral clustering for image | segmentation | |
| Enc-Unet: A novel method for Glioma | segmentation | |
| Encoder Fusion Network with Co-Attention Embedding for Referring Image | segmentation | |
| encoder-decoder framework with dynamic convolution for weakly supervised instance | segmentation | , An |
| Encoder-Decoder Networks for Semantic | segmentation | |
| Encoder-Decoder with Atrous Separable Convolution for Semantic Image | segmentation | |
| Encoder-Decoder With Cascaded CRFs for Semantic | segmentation | |
| Encoding Contextual Information by Interlacing Transformer and Convolution for Remote Sensing Imagery Semantic | segmentation | |
| Encoding multi-granularity structural information for joint Chinese word | segmentation | and POS tagging |
| End-to-End 3D Point Cloud Instance | segmentation | Without Detection |
| End-To-End Bayesian | segmentation | Network Based on a Generative Adversarial Network for Remote Sensing Images, An |
| end-to-end brain tumor | segmentation | system using multi-inception-UNET, An |
| End-to-End Conditional Random Fields and Skip-Connected Generative Adversarial | segmentation | Network for Remote Sensing Images, An |
| End-to-End Edge Aggregation Network for Moving Object | segmentation | , An |
| End-to-End Fine-Grained Action | segmentation | and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding |
| end-to-end generative framework for video | segmentation | and recognition, An |
| End-to-End Instance | segmentation | with Recurrent Attention |
| End-to-End Joint Semantic | segmentation | of Actors and Actions in Video |
| End-To-End Learned Random Walker for Seeded Image | segmentation | |
| End-to-End Multi-Task Learning for Lung Nodule | segmentation | and Diagnosis |
| End-To-End Network for Panoptic | segmentation | , An |
| End-to-End Referring Video Object | segmentation | with Multimodal Transformers |
| End-to-end Trainable Deep Active Contour Models for Automated Image | segmentation | : Delineating Buildings in Aerial Imagery |
| End-to-end trainable network for superpixel and image | segmentation | |
| End-to-End Tree Based Approach for Instance | segmentation | , An |
| End-to-End Video Instance | segmentation | via Spatial-Temporal Graph Neural Networks |
| End-to-End Video Instance | segmentation | with Transformers |
| End-to-end weakly supervised semantic | segmentation | with reliable region mining |
| Endotect 2020 Challenge: Evaluation and Comparison of Classification, | segmentation | and Inference Time for Endoscopy, The |
| Endpoints Weight Fusion for Class Incremental Semantic | segmentation | |
| Energy Matching Vessel | segmentation | Framework in 3-D Medical Images, An |
| Energy Minimization Based | segmentation | and Denoising Using a Multilayer Level Set Approach |
| Energy Minimization by TeX-Erosion for Supervised Texture | segmentation | |
| Energy Partitions and Image | segmentation | |
| Energy-Based SAR Image | segmentation | Method with Weighted Feature, An |
| Energy-Based | segmentation | of Very Sparse Range Surfaces |
| Energy-Based Three-Dimensional | segmentation | Approach for the Quantitative Interpretation of Electron Tomograms, An |
| Enforcing Monotonous Shape Growth or Shrinkage in Video | segmentation | |
| Enforcing Point-wise Priors on Binary | segmentation | |
| Enforcing topological constraints in random field image | segmentation | |
| Enhance support relation extraction accuracy using improvement of | segmentation | in RGB-D images |
| Enhanced Affinity Graph for Image | segmentation | , An |
| enhanced appearance model for ultrasound image | segmentation | , An |
| Enhanced Bayesian foreground | segmentation | using Brightness and Color Distortion region-based model for shadow removal |
| Enhanced Boundary Learning for Glass-like Object | segmentation | |
| Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic | segmentation | |
| Enhanced Feature Pyramid Network for Semantic | segmentation | |
| Enhanced fog detection and free-space | segmentation | for car navigation |
| Enhanced foreground | segmentation | and tracking combining Bayesian background, shadow and foreground modeling |
| Enhanced Fuzzy-Based Local Information Algorithm for Sonar Image | segmentation | |
| Enhanced Interframe Coding Based on Morphological | segmentation | |
| Enhanced lane: interactive image | segmentation | by incremental path map construction |
| Enhanced Level-Set Approach to | segmentation | of 3-D Heterogeneous Lesions from Dynamic Contrast-Enhanced MR Images |
| Enhanced Local Subspace Affinity for feature-based motion | segmentation | |
| Enhanced Local Texture Descriptor for Image | segmentation | , An |
| Enhanced Memory Network for Video | segmentation | |
| Enhanced Model Selection for motion | segmentation | |
| Enhanced Multi-label Random Walk for Biomedical Image | segmentation | Using Statistical Seed Generation, An |
| Enhanced OCT chorio-retinal | segmentation | in low-data settings with semi-supervised GAN augmentation using cross-localisation |
| Enhanced | segmentation | of SAR images using non-Fourier imaging |
| Enhanced Soft Label for Semi-Supervised Semantic | segmentation | |
| Enhanced three-dimensional U-Net with graph-based refining for | segmentation | of gastrointestinal stromal tumours |
| Enhanced U-Net: A Feature Enhancement Network for Polyp | segmentation | |
| Enhanced U-Transformer Networks for Automatic Pulmonary Vessel | segmentation | in CT Images |
| Enhanced X-ray image | segmentation | method using prior shape |
| Enhancement of dense urban digital surface models from VHR optical satellite stereo data by pre- | segmentation | and object detection |
| Enhancement of morphological snake based | segmentation | by imparting image attachment through scale-space continuity |
| Enhancing Boundary Primitives Using a Multiscale Quadtree | segmentation | |
| Enhancing breast pectoral muscle | segmentation | performance by using skip connections in fully convolutional network |
| Enhancing Building | segmentation | in Remote Sensing Images: Advanced Multi-Scale Boundary Refinement with MBR-HRNet |
| Enhancing Deep Semantic | segmentation | of RGB-D Data with Entangled Forests |
| Enhancing feature fusion with spatial aggregation and channel fusion for semantic | segmentation | |
| Enhancing Generic | segmentation | With Learned Region Representations |
| Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance | segmentation | |
| Enhancing Handwritten Word | segmentation | by Employing Local Spatial Features |
| Enhancing human-computer interaction in medical | segmentation | |
| Enhancing Interactive Image | segmentation | with Automatic Label Set Augmentation |
| Enhancing level set brain tumor | segmentation | using fuzzy shape prior information and deep learning |
| Enhancing Medical Image | segmentation | : Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders |
| Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor | segmentation | |
| Enhancing motion | segmentation | by combination of complementary affinities |
| Enhancing Open-vocabulary Semantic | segmentation | with Prototype Retrieval |
| Enhancing Scene Text Detection via Fused Semantic | segmentation | Network with Attention |
| Enhancing Semantic | segmentation | of Aerial Images with Inhibitory Neurons |
| Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image | segmentation | |
| ENInst: Enhancing weakly-supervised low-shot instance | segmentation | |
| Enriching Point Clouds with Implicit Representations for 3D Classification and | segmentation | |
| Enriching Visual Knowledge Bases via Object Discovery and | segmentation | |
| Ensemble Classification System Applied for Retinal Vessel | segmentation | on Child Images Containing Various Vessel Profiles |
| Ensemble Combination for Solving the Parameter Selection Problem in Image | segmentation | |
| Ensemble Knowledge Transfer for Semantic | segmentation | |
| Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance | segmentation | , An |
| Ensemble Learning Based | segmentation | of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography |
| Ensemble Learning to Perform Instance | segmentation | over Synthetic Data |
| Ensemble Method with Edge Awareness for Abnormally Shaped Nuclei | segmentation | , An |
| Ensemble of 2D Convolutional Neural Networks for Tumor | segmentation | , An |
| Ensemble of active contour based image | segmentation | |
| ensemble of neural networks for nonlinear | segmentation | of overlapped cursive script, An |
| Ensemble | segmentation | Using Efficient Integer Linear Programming |
| Ensemble Subspace | segmentation | Under Blockwise Constraints |
| Ensembling Low Precision Models for Binary Biomedical Image | segmentation | |
| Ensembling Neural Networks for Digital Pathology Images Classification and | segmentation | |
| Ensuring a connected structure for Retinal Vessels Deep-Learning | segmentation | |
| Entropic Image | segmentation | : A Fuzzy Approach Based on Tsallis Entropy |
| Entropic | segmentation | by region growing and merging for drop shape analysis |
| Entropy based | segmentation | of tumor from brain MR images: A study with teaching learning based optimization |
| Entropy estimation for | segmentation | of multi-spectral chromosome images |
| Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic | segmentation | |
| Entropy rate superpixel | segmentation | |
| Entropy-Based Automatic | segmentation | and Extraction of Tumors from Brain MRI Images |
| Entropy-Based Feature Extraction for Real-Time Semantic | segmentation | |
| entropy-based | segmentation | algorithm for computer-generated documentimages, An |
| Entropy-Controlled Quadratic Markov Measure Field Models for Efficient Image | segmentation | |
| Entropy-guided contrastive learning for semi-supervised medical image | segmentation | |
| Entropy-kl Strategy For Estimating Number Of Classes In Image | segmentation | Issues, An |
| Entropy-Scale Profiles for Texture | segmentation | |
| Entry-Exit Method of Shadow Boundary | segmentation | , The |
| Epidermis | segmentation | in skin histopathological images based on thickness measurement and k-means algorithm |
| Epithelial Cell | segmentation | in Histological Images of Testicular Tissue Using Graph-Cut |
| EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene | segmentation | |
| Epsnet: Efficient Panoptic | segmentation | Network with Cross-layer Attention Fusion |
| EPT-Net: Edge Perception Transformer for 3D Medical Image | segmentation | |
| Equal-intensity map texture modeling for natural scene | segmentation | |
| ERDUnet: An Efficient Residual Double-Coding Unet for Medical Image | segmentation | |
| ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic | segmentation | |
| ERN: Edge Loss Reinforced Semantic | segmentation | Network for Remote Sensing Images |
| Error Measures for Scene | segmentation | |
| Error-resilient coding of 3-d graphic models via adaptive mesh | segmentation | |
| Error-Tolerant Scribbles Based Interactive Image | segmentation | |
| Escaping local minima through hierarchical model selection: Automatic object discovery, | segmentation | , and tracking in video |
| Esnet: Edge-Based | segmentation | Network for Real-Time Semantic Segmentation in Traffic Scenes |
| Esnet: Edge-Based | segmentation | Network for Real-Time Semantic Segmentation in Traffic Scenes |
| ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic | segmentation | |
| ESS: Learning Event-Based Semantic | segmentation | from Still Images |
| Estimating A Reference Standard | segmentation | With Spatially Varying Performance Parameters: Local MAP STAPLE |
| Estimating Leaf Area Density of Individual Trees Using the Point Cloud | segmentation | of Terrestrial LiDAR Data and a Voxel-Based Model |
| Estimating the Dominant Orientation of an Object Using Image | segmentation | and Principal Component Analysis |
| Estimating the Number of Clusters with Database for Texture | segmentation | Using Gabor Filter |
| Estimating the number of people in crowded scenes by MID based foreground | segmentation | and head-shoulder detection |
| Estimating Uncertainty of Point-Cloud Based Single-Tree | segmentation | with Ensemble Based Filtering |
| Estimation and Prediction of Evolving Color Distributions for Skin | segmentation | under Varying Illumination |
| Estimation and | segmentation | of displacement field using multiple features |
| Estimation des Parametres dans les Chaines de Markov Cachees et | segmentation | d'Images |
| Estimation of Bamboo Forest Aboveground Carbon Using the RGLM Model Based on Object-Based Multiscale | segmentation | of SPOT-6 Imagery |
| Estimation of Fuzzy Gaussian Mixture and Unsupervised Statistical Image | segmentation | |
| Estimation of Generalized Mixtures and Its Application in Image | segmentation | |
| Estimation of Generalized Multisensor Hidden Markov-Chains and Unsupervised Image | segmentation | |
| Estimation of Homogeneous Regions for | segmentation | of Textured Images |
| Estimation of image feature reliability for an interactive video | segmentation | scheme |
| Estimation of Inferential Uncertainty in Assessing Expert | segmentation | Performance From STAPLE |
| Estimation of Multiple, Time-Varying Motions Using Time-Frequency Representations and Moving-Objects | segmentation | |
| Estimation of Planar Curves, Surfaces, and Nonplanar Space Curves Defined by Implicit Equations with Applications to Edge and Range Image | segmentation | |
| Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for | segmentation | and Registration |
| Estimation Theoretical Approach to Ambrosio-Tortorelli Image | segmentation | , An |
| Estimation-Based Approach for Range Image | segmentation | : On the Reliability of Primitive Extraction, An |
| Estimation-Theoretic Approach to Terrain Image | segmentation | , An |
| ETHSeg: An Amodel Instance | segmentation | Network and a Real-world Dataset for X-Ray Waste Inspection |
| ETVOS: An Enhanced Total Variation Optimization | segmentation | Approach for SAR Sea-Ice Image Segmentation |
| ETVOS: An Enhanced Total Variation Optimization | segmentation | Approach for SAR Sea-Ice Image Segmentation |
| EU-Net: A novel semantic | segmentation | architecture for surface defect detection of mobile phone screens |
| Evaluating Cell Nuclei | segmentation | for Use on Whole-Slide Images in Lung Cytology |
| Evaluating CNN-Based Semantic Food | segmentation | Across Illuminants |
| Evaluating Hierarchical Graph-based | segmentation | |
| Evaluating image | segmentation | algorithms using monotonic hulls in fitness/cost space |
| Evaluating Image | segmentation | Algorithms Using the Pareto Front |
| Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI | segmentation | and Classification |
| Evaluating Minimum Spanning Tree Based | segmentation | Algorithms |
| Evaluating SEE-a benchmarking system for document page | segmentation | |
| Evaluating Superpixels in Video: Metrics Beyond Figure-Ground | segmentation | |
| Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image | segmentation | |
| Evaluating the Robustness of Semantic | segmentation | for Autonomous Driving against Real-World Adversarial Patch Attacks |
| Evaluating Tree Detection and | segmentation | Routines on Very High Resolution UAV LiDAR Data |
| Evaluation and benchmark for biological image | segmentation | |
| Evaluation and Comparison of Current Fetal Ultrasound Image | segmentation | Methods for Biometric Measurements: A Grand Challenge |
| Evaluation and Comparison of Different | segmentation | Algorithms |
| Evaluation and Comparison of Semantic | segmentation | Networks for Rice Identification Based on Sentinel-2 Imagery |
| Evaluation and Selection of Models for Motion | segmentation | |
| Evaluation criterion of underwater object clustering | segmentation | with pulse-coupled neural network |
| Evaluation for uncertain image classification and | segmentation | |
| Evaluation Measure of Image | segmentation | Based on Object Centres, An |
| evaluation metric for image | segmentation | of multiple objects, An |
| Evaluation of a Foreground | segmentation | Algorithm for 3D Camera Sensors |
| Evaluation of Atlas Selection Methods for Atlas-Based Automatic | segmentation | in Radiotherapy Treatment Planning, An |
| Evaluation of Color Image | segmentation | Algorithms Based on Histogram Thresholding |
| Evaluation of Colour Image | segmentation | Hierarchies |
| Evaluation of data fusion and image | segmentation | in earth observation based rapid mapping workflows |
| Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image | segmentation | |
| Evaluation of Deep Learning | segmentation | Models for Detection of Pine Wilt Disease in Unmanned Aerial Vehicle Images |
| Evaluation of Distances Between Color Image | segmentation | s |
| Evaluation of DNN Architectures for Page | segmentation | of Historical Newspapers, An |
| Evaluation of High Spatial Resolution Remote Sensing Image | segmentation | Algorithms |
| Evaluation of Image | segmentation | Algorithms from the Perspective of Salient Region Detection |
| Evaluation of Image | segmentation | Quality by Adaptive Ground Truth Composition |
| Evaluation of Interactive | segmentation | Algorithms Using Densely Sampled Correct Interactions |
| Evaluation of Landsat 8 OLI/TIRS Level-2 and Sentinel 2 Level-1C Fusion Techniques Intended for Image | segmentation | of Archaeological Landscapes and Proxies |
| Evaluation of LBP Variants in Retinal Blood Vessels | segmentation | Using Machine Learning |
| Evaluation of Morphological Hierarchies for Supervised | segmentation | |
| Evaluation of Motion | segmentation | Quality for Aircraft Activity Surveillance |
| Evaluation of moving object | segmentation | comparing 6D-vision and monocular motion constraints |
| Evaluation of object | segmentation | to improve moving vehicle detection in aerial videos |
| Evaluation of optimal interpolation and | segmentation | of the optic nerves on magnetic resonance images for cross-sectional area measurement |
| Evaluation of Parallel Level Sets and Bowsher's Method as | segmentation | -Free Anatomical Priors for Time-of-Flight PET Reconstruction |
| Evaluation of remote sensing image | segmentation | quality: Further results and concepts |
| Evaluation of retinal vessel | segmentation | methods for microaneurysms detection |
| Evaluation of | segmentation | Algorithms on Cell Populations Using CDF Curves |
| Evaluation of | segmentation | Quality via Adaptive Composition of Reference Segmentations |
| Evaluation of | segmentation | Quality via Adaptive Composition of Reference Segmentations |
| Evaluation of | segmentation | Results and the Overlapping Area Matrix, The |
| Evaluation of | segmentation | techniques using region area and boundary matching information |
| Evaluation of | segmentation | Techniques Using Region Size and Boundary Information |
| Evaluation of Semantic | segmentation | Methods for Deforestation Detection In the Amazon |
| Evaluation of Semantic | segmentation | Methods for Land Use with Spectral Imaging Using Sentinel-2 and PNOA Imagery |
| Evaluation of Strategies for | segmentation | of Blue-Dyed Pores in Thin Sections of Reservoir Rocks |
| Evaluation of Texture | segmentation | Algorithms |
| Evaluation of the Potential of Convolutional Neural Networks and Random Forests for Multi-Class | segmentation | of Sentinel-2 Imagery |
| Evaluation of three-dimensional | segmentation | algorithms for the identification of luminal and medial-adventitial borders in intravascular ultrasound images |
| Evaluation of U-Net CNN Approaches for Human Neck MRI | segmentation | |
| Evaluation of word spotting under improper | segmentation | scenario |
| Event-Based Motion | segmentation | by Motion Compensation |
| Event-Based Semantic | segmentation | With Posterior Attention |
| Every Annotation Counts: Multi-label Deep Supervision for Medical Image | segmentation | |
| Evidence theory for image | segmentation | using information from stochastic Watershed and Hessian filtering |
| Evolution of Programs for | segmentation | of Microscopic Images |
| evolutionary algorithm for general symbol | segmentation | , An |
| Evolutionary Algorithm for | segmentation | of Medical Images by Region Growing |
| Evolutionary Attention Network for Medical Image | segmentation | |
| Evolutionary gibbs sampler for image | segmentation | |
| Evolutionary image | segmentation | |
| Evolutionary | segmentation | of texture image using genetic algorithms towards automatic decision of optimum number of segmentation areas |
| Evolutionary | segmentation | of texture image using genetic algorithms towards automatic decision of optimum number of segmentation areas |
| evolutionary snake algorithm for the | segmentation | of nuclei in histopathological images, An |
| evolutionary tabu search for cell image | segmentation | , An |
| Evolving Descriptors for Texture | segmentation | |
| Evolving Image | segmentation | s for the Analysis of Video Sequences |
| Evolving Into a Transformer: From a Training-Free Retrieval-Based Method for Anomaly Obstacle | segmentation | |
| evolving MoG for online image sequence | segmentation | , An |
| Ex Paucis Plura: Learning Affordance | segmentation | from Very Few Examples |
| eX-ViT: A Novel explainable vision transformer for weakly supervised semantic | segmentation | |
| Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen | segmentation | Using Centerline Constraint |
| Examining the Multi-Seasonal Consistency of Individual Tree | segmentation | on Deciduous Stands Using Digital Aerial Photogrammetry (DAP) and Unmanned Aerial Systems (UAS) |
| Example-Based Video Stereolization With Foreground | segmentation | and Depth Propagation |
| Exemplar-Based 3D Shape | segmentation | in Point Clouds |
| Exemplar-Based CRF for Multi-instance Object | segmentation | , An |
| Exemplar-based frame rate up-conversion with congruent | segmentation | |
| Exemplar-Based Inpainting Driven by Feature Vectors and Region | segmentation | |
| Exemplar-Based Open-Set Panoptic | segmentation | Network |
| Exemplar-Based Recursive Instance | segmentation | With Application to Plant Image Analysis |
| Exemplar-FreeSOLO: Enhancing Unsupervised Instance | segmentation | with Exemplars |
| Exercise classification and event | segmentation | in Hammersmith Infant Neurological Examination videos |
| ExFuse: Enhancing Feature Fusion for Semantic | segmentation | |
| Expectation Maximization Approach for Integrated Registration, | segmentation | , and Intensity Correction, An |
| Expectation Maximization Approach to the Synergy between Image | segmentation | and Object Categorization, An |
| Expectation-Maximisation Framework for | segmentation | and Grouping, An |
| Expectation-maximization algorithm with total variation regularization for vector-valued image | segmentation | |
| Expectation-Maximization Attention Networks for Semantic | segmentation | |
| Experiment on Texture | segmentation | Using Modulated Wavelets, An |
| Experimental analysis regarding the influence of iris | segmentation | on the recognition rate |
| Experimental Comparison of a Hierarchical Range Image | segmentation | Algorithm, An |
| Experimental Comparison of Range Image | segmentation | Algorithms, An |
| Experimental Study of Color-Based | segmentation | Algorithms Based on the Mean-Shift Concept, An |
| Experiments in Curvature-Based | segmentation | of Range Data |
| Experiments in Dynamic | segmentation | |
| Experiments in Interpretation Guided | segmentation | |
| Experiments in | segmentation | Using a Facet Model Region Grower |
| Experts-Shift: Learning active spatial classification experts for keyframe-based video | segmentation | |
| Explainable Fingerprint ROI | segmentation | Using Monte Carlo Dropout |
| Explicit Shape Encoding for Real-Time Instance | segmentation | |
| Explicit Visual Prompting for Low-Level Structure | segmentation | s |
| Exploit Visual Dependency Relations for Semantic | segmentation | |
| Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic | segmentation | |
| Exploiting a Semi-Automatic Point Cloud | segmentation | Method to Improve the Quality of Rock-Mass Characterization. The Cima Grappa Conservative Restoration Case Study |
| Exploiting Depth From Single Monocular Images for Object Detection and Semantic | segmentation | |
| Exploiting Epistemic Uncertainty of Anatomy | segmentation | for Anomaly Detection in Retinal OCT |
| Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic | segmentation | |
| Exploiting Low-Level Image | segmentation | for Object Recognition |
| Exploiting nonlocal spatiotemporal structure for video | segmentation | |
| Exploiting recollection effects for memory-based video object | segmentation | |
| Exploiting Saliency for Object | segmentation | from Image Level Labels |
| Exploiting Semantic | segmentation | for Robust Camera Motion Classification |
| Exploiting shape cues for weakly supervised semantic | segmentation | |
| Exploiting Structured CNNs for Semantic | segmentation | of Unstructured Point Clouds from LiDAR Sensor |
| Exploiting superior CNN-based iris | segmentation | for better recognition accuracy |
| Exploiting Temporality for Semi-Supervised Video | segmentation | |
| Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic | segmentation | |
| Exploiting Visual-Audio-Textual Characteristics for Automatic TV Commercial Block Detection and | segmentation | |
| Exploiting Voronoi diagram properties in face | segmentation | and feature extraction |
| exploration framework for | segmentation | parameter spaces, An |
| Exploration of Optimal Many-Core Models for Efficient Image | segmentation | |
| exploration of ventricle regions | segmentation | and multiclass disease detection using cardiac MRI, An |
| Exploration trees on highly complex scenes: A new approach for 3D | segmentation | |
| Exploratory Analysis on Pixelwise Image | segmentation | Metrics with an Application in Proximal Sensing |
| Explored Normalized Cut With Random Walk Refining Term for Image | segmentation | |
| Exploring a Transformer Approach for Pigment Signs | segmentation | in Fundus Images |
| Exploring Active Learning for Semiconductor Defect | segmentation | |
| Exploring Context with Deep Structured Models for Semantic | segmentation | |
| Exploring Cross-city Semantic | segmentation | of ALS Point Clouds |
| Exploring Cross-Image Pixel Contrast for Semantic | segmentation | |
| Exploring Depth Information for Object | segmentation | and Detection |
| Exploring Event-Driven Dynamic Context for Accident Scene | segmentation | |
| Exploring frame | segmentation | networks for temporal action localization |
| Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene | segmentation | |
| Exploring Local Detail Perception for Scene Sketch Semantic | segmentation | |
| Exploring Long-Short-Term Context For Point Cloud Semantic | segmentation | |
| Exploring Open-Vocabulary Semantic | segmentation | from CLIP Vision Encoder Distillation Only |
| Exploring Robustness of Unsupervised Domain Adaptation in Semantic | segmentation | |
| Exploring semantic | segmentation | of related subclasses from a superset of classes |
| Exploring Spatial Context for 3D Semantic | segmentation | of Point Clouds |
| Exploring Task Structure for Brain Tumor | segmentation | From Multi-Modality MR Images |
| Exploring the Applicability of Spectral Recovery in Semantic | segmentation | of RGB Images |
| Exploring the Semi-Supervised Video Object | segmentation | Problem from a Cyclic Perspective |
| Exploring Transformers for Open-world Instance | segmentation | |
| Exploring Uncertainty-Based Self-Prompt for Test-Time Adaptation Semantic | segmentation | in Remote Sensing Images |
| Exploring Video Frame Redundancies for Efficient Data Sampling and Annotation in Instance | segmentation | |
| Exploring Weakly Labeled Images for Video Object | segmentation | With Submodular Proposal Selection |
| Exposing Semantic | segmentation | Failures via Maximum Discrepancy Competition |
| Exswin-unet: An Unbalanced Weighted Unet with Shifted Window and External Attentions for Fetal Brain MRI Image | segmentation | |
| Extended Abstract of PhD Thesis: Integrated Registration, | segmentation | , and Interpolation for 3D/4D Sparse Data |
| Extended Edge-Weighted Centroidal Voronoi Tessellation for Image | segmentation | |
| Extended Fractal Analysis for Texture Classification and | segmentation | |
| Extended Fuzzy Rules for Image | segmentation | |
| extended ICM algorithm for range image | segmentation | , An |
| Extended Mumford-Shah Regularization in Bayesian Estimation for Blind Image Deconvolution and | segmentation | |
| Extended Res-UNet with Hierarchical Inner-Modules for Liver Tumor | segmentation | from CT Volumes |
| Extended scheme of Chan-Vese models for colour image | segmentation | |
| Extended surface distance for local evaluation of 3D medical image | segmentation | s |
| Extending and Applying Active Appearance Models for Automated, High Precision | segmentation | in Different Image Modalities |
| Extending Page | segmentation | Algorithms for Mixed-Layout Document Processing |
| Extensive partition operators, gray-level connected operators, and region merging/classification | segmentation | algorithms: theoretical links |
| External Attention Assisted Multi-Phase Splenic Vascular Injury | segmentation | With Limited Data |
| External Word | segmentation | of Off-Line Handwritten Text Lines |
| Extract and Merge: Superpixel | segmentation | with Regional Attributes |
| Extracting Primary Objects by Video Co- | segmentation | |
| Extraction and | segmentation | of tables from Chinese ink documents based on a matrix model |
| Extraction and Temporal | segmentation | of Multiple Motion Trajectories in Human Motion |
| Extraction of features using M-band wavelet packet frame and their neuro-fuzzy evaluation for multitexture | segmentation | |
| Extraction of Impervious Surface Areas from High Spatial Resolution Imagery by Multiple Agent | segmentation | and Classification |
| Extraction of Road Lanes from High-Resolution Stereo Aerial Imagery Based on Maximum Likelihood | segmentation | and Texture Enhancement |
| Extrapolation of Vector Fields Using the Infinity Laplacian and with Applications to Image | segmentation | |
| Extremely Weak Supervised Image-to-Image Translation for Semantic | segmentation | |
| Eye Semantic | segmentation | with A Lightweight Model |
| Eye-MMS: Miniature Multi-Scale | segmentation | Network of Key Eye-Regions in Embedded Applications |
| EyeNet: Attention Based Convolutional Encoder-Decoder Network for Eye Region | segmentation | |
| Eyes and eyebrows parametric models for automatic | segmentation | |
| F-BRS: Rethinking Backpropagating Refinement for Interactive | segmentation | |
| F2RNET: A Full-Resolution Representation Network for Biomedical Image | segmentation | |
| Facade | segmentation | in a Multi-view Scenario |
| Face Alignment Using | segmentation | and a Combined AAM in a PTZ Camera |
| Face analysis through semantic face | segmentation | |
| Face and Hair Region Labeling Using Semi-Supervised Spectral Clustering-Based Multiple | segmentation | s |
| Face detection using color | segmentation | and RHT |
| Face Forgery Detection Based on | segmentation | Network |
| Face Recognition From Video using Active Appearance Model | segmentation | |
| Face | segmentation | and detection using Voronoi diagram and 2D histogram |
| Face | segmentation | and tracking based on connected operators and partition projection |
| Face | segmentation | for Identification using Hidden Markov Models |
| Face | segmentation | in thumbnail images by data-adaptive convolutional segmentation networks |
| Face | segmentation | in thumbnail images by data-adaptive convolutional segmentation networks |
| Face | segmentation | using fuzzy reasoning |
| Face | segmentation | Using Skin-Color Map in Videophone Applications |
| Facecut: a robust approach for facial feature | segmentation | |
| FaceSeg: Automatic Face | segmentation | for Real-Time Video |
| Facet | segmentation | -Based Line Segment Extraction for Large-Scale Point Clouds |
| Facet-Level | segmentation | of 3d Textures on Cultural Heritage Objects |
| Facial Components | segmentation | for Extracting Facial Features |
| Facial Expression Recognition Based on Facial Region | segmentation | and Modal Value Approach |
| factorization based active contour model for texture | segmentation | , A |
| Factorization-based active contour | segmentation | and pelican optimization-based modified bidirectional long short-term memory for ovarian tumor detection |
| Factorization-Based | segmentation | of Motions |
| Factorization-Based Texture | segmentation | |
| FAFNet: Fully aligned fusion network for RGBD semantic | segmentation | based on hierarchical semantic flows |
| Fair Federated Medical Image | segmentation | via Client Contribution Estimation |
| Faithful Least-Squares Fitting of Spheres, Cylinders, Cones and Tori for Reliable | segmentation | |
| FAKD: Feature Augmented Knowledge Distillation for Semantic | segmentation | |
| Fake Face Images Detection and Identification of Celebrities Based on Semantic | segmentation | |
| FANet: Feature Aggregation Network for Semantic | segmentation | |
| Farmland | segmentation | in Landsat 8 Satellite Images Using Deep Learning and Conditional Generative Adversarial Networks |
| FarNet: An Attention-Aggregation Network for Long-Range Rail Track Point Cloud | segmentation | |
| FarSeg++: Foreground-Aware Relation Network for Geospatial Object | segmentation | in High Spatial Resolution Remote Sensing Imagery |
| FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance | segmentation | |
| Fashion-Guided Adversarial Attack on Person | segmentation | |
| Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion | segmentation | and Recognition |
| Fashionpedia: Ontology, | segmentation | , and an Attribute Localization Dataset |
| FASSD-Net: Fast and Accurate Real-Time Semantic | segmentation | for Embedded Systems |
| FASSST: Fast Attention Based Single-Stage | segmentation | Net for Real-Time Instance Segmentation |
| FASSST: Fast Attention Based Single-Stage | segmentation | Net for Real-Time Instance Segmentation |
| Fast 3D Brain | segmentation | Using Dual-Front Active Contours with Optional User-Interaction |
| Fast Algorithm for MDL-Based Multi-Band Image | segmentation | , A |
| Fast and Accurate Algorithm for Facial Feature | segmentation | , A |
| Fast and Accurate Edge-Based | segmentation | with No Contour Smoothing in 2-D Real Images |
| Fast and accurate fuzzy C-means algorithm for MR brain image | segmentation | |
| Fast and accurate iris | segmentation | based on linear basis function and RANSAC |
| Fast and accurate motion | segmentation | using Linear Combination of Views |
| Fast and Accurate Online Video Object | segmentation | via Tracking Parts |
| Fast and Accurate Plane | segmentation | of Airborne LiDAR Point Cloud Using Cross-Line Elements |
| Fast and Accurate Real-Time Semantic | segmentation | with Dilated Asymmetric Convolutions |
| Fast and Accurate | segmentation | of Dental X-Ray Records |
| Fast and accurate | segmentation | of the LV in MR volumes using a deformable model with dynamic programming |
| Fast and accurate skin | segmentation | in color images |
| Fast and accurate superpixel | segmentation | algorithm with a guidance image |
| Fast and Accurate Texture Based Image | segmentation | |
| Fast and Accurate Unknown Object | segmentation | for Robotic Systems |
| Fast and active texture | segmentation | based on orientation and local variance |
| Fast and Adaptive Method to Estimate Texture Statistics by the Spatial Gray Level Dependence Matrix for Texture Image | segmentation | , A |
| Fast and Adaptive Pairwise Similarities for Graph Cuts-based Image | segmentation | |
| Fast and Adaptive Random Walks Approach for the Unsupervised | segmentation | of Natural Images, A |
| Fast and Automatic | segmentation | of Ascending Aorta in MSCT Volume Data |
| Fast and automatic video object | segmentation | and tracking for content-based applications |
| Fast and Automatically Adjustable GRBF Kernel Based Fuzzy C-Means for Cluster-wise Coloured Feature Extraction and | segmentation | of MR Images |
| Fast and Effective Method for Unsupervised | segmentation | Evaluation of Remote Sensing Images, A |
| Fast and Exact: ADMM-Based Discriminative Shape | segmentation | with Loopy Part Models |
| Fast and Fully Automatic Left Ventricular | segmentation | and Tracking in Echocardiography Using Shape-Based B-Spline Explicit Active Surfaces |
| Fast and globally convex multiphase active contours for brain MRI | segmentation | |
| Fast and Precise Plane | segmentation | Framework for Indoor Point Clouds, A |
| Fast and reliable iris | segmentation | algorithm |
| Fast and reliable PCA-based temporal | segmentation | of video sequences |
| Fast and robust active contours for image | segmentation | |
| Fast and Robust Approach for Touching Grains | segmentation | , A |
| Fast and robust dense stereo correspondence by column | segmentation | |
| Fast and robust fuzzy c-means clustering algorithms incorporating local information for image | segmentation | |
| Fast and robust image | segmentation | using an superpixel based FCM algorithm |
| Fast and robust image | segmentation | with active contours and Student's-t mixture model |
| Fast and Robust Iris | segmentation | Method, A |
| Fast and Robust Level Set Method for Image | segmentation | Using Fuzzy Clustering and Lattice Boltzmann Method, A |
| Fast and Robust Moving Object | segmentation | in Video Sequences, A |
| Fast and robust object | segmentation | with the Integral Linear Classifier |
| Fast And Robust | segmentation | And Classification For Change Detection In Urban Point Clouds |
| Fast and Robust | segmentation | of Head in T1-weighted Magnetic Resonance Volumes |
| Fast and Robust | segmentation | of Magnetic Resonance Brain Images Using a Combination of the Pyramidal Approach and Level Set Method, A |
| Fast and Robust Spatially Constrained Gaussian Mixture Model for Image | segmentation | |
| Fast and Unsupervised Action Boundary Detection for Action | segmentation | |
| Fast Anisotropic Mumford-Shah Functional Based | segmentation | , A |
| fast anti-noise fuzzy C-means algorithm for image | segmentation | , A |
| Fast Appearance Modeling for Automatic Primary Video Object | segmentation | |
| Fast approximate Random Walker | segmentation | using eigenvector precomputation |
| Fast Approximate Spectral Unmixing Algorithm Based on | segmentation | , A |
| Fast Approximation of Level Set Computations: Application to Image | segmentation | |
| Fast Asymmetric Fronts Propagation for Image | segmentation | |
| Fast Asymmetric Fronts Propagation for Voronoi Region Partitioning and Image | segmentation | |
| Fast Automatic Heart Chamber | segmentation | from 3D CT Data Using Marginal Space Learning and Steerable Features |
| Fast automatic medical image | segmentation | based on spatial kernel fuzzy c-means on level set method |
| Fast Automatic Microstructural | segmentation | of Ferrous Alloy Samples Using Optimum-Path Forest |
| fast automatic optimal threshold selection technique for image | segmentation | , A |
| Fast automatic saliency map driven geometric active contour model for color object | segmentation | |
| Fast automatic | segmentation | of cells and nucleuses in large-scale liquid-based monolayer smear images |
| fast automatic VOP generation using boundary block | segmentation | , A |
| Fast building | segmentation | from satellite imagery and few local labels |
| Fast calculation of local moments and application to range image | segmentation | |
| Fast Catheter | segmentation | From Echocardiographic Sequences Based on Segmentation From Corresponding X-Ray Fluoroscopy for Cardiac Catheterization Interventions |
| Fast Catheter | segmentation | From Echocardiographic Sequences Based on Segmentation From Corresponding X-Ray Fluoroscopy for Cardiac Catheterization Interventions |
| Fast Circular Arc | segmentation | Based on Approximate Circularity and Cuboid Graph |
| Fast cloud image | segmentation | with superpixel analysis based convolutional networks |
| Fast Cloud | segmentation | Using Convolutional Neural Networks |
| Fast Computation of Hemodynamic Sensitivity to Lumen | segmentation | Uncertainty |
| Fast Context Adaptation for Video Object | segmentation | |
| Fast Crowd | segmentation | Using Shape Indexing |
| Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI | segmentation | |
| Fast detection and | segmentation | of partial image blur based on discrete Walsh-Hadamard transform |
| Fast Distance Preserving Level Set Evolution for Medical Image | segmentation | |
| Fast Exposure Fusion Based on Histograms | segmentation | |
| Fast External Force Field for Parametric Active Contour | segmentation | , A |
| Fast face | segmentation | in component color space |
| Fast Fixed Point Algorithm for Total Variation Deblurring and | segmentation | , A |
| Fast Floor | segmentation | Algorithm for Visual-Based Robot Navigation, A |
| fast Geodesic Active Contour model for medical images | segmentation | using prior analysis, A |
| Fast global motion estimation based on local motion | segmentation | |
| Fast globally supervised | segmentation | by active contours with shape and texture descriptors |
| Fast Graph Partitioning Active Contours for Image | segmentation | Using Histograms |
| Fast Ground Detection for Range Cameras on Road Surfaces Using a Three-Step | segmentation | |
| Fast Ground | segmentation | for 3D LiDAR Point Cloud Based on Jump-Convolution-Process |
| fast hierarchical approach to image | segmentation | , A |
| Fast Human Detection Combining Range Image | segmentation | and Local Feature Based Detection |
| Fast image motion | segmentation | for surveillance applications |
| Fast Image | segmentation | Algorithm for Interactive Video Hotspot Retrieval, A |
| fast image | segmentation | algorithm using color and depth map, A |
| Fast image | segmentation | and texture feature extraction for image retrieval |
| Fast image | segmentation | based on multi-resolution analysis and wavelets |
| Fast image | segmentation | based on multilevel banded closed-form method |
| Fast Image | segmentation | Based on Single-Parametric Level-Set Approach |
| Fast image | segmentation | based on two-dimensional minimum Tsallis-cross entropy |
| Fast Implementations of the Levelset | segmentation | Method With Bias Field Correction in MR Images: Full Domain and Mask-Based Versions |
| Fast Integral MeanShift: Application to Color | segmentation | of Document Images |
| Fast Interactive Image | segmentation | to Locate Multiple Similar-colored Objects, A |
| Fast Interactive Image | segmentation | Using Bipartite Graph Based Random Walk with Restart |
| Fast Iris | segmentation | Algorithm for Visible Wavelength Images Based on Multi-color Space |
| Fast Iterative | segmentation | of High-Resolution Medical Images |
| fast leading eigenvector approximation for | segmentation | and grouping, A |
| fast learning algorithm for image | segmentation | with max-pooling convolutional networks, A |
| fast level set algorithm for shape-based | segmentation | with multiple selective priors, A |
| Fast level set image and video | segmentation | using new evolution indicator operators |
| fast level set image | segmentation | driven by a new region descriptor, A |
| fast level set method for | segmentation | of low contrast noisy biomedical images, A |
| Fast License Plate | segmentation | and Recognition Method Based on the Modified Template Matching, A |
| Fast localised active contour for inhomogeneous image | segmentation | |
| Fast Marching for Robust Surface | segmentation | |
| Fast medical image mixture density clustering | segmentation | using stratification sampling and kernel density estimation |
| Fast medical image | segmentation | based on patch sharing |
| Fast mesh | segmentation | by using the LexicoGraph Cut algorithm |
| Fast Mode Decision Based on Activity | segmentation | in H.264/AVC Encoding |
| Fast motion estimation and motion | segmentation | using multi-scale approach |
| fast motion | segmentation | algorithm based on hypothesis test for surveillance video coding, A |
| fast motion | segmentation | based watermarking for MPEG-2 video, A |
| Fast MR brain image | segmentation | based on modified Shuffled Frog Leaping Algorithm |
| Fast Multi-frame Stereo Scene Flow with Motion | segmentation | |
| Fast Multiregion Image | segmentation | Using Statistical Active Contours |
| Fast Multiscale Image | segmentation | |
| Fast Neural Architecture Search of Compact Semantic | segmentation | Models via Auxiliary Cells |
| Fast Object | segmentation | by Growing Minimal Paths from a Single Point on 2D or 3D Images |
| Fast Object | segmentation | in Unconstrained Video |
| Fast Online Motion | segmentation | through Multi-Temporal Interval Motion Analysis |
| Fast Online Object Tracking and | segmentation | : A Unifying Approach |
| Fast Optimization Method for Level Set | segmentation | , A |
| Fast parameter-free region growing | segmentation | with application to surgical planning |
| fast persistence-based | segmentation | of noisy 2D clouds with provable guarantees, A |
| Fast Piecewise-Affine Motion Estimation Without | segmentation | |
| Fast pixel-matching for video object | segmentation | |
| Fast Pixel-Superpixel Region Merging for SAR Image | segmentation | |
| Fast Planar Correlation Clustering for Image | segmentation | |
| Fast Point Cloud Ground | segmentation | Approach Based on Coarse-To-Fine Markov Random Field, A |
| Fast Point Voxel Convolution Neural Network with Selective Feature Fusion for Point Cloud Semantic | segmentation | |
| Fast Portrait | segmentation | of the Head and Upper Body |
| Fast Portrait | segmentation | With Highly Light-Weight Network |
| Fast Projection Method for Connectivity Constraints in Image | segmentation | , A |
| Fast propagation-based skin regions | segmentation | in color images |
| fast quadtree motion | segmentation | for image sequence coding, A |
| Fast range image | segmentation | by an edge detection strategy |
| Fast Range Image | segmentation | Using High-Level Segmentation Primitives |
| Fast Range Image | segmentation | Using High-Level Segmentation Primitives |
| Fast Recursive Shortest Spanning Tree for Image | segmentation | and Edge-Detection, A |
| Fast Redundant Dyadic Wavelet Transform in Application to Spatial Registration of the Expression Patterns of Drosophila | segmentation | Genes |
| fast region | segmentation | algorithm on compressed gray images using Non-symmetry and Anti-packing Model and Extended Shading representation, A |
| Fast Rigid Motion | segmentation | via Incrementally-Complex Local Models |
| Fast road scene | segmentation | using deep learning and scene-based models |
| Fast Saliency-Based Motion | segmentation | Algorithm for an Active Vision System |
| Fast SAR Image Restoration, | segmentation | , and Detection of High-Reflectance Regions |
| Fast SAR Image | segmentation | via Merging Cost With Relative Common Boundary Length Penalty |
| Fast | segmentation | Algorithm for Bi-Level Image Compression using JBIG2, A |
| Fast | segmentation | and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels |
| Fast | segmentation | and Dynamic Monitoring of Time-Lapse 3D GPR Data Based on U-Net |
| Fast | segmentation | From Blurred Data in 3D Fluorescence Microscopy |
| fast | segmentation | method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation, A |
| fast | segmentation | method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation, A |
| Fast | segmentation | of Brain Magnetic Resonance Tomograms |
| Fast | segmentation | of High-Resolution Satellite Images Using Watershed Transform Combined with an Efficient Region Merging Approach |
| Fast | segmentation | of Planar Surfaces in Range Images |
| Fast | segmentation | of porcelain images based on texture features |
| Fast | segmentation | of Range Imagery into Planar Regions |
| Fast | segmentation | of range images |
| Fast | segmentation | of Range Images by Scan Line Grouping |
| Fast | segmentation | of Range Images into Planar Regions |
| Fast | segmentation | of Retinal Blood Vessels Using a Deformable Contour Model |
| Fast | segmentation | of Sparse 3D Point Trajectories Using Group Theoretical Invariants |
| Fast | segmentation | of the JPEG Compressed Documents |
| Fast | segmentation | of the Mitral Valve Leaflet in Echocardiography |
| Fast | segmentation | of ultrasound images by incorporating spatial information into Rayleigh mixture model |
| Fast | segmentation | of ultrasound images using robust Rayleigh distribution decomposition |
| fast | segmentation | scheme for white blood cell images, A |
| Fast | segmentation | Using Level Set Curves of Complex Wavelet Surfaces |
| Fast | segmentation | via Randomized Hashing |
| Fast | segmentation | , conversion and rendering of volumetric data using GPU |
| Fast | segmentation | , Tracking, and Analysis of Deformable Objects |
| Fast Semantic Image | segmentation | for Autonomous Systems |
| Fast semantic scene | segmentation | with conditional random field |
| Fast Semantic | segmentation | on Video Using Block Motion-Based Feature Interpolation |
| Fast Semi-supervised | segmentation | of in Situ Tree Color Images |
| Fast Single Shot Instance | segmentation | |
| Fast Skin Lesion | segmentation | via Fully Convolutional Network with Residual Architecture and CRF |
| Fast Skin | segmentation | on Low-Resolution Grayscale Images for Remote PhotoPlethysmoGraphy |
| Fast Soft Color | segmentation | |
| Fast statistical level sets image | segmentation | for biomedical applications |
| Fast Superpixel | segmentation | via Boundary Sampling and Interpolation |
| Fast Superpixel-Based Hierarchical Approach to Image | segmentation | |
| Fast Surface | segmentation | Guided by User Input Using Implicit Extension of Minimal Paths |
| Fast Tailings Pond Mapping Exploiting Large Scene Remote Sensing Images by Coupling Scene Classification and Sematic | segmentation | Models |
| Fast Template Matching and Update for Video Object Tracking and | segmentation | |
| Fast texture | segmentation | model based on the shape operator and active contour |
| Fast Threshold Image | segmentation | Based on 2D Fuzzy Fisher and Random Local Optimized QPSO |
| Fast tissue | segmentation | based on a 4D feature map: Preliminary results |
| Fast Traffic Sign Recognition Using Color | segmentation | and Deep Convolutional Networks |
| Fast Trust Region for | segmentation | |
| Fast two-stage | segmentation | model for images with intensity inhomogeneity |
| Fast two-stage | segmentation | via non-local active contours in multiscale texture feature space |
| Fast two-step histogram-based image | segmentation | |
| Fast Two-View Motion | segmentation | Using Christoffel Polynomials |
| Fast Unsupervised Bayesian Image | segmentation | With Adaptive Spatial Regularisation |
| Fast Unsupervised | segmentation | of 3D Magnetic Resonance Angiography |
| Fast Unsupervised | segmentation | Using Active Contours and Belief Functions |
| Fast Unsupervised Texture | segmentation | Using Active Contours Model Driven by Bhattacharyya Gradient Flow |
| Fast User-Guided Video Object | segmentation | by Interaction-And-Propagation Networks |
| fast valley-based | segmentation | for detection of slowly moving objects, A |
| Fast variational multi-view | segmentation | through backprojection of spatial constraints |
| Fast Variational | segmentation | using Partial Extremal Initialization |
| Fast Video Instance | segmentation | via Recurrent Encoder-based Transformers |
| Fast Video Object | segmentation | by Reference-Guided Mask Propagation |
| Fast Video Object | segmentation | Using the Global Context Module |
| Fast Video Object | segmentation | via Dynamic Targeting Network |
| Fast Video Object | segmentation | With Temporal Aggregation Network and Dynamic Template Matching |
| fast watershed algorithm based on chain code and its application in image | segmentation | , A |
| Fast Weakly Supervised Action | segmentation | Using Mutual Consistency |
| Fast, Exact and Multi-scale Inference for Semantic Image | segmentation | with Deep Gaussian CRFs |
| Fast, Quality, | segmentation | of Large Volumes: Isoperimetric Distance Trees |
| Fast, robust and occlusion resilient motion based video | segmentation | |
| Fast, | segmentation | -Free, Method for Constructing a Biomechanical Model of the Breast from DCE-MRI Data, A |
| Fast, Simple, Accurate Multi-Atlas | segmentation | of the Brain |
| Faster Graph-Based | segmentation | Algorithm with Statistical Region Merge, A |
| Faster Multi-Object | segmentation | using Parallel Quadratic Pseudo-Boolean Optimization |
| Faster R-CNN, fourth-order partial differential equation and global-local active contour model (FPDE-GLACM) for plaque | segmentation | in IV-OCT image |
| Faster | segmentation | Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness |
| FastInst: A Simple Query-Based Model for Real-Time Instance | segmentation | |
| FastRoadSeg: Fast Monocular Road | segmentation | Network |
| FastVentricle: Cardiac | segmentation | with ENet |
| Fat: Field-Aware Transformer for 3D Point Cloud Semantic | segmentation | |
| Fault | segmentation | in fabric images using Gabor wavelet transform |
| FBSLS model for image | segmentation | |
| FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic | segmentation | |
| FC-RCCN: Fully convolutional residual continuous CRF network for semantic | segmentation | |
| FCAU-Net for the Semantic | segmentation | of Fine-Resolution Remotely Sensed Images |
| FCM with Spatial and Multiresolution Constraints for Image | segmentation | |
| FCP-Net: A Feature-Compression-Pyramid Network Guided by Game-Theoretic Interactions for Medical Image | segmentation | |
| FCUnet: Refined remote sensing image | segmentation | method based on a fuzzy deep learning conditional random field network |
| FDA: Fourier Domain Adaptation for Semantic | segmentation | |
| Feature Adaptive Co- | segmentation | by Complexity Awareness |
| Feature Augmented Deep Neural Networks for | segmentation | of Cells |
| Feature Based Hierarchical Video | segmentation | |
| Feature Disentanglement for Cross-Domain Retina Vessel | segmentation | |
| Feature Divide-and-Conquer Network for RGB-T Semantic | segmentation | , A |
| Feature Extraction and Grain | segmentation | of Sandstone Images Based on Convolutional Neural Networks |
| Feature extraction and soft | segmentation | of texture images |
| Feature Extraction and Tracking of CNN | segmentation | s for Improved Road Detection from Satellite Imagery |
| Feature Extraction by Rank-Order Filtering for Image | segmentation | |
| Feature extraction for man-made objects | segmentation | in aerial images |
| Feature Extraction for Quality Assessment of Aerial Image | segmentation | |
| Feature fusion and latent feature learning guided brain tumor | segmentation | and missing modality recovery network |
| Feature fusion for image texture | segmentation | |
| Feature fusion network based on attention mechanism for 3D semantic | segmentation | of point clouds |
| Feature Fusion With Predictive Weighting for Spectral Image Classification and | segmentation | |
| Feature Guided Pixel Matching and | segmentation | in Motion Image Sequences |
| Feature Pyramid Network for Multi-class Land | segmentation | |
| Feature pyramid U-Net for retinal vessel | segmentation | |
| Feature Quarrels: The Dempster-Shafer Evidence Theory for Image | segmentation | Using a Variational Framework |
| Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic | segmentation | |
| Feature Refinement Module for Light-Weight Semantic | segmentation | Network, A |
| Feature | segmentation | |
| Feature selection and patch-based | segmentation | in MRI for prostate radiotherapy |
| Feature Selection for Texture | segmentation | |
| Feature Sensitive Label Fusion With Random Walker for Atlas-Based Image | segmentation | |
| Feature space based image | segmentation | via density modification |
| Feature Space Clustering for Trabecular Bone | segmentation | |
| Feature Space Optimization for Semantic Video | segmentation | |
| Feature subspaces selection via one-class SVM: Application to textured image | segmentation | |
| Feature Surface Extraction and Reconstruction from Industrial Components Using Multistep | segmentation | and Optimization |
| Feature Weighted Active Contours for Image | segmentation | |
| Feature Weighting and Boosting for Few-Shot | segmentation | |
| Feature-based Approach for Dense | segmentation | and Estimation of Large Disparity Motion, A |
| Feature-Based Cluster | segmentation | of Image Sequences |
| feature-based region growing-merging approach to color image | segmentation | , A |
| Feature-Cut: Video object | segmentation | through local feature correspondences |
| Feature-Extraction and Image | segmentation | Using Self-Organizing Networks |
| Feature-Extraction from All-scale Neighborhoods with Applications To Semantic | segmentation | of Point Clouds |
| Feature-Extraction in Shape-Recognition Using | segmentation | of the Boundary Curve |
| Feature-Independent Action Spotting without Human Localization, | segmentation | , or Frame-wise Tracking |
| Feature-level Fusion for Object | segmentation | using Mutual Information |
| FedDG: Federated Domain Generalization on Medical Image | segmentation | via Episodic Learning in Continuous Frequency Space |
| FedDM: Federated Weakly Supervised | segmentation | via Annotation Calibration and Gradient De-Conflicting |
| FedDP: Dual Personalization in Federated Medical Image | segmentation | |
| Federated Incremental Semantic | segmentation | |
| Federated Multi-Organ | segmentation | With Inconsistent Labels |
| Federated Semi-Supervised Medical Image | segmentation | via Prototype-Based Pseudo-Labeling and Contrastive Learning |
| FedMix: Mixed Supervised Federated Learning for Medical Image | segmentation | |
| FedSeg: Class-Heterogeneous Federated Learning for Semantic | segmentation | |
| Feedback Convolutional Neural Network for Visual Localization and | segmentation | |
| Feedback U-net for Cell Image | segmentation | |
| Feedforward semantic | segmentation | with zoom-out features |
| FEELVOS: Fast End-To-End Embedding Learning for Video Object | segmentation | |
| Femoral head | segmentation | based on improved fully convolutional neural network for ultrasound images |
| Femur Bone | segmentation | Using a Pressure Analogy |
| Fetal Brain | segmentation | Using Convolutional Neural Networks with Fusion Strategies |
| Few-shot 3D Point Cloud Semantic | segmentation | |
| Few-shot hypercolumn-based mitochondria | segmentation | in cardiac and outer hair cells in focused ion beam-scanning electron microscopy (FIB-SEM) data |
| Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart | segmentation | |
| Few-Shot Learning of Part-Specific Probability Space for 3D Shape | segmentation | |
| few-shot learning-based ischemic stroke | segmentation | system using weighted MRI fusion, A |
| Few-shot Medical Image | segmentation | with Cycle-resemblance Attention |
| Few-shot | segmentation | for esophageal OCT images based on self-supervised vision transformer |
| Few-Shot | segmentation | for Prohibited Items Inspection With Patch-Based Self-Supervised Learning and Prototype Reverse Validation |
| Few-Shot | segmentation | via Divide-and-Conquer Proxies |
| Few-Shot | segmentation | With Optimal Transport Matching and Message Flow |
| Few-Shot | segmentation | Without Meta-Learning: A Good Transductive Inference Is All You Need? |
| Few-Shot Semantic | segmentation | via Frequency Guided Neural Network |
| Few-Shot Semantic | segmentation | with Cyclic Memory Network |
| Few-shot Semantic | segmentation | with Democratic Attention Networks |
| FFT snake: a robust and efficient method for the | segmentation | of arbitrarily shaped objects in image sequences |
| FGCN: Deep Feature-based Graph Convolutional Network for Semantic | segmentation | of Urban 3D Point Clouds |
| FgGAN: A Cascaded Unpaired Learning for Background Estimation and Foreground | segmentation | |
| FGN: Fully Guided Network for Few-Shot Instance | segmentation | |
| fiber tracking method guided by volumetric tract | segmentation | , A |
| Fibonet: A Light-weight and Efficient Neural Network for Image | segmentation | |
| FickleNet: Weakly and Semi-Supervised Semantic Image | segmentation | Using Stochastic Inference |
| FIFO: Learning Fog-invariant Features for Foggy Scene | segmentation | |
| Fig Plant | segmentation | from Aerial Images Using a Deep Convolutional Encoder-Decoder Network |
| Figure-Ground Image | segmentation | Helps Weakly-Supervised Learning of Objects |
| Figure-ground | segmentation | by transferring window masks |
| Figure-ground | segmentation | from occlusion |
| Figure-ground | segmentation | improves handled object recognition in egocentric video |
| Figure-ground | segmentation | using a hierarchical conditional random field |
| Figure-ground | segmentation | using factor graphs |
| Figure-Ground | segmentation | Using Tabu Search |
| Figure/ground video | segmentation | using greedy transductive cosegmentation |
| Figure/ground video | segmentation | via low-rank sparse learning |
| Filament Preserving | segmentation | for SAR Sea Ice Imagery Using a New Statistical Model |
| Filter Banks for Texture | segmentation | |
| Filter Based Map Estimation of Images with Integrated | segmentation | |
| Filtering airborne LiDAR data by embedding smoothness-constrained | segmentation | in progressive TIN densification |
| Filtering and | segmentation | of Digitized Land Use Map Images |
| Filtering and | segmentation | of Polarimetric SAR Data Based on Binary Partition Trees |
| Filtering of Artifacts and Pavement | segmentation | from Mobile LiDAR Data |
| Filtering | segmentation | cuts for digit string recognition |
| Finding Berries: | segmentation | and Counting of Cranberries using Point Supervision and Shape Priors |
| Finding dots: | segmentation | as popping out regions from boundaries |
| Finding Human Poses in Videos Using Concurrent Matching and | segmentation | |
| Finding Text in Natural Scenes by Figure-Ground | segmentation | |
| Finding the N-cuts of Watershed Partitions for Image | segmentation | |
| Finding the Number of Clusters for Nonparametric | segmentation | |
| Fine logarithmic adaptive soft morphological algorithm for synthetic aperture radar image | segmentation | |
| Fine-grained action | segmentation | using the semi-supervised action GAN |
| Fine-Grained Dataset and its Efficient Semantic | segmentation | for Unstructured Driving Scenarios, A |
| Fine-Grained Egocentric Hand-Object | segmentation | : Dataset, Model, and Applications |
| Fine-grained histopathological image analysis via robust | segmentation | and large-scale retrieval |
| Fine-Grained Human-Centric Tracklet | segmentation | with Single Frame Supervision |
| Fine-Grained Patch | segmentation | and Rasterization for 3-D Point Cloud Attribute Compression |
| Fine-Grained | segmentation | Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization |
| Fine-Grained | segmentation | Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization |
| Fine-Grained Self-Supervision for Generalizable Semantic | segmentation | |
| Fine-Grained Unsupervised Temporal Action | segmentation | and Distributed Representation for Skeleton-Based Human Motion Analysis |
| Fine-grained visual categorization with fine-tuned | segmentation | |
| Fine-Scale Sea Ice | segmentation | for High-Resolution Satellite Imagery with Weakly-Supervised CNNs |
| Fine-structured object | segmentation | via local and nonlocal neighborhood propagation |
| Fine-structured object | segmentation | via neighborhood propagation |
| fine-to-coarse-to-fine weakly supervised framework for volumetric SD-OCT image | segmentation | , A |
| Fingerprint Image | segmentation | Based on Quadric Surface Model |
| Fingerprint Image | segmentation | Method Based on MCMC&GA |
| Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground | segmentation | |
| Finite Prolate Spheroidal Sequences and Their Applications II: Image Feature Description and | segmentation | |
| Finite Sample Bias of Robust Estimators in | segmentation | of Closely Spaced Structures: A Comparative Study |
| Finsler Level Set | segmentation | for Imagery in Oriented Domains |
| Fire recognition based on correlation of | segmentation | s by image processing techniques |
| Fire scene | segmentation | s for forest fire characterization: A comparative study |
| Fire | segmentation | in Still Images |
| First International Newspaper | segmentation | contest |
| First International Workshop on Video | segmentation | - Panel Discussion |
| First Results for 3D Image | segmentation | with Topological Map |
| First Visual Object Tracking | segmentation | VOTS2023 Challenge Results, The |
| Fish Tracking and | segmentation | From Stereo Videos on the Wild Sea Surface for Electronic Monitoring of Rail Fishing |
| FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and | segmentation | |
| Fishyscapes Benchmark: Measuring Blind Spots in Semantic | segmentation | , The |
| Fishyscapes: A Benchmark for Safe Semantic | segmentation | in Autonomous Driving |
| Flat Zone Approach: A General Low-Level Region Merging | segmentation | Method, The |
| FLeak-Seg: Automated Fundus Fluorescein Leakage | segmentation | via Cross-Modal Attention Learning |
| Fleckmentation: rapid | segmentation | using repeated 2-means |
| Flexible architectures for retinal blood vessel | segmentation | in high-resolution fundus images |
| Flexible background mixture models for foreground | segmentation | |
| Flexible Bayesian Framework for Image | segmentation | , A |
| flexible framework for online document | segmentation | by pairwise stroke distance learning, A |
| Flexible image | segmentation | and quality assessment for real-time iris recognition |
| Flexible Mixture Models for Colour Image | segmentation | of Natural Images |
| Flexible Multi-modal Graph-Based | segmentation | |
| Flexible page | segmentation | using the background |
| Flexible | segmentation | and Smoothing of DT-MRI Fields Through a Customizable Structure Tensor |
| Flexible shapes for | segmentation | and tracking of cardiovascular data |
| FLIR Image | segmentation | and Natural Object Classification |
| Floating Xylene Spill | segmentation | from Ultraviolet Images via Target Enhancement |
| Flood Detection Using Real-Time Image | segmentation | from Unmanned Aerial Vehicles on Edge-Computing Platform |
| Flooding and MRF-based Algorithms for Interactive | segmentation | |
| Flooding and | segmentation | |
| Flooding-based | segmentation | for contactless hand biometrics oriented to mobile devices |
| FLoSS: Facility location for subspace | segmentation | |
| Flow Adaptive Video Object | segmentation | |
| Flow field texture representation-based motion | segmentation | for crowd counting |
| Flow-Based Line Detection and | segmentation | for Neuromorphic Vision Sensors |
| Flow-Edge Guided Unsupervised Video Object | segmentation | |
| Flow-guided feature propagation with occlusion aware detail enhancement for hand | segmentation | in egocentric videos |
| fluid dynamics-based deformable model for | segmentation | of cervical cell images, A |
| FO-DPSO Algorithm for | segmentation | and Detection of Diabetic Mellitus for Ulcers |
| FOANet: A Focus of Attention Network with Application to Myocardium | segmentation | |
| Focal and diffused liver disease classification from ultrasound images based on isocontour | segmentation | |
| Focal learning on stranger for imbalanced image | segmentation | |
| FocalClick: Towards Practical Interactive Image | segmentation | |
| Focus on Content not Noise: Improving Image Generation for Nuclei | segmentation | by Suppressing Steganography in CycleGAN |
| Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic | segmentation | |
| Focus, Segment and Erase: An Efficient Network for Multi-label Brain Tumor | segmentation | |
| Focus-aided scene | segmentation | |
| FocusCut: Diving into a Focus View in Interactive | segmentation | |
| Focused and Collaborative Feedback Integration for Interactive Image | segmentation | |
| Focused Target | segmentation | Paradigm, A |
| Font | segmentation | of non-rotated, printed symbols in the vector representation |
| FoodMask: Real-time food instance counting, | segmentation | and recognition |
| Forecasting Future Instance | segmentation | with Learned Optical Flow and Warping |
| Foreground and Shadow | segmentation | Based on a Homography-Correspondence Pair |
| Foreground Background | segmentation | in Front of Changing Footage on a Video Screen |
| Foreground object | segmentation | for moving camera sequences based on foreground-background probabilistic models and prior probability maps |
| Foreground prediction for bilayer | segmentation | of videos |
| Foreground | segmentation | by Combining Color and Depth Images |
| Foreground | segmentation | for dynamic scenes with sudden illumination changes |
| Foreground | segmentation | in Videos Combining General Gaussian Mixture Modeling and Spatial Information |
| Foreground | segmentation | of live videos using locally competing 1SVMs |
| Foreground | segmentation | Using Adaptive 3 Phase Background Model |
| Foreground | segmentation | Using Adaptive Mixture Models in Color and Depth |
| Foreground | segmentation | using convolutional neural networks for multiscale feature encoding |
| Foreground | segmentation | via Background Modeling on Riemannian Manifolds |
| Foreground | segmentation | via Dynamic Programming |
| Foreground | segmentation | via Dynamic Tree-Structured Sparse RPCA |
| Foreground | segmentation | with Tree-Structured Sparse RPCA |
| Foreground text | segmentation | in complex color document images using Gabor filters |
| Foreground-Aware Relation Network for Geospatial Object | segmentation | in High Spatial Resolution Remote Sensing Imagery |
| Foreground-background | segmentation | by Cellular Neural Networks |
| Foreground-Background | segmentation | of Optical Character-Recognition Labels by a Single Layer Recurrent Neural-Network |
| Foreground-background | segmentation | using iterated distribution matching |
| Foreground-specialized Model Imitation for Instance | segmentation | |
| Foreground/background | segmentation | in videotelephony |
| Foreground/background | segmentation | of color images by integration of multiple cues |
| Forest Fire | segmentation | from Aerial Imagery Data Using an Improved Instance Segmentation Model |
| Forest Fire | segmentation | from Aerial Imagery Data Using an Improved Instance Segmentation Model |
| Forest Stand Delineation Using a Hybrid | segmentation | Approach Based on Airborne Laser Scanning Data |
| Forest Stand | segmentation | Using Airborne Lidar Data And Very High Resolution Multispectral Imagery |
| Forest Type Mapping using Object-specific Texture Measures from Multispectral Ikonos Imagery: | segmentation | Quality and Image Classification Issues |
| Forest/Nonforest | segmentation | Using Sentinel-1 and -2 Data Fusion in the Bajo Cauca Subregion in Colombia |
| ForestDet: Large-Vocabulary Long-Tailed Object Detection and Instance | segmentation | |
| formal method for selecting evaluation metrics for image | segmentation | , A |
| Formulation For Unsupervised Hierarchical | segmentation | Of Facade Images with Periodic Models, A |
| formulation of boundary mesh | segmentation | , A |
| FOSSIL: Free Open-Vocabulary Semantic | segmentation | through Synthetic References Retrieval |
| Foundation Model Assisted Weakly Supervised Semantic | segmentation | |
| Foundation Model Drives Weakly Incremental Learning for Semantic | segmentation | |
| Four-Chamber Heart Modeling and Automatic | segmentation | for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features |
| Four-Color Theorem and Level Set Methods for Watershed | segmentation | |
| Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium | segmentation | |
| Fourier Vision: | segmentation | and Velocity Measurement Using the Fourier Transform |
| FourierMask: Instance | segmentation | Using Fourier Mapping in Implicit Neural Networks |
| FourierNet: Compact Mask Representation for Instance | segmentation | Using Differentiable Shape Decoders |
| Foveal Image | segmentation | using Hierarchical Irregular Tessellations |
| Foveated Figure-Ground | segmentation | and Its Role in Recognition |
| Foveated Shot Detection for Video | segmentation | |
| FPGA implementation of particle swarm optimization based on new fitness function for MRI images | segmentation | |
| FPGA-based accurate star | segmentation | with moon interference |
| FPGA-based architecture for real time | segmentation | and denoising of HD video |
| FPGA-Based Implementation of Spatio-Temporal Object | segmentation | , An |
| FPGA-based Smart Camera for 3D wavelet-based image | segmentation | |
| FPIseg: Iterative | segmentation | network based on feature pyramid for few-shot segmentation |
| FPIseg: Iterative | segmentation | network based on feature pyramid for few-shot segmentation |
| FPR: False Positive Rectification for Weakly Supervised Semantic | segmentation | |
| FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud | segmentation | |
| FR-Net: Joint Reconstruction and | segmentation | in Compressed Sensing Cardiac MRI |
| Fractal Modeling and | segmentation | for the Enhancement of Microcalcifications in Digital Mammograms |
| Fractal Projection and Markovian | segmentation | -Based Approach for Multimodal Change Detection, A |
| Fractal Texture | segmentation | |
| Fractional Discrimination for Texture Image | segmentation | |
| Fractional Holder mean-based image | segmentation | for mouse behavior analysis in conditional place preference test |
| Frame adaptive | segmentation | for model-based videophone coding |
| Frame differencing-based | segmentation | for low bit rate video codec using H.264 |
| Frame rate up-conversion based on motion-region | segmentation | |
| Frame representations for texture | segmentation | |
| Frame-Rate Up-Conversion Using Transmitted Motion and | segmentation | Fields for Very Low Bit-Rate Video Coding |
| Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic | segmentation | |
| Framelet-Based Algorithm for | segmentation | of Tubular Structures |
| Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based | segmentation | , A |
| Framework for Automatic | segmentation | of Lung Nodules from Low Dose Chest CT Scans, A |
| Framework for Classification and | segmentation | of Branch Retinal Artery Occlusion in SD-OCT, A |
| framework for comparing different image | segmentation | methods and its use in studying equivalences between level set and fuzzy connectedness frameworks, A |
| Framework for Comparing | segmentation | Algorithms |
| framework for constrained multi-scale range image | segmentation | , A |
| Framework for Evaluating Video Object | segmentation | Algorithms, A |
| Framework for False Positive Suppression in Video | segmentation | , A |
| framework for head pose estimation and face | segmentation | through conditional random fields, A |
| Framework for Image | segmentation | Using Shape Models and Kernel Space Shape Priors, A |
| Framework for Online | segmentation | and Classification of Modeled Actions Performed in the Context of Unmodeled Ones, A |
| framework for retinal vessel | segmentation | from fundus images using hybrid feature set and hierarchical classification, A |
| Framework for | segmentation | of Talk and Game Shows, A |
| Framework for | segmentation | Using Physical Models of Image Formation, A |
| framework for the efficient | segmentation | of large-format color images, A |
| Framework for Unsupervised | segmentation | of Lung Tissues from Low Dose Computed Tomography Images, A |
| Framework for Unsupervised | segmentation | of Multi-modal Medical Images, A |
| framework of fuzzy information fusion for the | segmentation | of brain tumor tissues on MR images, A |
| Framework to Combine Multi-Object Video | segmentation | and Tracking, A |
| Framework-agnostic Semantically-aware Global Reasoning for | segmentation | |
| Free Hand-Drawn Sketch | segmentation | |
| Free-form image registration regularized by a statistical shape model: application to organ | segmentation | in cervical MR |
| Free-form object | segmentation | and representation from registered range and color images |
| FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object | segmentation | |
| FreeSeg: Unified, Universal and Open-Vocabulary Image | segmentation | |
| FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image | segmentation | |
| Frequential and color analysis for hair mask | segmentation | |
| Fringe Map Based Text Line | segmentation | of Printed Telugu Document Images |
| FRNet: Factorized and Regular Blocks Network for Semantic | segmentation | in Road Scene |
| From 3D to 2D: Transferring knowledge for rib | segmentation | in chest X-rays |
| From CAD Models to Soft Point Cloud Labels: An Automatic Annotation Pipeline for Cheaply Supervised 3D Semantic | segmentation | |
| From cell image | segmentation | to differential diagnosis of thyroid cancer |
| From co-saliency to co- | segmentation | : An efficient and fully unsupervised energy minimization model |
| From Contexts to Locality: Ultra-high Resolution Image | segmentation | via Locality-aware Contextual Correlation |
| From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image | segmentation | |
| From Digital Plane | segmentation | to Polyhedral Representation |
| From Forks to Forceps: A New Framework for Instance | segmentation | of Surgical Instruments |
| From Garment to Skin: The visuAAL Skin | segmentation | Dataset |
| From Label Maps to Label Strokes: Semantic | segmentation | for Street Scenes from Incomplete Training Data |
| From ligatures to characters: a shape-based algorithm for handwriting | segmentation | |
| From Logo to Object | segmentation | |
| From neonatal to adult brain MR image | segmentation | in a few seconds using 3D-like fully convolutional network and transfer learning |
| From On-Road to Off: Transfer Learning Within a Deep Convolutional Neural Network for | segmentation | and Classification of Off-Road Scenes |
| From Pixels to Semantics: Self-Supervised Video Object | segmentation | With Multiperspective Feature Mining |
| From Pose to Part: Weakly-Supervised Pose Evolution for Human Part | segmentation | |
| From Ramp Discontinuities to | segmentation | Tree |
| From Shadow | segmentation | to Shadow Removal |
| From Text Detection to Text | segmentation | : A Unified Evaluation Scheme |
| From Uncertainties to Statistical Model Building and | segmentation | of the Left Ventricle |
| From Video Shot Clustering to Sequence | segmentation | |
| From Weakly Supervised Object Localization to Semantic | segmentation | by Probabilistic Image Modeling |
| Frozen is better than learning: A new design of prototype-based classifier for semantic | segmentation | |
| FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography | segmentation | Using Stacked LSTM Based Siamese Network |
| FsaNet: Frequency Self-Attention for Semantic | segmentation | |
| FSRSS-Net: High-Resolution Mapping of Buildings from Middle-Resolution Satellite Images Using a Super-Resolution Semantic | segmentation | Network |
| FSS-1000: A 1000-Class Dataset for Few-Shot | segmentation | |
| Fua and Leclerc Guided | segmentation | Papers |
| Full Contextual Attention for Multi-resolution Transformers in Semantic | segmentation | |
| Full Motion Focus: Convolutional Module for Improved Left Ventricle | segmentation | Over 4D MRI |
| Full-Duplex Strategy for Video Object | segmentation | |
| Full-parameter adaptive fuzzy clustering for noise image | segmentation | based on non-local and local spatial information |
| Full-range affinities for graph-based | segmentation | |
| Full-Resolution Residual Networks for Semantic | segmentation | in Street Scenes |
| Full-scale attention network for automated organ | segmentation | on head and neck CT and MR images |
| Full-scale Selective Transformer for Semantic | segmentation | |
| Fully and Weakly Supervised Referring Expression | segmentation | With End-to-End Learning |
| Fully automated 3D colon | segmentation | for early detection of colorectal cancer based on convex formulation of the active contour model |
| Fully Automated Brain Tumor | segmentation | Using Two MRI Modalities |
| Fully automated brain tumour | segmentation | system in 3D-MRI using symmetry analysis of brain and level sets |
| Fully automated glioma tumour | segmentation | using anatomical symmetry plane detection in multimodal brain MRI |
| fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image | segmentation | , A |
| Fully automated liver | segmentation | for low- and high- contrast CT volumes based on probabilistic atlases |
| Fully Automated Method for 3D Individual Tooth Identification and | segmentation | in Dental CBCT, A |
| Fully Automated Model-Based Prostate Boundary | segmentation | Using Markov Random Field in Ultrasound Images |
| Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma | segmentation | and IDH Genotyping, A |
| Fully Automated Non-rigid | segmentation | with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference |
| Fully Automated Scan-to-BIM Via Point Cloud Instance | segmentation | |
| Fully automated | segmentation | and morphometrical analysis of muscle fibre images |
| Fully Automated | segmentation | of 2D and 3D Mobile Mapping Data for Reliable Modeling of Surface Structures Using Deep Learning |
| Fully Automated Three-Stage Procedure for Spatio-Temporal Leaf | segmentation | with Regard to the B-Spline-Based Phenotyping of Cucumber Plants, A |
| Fully automatic 3-D | segmentation | of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI) |
| Fully automatic and | segmentation | -robust classification of breast tumors based on local texture analysis of ultrasound images |
| Fully automatic brain tumor extraction and tissue | segmentation | from multimodal MRI brain images |
| Fully Automatic Brain Tumor | segmentation | by Using Competitive EM and Graph Cut |
| Fully automatic brain tumor | segmentation | using a normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow |
| Fully Automatic Breast Ultrasound Image | segmentation | Approach Based on Neutro-Connectedness, A |
| Fully Automatic Cervical Vertebrae | segmentation | Via Enhanced U2-Net |
| Fully automatic CNN-based | segmentation | of retinal bifurcations in 2D adaptive optics ophthalmoscopy images |
| Fully Automatic Left Atrium | segmentation | From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network |
| Fully Automatic Liver Volumetry Using 3D Level Set | segmentation | for Differentiated Liver Tissue Types in Multiple Contrast MR Datasets |
| Fully automatic luminal contour | segmentation | in intracoronary ultrasound imaging-a statistical approach |
| fully automatic method for biological target volume | segmentation | of brain metastases, A |
| Fully automatic method for | segmentation | of brain tumor from multimodal magnetic resonance images using wavelet transformation and clustering technique |
| Fully Automatic Myocardial | segmentation | of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model |
| Fully automatic person | segmentation | in unconstrained video using spatio-temporal conditional random fields |
| Fully automatic prostate | segmentation | in MR images using a new hybrid active contour-based approach |
| Fully Automatic | segmentation | of AP Pelvis X-rays via Random Forest Regression and Hierarchical Sparse Shape Composition |
| Fully automatic | segmentation | of AP pelvis X-rays via random forest regression with efficient feature selection and hierarchical sparse shape composition |
| Fully automatic | segmentation | of breast ultrasound images based on breast characteristics in space and frequency domains |
| Fully Automatic | segmentation | of Coronary Vessel Structures in Poor Quality X-Ray Angiogram Images |
| Fully Automatic | segmentation | of Hip CT Images via Random Forest Regression-Based Atlas Selection and Optimal Graph Search-Based Surface Detection |
| Fully Automatic | segmentation | of MRI Brain Images Using Probabilistic Anisotropic Diffusion and Multi-scale Watersheds |
| Fully Automatic | segmentation | of the Left Ventricle Using Multi-Scale Fusion Learning |
| Fully Automatic | segmentation | of the Proximal Femur Using Random Forest Regression Voting |
| Fully automatic spatiotemporal | segmentation | of 3D LiDAR time series for the extraction of natural surface changes |
| Fully automatized parallel | segmentation | of the optic disc in retinal fundus images |
| Fully Bayesian Image | segmentation | : An Engineering Perspective |
| Fully connected CRF with data-driven prior for multi-class brain tumor | segmentation | |
| Fully Connected Object Proposals for Video | segmentation | |
| Fully Convolutional Adaptation Networks for Semantic | segmentation | |
| Fully Convolutional and Feedforward Networks for The Semantic | segmentation | of Remotely Sensed Images |
| Fully Convolutional Architectures for Multiclass | segmentation | in Chest Radiographs |
| Fully Convolutional Instance-Aware Semantic | segmentation | |
| Fully Convolutional Network and Graph-Based Method for Co- | segmentation | of Retinal Layer on Macular OCT Images |
| Fully convolutional network with dilated convolutions for handwritten text line | segmentation | |
| Fully Convolutional Network with Superpixel Parsing for Fashion Web Image | segmentation | |
| Fully Convolutional Networks for Panoptic | segmentation | |
| Fully Convolutional Networks for Panoptic | segmentation | With Point-Based Supervision |
| Fully Convolutional Networks for Semantic | segmentation | |
| Fully Convolutional Neural Network for Lungs | segmentation | from Chest X-Rays |
| Fully Convolutional Neural Network for Rapid Flood | segmentation | in Synthetic Aperture Radar Imagery |
| Fully Convolutional Neural Networks for Raw Eye Tracking Data | segmentation | , Generation, and Reconstruction |
| Fully Convolutional Neural Networks for Tissue Histopathology Image Classification and | segmentation | |
| Fully Convolutional Transformer for Medical Image | segmentation | , The |
| Fully Deep Convolutional Neural Networks for | segmentation | of the Prostate Gland in Diffusion-Weighted MR Images |
| Fully Global Approach to Image | segmentation | via Coupled Curve Evolution Equations, A |
| fully implicit alternating direction method of multipliers for the minimization of convex problems with an application to motion | segmentation | , A |
| Fully Understanding Generic Objects: Modeling, | segmentation | , and Reconstruction |
| Fully unsupervised clustering using centre-surround receptive fields with applications to colour- | segmentation | |
| fully unsupervised color textured image | segmentation | algorithm using weighted mean histograms features, A |
| Fully Unsupervised Texture | segmentation | Algorithm, A |
| Fully-automatic raw G-band chromosome image | segmentation | |
| Fully-Automatic | segmentation | of Cardiac Images Using 3-D MRF Model Optimization and Substructures Tracking |
| Fully-Automatic | segmentation | of the Brain in MRI |
| Fully-connected semantic | segmentation | of hyperspectral and LiDAR data |
| Fully-Convolutional Framework for Semantic | segmentation | , A |
| Function for Quality Evaluation of Retinal Vessel | segmentation | s, A |
| Functional Simplification of the BCS/FCS Image | segmentation | , A |
| Functional template-based SAR image | segmentation | |
| Functional-Based | segmentation | of Human Body Scans in Arbitrary Postures, A |
| Further Investigations on | segmentation | Quality Assessment for Remote Sensing Applications |
| Fuse-PN: A Novel Architecture for Anomaly Pattern | segmentation | in Aerial Agricultural Images |
| Fused 3-Stage Image | segmentation | for Pleural Effusion Cell Clusters |
| Fused Text | segmentation | Networks for Multi-oriented Scene Text Detection |
| FuseNet: Incorporating Depth into Semantic | segmentation | via Fusion-Based CNN Architecture |
| FuseSeg: LiDAR Point Cloud | segmentation | Fusing Multi-Modal Data |
| Fusing Complementary Operators to Enhance Foreground/Background | segmentation | |
| Fusing Edge Cues to Handle Colour Problems in Image | segmentation | |
| Fusing feature and output space for unsupervised domain adaptation on medical image | segmentation | |
| Fusing Geometry and Appearance for Road | segmentation | |
| Fusing Image and | segmentation | Cues for Skeleton Extraction in the Wild |
| Fusing Shape Information in Lung | segmentation | in Chest Radiographs |
| Fusion Algorithm: Fully Convolutional Networks and Student's T Mixture Model for Brain Magnetic Resonance Imaging | segmentation | , A |
| Fusion of a Multiple Hypotheses Color Model and Deformable Contours for Figure Ground | segmentation | in Dynamic Environments |
| Fusion of Color and Edge Information for Improved | segmentation | and Edge Linking |
| Fusion of Color, Shading and Boundary Information for Factory Pipe | segmentation | |
| Fusion of Edge Information in Markov Random Fields Region Growing Image | segmentation | |
| Fusion of ground truths and hierarchies of | segmentation | s |
| Fusion of image | segmentation | algorithms using consensus clustering |
| Fusion of Image | segmentation | s under Markov, Random Fields |
| Fusion of Images after | segmentation | by Various Operators and Interpretation by a Multi-Scale Fuzzy Classification |
| Fusion of images and point clouds for the semantic | segmentation | of large-scale 3D scenes based on deep learning |
| Fusion of Iris | segmentation | Results |
| Fusion of Lidar and Hyperspectral Data for Semantic | segmentation | Of Forest Tree Species |
| Fusion of Novel Iris | segmentation | Quality Metrics for Failure Detection |
| Fusion of Spatially Heterogeneous GNSS and InSAR Deformation Data Using a Multiresolution | segmentation | Algorithm and Its Application in the Inversion of Slip Distribution |
| Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D | segmentation | of the Prostate |
| Fusion of visual cues of intensity and texture in Markov random fields image | segmentation | |
| Fusion Target Attention Mask Generation Network For Video | segmentation | |
| fusion-attention swin transformer for cardiac MRI image | segmentation | , A |
| Fusion-Aware Point Convolution for Online Semantic 3D Scene | segmentation | |
| Fusion-Based Semantic | segmentation | Using Deep Learning Architecture in Case of Very Small Training Dataset |
| Fusion-SUNet: Spatial Layout Consistency for 3D Semantic | segmentation | |
| FusionLane: Multi-Sensor Fusion for Lane Marking Semantic | segmentation | Using Deep Neural Networks |
| FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic | segmentation | of Generic Objects in Videos |
| Fuzzy aggregated connectedness for image | segmentation | |
| Fuzzy C means integrated with spatial information and contrast enhancement for | segmentation | of MR brain images |
| Fuzzy C-Means Algorithm for Fingerprint | segmentation | , A |
| Fuzzy C-Means Algorithm for | segmentation | of Aerial Photography Data Obtained Using Unmanned Aerial Vehicle |
| Fuzzy c-means based plant | segmentation | with distance dependent threshold |
| Fuzzy C-Means Based Spatial Pixel and Membership Relationships for Image | segmentation | , A |
| Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image | segmentation | |
| fuzzy clustering algorithm with spatial robust estimation constraint for noisy color image | segmentation | , A |
| Fuzzy Clustering and Active Contours for Histopathology Image | segmentation | and Nuclei Detection |
| fuzzy clustering image | segmentation | algorithm based on Hidden Markov Random Field models and Voronoi Tessellation, A |
| Fuzzy Clustering of Seismic Sequences: | segmentation | of Time-Frequency Representations |
| Fuzzy clustering-based image | segmentation | techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative analysis |
| Fuzzy color histogram-based video | segmentation | |
| Fuzzy connectedness and image | segmentation | |
| Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image | segmentation | |
| Fuzzy Connectedness Image | segmentation | in Graph Cut Formulation: A Linear-Time Algorithm and a Comparative Analysis |
| Fuzzy Connectedness | segmentation | : A Brief Presentation of the Literature |
| Fuzzy energy based active contours model for HR-PQCT cortical bone | segmentation | |
| fuzzy energy-based active contour model with adaptive contrast constraint for local | segmentation | , A |
| Fuzzy entropy-based MR brain image | segmentation | using modified particle swarm optimization |
| Fuzzy expert system for foot CT image | segmentation | |
| fuzzy framework with prior information unifying registration, | segmentation | and bias field correction of brain MRI, A |
| Fuzzy generalized fast marching method for 3D | segmentation | of brain structures |
| Fuzzy Geometric Active Contour Method for Image | segmentation | , A |
| Fuzzy homogeneity and scale-space approach to color image | segmentation | |
| Fuzzy Image | segmentation | of Generic Shaped Clusters |
| fuzzy integral for color seal | segmentation | on document images, The |
| Fuzzy Locally Adaptive Bayesian | segmentation | Approach for Volume Determination in PET, A |
| Fuzzy logic and local features based medical image | segmentation | |
| fuzzy logic approach to image | segmentation | , A |
| Fuzzy Logic Based | segmentation | of Microcalcification in Breast Using Digital Mammograms Considering Multiresolution |
| Fuzzy Markov Random Fields versus Chains for Multispectral Image | segmentation | |
| Fuzzy Markovian | segmentation | in Application of Magnetic Resonance Images |
| Fuzzy Mode Enhancement and Detection for Color Image | segmentation | |
| Fuzzy model-based clustering and its application in image | segmentation | |
| Fuzzy Modeling of Knowledge for MRI Brain Structure | segmentation | |
| Fuzzy Morphology for Edge Detection and | segmentation | |
| Fuzzy Positive Learning for Semi-Supervised Semantic | segmentation | |
| Fuzzy Region Competition: A Convex Two-Phase | segmentation | Framework |
| Fuzzy Region Growing Approach for | segmentation | of Color Images, A |
| Fuzzy Region-Growing | segmentation | of Natural Images Using Local Fractal Dimension |
| Fuzzy relations applied to minimize over | segmentation | in watershed algorithms |
| Fuzzy Rule Based Document Image | segmentation | for Component Labeling |
| Fuzzy rule for image | segmentation | incorporating texture features |
| fuzzy rule-based colour image | segmentation | algorithm, A |
| Fuzzy Rule-Based Image | segmentation | technique for rock thin section images |
| Fuzzy | segmentation | and astronomical images interpretation |
| Fuzzy | segmentation | and Graphemes Modeling for Online Arabic Handwriting Recognition |
| Fuzzy | segmentation | and structural knowledge for satellite image analysis |
| Fuzzy | segmentation | for the Exploratory Analysis of Multidimensional Signals: Example From a Study on Driver Overtaking Behavior |
| Fuzzy | segmentation | Method for Images of Heat-Emitting Objects, A |
| Fuzzy | segmentation | of Characters in Web Images Based on Human Colour Perception |
| Fuzzy | segmentation | of the Left Ventricle in Cardiac MRI Using Physiological Constraints |
| Fuzzy Sparse Subspace Clustering for Infrared Image | segmentation | |
| Fuzzy Spatial Growing for Glioblastoma Multiforme | segmentation | on Brain Magnetic Resonance Imaging |
| Fuzzy Superpixel-based Image | segmentation | |
| Fuzzy System Learned Through Fuzzy Clustering and Support Vector Machine for Human Skin Color | segmentation | |
| Fuzzy Temporal | segmentation | and Probabilistic Recognition of Continuous Human Daily Activities |
| fuzzy theoretic approach for video | segmentation | using syntactic features, A |
| Fuzzy Threshold | segmentation | |
| Fuzzy, Nonparametric | segmentation | Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction, A |
| Fuzzy-based artificial bee colony optimization for gray image | segmentation | |
| Fuzzy-based Pseudo | segmentation | Approach for Handwritten Word Recognition Using a Sequence to Sequence Model with Attention |
| Fuzzy-based unsupervised | segmentation | of textured color images |
| Fuzzy-connected 3D image | segmentation | at interactive speeds |
| Fuzzy-Cuts: A knowledge-driven graph-based method for medical image | segmentation | |
| Fuzzy-logic Based Information Fusion for Image | segmentation | |
| Fuzzy-Snake | segmentation | of Anatomical Structures Applied to CT Images |
| FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image | segmentation | |
| G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image | segmentation | |
| G-wire: A livewire | segmentation | algorithm based on a generalized graph formulation |
| GA-NET: Global Attention Network for Point Cloud Semantic | segmentation | |
| Gabor Filter Analysis for Texture | segmentation | |
| Gabor Filter Design for Multiple Texture | segmentation | |
| Gabor Filter-Based | segmentation | of Railroad Radargrams for Improved Rail Track Condition Assessment: Preliminary Studies and Future Perspectives |
| Gabor vs. Circular Mellin Fuction Based Approaches for Texture | segmentation | |
| Gabor wavelet based vessel | segmentation | in retinal images |
| Gabor-Based Recognizer for Chinese Handwriting from | segmentation | -Free Strategy |
| Gabor-Based Tensor Level Set Method for Multiregional Image | segmentation | , The |
| GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic | segmentation | |
| Gallbladder | segmentation | from 2-D Ultrasound Images Using Active Contour Models and Gradient Vector Flow |
| GAMA: Geometric analysis based motion-aware architecture for moving object | segmentation | |
| Game-Theoretic Framework for Landmark-Based Image | segmentation | , A |
| Game-Theoretic Integration for Image | segmentation | |
| Gamifying Video Object | segmentation | |
| Gamma Knife treatment planning: MR brain tumor | segmentation | and volume measurement based on unsupervised Fuzzy C-Means clustering |
| Gan-Based Super-Resolution and | segmentation | of Retinal Layers in Optical Coherence Tomography Scans |
| GAN-segNet: A deep generative adversarial | segmentation | network for brain tumor semantic segmentation |
| GAN-segNet: A deep generative adversarial | segmentation | network for brain tumor semantic segmentation |
| GANORCON: Are Generative Models Useful for Few-shot | segmentation | ? |
| GapLoss: A Loss Function for Semantic | segmentation | of Roads in Remote Sensing Images |
| GaPro: Box-Supervised 3D Point Cloud Instance | segmentation | Using Gaussian Processes as Pseudo Labelers |
| GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance | segmentation | |
| Gastrointestinal diseases | segmentation | and classification based on duo-deep architectures |
| Gated Convolutional Neural Network for Semantic | segmentation | in High-Resolution Images |
| Gated Path Selection Network for Semantic | segmentation | |
| Gated Recurrent Network With Dual Classification Assistance for Smoke Semantic | segmentation | , A |
| Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal | segmentation | |
| Gated-Residual Block for Semantic | segmentation | Using RGB-D Data |
| Gated-SCNN: Gated Shape CNNs for Semantic | segmentation | |
| Gaussian Conditional Random Field Network for Semantic | segmentation | |
| Gaussian Dynamic Convolution for Efficient Single-Image | segmentation | |
| Gaussian Dynamic Convolution for Semantic | segmentation | in Remote Sensing Images |
| Gaussian Markov random field based improved texture descriptor for image | segmentation | |
| Gaussian mixture models and information entropy for image | segmentation | using particle swarm optimisation |
| Gaussian Process Shape Models for Bayesian | segmentation | of Plant Leaves |
| Gaussian | segmentation | and Tokenization for Low Cost Language Identification |
| Gaussian-Mixture-Based Image | segmentation | Algorithm, A |
| GaussianMask: Uncertainty-aware Instance | segmentation | based on Gaussian Modeling |
| Gaze-Based Object | segmentation | |
| Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image | segmentation | |
| GC-ASM: Synergistic integration of graph-cut and active shape model strategies for medical image | segmentation | |
| GCBANet: A Global Context Boundary-Aware Network for SAR Ship Instance | segmentation | |
| GCE-based model for the fusion of multiples color image | segmentation | s |
| GECNN for Weakly Supervised Semantic | segmentation | of 3D Point Clouds |
| Gender and Expression Analysis Based on Semantic Face | segmentation | |
| General adaptive distance transforms on gray tone images: Application to image | segmentation | |
| General Adaptive Neighborhood Image Restoration, Enhancement and | segmentation | |
| General and Balanced Region-Based Metric for Evaluating Medical Image | segmentation | Algorithms, A |
| General Bayesian Markov Random Field Model for Probabilistic Image | segmentation | , A |
| General Deep Learning | segmentation | Process Used In Remote Sensing Images |
| General Discrete Contour Model in Two, Three, and Four Dimensions for Topology-Adaptive Multichannel | segmentation | , A |
| General Framework for Context-Specific Image | segmentation | Using Reinforcement Learning, A |
| General Framework for Motion | segmentation | : Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate, A |
| general framework for reconciling multiple weak | segmentation | s of an image, A |
| General Framework for Temporal Video Scene | segmentation | , A |
| General framework for unsupervised evaluation of quality of | segmentation | results |
| General Method for Unsupervised | segmentation | of Images Using a Multiscale Approach, A |
| General Method of | segmentation | -Recognition Collaboration Applied to Pairs of Touching and Overlapping Symbols, A |
| General Model-Based 3D Surface Estimation, Recognition and | segmentation | from Multiple Images |
| General Retinal Vessel | segmentation | Using Regularization-Based Multiconcavity Modeling |
| General Theory of Fuzzy Connectedness | segmentation | s |
| Generalised rough intuitionistic fuzzy c-means for magnetic resonance brain image | segmentation | |
| Generalising multistain immunohistochemistry tissue | segmentation | using end-to-end colour deconvolution deep neural networks |
| Generalist Framework for Panoptic | segmentation | of Images and Videos, A |
| generalizable approach based on the U-Net model for automatic intraretinal cyst | segmentation | in SD-OCT images, A |
| Generalizable Cross-modality Medical Image | segmentation | via Style Augmentation and Dual Normalization |
| Generalizable Medical Image | segmentation | via Random Amplitude Mixup and Domain-Specific Image Restoration |
| Generalizable model-agnostic semantic | segmentation | via target-specific normalization |
| Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic | segmentation | |
| Generalization of Otsu's binarization into recursive colour image | segmentation | |
| Generalization of the shortest path approach for superpixel | segmentation | of omnidirectional images |
| Generalization-oriented road line | segmentation | by means of an artificial neural network applied over a moving window |
| Generalize then Adapt: Source-Free Domain Adaptive Semantic | segmentation | |
| Generalized and Robust Framework for Timestamp Supervision in Temporal Action | segmentation | , A |
| Generalized Asymmetric Dual-Front Model for Active Contours and Image | segmentation | , A |
| Generalized ellipsoids and anisotropic filtering for | segmentation | improvement in 3D medical imaging |
| Generalized Few-Shot Point Cloud | segmentation | Via Geometric Words |
| Generalized Few-shot Semantic | segmentation | |
| Generalized Flooding and Multicue PDE-Based Image | segmentation | |
| Generalized framework for image and video object | segmentation | using affinity learning and message passing GNNS |
| Generalized Framework for Video Instance | segmentation | , A |
| generalized graph reduction framework for interactive | segmentation | of large images, A |
| Generalized Hard Constraints for Graph | segmentation | |
| Generalized Level Set Formulation of the Mumford-Shah Functional with Shape Prior for Medical Image | segmentation | , A |
| Generalized Log-Ratio Transformation: Learning Shape and Adjacency Priors for Simultaneous Thigh Muscle | segmentation | , The |
| Generalized PCRTT Offline Bandwidth Smoothing Based on SVM and Systematic Video | segmentation | |
| Generalized playfield | segmentation | of sport videos using color features |
| Generalized Random Walk With Restart and its Application in Depth Up-Sampling and Interactive | segmentation | , A |
| Generalized Region Labeling Algorithm for Image Coding, Restoration, and | segmentation | , A |
| Generalized Shortest Path-based Superpixels for Accurate | segmentation | of Spherical Images |
| Generalized simultaneous registration and | segmentation | |
| Generalized Sparse Convolutional Neural Networks for Semantic | segmentation | of Point Clouds Derived from Tri-Stereo Satellite Imagery |
| Generalized Voronoi Tesselations for Vector-Valued Image | segmentation | |
| Generalizing AUC Optimization to Multiclass Classification for Audio | segmentation | With Limited Training Data |
| Generalizing Deep Learning for Medical Image | segmentation | to Unseen Domains via Deep Stacked Transformation |
| Generalizing edge detection to contour detection for image | segmentation | |
| Generalizing Hand | segmentation | in Egocentric Videos With Uncertainty-Guided Model Adaptation |
| Generalizing Mumford-Shah Model for Multiphase Piecewise Smooth Image | segmentation | |
| Generated Pseudo-Labels Guided by Background Skeletons for Overcoming Under- | segmentation | in Overlapping Particle Objects |
| Generating 3D Bio-Printable Patches Using Wound | segmentation | and Reconstruction to Treat Diabetic Foot Ulcers |
| Generating Object | segmentation | Proposals Using Global and Local Search |
| Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography | segmentation | |
| Generation and Initialization of Stable 3D Mass-Spring Models for the | segmentation | of the Thyroid Cartilage |
| Generation and | segmentation | of Motion Trajectories |
| Generation of Random Fields for Image | segmentation | Techniques: A Review |
| Generative Adversarial Learning for Reducing Manual Annotation in Semantic | segmentation | on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case |
| Generative Adversarial Learning for Reducing Manual Annotation in Semantic | segmentation | on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case |
| Generative Adversarial Network for Future Hand | segmentation | from Egocentric Video |
| Generative Adversarial Network, GAN, Semantic | segmentation | |
| Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised | segmentation | : A Study on Kidney Histology |
| Generative Appearance Model for End-To-End Video Object | segmentation | , A |
| Generative Consistency for Semi-Supervised Cerebrovascular | segmentation | From TOF-MRA |
| Generative Image | segmentation | Using Random Walks with Restart |
| Generative Model Based Approach to Motion | segmentation | , A |
| Generative Model for Concurrent Image Retrieval and ROI | segmentation | , A |
| Generative Model for Image | segmentation | Based on Label Fusion, A |
| Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level | segmentation | , A |
| Generative Modelling of Semantic | segmentation | Data in the Fashion Domain |
| Generative Probabilistic Model and Discriminative Extensions for Brain Lesion | segmentation | : With Application to Tumor and Stroke, A |
| Generative Semantic | segmentation | |
| Generative Zero-Shot Learning for Semantic | segmentation | of 3D Point Clouds |
| Generic Approach to Pathological Lung | segmentation | , A |
| Generic Event Boundary Detection: A Benchmark for Event | segmentation | |
| Generic Events for the Gradient Squared with Application to Multi-Scale | segmentation | |
| Generic Framework for Combining Multiple | segmentation | s in Geographic Object-Based Image Analysis, A |
| generic fuzzy rule based image | segmentation | algorithm, A |
| Generic Image | segmentation | in Fully Convolutional Networks by Superpixel Merging Map |
| generic knowledge-guided image | segmentation | and labeling system using fuzzy clustering algorithms, A |
| Generic Method for Stamp | segmentation | Using Part-Based Features, A |
| Generic multi-scale | segmentation | and curve approximation method |
| Generic Object Detection using Model Based | segmentation | |
| Generic Object Recognition by Tree Conditional Random Field Based on Hierarchical | segmentation | |
| Generic temporal | segmentation | of cyclic human motion |
| Genetic algorithm approach to image | segmentation | using morphological operations |
| Genetic Algorithm Based Method to Improve Image | segmentation | , A |
| genetic algorithm for image | segmentation | , A |
| Genetic Algorithm for Video | segmentation | and Summarization, A |
| Genetic Algorithm with Automatic Parameter Adaptation for Video | segmentation | , A |
| genetic algorithm-based clustering and two-scan labelling for colour image | segmentation | , A |
| Genetic algorithm-based interactive | segmentation | of 3D medical images |
| Genetic Algorithm-Based | segmentation | of Markov Random Field Modeled Images, A |
| Genetic Algorithm-Based Video | segmentation | with Adaptive Population Size |
| Genetic algorithms for video | segmentation | |
| genetic approach for the automatic adaptation of | segmentation | parameters, A |
| genetic framework using contextual knowledge for | segmentation | and recognition of handwritten numeral strings, A |
| Genetic Fuzzy Rules Learning Approach for Unseeded | segmentation | in Echography, A |
| Genetic Learning for Adaptive Image | segmentation | |
| Genetic Model-Based | segmentation | of Chest X-Ray Images Using Free Form Deformations |
| Genetic Snake for Medical Ultrasound Image | segmentation | |
| Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel | segmentation | Using a Genetic Algorithm |
| Genus zero graph | segmentation | : Estimation of intracranial volume |
| Genus Zero Graph | segmentation | : Estimation of Intracranial Volume [Conf] |
| Geo-semantic | segmentation | |
| Geodesic Active Contours for Supervised Texture | segmentation | |
| Geodesic Active Contours with Adaptive Configuration for Cerebral Vessel and Aneurysm | segmentation | |
| Geodesic Active Regions and Level Set Methods for Supervised Texture | segmentation | |
| Geodesic active regions for | segmentation | and tracking of human gestures in sign language videos |
| Geodesic Active Regions for Supervised Texture | segmentation | |
| Geodesic Active Regions for Texture | segmentation | |
| Geodesic Distance Histogram Feature for Video | segmentation | |
| Geodesic Framework for Fast Interactive Image and Video | segmentation | and Matting, A |
| Geodesic graph cut for interactive image | segmentation | |
| Geodesic Information Flows: Spatially-Variant Graphs and Their Application to | segmentation | and Fusion |
| Geodesic interactive | segmentation | in the color monogenic signal framework |
| Geodesic Matting: A Framework for Fast Interactive Image and Video | segmentation | and Matting |
| Geodesic methods for biomedical image | segmentation | |
| Geodesic Paths for Image | segmentation | With Implicit Region-Based Homogeneity Enhancement |
| Geodesic pixel neighborhoods for multi-class image | segmentation | |
| Geodesic registration for interactive atlas-based | segmentation | using learned multi-scale anatomical manifolds |
| Geodesic Saliency of Watershed Contours and Hierarchical | segmentation | |
| Geodesic star convexity for interactive image | segmentation | |
| Geodesic Thin Plate Splines for Image | segmentation | |
| Geodesic Voting Shape Prior to Constrain the Level Set Evolution for the | segmentation | of Tubular Trees, A |
| Geographical Approach to Self-Organizing Maps Algorithm Applied to Image | segmentation | , A |
| Geometric active contours without re-initialization for image | segmentation | |
| Geometric Approach to Hole | segmentation | and Hole Closing in 3D Volumetric Objects |
| Geometric Approach To Joint 2d Region-Based | segmentation | and 3D Pose Estimation Using A 3d Shape Prior, A |
| Geometric Approach to Measure-Based Metric in Image | segmentation | |
| Geometric Approach to | segmentation | and Analysis of 3D Medical Images, A |
| Geometric Approach to | segmentation | and Protein Localization in Cell Cultured Assays |
| geometric approach to the | segmentation | of range images, A |
| Geometric attraction-driven flow for image | segmentation | and boundary detection |
| Geometric Constrained Joint Lane | segmentation | and Lane Boundary Detection |
| Geometric deformable model and | segmentation | |
| Geometric Dissimilarity Criterion Between Jordan Spatial Mosaics. Theoretical Aspects and Application to | segmentation | Evaluation, A |
| Geometric Driven Optical Flow Estimation and | segmentation | for 3D Reconstruction |
| Geometric Flow Approach for Region-Based Image | segmentation | |
| Geometric image primitives by complex moments in Gabor space and the application to texture | segmentation | |
| Geometric | segmentation | and Object Recognition in Unordered and Incomplete Point Cloud |
| Geometric | segmentation | of 3D structures |
| Geometric | segmentation | of perspective images based on symmetry groups |
| geometric snake model for | segmentation | of medical imagery, A |
| Geometric Structure of Degeneracy for Multi-body Motion | segmentation | |
| Geometric techniques for 3D tracking of ultrasound sensor, tumor | segmentation | in ultrasound images, and 3D reconstruction |
| Geometric Unsupervised Domain Adaptation for Semantic | segmentation | |
| Geometric-Functional-Based Image | segmentation | and Inpainting, A |
| Geometric-Variational Approach for Color Image Enhancement and | segmentation | |
| Geometrical and Topological Informations for Image | segmentation | with Monte Carlo Markov Chain Implementation |
| Geometrical image denoising using quadtree | segmentation | |
| Geometrical | segmentation | of Multi-Shape Point Clouds Based on Adaptive Shape Prediction and Hybrid Voting RANSAC |
| Geometrical-based algorithm for variational | segmentation | and smoothing of vector-valued images |
| Geometrically Guided Fuzzy C-means Clustering for Multivariate Image | segmentation | |
| Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic | segmentation | |
| Geometry Guided Incremental | segmentation | |
| Geometry in active learning for binary and multi-class image | segmentation | |
| Geometry motivated variational | segmentation | for color images |
| Geometry-Aware Distillation for Indoor Semantic | segmentation | |
| Geometry-Based Image | segmentation | Using Anisotropic Diffusion |
| Geometry-Guided Adaptation for Road | segmentation | |
| GeoS: Geodesic Image | segmentation | |
| GesRec3D: A Real-Time Coded Gesture-to-Speech System with Automatic | segmentation | and Recognition Thresholding Using Dissimilarity Measures |
| Gesture Recognition in Ego-centric Videos Using Dense Trajectories and Hand | segmentation | |
| Gesture | segmentation | based on monocular vision using skin color and motion cues |
| Gesture | segmentation | from a Video Sequence Using Greedy Similarity Measure |
| Gesture | segmentation | in complex motion sequences |
| Gesture, Speech, and Gaze Cues for Discourse | segmentation | |
| GFNet: Automatic | segmentation | of COVID-19 lung infection regions using CT images based on boundary features |
| GFRNet: Rethinking the global contexts extraction in medical images | segmentation | through matrix factorization and self-attention |
| GGM classifier with multi-scale line detectors for retinal vessel | segmentation | |
| Gibbs Models for Bayesian Simulation and | segmentation | of Piecewise-Uniform Textures |
| Gibbs Random Fields, Fuzzy Clustering, and the Unsupervised | segmentation | of Textured Images |
| GIN: Generative INvariant Shape Prior for Amodal Instance | segmentation | |
| GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR | segmentation | |
| GIST and RIST of Iterative Self-Training for Semi-Supervised | segmentation | , The |
| GitNet: Geometric Prior-Based Transformation for Birds-Eye-View | segmentation | |
| GL-Net: Semantic | segmentation | for point clouds of shield tunnel via global feature learning and local feature discriminative aggregation |
| Glacier Surface | segmentation | Using Airborne Laser Scanning Point Cloud and Intensity Data |
| Gland | segmentation | from histology images using informative morphological scale space |
| Gland | segmentation | guided by glandular structures: A level set framework with two levels |
| Glass object | segmentation | by label transfer on joint depth and appearance manifolds |
| Glass | segmentation | using Intensity and Spectral Polarization Cues |
| Glass | segmentation | With RGB-Thermal Image Pairs |
| Gleason Grading of Histology Prostate Images Through Semantic | segmentation | via Residual U-Net |
| Glioma brain tumor detection and | segmentation | using weighting random forest classifier with optimized ant colony features |
| GLISTR: Glioma Image | segmentation | and Registration |
| Global - Threshold Based | segmentation | Techniques |
| Global active contour-based image | segmentation | via probability alignment |
| Global and local anomaly detectors for tumor | segmentation | in dynamic PET acquisitions |
| Global and Local Feature Reconstruction for Medical Image | segmentation | |
| Global and Local Methods of Unsupervised Bayesian | segmentation | of Images |
| Global and local multi-modal feature mutual learning for retinal vessel | segmentation | |
| Global and Local Texture Randomization for Synthetic-to-Real Semantic | segmentation | |
| Global Consistency Priors for Joint Part-Based Object Tracking and Image | segmentation | |
| Global Context Reasoning for Semantic | segmentation | of 3D Point Clouds |
| Global Deconvolutional Networks for Semantic | segmentation | |
| Global feature-based multimodal semantic | segmentation | |
| Global Illumination Invariant Object Detection With Level Set Based Bimodal | segmentation | |
| Global interpolation in the | segmentation | of handwritten characters overlapping a border |
| Global Knowledge Calibration for Fast Open-Vocabulary | segmentation | |
| Global Manifold Learning for Interactive Image | segmentation | |
| Global Matching Criterion and Color | segmentation | Based Stereo |
| Global methods for stroke | segmentation | |
| Global motion | segmentation | for mid-level representation of moving images |
| Global Motion Understanding in Large-Scale Video Object | segmentation | |
| Global Multi-Attention UResNeXt for Semantic | segmentation | of High-Resolution Remote Sensing Images |
| global optimization approach to roof | segmentation | from airborne lidar point clouds, A |
| Global optimization of wavelet-domain hidden Markov tree for image | segmentation | |
| Global Polarimetric Synthetic Aperture Radar Image | segmentation | with Data Augmentation and Hybrid Architecture Model |
| Global Relabeling for Continuous Optimization in Binary Image | segmentation | |
| Global | segmentation | and Curvature Analysis of Volumetric Data Sets Using Trivariate B-Spline Functions |
| Global Similarity with Additive Smoothness for Spectral | segmentation | |
| Global Spectral Filter Memory Network for Video Object | segmentation | |
| Global structure constrained local shape prior estimation for medical image | segmentation | |
| Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel | segmentation | |
| global unimodal thresholding based on probabilistic reference maps for the | segmentation | of muscle images, A |
| Global variational method for fingerprint | segmentation | by three-part decomposition |
| Global weighted average pooling network with multilevel feature fusion for weakly supervised brain tumor | segmentation | |
| Global-Local Attention Network for Semantic | segmentation | in Aerial Images |
| global-to-local approach for robust range image | segmentation | , A |
| Global-to-local shape priors for variational image | segmentation | |
| Global/Local Affinity Graph for Image | segmentation | , A |
| Global2Local: Efficient Structure Search for Video Action | segmentation | |
| Globally adaptive region information for automatic color-texture image | segmentation | |
| Globally convergent iterative numerical schemes for nonlinear variational image smoothing and | segmentation | on a multiprocessor machine |
| Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel | segmentation | |
| Globally Optimal Closed-Surface | segmentation | for Connectomics |
| Globally Optimal Image | segmentation | with an Elastic Shape Prior |
| Globally Optimal Joint Image | segmentation | and Shape Matching Based on Wasserstein Modes |
| Globally optimal | segmentation | of interacting surfaces with geometric constraints |
| Globally optimal | segmentation | of multi-region objects |
| Globally optimal surface | segmentation | using regional properties of segmented objects |
| Globally | segmentation | Using Active Contours and Belief Function |
| GLRP: Global and local contrastive learning based on relative position for medical image | segmentation | on cardiac MRI |
| GMM Based Simultaneous Reconstruction and | segmentation | in X-ray Ct Application |
| GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic | segmentation | |
| Gmnet: Graph Matching Network for Large Scale Part Semantic | segmentation | in the Wild |
| GMRF models and wavelet decomposition for texture | segmentation | |
| GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp | segmentation | |
| GNAS-U2Net: A New Optic Cup and Optic Disc | segmentation | Architecture With Genetic Neural Architecture Search |
| GNSSseg, a Statistical Method for the | segmentation | of Daily GNSS IWV Time Series |
| Goal Directed | segmentation | |
| Goal Evaluation of | segmentation | Algorithms for Traffic Sign Recognition |
| goal-driven unsupervised image | segmentation | method combining graph-based processing and Markov random fields, A |
| Goal-Oriented Performance Evaluation Methodology for Page | segmentation | Techniques |
| Going Back to Basics on Volumetric | segmentation | of the Lungs in CT: A Fully Image Processing Based Technique |
| Going Deeper Into Embedding Learning for Video Object | segmentation | |
| Going Denser with Open-Vocabulary Part | segmentation | |
| Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic | segmentation | , A |
| GP-S3Net: Graph-based Panoptic Sparse Semantic | segmentation | Network |
| GPNet: Gated pyramid network for semantic | segmentation | |
| GPS-GLASS: Learning Nighttime Semantic | segmentation | Using Daytime Video and GPS data |
| GPU Accelerated Left/Right Hand- | segmentation | in First Person Vision |
| GPU Based Diffusion Method for Whole-Heart and Great Vessel | segmentation | , A |
| GPU framework for parallel | segmentation | of volumetric images using discrete deformable models, A |
| GPU-accelerated level-set | segmentation | |
| GPU-accelerated, gradient-free MI deformable registration for atlas-based MR brain image | segmentation | |
| GPU-Based Active Contour | segmentation | Using Gradient Vector Flow |
| GPU-based | segmentation | of retinal blood vessels |
| GR-Net: Gated axial attention ResNest network for polyp | segmentation | |
| GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud | segmentation | |
| Grabber: A tool to improve convergence in interactive image | segmentation | |
| GrabCut algorithm for dental X-ray images based on full threshold | segmentation | |
| Gradient Based Polyhedral | segmentation | for 3-d Range Image |
| Gradient Magnitude Based Region Growing Algorithm for Accurate | segmentation | , A |
| Gradient Vector Flow-Based Method for Video Character | segmentation | , A |
| Gradient-Based Method For General Motion Estimation And | segmentation | , A |
| Gradient-based polyhedral | segmentation | for range images |
| Gradient-Semantic Compensation for Incremental Semantic | segmentation | |
| Gradual transition detection using color coherence and other criteria in a video shot meta- | segmentation | framework |
| Grain | segmentation | in Atomic Force Microscopy for Thin-Film Deposition Quality Control |
| Grain | segmentation | of 3D Superalloy Images Using Multichannel EWCVT under Human Annotation Constraints |
| Grain | segmentation | of multi-angle petrographic thin section microscopic images |
| Grain | segmentation | of sandstone images based on convolutional neural networks and weighted fuzzy clustering |
| Grain-oriented | segmentation | of scanning electron microscope images |
| GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene | segmentation | |
| GraNet: Global relation-aware attentional network for semantic | segmentation | of ALS point clouds |
| Granulometric | segmentation | Using a Gradient Convergence Map |
| Granulometry-Based Trabecular Bone | segmentation | |
| Grapes Visual | segmentation | for Harvesting Robots Using Local Texture Descriptors |
| Graph Affinity Network for Few-Shot | segmentation | |
| Graph Attention Convolution for Point Cloud Semantic | segmentation | |
| Graph Attention Layer Evolves Semantic | segmentation | for Road Pothole Detection: A Benchmark and Algorithms |
| Graph Attention U-Net for Retinal Layer Surface Detection and Choroid Neovascularization | segmentation | in OCT Images |
| Graph Based Approach for Heterogeneous Document | segmentation | , A |
| graph based approach to hierarchical image over- | segmentation | , A |
| Graph based line | segmentation | on cluttered handwritten manuscripts |
| Graph based over- | segmentation | methods for 3D point clouds |
| Graph Based | segmentation | Strategy for Baggage Scanner Images, A |
| Graph based | segmentation | with minimal user interaction |
| Graph clustering and variational image | segmentation | for automated firearm detection in X-ray images |
| Graph Clustering, Variational Image | segmentation | Methods and Hough Transform Scale Detection for Object Measurement in Images |
| Graph Clustering-Based Ensemble Method for Handwritten Text Line | segmentation | |
| Graph CNN with Radius Distance for Semantic | segmentation | of Historical Buildings TLS Point Clouds |
| Graph Constrained Data Representation Learning for Human Motion | segmentation | |
| Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel | segmentation | |
| Graph Cut Approach to Image | segmentation | in Tensor Space, A |
| graph cut based active contour for multiphase image | segmentation | , A |
| Graph cut based image | segmentation | with connectivity priors |
| Graph Cut Based Multiple View | segmentation | for 3D Reconstruction |
| Graph Cut Based Point-Cloud | segmentation | for Polygonal Reconstruction |
| Graph Cut Based | segmentation | of Convoluted Objects |
| Graph Cut Based | segmentation | of Soft Shadows for Seamless Removal and Augmentation |
| Graph cut energy minimization in a probabilistic learning framework for 3D prostate | segmentation | in MRI |
| Graph Cut Motion | segmentation | , Background-Foreground Extraction |
| Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image | segmentation | |
| Graph cut | segmentation | of neuronal structures from transmission electron micrographs |
| Graph cut | segmentation | of sparsely sampled images with application to InSAR-measured changes in elevation |
| Graph cut | segmentation | technique for MRI brain tumor extraction |
| Graph Cut | segmentation | Using a Constrained Statistical Model with Non-linear and Sparse Shape Optimization |
| Graph cut | segmentation | with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure |
| Graph cut | segmentation | with a statistical shape model in cardiac MRI |
| Graph Cut | segmentation | with Nonlinear Shape Priors |
| Graph Cuts and Efficient N-D Image | segmentation | |
| Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image | segmentation | |
| Graph cuts optimization for multi-limb human | segmentation | in depth maps |
| Graph Cuts | segmentation | by Using Local Texture Features of Multiresolution Analysis |
| Graph Cuts | segmentation | Using an Elliptical Shape Prior |
| Graph Cuts | segmentation | with Geometric Shape Priors for Medical Images |
| Graph Cuts-Based Automatic Color Image | segmentation | |
| Graph Flow: Cross-Layer Graph Flow Distillation for Dual Efficient Medical Image | segmentation | |
| Graph Laplacian Regularization based on the Differences of Neighboring Pixels for Conditional Convolutions for Instance | segmentation | |
| Graph MBO method for multiclass | segmentation | of hyperspectral stand-off detection video |
| Graph Moving Object | segmentation | |
| Graph Partitioning Active Contours (GPAC) for Image | segmentation | |
| Graph Partitioning Active Contours for Knowledge-Based Geo-Spatial | segmentation | |
| Graph Partitioning by Spectral Rounding: Applications in Image | segmentation | and Clustering |
| Graph Run-Length Matrices for Histopathological Image | segmentation | |
| Graph theory based | segmentation | of traced boundary into open and closed sub-sections |
| Graph Transduction Learning of Object Proposals for Video Object | segmentation | |
| Graph-BAS3Net: Boundary-Aware Semi-Supervised | segmentation | Network with Bilateral Graph Convolution |
| Graph-based Analysis of Textured Images for Hierarchical | segmentation | |
| Graph-Based and Variational Minimization of Statistical Cost Functionals for 3D | segmentation | of Aortic Dissections |
| Graph-Based Approach for Data Fusion and | segmentation | of Multimodal Images, A |
| graph-based approach for feature extraction and | segmentation | of multimodal images, A |
| Graph-Based Approach for Image | segmentation | , A |
| Graph-based detection, | segmentation | and characterization of brain tumors |
| graph-based edge attention gate medical image | segmentation | method, A |
| Graph-Based Fast Image | segmentation | |
| Graph-Based Hierarchical Image | segmentation | Method Based on a Statistical Merging Predicate, A |
| Graph-based hierarchical video | segmentation | based on a simple dissimilarity measure |
| Graph-based image | segmentation | using weighted color patch |
| Graph-Based IVUS | segmentation | With Efficient Computer-Aided Refinement |
| Graph-Based Method for PET Image | segmentation | in Radiotherapy Planning: A Pilot Study, A |
| Graph-Based Multi-Surface | segmentation | of OCT Data Using Trained Hard and Soft Constraints |
| Graph-Based Multilevel Temporal | segmentation | of Scripted Content Videos |
| Graph-based optimal cross section boundary for vessel | segmentation | and stenosis quantification |
| Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel | segmentation | |
| Graph-Based Perceptual | segmentation | of Stereo Vision 3D Images at Multiple Abstraction Levels |
| Graph-Based Region and Boundary Aggregation for Biomedical Image | segmentation | |
| Graph-Based Regularization of Binary Classifiers for Texture | segmentation | |
| graph-based | segmentation | algorithm for tree crown extraction using airborne LiDAR data, A |
| Graph-Based | segmentation | and Feature-extraction Framework for Arabic Text Recognition, A |
| Graph-Based | segmentation | for RGB-D Data Using 3-D Geometry Enhanced Superpixels |
| Graph-Based | segmentation | of Lymph Nodes in CT Data |
| Graph-Based | segmentation | with Local Band Constraints |
| Graph-based skin lesion | segmentation | of multispectral dermoscopic images |
| Graph-Based Surgical Instrument Adaptive | segmentation | via Domain-Common Knowledge |
| graph-based technique for semi-supervised | segmentation | of 3D surfaces, A |
| Graph-Based Text | segmentation | Using a Selected Channel Image |
| Graph-based tools for microscopic cellular image | segmentation | |
| Graph-Constrained Contrastive Regularization for Semi-weakly Volumetric | segmentation | |
| graph-cut approach to image | segmentation | using an affinity graph based on L0-sparse representation of features, A |
| Graph-cut based interactive | segmentation | of 3D materials-science images |
| Graph-cut optimization of the ratio of functions and its application to image | segmentation | |
| Graph-cut-based stereo matching using image | segmentation | with symmetrical treatment of occlusions |
| Graph-Driven Diffusion and Random Walk Schemes for Image | segmentation | |
| Graph-Guided Architecture Search for Real-Time Semantic | segmentation | |
| graph-spectral approach to surface | segmentation | , A |
| Graph-Theoretic Approach to Image | segmentation | , A |
| graph-theoretic approach to miultiscale texture | segmentation | , A |
| Graph-Theoretic Post-Processing of | segmentation | With Application to Dense Biofilms |
| GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video | segmentation | |
| Grapheme-Based | segmentation | Technique for Cursive Script Recognition, A |
| Graphical gaussian shape models and their application to image | segmentation | |
| Graphical Models for Joint | segmentation | and Recognition of License Plate Characters |
| Grass Field | segmentation | , the First Step Toward Player Tracking, Deep Compression, and Content Based Football Image Retrieval |
| Grating Cell Operator Features for Oriented Texture | segmentation | |
| Gravitational weighted fuzzy c-means with application on multispectral image | segmentation | |
| Gray Matter | segmentation | of Brain MRI Using Hybrid Enhanced Independent Component Analysis |
| Gray skeletons and | segmentation | of shapes |
| GrayCut: Object | segmentation | in IR-Images |
| Grayscale image connected components | segmentation | |
| GrCS: Granular Computing-Based Crowd | segmentation | |
| GRES: Generalized Referring Expression | segmentation | |
| Grey level reduction for | segmentation | , threshholding and binarisation of images based on optimal partitioning on an interval |
| Grey-level morphology based | segmentation | of MRI of the human cortex |
| Grey-level morphology combined with an artificial neural networks aproach for multimodal | segmentation | of the hippocampus |
| Grid Sample Based Temporal Iteration and Compactness-coefficient Distance for High Frame and Ultra-low Delay SLIC | segmentation | System |
| GridShift: A Faster Mode-seeking Algorithm for Image | segmentation | and Object Tracking |
| GRNet: Deep Convolutional Neural Networks based on Graph Reasoning for Semantic | segmentation | |
| Ground glass opacity detection and | segmentation | using CT images: An image statistics framework |
| Ground Plane | segmentation | of Time-of-Flight Images for Asparagus Harvesting |
| Ground Plane | segmentation | Using Artificial Neural Network for Pedestrian Detection |
| Ground | segmentation | and free space estimation in off-road terrain |
| Ground Truth Energies for Hierarchies of | segmentation | s |
| Ground Truth for Iris | segmentation | , A |
| ground truth for motion-based video-object | segmentation | , A |
| Ground truth free retinal vessel | segmentation | by learning from simple pixels |
| Ground-Truth Fusion Method for Image | segmentation | Evaluation, A |
| Ground-Truthing and Benchmarking Document Page | segmentation | |
| Group motion | segmentation | using a Spatio-Temporal Driving Force Model |
| Group saliency propagation for large scale and quick image co- | segmentation | |
| Group | segmentation | During Object Tracking Using Optical Flow Discontinuities |
| Group-Valued Regularization Framework for Motion | segmentation | of Dynamic Non-rigid Shapes |
| Group-Wise Deep Object Co- | segmentation | With Co-Attention Recurrent Neural Network |
| Group-Wise Learning for Weakly Supervised Semantic | segmentation | |
| Grouping Boundary Proposals for Fast Interactive Image | segmentation | |
| Grouping Symmetrical Structures for Object | segmentation | and Description |
| GroupViT: Semantic | segmentation | Emerges from Text Supervision |
| Groupwise | segmentation | Improves Neuroimaging Classification Accuracy |
| Growcut-based drusen | segmentation | for age-related macular degeneration detection |
| GrowSP: Unsupervised Semantic | segmentation | of 3D Point Clouds |
| GRUNTS: Graph Representation for UNsupervised Temporal | segmentation | |
| GS Model for the Image | segmentation | Number via Weighted the Position Information and the Gray Values |
| GSAL: Geometric structure adversarial learning for robust medical image | segmentation | |
| GSANet: Semantic | segmentation | With Global And Selective Attention |
| GSIP: Green Semantic | segmentation | of Large-Scale Indoor Point Clouds |
| GSPN: Generative Shape Proposal Network for 3D Instance | segmentation | in Point Cloud |
| GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Semantic | segmentation | |
| Guest Editorial Introduction to the Special Issue on Advanced Machine Learning Methodologies for Large-Scale Video Object | segmentation | and Detection |
| Guest Editorial: Tracking, Detection and | segmentation | |
| Guided Co- | segmentation | Network for Fast Video Object Segmentation |
| Guided Co- | segmentation | Network for Fast Video Object Segmentation |
| Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image | segmentation | |
| Guided Distillation for Semi-Supervised Instance | segmentation | |
| Guided Filter Network for Semantic Image | segmentation | |
| Guided Interactive Video Object | segmentation | Using Reliability-Based Attention Maps |
| Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic | segmentation | |
| Guided Proofreading of Automatic | segmentation | s for Connectomics |
| Guided Structure-Aligned | segmentation | of Volumetric Data |
| Guiding Model Search Using | segmentation | |
| Gully Erosion Monitoring Based on Semi-Supervised Semantic | segmentation | with Boundary-Guided Pseudo-Label Generation Strategy and Adaptive Loss Function |
| H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor | segmentation | From CT Volumes |
| H-EMD: A Hierarchical Earth Mover's Distance Method for Instance | segmentation | |
| H-means image | segmentation | to identify solar thermal features |
| H-OCS: A Hybrid Optic Cup | segmentation | of Retinal Images |
| H-ProMed: Ultrasound image | segmentation | based on the evolutionary neural network and an improved principal curve |
| H-SegMed: A Hybrid Method for Prostate | segmentation | in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning |
| H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image | segmentation | |
| H2O-Net: Self-Supervised Flood | segmentation | via Adversarial Domain Adaptation and Label Refinement |
| HA-MPPNet: Height Aware-Multi Path Parallel Network for High Spatial Resolution Remote Sensing Image Semantic | segmentation | |
| HA-Net: Hierarchical Attention Network Based on Multi-Task Learning for Ciliary Muscle | segmentation | in AS-OCT |
| Haar wavelet downsampling: A simple but effective downsampling module for semantic | segmentation | |
| HAFFseg: RGB-Thermal semantic | segmentation | network with hybrid adaptive feature fusion strategy |
| HAIC-NET: Semi-supervised OCTA vessel | segmentation | with self-supervised pretext task and dual consistency training |
| Hair detection, | segmentation | , and hairstyle classification in the wild |
| HAIRIS: A Method for Automatic Image Registration Through Histogram-Based Image | segmentation | |
| HALSIE: Hybrid Approach to Learning | segmentation | by Simultaneously Exploiting Image and Event Modalities |
| HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised | segmentation | of Histopathological Images |
| Hand and object | segmentation | from RGB-D images for interaction with planar surfaces |
| Hand Gesture | segmentation | in Uncontrolled Environments with Partition Matrix and a Spotting Scheme Based on Hidden Conditional Random Fields |
| Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action | segmentation | within Complex Human Assemblies |
| Hand Image | segmentation | Using Sequential-Image-Based Hierarchical Adaptation |
| Hand radiograph image | segmentation | using a coarse-to-fine strategy |
| Hand | segmentation | Using Learning-Based Prediction and Verification for Hand-Sign Recognition |
| Hand | segmentation | with Structured Convolutional Learning |
| Hand-based verification and identification using palm-finger | segmentation | and fusion |
| Handling Movement Epenthesis and Hand | segmentation | Ambiguities in Continuous Sign Language Recognition Using Nested Dynamic Programming |
| Handling new target classes in semantic | segmentation | with domain adaptation |
| Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic | segmentation | |
| HandSeg: An Automatically Labeled Dataset for Hand | segmentation | from Depth Images |
| HandSegNet: Hand | segmentation | using convolutional neural network for contactless palmprint recognition |
| Handwriting | segmentation | Contest |
| Handwritten and Printed Text | segmentation | : A Signature Case Study |
| Handwritten Character | segmentation | Using Transformation-based Learning |
| Handwritten Chinese character | segmentation | using a two-stage approach |
| Handwritten Chinese Character | segmentation | Using Local Potential Threshold and Minimum Potential Search |
| Handwritten Chinese text line | segmentation | by clustering with distance metric learning |
| Handwritten digit | segmentation | : a comparative study |
| Handwritten digit | segmentation | : Is it still necessary? |
| Handwritten Digit String Recognition using Deep Autoencoder based | segmentation | and ResNet based Recognition Approach |
| Handwritten document image | segmentation | into text lines and words |
| Handwritten document | segmentation | using hidden Markov random fields |
| Handwritten Text Line | segmentation | by Shredding Text into its Lines |
| Handwritten text | segmentation | using average longest path algorithm |
| Handwritten Text | segmentation | Using Elastic Shape Analysis |
| Handwritten Word Recognition Using | segmentation | -Free Hidden Markov Modeling and Segmentation-Based Dynamic-Programming Techniques |
| Handwritten Word Recognition Using | segmentation | -Free Hidden Markov Modeling and Segmentation-Based Dynamic-Programming Techniques |
| HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud | segmentation | |
| HAR Enhanced Weakly-Supervised Semantic | segmentation | Coupled with Adversarial Learning |
| Hard exudate | segmentation | in retinal image with attention mechanism |
| Hard Pixel Mining for Depth Privileged Semantic | segmentation | |
| HARDI | segmentation | via Fourth-Order Tensors and Anisotropy Preserving Similarity Measures |
| Hardware architecture for hierarchical | segmentation | in foveal images |
| Hardware Architecture for Real-Time Video | segmentation | Utilizing Memory Reduction Techniques, A |
| Harmonic active contours for multichannel image | segmentation | |
| Harmonic Feature Activation for Few-Shot Semantic | segmentation | |
| Harmonic Variance: A Novel Measure for In-focus | segmentation | |
| Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot | segmentation | |
| Harmony potentials for joint classification and | segmentation | |
| Harmony Potentials: Fusing Global and Local Scale for Semantic Image | segmentation | |
| Harris function based active contour external force for image | segmentation | |
| Harvesting Information from Captions for Weakly Supervised Semantic | segmentation | |
| Hausdorff Distance Constraint for Multi-surface | segmentation | |
| Haustral Fold | segmentation | of CT Colonography Using Ridge Line Detection |
| HAVANA: Hard Negative Sample-Aware Self-Supervised Contrastive Learning for Airborne Laser Scanning Point Cloud Semantic | segmentation | |
| HCFS3D: Hierarchical coupled feature selection network for 3D semantic and instance | segmentation | |
| HCIU: Hybrid clustered inception-based UNET for the automatic | segmentation | of organs at risk in thoracic computed tomography images |
| HD Maps: Fine-Grained Road | segmentation | by Parsing Ground and Aerial Images |
| HD number plate localization and character | segmentation | on the Zynq heterogeneous SoC |
| HDP-MRF: A hierarchical Nonparametric model for image | segmentation | |
| Heart Cavity | segmentation | in Ultrasound Images Based on Supervised Neural Networks |
| Heart Modeling by Convexity Preserving | segmentation | and Convex Shape Decomposition |
| Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh | segmentation | |
| Heat diffusion embedded level set evolution for infrared image | segmentation | |
| Heat-mapping: A robust approach toward perceptually consistent mesh | segmentation | |
| Hedgehog Shape Priors for Multi-Object | segmentation | |
| Helical CT of Von Hippel-Lindau: Semi-automated | segmentation | of Renal Lesions |
| HEp-2 cell classification and | segmentation | using motif texture patterns and spatial features with random forests |
| HEp-2 Specimen Image | segmentation | and Classification Using Very Deep Fully Convolutional Network |
| Hepatic Lesion | segmentation | by Combining Plain and Contrast-Enhanced CT Images with Modality Weighted U-Net |
| Her2Net: A Deep Framework for Semantic | segmentation | and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation |
| HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate | segmentation | |
| Heterogeneous Conditional Random Field: Realizing joint detection and | segmentation | of cell regions in microscopic images |
| Heuristic Linking Models In Multiscale Image | segmentation | |
| Hexagonal pixels for improved low level | segmentation | |
| HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate | segmentation | in CT Images |
| HFS: Hierarchical Feature Selection for Efficient Image | segmentation | |
| HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic | segmentation | |
| HGR-Net: a fusion network for hand gesture | segmentation | and recognition |
| Hi4D: 4D Instance | segmentation | of Close Human Interaction |
| HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance | segmentation | with a Wearable Solid-State LiDAR Sensor |
| Hidden Evidential Markov Trees and Image | segmentation | |
| Hidden markov bayesian texture | segmentation | using complex wavelet transform |
| Hidden Markov fields and unsupervised | segmentation | of images |
| Hidden Markov measure field models for image | segmentation | |
| hidden Markov model based | segmentation | and recognition algorithm for Chinese handwritten address character strings, A |
| Hidden Markov models-based 3D MRI brain | segmentation | |
| Hidden multiresolution random fields and their application to image | segmentation | |
| Hidden-Markov-Model-Based | segmentation | Confidence Applied to Container Code Character Extraction |
| Hierarchic Multi-atlas Based | segmentation | for Anatomical Structures: Evaluation in the VISCERAL Anatomy Benchmarks |
| Hierarchical Aggregation for 3D Instance | segmentation | |
| Hierarchical Algorithm for the | segmentation | of 3-D Images, A |
| Hierarchical Approach for Scene | segmentation | Based on 2D Motion, A |
| Hierarchical Approach to Color Image | segmentation | Using Homogeneity, A |
| Hierarchical Approach to Scene | segmentation | , A |
| Hierarchical Approach to Three-Dimensional | segmentation | of LiDAR Data at Single-Tree Level in a Multilayered Forest, A |
| Hierarchical Attention Network for Action | segmentation | |
| Hierarchical brain tumour | segmentation | using extremely randomized trees |
| Hierarchical Cell Structures for | segmentation | of Voxel Images |
| Hierarchical Classification-Based Region Growing (HCBRG): A Collaborative Approach for Object | segmentation | and Classification |
| Hierarchical Co-Attention Propagation Network for Zero-Shot Video Object | segmentation | |
| Hierarchical co- | segmentation | of 3D point clouds for indoor scene |
| Hierarchical Co- | segmentation | of Building Facades |
| Hierarchical Color Image Region | segmentation | for Content-Based Image Retrieval System |
| Hierarchical Conditional Random Fields Model for Semisupervised SAR Image | segmentation | |
| Hierarchical Consistency and Refinement for Semi-Supervised Medical | segmentation | |
| Hierarchical context-agnostic network with contrastive feature diversity for one-shot semantic | segmentation | |
| hierarchical context-based textured image | segmentation | algorithm for aerial images, A |
| Hierarchical Contour-Based | segmentation | of Dynamic Scenes |
| Hierarchical Convolutional Neural Networks for | segmentation | of Breast Tumors in MRI With Application to Radiogenomics |
| Hierarchical Dense Correlation Distillation for Few-Shot | segmentation | |
| Hierarchical Embedding Guided Network for Video Object | segmentation | |
| Hierarchical Equalization Loss for Long-Tailed Instance | segmentation | |
| Hierarchical Estimation and | segmentation | of Dense Motion Fields |
| Hierarchical Fast Mean-Shift | segmentation | in Depth Images |
| Hierarchical Feature Alignment Network for Unsupervised Video Object | segmentation | |
| Hierarchical Framework for Automatic Pancreas | segmentation | in MRI Using Continuous Max-Flow and Min-Cuts Approach |
| Hierarchical Framework for Leaf Instance | segmentation | : Application to Plant Phenotyping, A |
| Hierarchical fusion convolutional neural networks for SAR image | segmentation | |
| Hierarchical fuzzy | segmentation | of brain MR images |
| Hierarchical Graph Pattern Understanding for Zero-Shot Video Object | segmentation | |
| hierarchical graph-based markovian clustering approach for the unsupervised | segmentation | of textured color images, A |
| Hierarchical graph-based | segmentation | for extracting road networks from high-resolution satellite images |
| Hierarchical Image Matting Model for Blood Vessel | segmentation | in Fundus Images, A |
| Hierarchical Image | segmentation | Algorithm Based on an Observation Scale, A |
| Hierarchical Image | segmentation | Based on Contour Dynamics |
| Hierarchical Image | segmentation | Based on Iterative Contraction and Merging |
| Hierarchical Image | segmentation | Based on Nonsymmetry and Anti-Packing Pattern Representation Model |
| Hierarchical Image | segmentation | Based on Semidefinite Programming |
| Hierarchical Image | segmentation | by Multidimensional Clustering and Orientation-Adaptive Boundary Refinement |
| Hierarchical image | segmentation | by polygon grouping |
| Hierarchical Image | segmentation | Ensemble for Objectness in RGB-D Images |
| Hierarchical Image | segmentation | Relying on a Likelihood Ratio Test |
| Hierarchical image | segmentation | using a correspondence with a tree model |
| Hierarchical Image | segmentation | Using Adaptive Pattern Sizes |
| Hierarchical Image | segmentation | Using Similarity Analysis |
| Hierarchical Image | segmentation | : Part-I: Detection of Regular Curves in a Vector Graph |
| Hierarchical image simplification and | segmentation | based on Mumford-Shah-salient level line selection |
| Hierarchical Improvement of Foreground | segmentation | Masks in Background Subtraction |
| Hierarchical Interactive Image | segmentation | Using Irregular Pyramids |
| Hierarchical Iterative Eigen Decomposition for Motion | segmentation | |
| Hierarchical Likelihood Approach for Region | segmentation | According to Motion-Based Criteria, A |
| Hierarchical Line Extremity | segmentation | U-net for the Soccernet 2022 Calibration Challenge - Pitch Localization |
| hierarchical local region-based sparse shape composition for liver | segmentation | in CT scans, A |
| Hierarchical Lovasz Embeddings for Proposal-free Panoptic | segmentation | |
| Hierarchical Lung Field | segmentation | With Joint Shape and Appearance Sparse Learning |
| Hierarchical Markov Modeling Approach for the | segmentation | and Tracking of Deformable Shapes, A |
| Hierarchical Markovian Models for Hyperspectral Image | segmentation | |
| Hierarchical Markovian | segmentation | of multispectral images for the reconstruction of water depth maps |
| Hierarchical Memory Matching Network for Video Object | segmentation | |
| Hierarchical Mesh | segmentation | Editing Through Rotation Operations |
| hierarchical method for automated identification and | segmentation | of forms, A |
| Hierarchical Method of Digital Image | segmentation | Using Multidimensional Mathematical Morphology |
| Hierarchical Modeling for Task Recognition and Action | segmentation | in Weakly-Labeled Instructional Videos |
| Hierarchical morphological | segmentation | for image sequence coding |
| Hierarchical MRF Modeling for Sonar Picture | segmentation | |
| Hierarchical MRF of globally consistent localized classifiers for 3D medical image | segmentation | |
| Hierarchical Mrf-Based | segmentation | of Remote-Sensing Images |
| Hierarchical Multi-classifier Framework for Landform | segmentation | Using Multi-spectral Satellite Images: A Case Study over the Indian Subcontinent, A |
| Hierarchical Multi-Organ | segmentation | Without Registration in 3D Abdominal CT Images |
| Hierarchical Multiple Markov Chain Model for Unsupervised Texture | segmentation | |
| Hierarchical Mutual Nearest Neighbour Image | segmentation | |
| Hierarchical non-parametric Markov random field for image | segmentation | |
| Hierarchical Object-Focused and Grid-Based Deep Unsupervised | segmentation | Method for High-Resolution Remote Sensing Images |
| Hierarchical Pairwise | segmentation | Using Dominant Sets and Anisotropic Diffusion Kernels |
| Hierarchical Part-Template Matching for Human Detection and | segmentation | |
| Hierarchical part-type | segmentation | using voxel-based curve skeletons |
| Hierarchical Planar Correlation Clustering for Cell | segmentation | |
| Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic | segmentation | |
| Hierarchical Point-Edge Interaction Network for Point Cloud Semantic | segmentation | |
| Hierarchical Pre- | segmentation | without Prior Knowledge |
| Hierarchical Probabilistic Image | segmentation | |
| Hierarchical probabilistic models for video object | segmentation | and tracking |
| Hierarchical Random Walker | segmentation | for Large Volumetric Biomedical Images |
| Hierarchical Region Mean-Based Image | segmentation | |
| Hierarchical region-based representation for | segmentation | and filtering with depth in single images |
| Hierarchical Regions for Image | segmentation | |
| Hierarchical representation learning using spherical k-means for | segmentation | -free word spotting |
| Hierarchical | segmentation | Algorithm for Face Analysis Application for Lipreading, A |
| Hierarchical | segmentation | Algorithm, A |
| Hierarchical | segmentation | and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model |
| Hierarchical | segmentation | and tracking of coronary arteries in 2D X-ray Angiography sequences |
| Hierarchical | segmentation | Approach with Convolution-Recursive Deep Learning for 3D Multi-Object Recognition under Partial Occlusion Conditions, A |
| Hierarchical | segmentation | Based Upon Multi-resolution Approximations and the Watershed Transform |
| Hierarchical | segmentation | Framework for Identifying Natural Vegetation: A Case Study of the Tehachapi Mountains, California |
| Hierarchical | segmentation | from a non-increasing edge observation attribute |
| Hierarchical | segmentation | methods for region-based video coding |
| Hierarchical | segmentation | of cervical and lumbar vertebrae using a customized generalized Hough transform and extensions to active appearance models |
| Hierarchical | segmentation | of Complex Structures |
| Hierarchical | segmentation | of Human Manipulation Movements |
| Hierarchical | segmentation | of Multitemporal RADARSAT-2 SAR Data Using Stationary Wavelet Transform and Algebraic Multigrid Method |
| Hierarchical | segmentation | of Polarimetric SAR Images Using Heterogeneous Clutter Models |
| Hierarchical | segmentation | of range images with contour constraints |
| Hierarchical | segmentation | of Video Sequences for Content Manipulation and Adaptive Coding |
| Hierarchical | segmentation | Satisfying Constraints |
| hierarchical | segmentation | tree for superpixel-based image segmentation, A |
| hierarchical | segmentation | tree for superpixel-based image segmentation, A |
| Hierarchical | segmentation | using dynamics of multi-scale color gradient watersheds |
| Hierarchical | segmentation | Using Dynamics of Multiscale Gradient Watersheds |
| Hierarchical | segmentation | Using Tree-Based Shape Spaces |
| Hierarchical | segmentation | via a diffusion scheme in color/texture feature space |
| Hierarchical | segmentation | -Based Approach to Motion Analysis |
| Hierarchical | segmentation | -Based Image Coding Using Hybrid Quad-Binary Trees |
| Hierarchical | segmentation | s with Graphs: Quasi-flat Zones, Minimum Spanning Trees, and Saliency Maps |
| Hierarchical Self-Supervised Learning for 3D Tooth | segmentation | in Intra-Oral Mesh Scans |
| Hierarchical Semantic Broadcasting Network for Real-Time Semantic | segmentation | |
| Hierarchical Shape | segmentation | and Registration via Topological Features of Laplace-Beltrami Eigenfunctions |
| Hierarchical Spatial Pyramid Network For Cervical Precancerous | segmentation | By Reconstructing Deep Segmentation Networks |
| Hierarchical Spatial Pyramid Network For Cervical Precancerous | segmentation | By Reconstructing Deep Segmentation Networks |
| Hierarchical Spatiotemporal Transformers for Video Object | segmentation | |
| Hierarchical Statistical Framework for the | segmentation | of Deformable Objects in Image Sequences, A |
| Hierarchical Stochastic Image Grammars for Classification and | segmentation | |
| Hierarchical Superpixel | segmentation | by Parallel CRTrees Labeling |
| Hierarchical Superpixel | segmentation | for PolSAR Images Based on the Boruvka Algorithm |
| Hierarchical Supervoxel Graph for Interactive Video Object Representation and | segmentation | |
| Hierarchical Texture Model for Unsupervised | segmentation | of Remotely Sensed Images, A |
| Hierarchical Texture-Based | segmentation | of Multiresolution Remote-Sensing Images |
| Hierarchical Topological Knowledge Based Image | segmentation | Approach Optimizing the use of Contextual Regions of Interest: Illustration for Medical Image Analysis, A |
| Hierarchical Vertex Regression-Based | segmentation | of Head and Neck CT Images for Radiotherapy Planning |
| Hierarchical Watershed | segmentation | of Canopy Height Model for Multi-Scale Forest Inventory |
| Hierarchical, learning-based automatic liver | segmentation | |
| Hierarchically Gated Deep Networks for Semantic | segmentation | |
| Hierarchically Supervised Deconvolutional Network for Semantic Video | segmentation | |
| Hierarchies of partitions and morphological | segmentation | |
| Hierarchy in Picture | segmentation | : A Stepwise Optimization Approach |
| hierarchy of the cocoons of a graph and its application to image | segmentation | , The |
| HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image | segmentation | |
| HIFUNet: Multi-Class | segmentation | of Uterine Regions From MR Images Using Global Convolutional Networks for HIFU Surgery Planning |
| High Angular Resolution Diffusion MRI | segmentation | Using Region-Based Statistical Surface Evolution |
| High Dimensional Framework for Joint Color-Spatial | segmentation | , A |
| High Entropy Ensembles for Holistic Figure-ground | segmentation | |
| High Level Video Temporal | segmentation | |
| High performance moves recognition and sequence | segmentation | based on key poses filtering |
| High Quality Entity | segmentation | |
| High Quality | segmentation | for Ultra High-Resolution Images |
| High Quality-Speed Dilemma: A Comparison Between | segmentation | Methods for Traffic Monitoring Applications |
| High resolution matting via interactive trimap | segmentation | |
| High resolution remote sensing image | segmentation | based on graph theory and fractal net evolution approach |
| High Resolution | segmentation | of Neuronal Tissues from Low Depth-Resolution EM Imagery |
| High resolution volume quantification of the knee joint space based on a semi-automatic | segmentation | of computed tomography images |
| High Spatial Resolution Satellite Imagery, DEM Derivatives, and Image | segmentation | for the Detection of Mass Wasting Processes |
| High Throughput Hardware Architecture of a MIMO-based Sea Land | segmentation | for On-Orbit Remote Sensing Image Processing |
| High-Accuracy Automatic Person | segmentation | with Novel Spatial Saliency Map |
| High-Accuracy RGB-D Face Recognition via | segmentation | -Aware Face Depth Estimation and Mask-Guided Attention Network |
| High-fidelity Pseudo-labels for Boosting Weakly-Supervised | segmentation | |
| High-level feature based range image | segmentation | |
| High-level prior-based loss functions for medical image | segmentation | : A survey |
| High-Order Energies for Stereo | segmentation | |
| High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain | segmentation | With MRI |
| High-Order Scheme for Image | segmentation | via a Modified Level-Set Method, A |
| High-Order Triplet CRF-PCANet for Unsupervised | segmentation | of Nonstationary SAR Image |
| High-performance Algorithms Application for Retinal Image | segmentation | Based on Texture Features |
| High-Performance Feature Extraction Network for Point Cloud Semantic | segmentation | |
| High-Performance Optic Disc | segmentation | Using Convolutional Neural Networks |
| High-Performance | segmentation | for Flood Mapping of HISEA-1 SAR Remote Sensing Images |
| High-Quality Correspondence and | segmentation | Estimation for Dual-Lens Smart-Phone Portraits |
| High-Quality Instance- | segmentation | Network for Floating-Algae Detection Using RGB Images, A |
| High-quality retinal vessel | segmentation | using generative adversarial network with a large receptive field |
| High-Resolution Boundary-Constrained and Context-Enhanced Network for Remote Sensing Image | segmentation | |
| High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image | segmentation | |
| High-resolution rectified gradient-based visual explanations for weakly supervised | segmentation | |
| High-Resolution Remote Sensing Image | segmentation | Framework Based on Attention Mechanism and Adaptive Weighting |
| High-Resolution Rice Mapping Based on SNIC | segmentation | and Multi-Source Remote Sensing Images |
| High-Speed Dialog Detection for Automatic | segmentation | of Recorded TV Program |
| Higher level | segmentation | : Detecting and grouping of invariant repetitive patterns |
| Higher Order Color Mechanisms for Image | segmentation | |
| Higher Order Energies for Image | segmentation | |
| Higher order potentials with superpixel neighbourhood (HSN) for semantic image | segmentation | |
| Higher-order class-specific priors for semantic | segmentation | of 3D outdoor scenes |
| Higher-Order CRF Structural | segmentation | of 3D Reconstructed Surfaces |
| Higher-Order Image Co- | segmentation | |
| Higher-Order Minimum Cost Lifted Multicuts for Motion | segmentation | |
| Higher-Order Multicuts for Geometric Model Fitting and Motion | segmentation | |
| Higher-order regularization and morphological techniques for image | segmentation | |
| Higher-order | segmentation | via multicuts |
| Higher-Order Tensor Vessel Tractography for | segmentation | of Vascular Structures, A |
| Highlight and Shading Invariant Color Image | segmentation | Using Simulated Annealing |
| highly accurate and computationally efficient approach for unconstrained iris | segmentation | , A |
| Highly Accurate Dichotomous Image | segmentation | |
| Highly Consistent Sequential | segmentation | |
| Highly Usable and Accurate Iris | segmentation | |
| Hill-manipulation: An effective algorithm for color image | segmentation | |
| Hippocampal | segmentation | Tool Within an Open Cloud Infrastructure, An |
| Hippocampus | segmentation | Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding |
| Hippocampus | segmentation | Based on Orientation-Scale Descriptor and Sparse Coding |
| Hippocampus | segmentation | from MR Infant Brain Images via Boundary Regression |
| Histogram Analysis for Threshold Selection and | segmentation | |
| Histogram based fuzzy C-mean algorithm for image | segmentation | |
| Histogram Based Fuzzy Kohonen Clustering Network for Image | segmentation | |
| Histogram Based | segmentation | in a Perceptually Uniform Color Space |
| Histogram Based | segmentation | Using Wasserstein Distances |
| Histogram Clustering for Unsupervised Image | segmentation | |
| Histogram clustering for unsupervised | segmentation | and image retrieval |
| Histogram-Based Approach to Mathematical Line | segmentation | , A |
| Histogram-Based Chan-Vese Model Driven by Local Contrast Pattern for Texture Image | segmentation | , A |
| Histogram-based image | segmentation | using variational mode decomposition and correlation coefficients |
| histogram-based moment-preserving clustering algorithm for video | segmentation | , A |
| Histogram-based Motion | segmentation | and Characterisation of Focal Liver Lesions in CEUS |
| Histogram-Based Two-Stage Adaptive Character | segmentation | for Transcription of Inter-Point Hindi Braille to Text, A |
| Historical building point cloud | segmentation | combining hierarchical watershed transform and curvature analysis |
| History Based Incremental Singular Value Decomposition for Background Initialization and Foreground | segmentation | |
| HistoSegNet: Semantic | segmentation | of Histological Tissue Type in Whole Slide Images |
| HLS Distorted colour model for enhanced colour image | segmentation | |
| HM: Hybrid Masking for Few-Shot | segmentation | |
| HMM-based Approach for Gesture | segmentation | and Recognition, An |
| HMM-based Indic handwritten word recognition using zone | segmentation | |
| HMM-Based Recognizer with | segmentation | -free Strategy for Unconstrained Chinese Handwritten Text |
| HMM-Based | segmentation | Method for Traffic Monitoring Movies, An |
| Hmt-Contourlet Image | segmentation | Based on Majority Vote |
| HODOR: High-level Object Descriptors for Object Re- | segmentation | in Video Learned from Static Images |
| HOGMep: Variational Bayes and higher-order graphical models applied to joint image recovery and | segmentation | |
| Holistic Prototype Activation for Few-Shot | segmentation | |
| Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic | segmentation | and Object Detection, A |
| Homography Guided Temporal Fusion for Road Line and Marking | segmentation | |
| Hopfield neural network with prespecified time convergence for the | segmentation | of brain MR images |
| Hopfield Neural-Network for Adaptive Image | segmentation | : An Active Surface Paradigm, A |
| Hopfield Neural-Network for the Multichannel | segmentation | of Magnetic-Resonance Cerebral Images |
| Hough Forest Random Field for Object Recognition and | segmentation | |
| Hough Regions for Joining Instance Localization and | segmentation | |
| Hough-CNN: Deep learning for | segmentation | of deep brain regions in MRI and ultrasound |
| Houghencoder: Neural Network Architecture for Document Image Semantic | segmentation | |
| Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane | segmentation | in HER2/neu Images |
| Hourglass-Shape Network Based Semantic | segmentation | for High Resolution Aerial Imagery |
| How conditional independence assumption affects handwritten character | segmentation | |
| How Do Superpixels Affect Image | segmentation | ? |
| How Incompletely Segmented Information Affects Multi-Object Tracking and | segmentation | (MOTS) |
| How interaction methods affect image | segmentation | : User experience in the task |
| How Many Templates Does It Take for a Good | segmentation | ?: Error Analysis in Multiatlas Segmentation as a Function of Database Size |
| How Many Templates Does It Take for a Good | segmentation | ?: Error Analysis in Multiatlas Segmentation as a Function of Database Size |
| How Much Temporal Long-Term Context is Needed for Action | segmentation | ? |
| How Shift Equivariance Impacts Metric Learning for Instance | segmentation | |
| How to Collect | segmentation | s for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms |
| How to Reduce Change Detection to Semantic | segmentation | |
| HPNet: Deep Primitive | segmentation | Using Hybrid Representations |
| HQ-ISNet: High-Quality Instance | segmentation | for Remote Sensing Imagery |
| HRCNet: High-Resolution Context Extraction Network for Semantic | segmentation | of Remote Sensing Images |
| HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic | segmentation | |
| HTC+ for SAR Ship Instance | segmentation | |
| HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object | segmentation | |
| Human Action Recognition Using Temporal | segmentation | and Accordion Representation |
| Human Action | segmentation | and Recognition Using Discriminative Semi-Markov Models |
| Human action | segmentation | and recognition via motion and shape analysis |
| Human action | segmentation | via controlled use of missing data in HMMs |
| Human action | segmentation | with hierarchical supervoxel consistency |
| Human behavior | segmentation | and recognition using Continuous Linear Dynamic System |
| Human Body Motion | segmentation | in a Complex Scene |
| Human body | segmentation | based on independent component analysis with reference at two-scale superpixel |
| Human body | segmentation | based on shape constraint |
| Human Body | segmentation | in a Static Image with On-Line Adaboost at Multiscale Superpixels |
| Human Body | segmentation | via Data-Driven Graph Cut |
| Human Body | segmentation | with Multi-limb Error-Correcting Output Codes Detection and Graph Cuts Optimization |
| Human Body | segmentation | , Posture, Pose Related |
| Human detection and | segmentation | in the crowd environment by coimbining APD with HLBD approaches |
| Human Detection and | segmentation | via Multi-view Consensus |
| Human Detection with Occlusion Handling by Over- | segmentation | and Clustering on Foreground Regions |
| Human Face | segmentation | and Identification |
| Human face | segmentation | and Tracking using Connected Operators and Partition Projection |
| Human Figure | segmentation | Using Independent Component Analysis |
| Human Hair | segmentation | and Length Detection for Human Appearance Model |
| Human head-shoulder | segmentation | |
| Human Instance | segmentation | from Video using Detector-based Conditional Random Fields |
| Human motion | segmentation | using collaborative representations of 3D skeletal sequences |
| Human Motion | segmentation | via Robust Kernel Sparse Subspace Clustering |
| Human Motion | segmentation | via Velocity-Sensitive Dual-Side Auto-Encoder |
| Human perception-based image | segmentation | using optimising of colour quantisation |
| Human | segmentation | based on disparity map and GrabCut |
| Human | segmentation | by fusing visible-light and thermal imaginary |
| Human | segmentation | with Dynamic LiDAR Data |
| Human Skin | segmentation | Improved by Saliency Detection |
| Human Skin | segmentation | Improved by Texture Energy Under Superpixels |
| Human Understandable Features for | segmentation | of Solid Texture |
| Human Vision Based 3D Point Cloud Semantic | segmentation | of Large-Scale Outdoor Scenes |
| human visual system-driven image | segmentation | algorithm, A |
| Human-Area | segmentation | by Selecting Similar Silhouette Images Based on Weak-Classifier Response |
| Human-Centric Clothing | segmentation | via Deformable Semantic Locality-Preserving Network |
| Human-Centric Relation | segmentation | : Dataset and Solution |
| Human-Centric Visual Relation | segmentation | Using Mask R-CNN and VTransE |
| Human-in-the-Loop Video Semantic | segmentation | Auto-Annotation |
| Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic | segmentation | |
| hybrid active contour model based on pre-fitting energy and adaptive functions for fast image | segmentation | , A |
| hybrid active contour model with structure feature for image | segmentation | , A |
| hybrid algorithm for automatic heart | segmentation | in CT Angiography, A |
| Hybrid Approach for Arabidopsis Root Cell Image | segmentation | , A |
| Hybrid Approach for Improved Image Similarity Using Semantic | segmentation | , A |
| Hybrid Approach for | segmentation | and Tracking of Myxococcus Xanthus Swarms, A |
| hybrid approach to character | segmentation | of Gurmukhi script characters, A |
| Hybrid Approach to Range Image | segmentation | , A |
| Hybrid Approach Toward Model-Based Texture | segmentation | , A |
| Hybrid Approach via SRG and IDE for Volume | segmentation | , A |
| Hybrid Approaches for Interactive Image | segmentation | Using the Live Markers Paradigm |
| Hybrid attention mechanism of feature fusion for medical image | segmentation | |
| Hybrid body representation for integrated pose recognition, localization and | segmentation | |
| Hybrid Color | segmentation | Method Using a Customized Nonlinear Similarity Function |
| Hybrid computational architectures for image | segmentation | |
| Hybrid Cross-Transformer-KPConv for Point Cloud | segmentation | |
| Hybrid Decision Forests for Prostate | segmentation | in Multi-channel MR Images |
| Hybrid Deformable Models for Medical | segmentation | and Registration |
| Hybrid feature CNN model for point cloud classification and | segmentation | |
| Hybrid feature enhancement network for few-shot semantic | segmentation | |
| Hybrid fitting energy-based fast level set model for image | segmentation | solving by algebraic multigrid and sparse field method |
| Hybrid for Line | segmentation | in Handwritten Documents, A |
| Hybrid forests for left ventricle | segmentation | using only the first slice label |
| hybrid framework for brain tissue | segmentation | in magnetic resonance images, A |
| Hybrid Framework for Image | segmentation | Using Probabilistic Integration of Heterogeneous Constraints, A |
| Hybrid Framework for Medical Image | segmentation | |
| Hybrid fully convolutional networks-based skin lesion | segmentation | and melanoma detection using deep feature |
| Hybrid Fusion-Based Background | segmentation | in Multispectral Polarimetric Imagery |
| Hybrid Genetic Algorithm and Gravitational Search Algorithm for Image | segmentation | Using Multilevel Thresholding, A |
| Hybrid Graph Model for Unsupervised Object | segmentation | , A |
| Hybrid graphical model for semantic image | segmentation | |
| Hybrid Grasshopper Optimization Algorithm and Differential Evolution for Multilevel Satellite Image | segmentation | |
| hybrid image | segmentation | method for building extraction from high-resolution RGB images, A |
| Hybrid image | segmentation | using LiDAR 3D planar primitives |
| Hybrid Image | segmentation | Using Watersheds And Fast Region Merging |
| Hybrid Level Set With Semantic Shape Constraint for Object | segmentation | , A |
| Hybrid method combining superpixel, supervised learning, and random walk for glioma | segmentation | |
| Hybrid Method for Automatic Anatomical Variant Detection and | segmentation | , A |
| Hybrid Method for Range Image | segmentation | , A |
| Hybrid Method for Vascular | segmentation | , A |
| Hybrid Method Towards the | segmentation | of Range Images for 3-D Object Recognition, A |
| Hybrid multi-GPU computing: accelerated kernels for | segmentation | and object detection with medical image processing applications |
| hybrid multi-modal visual data cross fusion network for indoor and outdoor scene | segmentation | , A |
| Hybrid neural-like P systems with evolutionary channels for multiple brain metastases | segmentation | |
| Hybrid Page | segmentation | with Efficient Whitespace Rectangles Extraction and Grouping |
| Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image | segmentation | , A |
| Hybrid region merging method for | segmentation | of high-resolution remote sensing images |
| Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action | segmentation | , A |
| Hybrid Scheme for Contour Detection and Completion Based on Topological Gradient and Fast Marching Algorithms: Application to Inpainting and | segmentation | , A |
| Hybrid | segmentation | and D-Bar Method for Electrical Impedance Tomography, A |
| Hybrid | segmentation | Framework for Computer-Assisted Dental Procedures, A |
| Hybrid | segmentation | method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images |
| Hybrid | segmentation | of colon filled with air and opacified fluid for CT colonography |
| Hybrid | segmentation | : Artificial Neural Network Classification of High Resolution Hyperspectral Imagery for Site-Specific Herbicide Management in Agriculture |
| Hybrid structural and texture distinctiveness vector field convolution for region | segmentation | |
| Hybrid superpixel | segmentation | |
| Hybrid Task Cascade for Instance | segmentation | |
| Hybrid Unmixing Based on Adaptive Region | segmentation | for Hyperspectral Imagery |
| hybrid watershed method for cell image | segmentation | , A |
| HybridCR: Weakly-Supervised 3D Point Cloud Semantic | segmentation | via Hybrid Contrastive Regularization |
| Hybridizing Cross-Level Contextual and Attentive Representations for Remote Sensing Imagery Semantic | segmentation | |
| HybridVPS: Hybrid-Supervised Video Polyp | segmentation | Under Low-Cost Labels |
| HyNet: 3D | segmentation | Using Hybrid Graph Networks |
| Hyper-Convolution Networks for Biomedical Image | segmentation | |
| Hyper-Spectral Imaging for Overlapping Plastic Flakes | segmentation | |
| Hyperbolic Image | segmentation | |
| Hyperbolic Uncertainty Aware Semantic | segmentation | |
| Hypercolumns for object | segmentation | and fine-grained localization |
| HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image | segmentation | |
| Hyperelastic Deformable Template for Cardiac | segmentation | in MRI, A |
| Hypergraph Convolutional Networks for Weakly-Supervised Semantic | segmentation | |
| Hypergraph Reduction Algorithm for Joint | segmentation | and Classification of Satellite Image Content, A |
| Hypergraph Spectral Clustering for Point Cloud | segmentation | |
| Hyperpixels: Flexible 4D Over- | segmentation | for Dense and Sparse Light Fields |
| HyperSeg: Patch-wise Hypernetwork for Real-time Semantic | segmentation | |
| HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image | segmentation | using HyperNet |
| Hyperspectral and LiDAR Data Fusion Classification Using Superpixel | segmentation | -Based Local Pixel Neighborhood Preserving Embedding |
| Hyperspectral and Rgb Dataset for Building Facade | segmentation | , A |
| Hyperspectral Image Classification with Multi-Attention Transformer and Adaptive Superpixel | segmentation | -Based Active Learning |
| Hyperspectral Image Denoising Based on Low-Rank Representation and Superpixel | segmentation | |
| Hyperspectral Image Denoising with | segmentation | -Based Low Rank Representation |
| Hyperspectral image | segmentation | and unmixing using hidden Markov trees |
| Hyperspectral Image | segmentation | for Paint Analysis |
| Hyperspectral image | segmentation | through evolved cellular automata |
| Hyperspectral Image | segmentation | Using a New Bayesian Approach With Active Learning |
| Hyperspectral Image | segmentation | Using a New Spectral Mixture-Based Binary Partition Tree Representation |
| Hyperspectral Image | segmentation | Using a New Spectral Unmixing-Based Binary Partition Tree Representation |
| Hyperspectral image | segmentation | using Binary Partition Trees |
| Hyperspectral Image | segmentation | via Frequency-Based Similarity for Mixed Noise Estimation |
| Hyperspectral Tissue Image | segmentation | Using Semi-Supervised NMF and Hierarchical Clustering |
| Hypothesis Testing for Coarse Region Estimation and Stable Point Determination Applied to Markovian Texture | segmentation | |
| I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic | segmentation | |
| I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic | segmentation | |
| IAC-ReCAM: Two-dimensional attention modulation and category label guidance for weakly supervised semantic | segmentation | |
| IAGC: Interactive Attention Graph Convolution Network for Semantic | segmentation | of Point Clouds in Building Indoor Environment |
| ICDAR 2003 page | segmentation | competition |
| ICDAR 2009 Handwriting | segmentation | Contest |
| ICDAR 2009 Page | segmentation | Competition |
| ICDAR 2013 Handwriting | segmentation | Contest |
| ICDAR2005 page | segmentation | competition |
| ICDAR2009 handwriting | segmentation | contest |
| ICENET: A Semantic | segmentation | Deep Network for River Ice by Fusing Positional and Channel-Wise Attentive Features |
| ICENETv2: A Fine-Grained River Ice Semantic | segmentation | Network Based on UAV Images |
| IceSynth: An Image Synthesis System for Sea-Ice | segmentation | Evaluation |
| ICFHR 2010 Handwriting | segmentation | Contest |
| ICNet for Real-Time Semantic | segmentation | on High-Resolution Images |
| Iconic Modelling for the Progressive Transmission of Neurological Images: | segmentation | |
| ICORD: Intelligent Collection of Redundant Data: A Dynamic System for Crowdsourcing Cell | segmentation | s Accurately and Efficiently |
| iCoseg: Interactive co- | segmentation | with intelligent scribble guidance |
| ICPR 2020 Competition on Text Block | segmentation | on a NewsEye Dataset |
| ICPR 2020 Competition on Text Block | segmentation | on a Newseye Dataset |
| IDD-AW: A Benchmark for Safe and Robust | segmentation | of Drive Scenes in Unstructured Traffic and Adverse Weather |
| Identification and Evaluation of Urban Construction Waste with VHR Remote Sensing Using Multi-Feature Analysis and a Hierarchical | segmentation | Method |
| Identification and | segmentation | of finely textured and solid regions of binary images |
| Identification and sizing of the entirely visible rocks from a 3D surface data | segmentation | of laboratory rock piles |
| Identification of Human Faces Using Data-Driven | segmentation | , Rule-based Hypothesis Formulation, and Iterative Model-based Hypothesis Verification |
| Identification of Misclassified Pixels in Semantic | segmentation | With Uncertainty Evaluation |
| Identification of Salt Deposits on Seismic Images Using Deep Learning Method for Semantic | segmentation | |
| Identification, characterization, and | segmentation | of Halftone or stippled regions of binary images by growing a seed to a clipping mask |
| Identifying Generalizable Image | segmentation | Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree Modeling |
| Identifying Urban Functional Regions from High-Resolution Satellite Images Using a Context-Aware | segmentation | Network |
| Identity Independent Object | segmentation | in 2 1/2D Sketch Data |
| IDNet: Information Decomposition Network for Fast Panoptic | segmentation | |
| IESK-ArDB: a database for handwritten Arabic and an optimized topological | segmentation | approach |
| IFSeg: Image-free Semantic | segmentation | via Vision-Language Model |
| IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle | segmentation | and Propagation in Volumetric Ultrasound |
| IFTrace: Video | segmentation | of deformable objects using the Image Foresting Transform |
| IGS: A Paradigm for Integrating Image | segmentation | and Interpretation |
| ILC-Unet++ for Covid-19 Infection | segmentation | |
| Illuminant | segmentation | for multi-illuminant scenes using latent illumination encoding |
| Illuminant | segmentation | in non-uniformly lit scenes |
| Illuminating Pedestrians via Simultaneous Detection and | segmentation | |
| Illumination Chromaticity Estimation Based on Dichromatic Reflection Model and Imperfect | segmentation | |
| Illumination Compensated | segmentation | of Microscopic Images of Activated Sludge Flocs |
| Illumination invariant active contour-based | segmentation | using complex-valued wavelets |
| Illumination Invariant Motion | segmentation | of Simple Connected Objects |
| Illumination invariant | segmentation | of spatio-temporal images by spatio-temporal markov random field model |
| Illumination normalized based technique for retinal blood vessel | segmentation | |
| Illumination Subspace for Multibody Motion | segmentation | |
| Illumination-based Transformations Improve Skin Lesion | segmentation | in Dermoscopic Images |
| Illumination-invariant image retrieval and video | segmentation | |
| image analogy approach for multi-scale image | segmentation | , An |
| Image Analysis: | segmentation | Operator Cooperation Led by the Interpretation |
| Image and Boundary | segmentation | Via Minimal-Length Encoding on the Connection Machine |
| Image and Texture | segmentation | Using Local Spectral Histograms |
| Image and video dehazing using view-based cluster | segmentation | |
| Image and Video | segmentation | by Anisotropic Kernel Mean Shift |
| Image and Video | segmentation | by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection |
| Image and video | segmentation | : the normalized cut framework |
| Image and Volume | segmentation | by Water Flow |
| Image Augmentations in Planetary Science: Implications in Self-Supervised Learning and Weakly-Supervised | segmentation | on Mars |
| Image Block Classification and Variable Block Size | segmentation | Using a Model-Fitting Criterion |
| Image Class | segmentation | via Conditional Random Field over Weighted Histogram Classifier |
| Image classification based on | segmentation | -free object recognition |
| Image classification using SLIC superpixel and FAAGKFCM image | segmentation | |
| Image Classification with | segmentation | Graph Kernels |
| Image clustering algorithm using superpixel | segmentation | and non-symmetric Gaussian-Cauchy mixture model |
| Image Co-Saliency Detection and Co- | segmentation | via Progressive Joint Optimization |
| Image Co-Saliency Detection and Instance Co- | segmentation | Using Attention Graph Clustering Based Graph Convolutional Network |
| Image Co- | segmentation | Using Maximum Common Subgraph Matching and Region Co-growing |
| Image Co- | segmentation | via Consistent Functional Maps |
| Image Co- | segmentation | via Saliency Co-fusion |
| Image Co-Skeletonization via Co- | segmentation | |
| Image coding with fuzzy region-growing | segmentation | |
| Image Compositing for | segmentation | of Surgical Tools Without Manual Annotations |
| Image compression based on fuzzy | segmentation | and anisotropic diffusion |
| Image Compression with Encoder-Decoder Matched Semantic | segmentation | |
| Image data augmentation for improving performance of deep learning-based model in pathological lung | segmentation | |
| Image Decomposition and Texture | segmentation | via Sparse Representation |
| Image denoising based on adaptive spatial | segmentation | and multi-scale correlation in directionlet domain |
| Image Denoising With Edge-Preserving and | segmentation | Based on Mask NHA |
| Image Differencing, Motion | segmentation | and Filtering Techniques |
| Image Editing via | segmentation | Guided Self-Attention Network |
| Image Embedding in Image by a Complexity Based Region | segmentation | Method, An |
| Image Enhancement Based on Fractional Poisson for | segmentation | of Skin Lesions Using the Watershed Transform |
| Image enhancement based on skin-colour | segmentation | and smoothness |
| Image Enhancement for | segmentation | by Self-Induced Autoregressive Filtering |
| Image Enhancement | segmentation | and Denoising by Time Dependent Nonlinear Diffusion Processes |
| Image feature based GPS trace filtering for road network generation and road | segmentation | |
| Image Flow | segmentation | and Estimation by Constraint Line Clustering |
| Image foresting transform with geodesic star convexity for interactive image | segmentation | |
| Image Foresting Transform: On-the-Fly Computation of | segmentation | Boundaries |
| image fusion method based on region | segmentation | and Cauchy convolution, An |
| Image Fusion Using Region | segmentation | and Sigmoid Function |
| Image Identification and | segmentation | According to Random Field Models |
| Image Inpainting and | segmentation | using Hierarchical Level Set Method |
| Image labeling by multiple | segmentation | |
| Image Labels Are All You Need for Coarse Seagrass | segmentation | |
| Image Matching Algorithm Integrating Global SRTM and Image | segmentation | for Multi-Source Satellite Imagery, An |
| Image Model and | segmentation | Algorithm for Reflectance Confocal Images of In Vivo Cervical Tissue, An |
| Image Modeling and | segmentation | Using Incremental Bayesian Mixture Models |
| Image Parsing: Unifying | segmentation | , Detection, and Recognition |
| Image Piece Learning for Weakly Supervised Semantic | segmentation | |
| Image processing method including image | segmentation | |
| Image Processing Methods for Coronal Hole | segmentation | , Matching, and Map Classification |
| Image Projection Network: 3D to 2D Image | segmentation | in OCTA Images |
| Image Quality Evaluation Model Based on Local Features and | segmentation | |
| Image Re- | segmentation | Applied to Urban Imagery |
| Image Recovery and | segmentation | Using Competitive Learning in a Layered Network |
| Image region annotation based on | segmentation | and semantic correlation analysis |
| Image registration-based brain tumor detection and | segmentation | using ANFIS classification approach |
| Image restoration and | segmentation | using the Ambrosio-Tortorelli functional and Discrete Calculus |
| Image restoration under mixed noise using globally convex | segmentation | |
| Image retrieval and | segmentation | based on color invariants |
| Image Seaming for | segmentation | on Parallel Architecture |
| Image | segmentation | |
| Image | segmentation | |
| Image | segmentation | |
| Image | segmentation | algorithm based on geometric flow Bandelets transformation particle replanting |
| Image | segmentation | algorithm based on neutrosophic fuzzy clustering with non-local information |
| Image | segmentation | algorithm based on superpixel clustering |
| Image | segmentation | algorithm by piecewise smooth approximation |
| Image | segmentation | algorithm development using ground truth image data sets |
| Image | segmentation | Algorithm Using Iteratively the Mean Shift, An |
| Image | segmentation | algorithms based on the machine learning of features |
| Image | segmentation | and Analysis via Multiscale Gradient Watershed Hierarchies |
| Image | segmentation | and Clustering |
| Image | segmentation | and Contour Detection Using Fractal Coding |
| Image | segmentation | and Discriminant-Analysis for the Identification of Land-Cover Units in Ecology |
| Image | segmentation | and Edge Enhancement with Stabilized Inverse Diffusion Equations |
| Image | segmentation | and Feature Extraction |
| Image | segmentation | and filtering based on transformations with reconstruction criteria |
| Image | segmentation | and Filtering of Anaerobic Lagoon Floating Cover in Digital Elevation Model and Orthomosaics Using Unsupervised k-Means Clustering for Scum Association Analysis |
| Image | segmentation | and image matching for 3D terrain reconstruction |
| Image | segmentation | and Image Models |
| Image | segmentation | and Labeling Using Free-Form Semantic Annotation |
| Image | segmentation | and Labeling Using the Polya Urn Model |
| Image | segmentation | and Matching Using the Binary Object Forest |
| Image | segmentation | and Modeling of the Pediatric Tricuspid Valve in Hypoplastic Left Heart Syndrome |
| Image | segmentation | and Nucleus Classification for Automated Tissue Section Analysis |
| Image | segmentation | and Object Recognition by Bayesian Grouping |
| Image | segmentation | and Object-Based Image Analysis for Environmental Monitoring: Recent Areas of Interest, Researchers' Views on the Future Priorities |
| Image | segmentation | and Recognition by Texture Discrimination: A Syntactic Approach |
| Image | segmentation | and Recognition for Multi-Class Chinese Food |
| Image | segmentation | and Reflection Analysis Through Color |
| Image | segmentation | and Region Filling for Virtual Restoration of Artworks |
| Image | segmentation | and Selective Smoothing by Using Mumford-Shah Model |
| Image | segmentation | and Shape Analysis for Road-Sign Detection |
| Image | segmentation | and Tracking Method by Segment Scanning Wave Propagation Network, An |
| Image | segmentation | as an Estimation Problem |
| Image | segmentation | as Regularized Clustering: A Fully Global Curve Evolution Method |
| Image | segmentation | Based Approach for the Purpose of Developing Satellite Image Spatial Information Extraction for Forestation and River Bed Analysis |
| Image | segmentation | based on a multiresolution Bayesian framework |
| Image | segmentation | Based on Adaptive Fuzzy-C-Means Clustering |
| Image | segmentation | Based on an Original Multiscale Analysis of the Pixel Connectivity Properties |
| Image | segmentation | Based on Combination of the Global and Local Information |
| Image | segmentation | Based on Constrained Spectral Variance Difference and Edge Penalty |
| Image | segmentation | based on Differential Evolution algorithm |
| Image | segmentation | Based on Electrical Proximity in a Resistor-Capacitor Network |
| Image | segmentation | Based on Fuzzy Connectedness Using Dynamic Weights |
| Image | segmentation | Based on Genetic Algorithms Combination |
| Image | segmentation | Based on GrabCut Framework Integrating Multiscale Nonlinear Structure Tensor |
| Image | segmentation | Based on Height Maps |
| Image | segmentation | based on hierarchical mapping |
| Image | segmentation | Based on Inscribed circle |
| Image | segmentation | Based on k-Means Clustering and Energy-Transfer Proximity |
| Image | segmentation | based on maximum-likelihood estimation and optimum entropy-distribution (MLE-OED) |
| Image | segmentation | based on merging of sub-optimal segmentations |
| Image | segmentation | based on merging of sub-optimal segmentations |
| Image | segmentation | based on multi-region multi-scale local binary fitting and Kullback-Leibler divergence |
| Image | segmentation | based on multiresolution filtering |
| Image | segmentation | based on multiresolution Markov random field with fuzzy constraint in wavelet domain |
| image | segmentation | based on optimized spatial feature of superpixel, The |
| Image | segmentation | Based on Oscillatory Correlation |
| Image | segmentation | based on situational DCT descriptors |
| Image | segmentation | Based on Solving the Flow in the Mesh with the Connections of Limited Capacities |
| Image | segmentation | Based on Spatially Coherent Gaussian Mixture Model |
| Image | segmentation | Based on Statistically Principled Clustering |
| Image | segmentation | Based on Supernodes and Region Size Estimation |
| Image | segmentation | based on the integration of colour-texture descriptors: A review |
| Image | segmentation | Based on the Integration of Pixel Affinity and Deformable Models |
| Image | segmentation | Based on the Poincare Map Method |
| Image | segmentation | Based on Transformations with Reconstruction Criteria |
| Image | segmentation | based on ultimate levelings: From attribute filters to machine learning strategies |
| Image | segmentation | based on weighting boundary information via graph cut |
| Image | segmentation | by a contrario simulation |
| Image | segmentation | by a Fuzzy Clustering-Algorithm Using Adaptive Spatially Constrained Membership Functions |
| Image | segmentation | by a Multiresolution Approach |
| Image | segmentation | by a new weighted student's t-mixture model |
| Image | segmentation | by a Parallel, Non-Parametric Histogram Based Clustering Algorithm |
| Image | segmentation | by a Robust Clustering Algorithm Using Gaussian Estimator |
| Image | segmentation | by a robust generalized fuzzy c-means algorithm |
| Image | segmentation | by a Syntactic Method |
| Image | segmentation | by Active Contour Model with a New Data Fidelity |
| Image | segmentation | by Bilayer Superpixel Grouping |
| Image | segmentation | by Branch-and-Mincut |
| Image | segmentation | by Cascaded Region Agglomeration |
| Image | segmentation | by clustering of spatial patterns |
| Image | segmentation | by combining the strengths of Relative Fuzzy Connectedness and Graph Cut |
| Image | segmentation | by Connectivity Preserving Relinking in Hierarchical Graph Structures |
| Image | segmentation | by Conventional and Information-Integrating Techniques: A Synopsis |
| Image | segmentation | by convex quadratic programming |
| Image | segmentation | by cooperative optimization |
| Image | segmentation | by cue selection and integration |
| Image | segmentation | by Data-Driven Markov Chain Monte Carlo |
| Image | segmentation | by Deep Learning of Disjunctive Normal Shape Model Shape Representation |
| Image | segmentation | by Directed Region Subdivision |
| Image | segmentation | by dirichlet process mixture model with generalised mean |
| Image | segmentation | by figure-ground composition into maximal cliques |
| Image | segmentation | by Flexible Models Based on Robust Regularized Networks |
| Image | segmentation | by fusion of low level and domain specific information via Markov Random Fields |
| Image | segmentation | by geodesic voting. Application to the extraction of tree structures from confocal microscope images |
| Image | segmentation | by histogram thresholding using fuzzy sets |
| Image | segmentation | by histogram thresholding using hierarchical cluster analysis |
| Image | segmentation | by Image Analogies |
| Image | segmentation | by image foresting transform with geodesic band constraints |
| Image | segmentation | by Integration of Edge and Region Data: The Influence of Edge Detection Algorithms |
| Image | segmentation | by Interactively Combining Line, Region, and Semantic Structure |
| Image | segmentation | by iterated region merging with localized graph cuts |
| Image | segmentation | by Iterative Method |
| Image | segmentation | by iterative optimization of multiphase multiple piecewise constant model and Four-Color relabeling |
| Image | segmentation | by Jensen-Shannon Divergence: Application to Measurement of Interfacial Tension |
| Image | segmentation | by learning approach |
| Image | segmentation | by local entropy methods |
| Image | segmentation | by MAP-ML Estimations |
| Image | segmentation | by means of fuzzy entropy measure |
| Image | segmentation | by means of temporal parallax difference induction |
| Image | segmentation | By Multigrid Markov Random Field Optimization and Perceptual Considerations |
| Image | segmentation | by Nested Cuts |
| Image | segmentation | by Neural-net Classifiers with Genetic Selection of Feature Indices |
| Image | segmentation | by Nonparametric Clustering based on the Kolmogorov-Smirnov Distance |
| Image | segmentation | by Oriented Image Foresting Transform with Geodesic Star Convexity |
| Image | segmentation | by Pixel Classification |
| Image | segmentation | by Pixel Classification in (gray level, edge value) space |
| Image | segmentation | by Probabilistic Bottom-Up Aggregation and Cue Integration |
| Image | segmentation | by Reaction-Diffusion Bubbles |
| Image | segmentation | by region-contour cooperation for image coding |
| Image | segmentation | by relaxation using constraint satisfaction neural network |
| Image | segmentation | by selecting eigenvectors based on extended information entropy |
| Image | segmentation | By Semantic Method |
| Image | segmentation | by shape particle filtering |
| Image | segmentation | by Shape-Directed Covers |
| Image | segmentation | by spatially adaptive color and texture features |
| Image | segmentation | by Succesive Background Extraction |
| Image | segmentation | By Syntactic Method |
| Image | segmentation | by texture analysis |
| Image | segmentation | by Texture Using Pyramid Node Linking |
| Image | segmentation | by three-level thresholding based on maximum fuzzy entropy and genetic algorithm |
| Image | segmentation | by Tree-Structured Markov Random Fields |
| Image | segmentation | by Unifying Region and Boundary Information |
| Image | segmentation | by Unsupervised Sparse Clustering |
| Image | segmentation | Combining Region Depth and Object Features |
| Image | segmentation | combining region growing and edge detection |
| Image | segmentation | Considering Properties of the Human Visual System |
| Image | segmentation | Evaluation by Techniques of Comparing Clusterings |
| Image | segmentation | evaluation: A survey of unsupervised methods |
| Image | segmentation | for appearance-based self-localisation |
| Image | segmentation | for classification of vegetation using NOAA-AVHRR data |
| Image | segmentation | for Complex Natural Scenes |
| Image | segmentation | for Compression of Images and Image Sequences |
| Image | segmentation | for detection of soft plaques in multidetector CT images |
| Image | segmentation | for Human Tracking using Sequential-Image-Based Hierarchical Adaptation |
| Image | segmentation | for Intensity Inhomogeneity in Presence of High Noise |
| Image | segmentation | for large-scale subcategory flower recognition |
| Image | segmentation | for Robots: Fast Self-adapting Gaussian Mixture Model |
| Image | segmentation | for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles |
| Image | segmentation | framework based on multiple feature spaces |
| Image | segmentation | framework based on optimal multi-method fusion |
| Image | segmentation | Framework Based on Patch Segmentation Fusion, An |
| Image | segmentation | Framework Based on Patch Segmentation Fusion, An |
| Image | segmentation | from Consensus Information |
| Image | segmentation | from Motion Information |
| Image | segmentation | from scale and rotation invariant texture features from the double dyadic dual-tree complex wavelet transform |
| Image | segmentation | functional model |
| Image | segmentation | Fusion Using General Ensemble Clustering Methods |
| Image | segmentation | fusion using weakly supervised trace-norm multi-task learning method |
| Image | segmentation | in a kernel-induced space |
| Image | segmentation | in Pyramids |
| Image | segmentation | in Pyramids |
| Image | segmentation | in the Presence of Shadows and Highlights |
| Image | segmentation | in Twenty Questions |
| image | segmentation | method based on Type-2 fuzzy Gaussian Mixture Models, An |
| Image | segmentation | Method of Heavy Forgings Based on Genetic Algorithm |
| Image | segmentation | Method Using Thresholds Automatically Determined from Picture Contents |
| Image | segmentation | Methods for Detecting Blood Vessels in Angiography |
| Image | segmentation | model based on adaptive adjustment of global and local information |
| Image | segmentation | Model using Active Contour and Image Decomposition |
| Image | segmentation | of Bricks in Masonry Wall Using a Fusion of Machine Learning Algorithms |
| Image | segmentation | of color image based on region coherency |
| Image | segmentation | of Drosophila's Compound Eyes via Two-Dimensional Otsu Thresholding on the Basis of AGA |
| Image | segmentation | of G bands of Triticum monococcum chromosomes based on the model-based neural network |
| Image | segmentation | of Historical Documents: Using a Quality Index |
| Image | segmentation | of mesenchymal stem cells in diverse culturing conditions |
| Image | segmentation | of Overlapping Particles in Automatic Size Analysis Using Multi-Flash Imaging |
| Image | segmentation | of UV pattern for automatic paper-money inspection |
| Image | segmentation | of Vickers Indentations Using Shape from Focus |
| Image | segmentation | on spherical coordinate representation of RGB colour space |
| Image | segmentation | Parameter Optimization Considering Within- and Between-Segment Heterogeneity at Multiple Scale Levels: Test Case for Mapping Residential Areas Using Landsat Imagery |
| Image | segmentation | Parameter Selection and Ant Colony Optimization for Date Palm Tree Detection and Mapping from Very-High-Spatial-Resolution Aerial Imagery |
| Image | segmentation | Schema for Low-Level Computer Vision |
| Image | segmentation | system |
| Image | segmentation | system and method |
| Image | segmentation | Technique for Locating Automotive Parts on Belt Conveyors |
| Image | segmentation | Techniques |
| Image | segmentation | technology based on transformer in medical decision-making system |
| Image | segmentation | That Merges Together Boundary and Region Information |
| Image | segmentation | That Optimizes Global Homogeneity in a Variational Framework |
| Image | segmentation | through combined methods: Watershed transform, unsupervised distance learning and Normalized Cut |
| Image | segmentation | Through Dual Pyramid of Agents |
| Image | segmentation | through energy minimization based subspace fusion |
| Image | segmentation | Through Operators Based on Topology |
| Image | segmentation | To Inspect 3-D Object Sizes |
| Image | segmentation | towards natural clusters |
| Image | segmentation | towards new image representation methods |
| Image | segmentation | under Occlusion Using Selective Shape Priors |
| Image | segmentation | Using a Dynamic Thresholding Pyramid |
| Image | segmentation | using a hierarchical student's-t mixture model |
| Image | segmentation | Using a Local Extrema Texture Measure |
| Image | segmentation | Using a Local GMM in a Variational Framework |
| Image | segmentation | Using a Mixture of Principal Components Representation |
| Image | segmentation | Using a Sparse Coding Model of Cortical Area V1 |
| Image | segmentation | Using a Spatially Correlated Mixture Model with Gaussian Process Priors |
| Image | segmentation | using a texture gradient based watershed transform |
| Image | segmentation | using a unified Markov random field model |
| Image | segmentation | Using Active Contours and Evidential Distance |
| Image | segmentation | Using Active Contours Driven by the Bhattacharyya Gradient Flow |
| Image | segmentation | Using Active Contours With Normally Biased GVF External Force |
| Image | segmentation | using an efficient rotationally invariant 3D region-based hidden Markov model |
| Image | segmentation | using association rule features |
| Image | segmentation | Using Automatic Seeded Region Growing and Instance-Based Learning |
| Image | segmentation | Using Bayesian Inference for Convex Variant Mumford-Shah Variational Model |
| Image | segmentation | using clique based shape prior and the Mumford Shah Functional |
| Image | segmentation | Using Clustering |
| Image | segmentation | using clustering with saddle point detection |
| Image | segmentation | Using Co-EM Strategy |
| Image | segmentation | using Commute times |
| Image | segmentation | using consensus from hierarchical segmentation ensembles |
| Image | segmentation | using consensus from hierarchical segmentation ensembles |
| Image | segmentation | using contour, surface, and depth cues |
| Image | segmentation | using curve evolution and flow fields |
| Image | segmentation | using curve evolution and region stability |
| Image | segmentation | Using Deep Learning: A Survey |
| Image | segmentation | using dense and sparse hierarchies of superpixels |
| Image | segmentation | Using Dictionary Learning and Compressed Random Features |
| Image | segmentation | Using Disjunctive Normal Bayesian Shape and Appearance Models |
| Image | segmentation | using Dual Distribution Matching |
| Image | segmentation | Using Dynamic Run-Length Coding Technique |
| Image | segmentation | using finite mixtures and spatial information |
| Image | segmentation | Using Fractal Coding |
| Image | segmentation | Using Fuzzy Correlation |
| Image | segmentation | using fuzzy energy-based active contour with shape prior |
| Image | segmentation | Using Fuzzy Region Competition and Spatial/Frequency Information |
| Image | segmentation | using fuzzy rule based system and graph cuts |
| Image | segmentation | Using Geometric and Physical Constraints |
| Image | segmentation | Using GMRF Models: Parameters Estimation and Applications |
| Image | segmentation | using gradient vector diffusion and region merging |
| Image | segmentation | Using Graph Representations and Local Appearance and Shape Models |
| Image | segmentation | Using Hidden Markov Gauss Mixture Models |
| Image | segmentation | Using Hierarchical Merge Tree |
| Image | segmentation | Using Higher-Order Correlation Clustering |
| Image | segmentation | using histogram specification |
| Image | segmentation | Using Information Bottleneck Method |
| Image | segmentation | Using Iterated Graph Cuts Based on Multi-scale Smoothing |
| Image | segmentation | Using Iterated Graph Cuts with Residual Graph |
| Image | segmentation | using iterative watersheding plus ridge detection |
| Image | segmentation | Using Laser Radar Data |
| Image | segmentation | Using Level Set and Local Linear Approximations |
| Image | segmentation | Using Linked Mean-Shift Vectors and Global/Local Attributes |
| Image | segmentation | Using Local Spectral Histograms |
| Image | segmentation | using local spectral histograms and linear regression |
| Image | segmentation | Using Local Variation |
| Image | segmentation | Using Local Variation and Edge-Weighted Centroidal Voronoi Tessellations |
| Image | segmentation | Using Markov Random Field Model in Fully Parallel Cellular Network Architectures |
| Image | segmentation | Using Maximum Gradient Profiles Orthogonal to Edges |
| Image | segmentation | using multi-region stability and edge strength |
| Image | segmentation | using multilevel graph cuts and graph development using fuzzy rule-based system |
| Image | segmentation | Using Multiresolution Wavelet Analysis and Expectation-Maximization (EM) Algorithm for Digital Mammography |
| Image | segmentation | Using Ncut In The Wavelet Domain |
| Image | segmentation | Using Normalized Cuts and Efficient Graph-Based Segmentation |
| Image | segmentation | Using Normalized Cuts and Efficient Graph-Based Segmentation |
| Image | segmentation | Using on Hierachical Meshes |
| Image | segmentation | Using Parametric Contours With Free Endpoints |
| Image | segmentation | Using Probabilistic Fuzzy C-means Clustering |
| Image | segmentation | Using Quadtree-Based Similarity Graph and Normalized Cut |
| Image | segmentation | using robust mixture models |
| Image | segmentation | using Salient Points-Based Object Templates |
| Image | segmentation | Using Simple Markov Field Models |
| Image | segmentation | Using Situational DCT Descriptors |
| Image | segmentation | Using Some Piecewise Constant Level Set Methods with MBO Type of Projection |
| Image | segmentation | Using Sparse Subset Selection |
| Image | segmentation | Using Text and Image Prompts |
| Image | segmentation | Using Texture and Gray Level |
| Image | segmentation | Using Texture Boundary Detection |
| Image | segmentation | Using the Double Markov Random Field, with Application to Land Use Estimation |
| Image | segmentation | using the level set and improved-variation smoothing |
| Image | segmentation | Using Topological Persistence |
| Image | segmentation | utilizing wavelet-based spatially adaptive kernels |
| Image | segmentation | Via Adaptive K-Mean Clustering And Knowledge-Based Morphological Operations With Biomedical Applications |
| Image | segmentation | via brittle fracture mechanics |
| Image | segmentation | via coherent clustering in L*a*b* color space |
| Image | segmentation | via convolution of a level-set function with a Rigaut Kernel |
| Image | segmentation | via edge contour finding: a graph theoretic approach |
| Image | segmentation | via Functionals Based on Boundary Functions |
| Image | segmentation | via fuzzy Connectedness Computation and Edge Detection in Medical application |
| Image | segmentation | via image decomposition and fuzzy region competition |
| Image | segmentation | Via Iterative Histogram Thresholding and Morphological Features Analysis |
| Image | segmentation | via local higher order statistics |
| Image | segmentation | via multi-scale stochastic regional texture appearance models |
| Image | segmentation | Via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications |
| Image | segmentation | via Multiresolution Diffused Expectation-Maximisation |
| Image | segmentation | via Probabilistic Graph Matching |
| Image | segmentation | via self-organising fusion |
| Image | segmentation | via Weighted Carving Decompositions |
| Image | segmentation | with a bounding box prior |
| Image | segmentation | with a p-Laplace Equation Model |
| Image | segmentation | with a parametric deformable model using shape and appearance priors |
| Image | segmentation | With A Propagator Markov Mesh Model |
| Image | segmentation | with a Shape Prior Based on Simplified Skeleton |
| Image | segmentation | with a Statistical Appearance Model and a Generic Mumford-Shah Inspired Outside Model |
| Image | segmentation | with a Unified Graphical Model |
| Image | segmentation | with Adaptive Spatial Priors from Joint Registration |
| Image | segmentation | with arbitrary noise models by solving minimal surface problems |
| Image | segmentation | with Automatically Balanced Constraints |
| Image | segmentation | With Cage Active Contours |
| Image | segmentation | with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks |
| Image | segmentation | With Complementary Use Of Edge And Region Information |
| Image | segmentation | with Context |
| Image | segmentation | with Depth Information via Simplified Variational Level Set Formulation |
| Image | segmentation | with Directed Trees |
| Image | segmentation | With Eigenfunctions of an Anisotropic Diffusion Operator |
| Image | segmentation | with Elastic Shape Priors via Global Geodesics in Product Spaces |
| Image | segmentation | with Fast Wavelet-Based Color Segmenting and Directional Region Growing |
| Image | segmentation | with hierarchical topic assignment |
| Image | segmentation | with Minimum Mean Cut |
| Image | segmentation | with one shape prior: A template-based formulation |
| Image | segmentation | with Partial Convexity Shape Prior Using Discrete Conformality Structures |
| Image | segmentation | with ratio cut |
| Image | segmentation | with Simplified PCNN |
| Image | segmentation | with simultaneous illumination and reflectance estimation: An energy minimization approach |
| Image | segmentation | with the competitive learning based MS model |
| Image | segmentation | with the SolNN Unsupervised Logic Neural-Network |
| Image | segmentation | with Topic Random Field |
| Image | segmentation | with Topological Maps and Inter-Pixel Representation |
| Image | segmentation | -based Unsupervised Multiple Objects Discovery |
| Image | segmentation | : A Comment on Studies in Global and Local Histogram-Guided Relaxation Algorithms |
| Image | segmentation | : Generic Modeling, Detection, and Estimation of Discontinuities in Image Surfaces |
| Image semantic | segmentation | based on FCN-CRF model |
| Image Semantic | segmentation | With Edge and Feature Level Attenuators |
| Image sequence analysis and | segmentation | using G-blobs |
| Image Sequence Interpolation Based on Optical Flow, | segmentation | , and Optimal Control |
| Image Sequence Processing Using Spatiotemporal | segmentation | |
| Image Sequence Restoration: A PDE-Based Coupled Method for Image Restoration and Motion | segmentation | |
| Image Sequence | segmentation | Based on 2D Temporal Entropic Thresholding |
| Image sequence | segmentation | using 3-D structure tensor and curve evolution |
| Image Sequence | segmentation | Using Motion Coherence |
| Image Smoothing and | segmentation | by Cost Minimization |
| Image Smoothing and | segmentation | by Graph Regularization |
| Image Smoothing and | segmentation | by Multiresolution Pixel Linking: Further Experiments and Extensions |
| Image Structure Representation and Processing: A Discussion of Some | segmentation | Methods in Cytology |
| Image super- | segmentation | : Segmentation with multiple labels from shuffled observations |
| Image super- | segmentation | : Segmentation with multiple labels from shuffled observations |
| Image Synthesis and Modified BlendMask Instance | segmentation | for Automated Nanoparticle Phenotyping |
| Image Texture Analysis and | segmentation | |
| Image Understanding With Reinforcement Learning: Auto-Tuning Image Attributes and Model Parameters for Object Detection and | segmentation | |
| Image Understands Point Cloud: Weakly Supervised 3D Semantic | segmentation | via Association Learning |
| Image-Based Modeling by Joint | segmentation | |
| Image-based Place Recognition Using Semantic | segmentation | and Inpainting to Remove Dynamic Objects |
| Image-Driven Data Mining for Image Content | segmentation | , Classification, and Attribution |
| Image-driven unsupervised 3D model co- | segmentation | |
| Image-guided depth map upsampling using normalized cuts-based | segmentation | and smoothness priors |
| Image-Level Supervised Instance | segmentation | Using Instance-Wise Boundary |
| Image- | segmentation | Evaluation From the Perspective of Salient Object Extraction |
| Image-to-Images Translation for Multi-Task Organ | segmentation | and Bone Suppression in Chest X-Ray Radiography |
| Image-to-MIDI mapping based on dynamic fuzzy color | segmentation | for visually impaired people |
| Image-to-voxel Model Translation for 3d Scene Reconstruction and | segmentation | |
| ImageNet Auto-Annotation with | segmentation | Propagation |
| Images as Occlusions of Textures: A Framework for | segmentation | |
| Imbalance knowledge-driven multi-modal network for land-cover semantic | segmentation | using aerial images and LiDAR point clouds |
| ImDeeplabV3plus with instance selective whitening loss in domain generalization semantic | segmentation | |
| IMP: Instance Mask Projection for High Accuracy Semantic | segmentation | of Things |
| Impact of ( | segmentation | ) quality on long vs. short-timespan assessments in iris recognition performance |
| Impact of Enhancement for Coronary Artery | segmentation | Based on Deep Learning Neural Network |
| Impact of Pan-Sharpening and Spectral Resolution on Vineyard | segmentation | through Machine Learning, The |
| Impact of Pseudo Depth on Open World Object | segmentation | with Minimal User Guidance |
| Impact of the Number of Atlases in a Level Set Formulation of Multi-atlas | segmentation | |
| Impact of Unfocused Vickers Indentation Images on the | segmentation | Performance, The |
| Impacts of Quality-Oriented Dataset Labeling on Tree Cover | segmentation | Using U-Net: A Case Study in WorldView-3 Imagery, The |
| Implementation of a Real-time Foreground/Background | segmentation | System on the Intel Architecture |
| Implementation of Advanced Foreground | segmentation | Algorithms GMM, ViBE and PBAS in FPGA and GPU: A Comparison |
| Implementation of Bilayer | segmentation | of Live Video |
| Implementation of Gestalt principles for object | segmentation | |
| Implications of a | segmentation | -Based Motion Compensation Scheme for the Case of a Block Transform Encoder |
| Implications of Acoustic Variation for the | segmentation | of the Czech Trill r |
| Implicit Background Estimation For Semantic | segmentation | |
| Implicit color | segmentation | features for pedestrian and object detection |
| Implicit kernel sparse shape representation: a sparse-neighbors-based objection | segmentation | framework |
| Implicit Motion-Compensated Network for Unsupervised Video Object | segmentation | |
| Implicit Scene Context for Object | segmentation | and Classification |
| Implicit Shape Model for Combined Object Categorization and | segmentation | , An |
| Implicit Surface | segmentation | by Minimal Paths, Applications in 3D Medical Images |
| Importance-Aware Semantic | segmentation | for Autonomous Vehicles |
| Improve CAM with Auto-Adapted | segmentation | and Co-Supervised Augmentation |
| Improved 2-D Maximum Entropy Threshold | segmentation | Method Based on PSO, An |
| improved 3D shape visibility graph with application to mesh | segmentation | , An |
| Improved Accuracy and Robustness of a Corneal Endothelial Cell | segmentation | Method Based on Merging Superpixels |
| Improved Active Contours Model Based on Morphology for Image | segmentation | , An |
| Improved Adaptive Spatial Information Clustering for Image | segmentation | |
| improved algorithm for interactive medical image | segmentation | based on Intelligent scissors, An |
| Improved Anchor-Free Instance | segmentation | for Building Extraction from High-Resolution Remote Sensing Images |
| improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI | segmentation | , An |
| Improved BET Method for Brain | segmentation | , An |
| Improved BlendMask: Nuclei instance | segmentation | for medical microscopy images |
| Improved Block-based Image | segmentation | |
| Improved Clustering-Based Approach for DNA Microarray Image | segmentation | , An |
| Improved color and intensity patch | segmentation | for human full-body and body-parts detection and tracking |
| Improved colour-to-grey method using image | segmentation | and colour difference model for colour vision deficiency |
| Improved compound image | segmentation | using automatic pixel block classification with SVM |
| Improved Data Structures for Fast Region Merging | segmentation | Using a Mumford-Shah Energy Functional |
| Improved Fade and Dissolve Detection for Reliable Video | segmentation | |
| Improved fast mean shift algorithm for remote sensing image | segmentation | |
| improved fast watershed algorithm for image | segmentation | , An |
| Improved Fingerprint Image | segmentation | and Reconstruction of Low Quality Areas |
| Improved Fluid Vector Flow for Cavity | segmentation | in Chest Radiographs, An |
| Improved Fractal Geometry Based Texture | segmentation | Technique |
| improved framework for polyp image | segmentation | based on SegNet architecture, An |
| improved fuzzy clustering approach for image | segmentation | , An |
| Improved fuzzy entropy clustering algorithm for MRI brain image | segmentation | |
| Improved Fuzzy Region Competition-Based Framework for the Multiphase | segmentation | of SAR Images, An |
| Improved Fuzzy-Logic | segmentation | of Sea-Ice, Clouds, and Ocean in Remotely-Sensed Arctic Imagery, An |
| Improved GrabCut | segmentation | via GMM Optimisation |
| Improved graph cut | segmentation | by learning a contrast model on the fly |
| Improved hierarchical conditional random field model for object | segmentation | |
| Improved HSI Color Space for Color Image | segmentation | |
| Improved Hybrid | segmentation | Method for Remote Sensing Images, An |
| Improved Image Boundaries for Better Video | segmentation | |
| Improved image deblurring based on salient-region | segmentation | |
| improved image graph for semi-automatic | segmentation | , An |
| improved image | segmentation | algorithm for salient object detection, An |
| Improved image | segmentation | algorithms for detecting types of acute lymphatic leukaemia |
| improved image | segmentation | model of FCN based on residual network, An |
| Improved Image | segmentation | using Photonic Mixer Devices |
| Improved Joint Optimization of Multiple Level Set Functions for the | segmentation | of Overlapping Cervical Cells, An |
| improved Kernel-based Fuzzy C-means Algorithm with spatial information for brain MR image | segmentation | , An |
| improved label fusion approach with sparse patch-based representation for MRI brain image | segmentation | , An |
| Improved level set model based on bias information with application to color image | segmentation | and correction |
| improved linked pyramid for texture | segmentation | using the fractal Brownian model, An |
| improved local descriptor and threshold learning for unsupervised dynamic texture | segmentation | , An |
| Improved marker-controlled watershed | segmentation | with local boundary priors |
| Improved Mask R-CNN for Instance | segmentation | of Tree Crowns in Aerial Imagery, An |
| improved method for thyroid nodule ultrasound image | segmentation | based on U2-Net, An |
| Improved Model for | segmentation | and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks, An |
| improved model of snakes for model-based | segmentation | , An |
| Improved motion | segmentation | based on shadow detection |
| Improved motion | segmentation | using Locally sampled Subspaces |
| Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image | segmentation | , An |
| Improved multi-scale line detection method for retinal blood vessel | segmentation | |
| Improved neural network classification of hyperspectral imagery using weighted genetic algorithm and hierarchical | segmentation | |
| Improved Noise and Attack Robustness for Semantic | segmentation | by Using Multi-Task Training with Self-Supervised Depth Estimation |
| Improved number plate character | segmentation | algorithm and its efficient FPGA implementation |
| Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based | segmentation | |
| Improved random walker algorithm for image | segmentation | |
| Improved range image | segmentation | by analyzing surface fit patterns |
| Improved RANSAC for 3D Point Cloud Plane | segmentation | Based on Normal Distribution Transformation Cells, An |
| Improved Real-Time Monocular SLAM Using Semantic | segmentation | on Selective Frames |
| improved region-based model with local statistical features for image | segmentation | , An |
| Improved Road Connectivity by Joint Learning of Orientation and | segmentation | |
| Improved SAR Image Semantic | segmentation | Deeplabv3+ Network Based on the Feature Post-Processing Module, An |
| Improved | segmentation | and Coding Algorithm for Binary and Nonbinary Images, An |
| Improved | segmentation | Method for Automatic Mapping of Cone Karst from Remote Sensing Data Based on DeepLab V3+ Model, An |
| Improved | segmentation | Method for Non-melanoma Skin Lesions Using Active Contour Model, An |
| Improved | segmentation | of overlapping red blood cells on malaria blood smear images with TransUNet architecture |
| Improved | segmentation | of semiconductor defects using area sieves |
| Improved | segmentation | through dynamic time warping for signature verification using a neural network classifier |
| Improved single image dehazing using | segmentation | |
| Improved Single Image Haze Removal Algorithm Using Image | segmentation | , An |
| Improved Superpixel-Based Fast Fuzzy C-Means Clustering for Image | segmentation | |
| Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance | segmentation | , An |
| Improved techniques for automatic image | segmentation | |
| Improved textured images | segmentation | using an energy functional |
| improved tongue image | segmentation | algorithm based on Deeplabv3+ framework, An |
| Improved Topological Preservation in 3D Axon | segmentation | and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS) |
| Improved UNet Model for Foot Ulcer Image | segmentation | , An |
| Improved Video | segmentation | by Adaptive Combination of Depth Keying and Mixture-of-Gaussians |
| Improved watershed | segmentation | using water diffusion and local shape priors |
| Improved watershed transform for medical image | segmentation | using prior information |
| Improved wavelet-based microscope autofocusing for blood smears by using | segmentation | |
| Improvement And Extension Of Shape Evaluation Criteria In Multi-scale Image | segmentation | |
| Improvement in range | segmentation | parameters tuning |
| improvement of EMD embedding method for large payloads by pixel | segmentation | strategy, An |
| Improvement of Image | segmentation | Model for Handwritten Notebook Analytics |
| Improvement of Japanese Signature Verification by Combined | segmentation | Verification Approach |
| Improvement of Japanese Signature Verification by | segmentation | -Verification |
| Improvement of Kruse's | segmentation | Algorithm, An |
| Improvement of Region-Merging Image | segmentation | Accuracy Using Multiple Merging Criteria |
| Improvement of vessel | segmentation | by elastically compensated patient motion in digital subtraction angiography images |
| Improvement on GrabCut with CLAHE for the | segmentation | of the Objects with Ambiguous Boundaries, An |
| Improvements on Automatic Speech | segmentation | at the Phonetic Level |
| Improvements on the Superpixel Hierarchy Algorithm with Applications to Image | segmentation | and Saliency Detection |
| Improvements to Image Reconstruction-Based Performance Prediction for Semantic | segmentation | in Highly Automated Driving |
| Improving 3D Brain Tumor | segmentation | With Predict-Refine Mechanism Using Saliency And Feature Maps |
| Improving a Genetic Algorithm | segmentation | by Means of a Fast Edge Detection Technique |
| Improving Action | segmentation | via Graph-Based Temporal Reasoning |
| Improving active contours for | segmentation | and tracking of motile cells in videomicroscopy |
| Improving Anatomical Plausibility in Medical Image | segmentation | via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis |
| Improving Atlas-Based Medical Image | segmentation | with a Relaxed Object Search |
| Improving Background Subtraction Based on a Casuistry of Colour-Motion | segmentation | Problems |
| Improving Brain Tumor | segmentation | with Dilated Pseudo-3d Convolution and Multi-direction Fusion |
| Improving Building Change Detection in VHR Remote Sensing Imagery by Combining Coarse Location and Co- | segmentation | |
| Improving building rooftop | segmentation | accuracy through the optimization of UNet basic elements and image foreground-background balance |
| Improving Chamfer Template Matching Using Image | segmentation | |
| Improving colour iris | segmentation | using a model selection technique |
| Improving Data-Efficient Fossil | segmentation | via Model Editing |
| Improving Deep Learning Based Semantic | segmentation | with Multi View Outlier Correction |
| Improving Ecotope | segmentation | by Combining Topographic and Spectral Data |
| Improving Efficient Semantic | segmentation | Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle |
| Improving Face | segmentation | in Thermograms Using Image Signatures |
| Improving Facial Attribute Prediction Using Semantic | segmentation | |
| Improving Few-Shot Part | segmentation | Using Coarse Supervision |
| Improving foreground | segmentation | s with probabilistic superpixel Markov random fields |
| Improving Graph Representation for Point Cloud | segmentation | via Attentive Filtering |
| Improving Graph-Based Image | segmentation | Using Nonlinear Color Similarity Metrics |
| Improving histology images | segmentation | through spatial constraints and supervision |
| Improving HOG with Image | segmentation | : Application to Human Detection |
| Improving Hough Based Pedestrian Detection Accuracy by Using | segmentation | and Pose Subspaces |
| Improving hyperspectral image | segmentation | by applying inverse noise weighting and outlier removal for optimal scale selection |
| Improving image | segmentation | by gradient vector flow and mean shift |
| Improving image | segmentation | by using energy function based on mixture of Gaussian pre-processing |
| Improving Image | segmentation | for Boosting Image Annotation with Irregular Pyramids |
| Improving image | segmentation | quality through effective region merging using a hierarchical social metaheuristic |
| Improving Image | segmentation | using Multiple View Analysis |
| Improving Image | segmentation | with Boundary Patch Refinement |
| Improving image | segmentation | with contextual and structural similarity |
| Improving label fusion in multi-atlas based | segmentation | by locally combining atlas selection and performance estimation |
| Improving Lesion | segmentation | for Diabetic Retinopathy Using Adversarial Learning |
| Improving Level Set Method for Fast Auroral Oval | segmentation | |
| Improving lung region | segmentation | accuracy in chest X-ray images using a two-model deep learning ensemble approach |
| Improving Model Adaptation for Semantic | segmentation | by Learning Model-Invariant Features with Multiple Source-Domain Models |
| Improving Multiple Sclerosis Lesion Boundaries | segmentation | by Convolutional Neural Networks with Focal Learning |
| Improving Nighttime Driving-Scene | segmentation | via Dual Image-Adaptive Learnable Filters |
| Improving Online Performance Prediction for Semantic | segmentation | |
| Improving Panoptic | segmentation | at All Scales |
| Improving Particle | segmentation | from Process Images with Wiener Filtering |
| Improving point cloud classification and | segmentation | via parametric veronese mapping |
| Improving Point Cloud Semantic | segmentation | by Learning 3D Object Detection |
| Improving public data for building | segmentation | from Convolutional Neural Networks (CNNs) for fused airborne lidar and image data using active contours |
| Improving RANSAC-Based | segmentation | through CNN Encapsulation |
| Improving Rare Classes on nuScenes LiDAR | segmentation | Through Targeted Domain Adaptation |
| Improving retinal vessel | segmentation | with joint local loss by matting |
| Improving Road Surface Area Extraction via Semantic | segmentation | with Conditional Generative Learning for Deep Inpainting Operations |
| Improving Robustness of Deep Learning Based Knee MRI | segmentation | : Mixup and Adversarial Domain Adaptation |
| Improving Robustness of Semantic | segmentation | to Motion-Blur Using Class-Centric Augmentation |
| Improving Scene Text Detection by Scale-Adaptive | segmentation | and Weighted CRF Verification |
| Improving | segmentation | Boundaries with Nonparametric Image Parsing |
| Improving | segmentation | Maps using Polarization Imaging |
| Improving | segmentation | of Breast Arterial Calcifications from Digital Mammography: Good Annotation is All You Need |
| Improving | segmentation | of the Inferior Alveolar Nerve through Deep Label Propagation |
| Improving | segmentation | results by studying surface continuity |
| Improving Semantic | segmentation | of Roof Segments Using Large-Scale Datasets Derived from 3D City Models and High-Resolution Aerial Imagery |
| Improving Semantic | segmentation | via Decoupled Body and Edge Supervision |
| Improving Semantic | segmentation | via Efficient Self-Training |
| Improving Semantic | segmentation | via Video Propagation and Label Relaxation |
| Improving Semantic | segmentation | with Generalized Models of Local Context |
| Improving semantic | segmentation | with knowledge reasoning network |
| Improving Semi-Supervised and Domain-Adaptive Semantic | segmentation | with Self-Supervised Depth Estimation |
| Improving spatial codification in semantic | segmentation | |
| Improving Spatial Support for Objects via Multiple | segmentation | s |
| Improving streaming video | segmentation | with early and mid-level visual processing |
| Improving superpixel-based image | segmentation | by incorporating color covariance matrix manifolds |
| Improving the Accuracy of Volumetric | segmentation | Using Pre-Processing Boundary Detection and Image Reconstruction |
| Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image | segmentation | |
| Improving the discrimination between foreground and background for semantic | segmentation | |
| Improving the Performance of Hierarchical Vector Quantization Using | segmentation | |
| Improving the Quality of Color Image | segmentation | Using Genetic Algorithm |
| Improving the Robustness of Cell Nucleus | segmentation | |
| Improving the unsupervised LBG clustering algorithm performance in image | segmentation | using principal component analysis |
| Improving the use of contours and skeletons for off-line cursive script | segmentation | |
| Improving the use of contours for off-line Cursive Script | segmentation | |
| Improving Three-Dimensional Building | segmentation | on Three-Dimensional City Models through Simulated Data and Contextual Analysis for Building Extraction |
| Improving Unsupervised Object-Based Change Detection via Hierarchical Multi-Scale Binary Partition Tree | segmentation | : A Case Study in the Yellow River Source Region |
| Improving User Control with Minimum Involvement in User-Guided | segmentation | by Image Foresting Transform |
| Improving Video Instance | segmentation | via Temporal Pyramid Routing |
| Improvised eigenvector selection for spectral Clustering in image | segmentation | |
| In Defense of Online Models for Video Instance | segmentation | |
| In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic | segmentation | of Road-Driving Images |
| In Situ Image | segmentation | Using the Convexity of Illumination Distribution of the Light Sources |
| In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-region | segmentation | |
| In vivo precision of digital topological skeletonization based individual trabecula | segmentation | (ITS) analysis of trabecular microstructure at the distal radius and tibia by HR-pQCT |
| In-Field Phenotyping Based on Crop Leaf and Plant Instance | segmentation | |
| In-Time 3D Reconstruction and Instance | segmentation | from Monocular Sensor Data |
| Inception Donut Convolution for Top-down Semantic | segmentation | |
| Including the Size of Regions in Image | segmentation | by Region-Based Graph |
| Inconsistency Detection in Cross-Layer Tile Maps with Super-Pixel | segmentation | |
| Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image | segmentation | |
| Incorporating Adaptive Local Information Into Fuzzy Clustering for Image | segmentation | |
| Incorporating complex statistical information in active contour-based image | segmentation | |
| Incorporating conditional independence assumption with support vector machines to enhance handwritten character | segmentation | performance |
| Incorporating Depth Information into Few-Shot Semantic | segmentation | |
| Incorporating higher order models for occlusion resilient motion | segmentation | in streaming videos |
| Incorporating Luminance, Depth and Color Information by a Fusion-Based Network for Semantic | segmentation | |
| Incorporating multi-stage spatial visual cues and active localization offset for pancreas | segmentation | |
| Incorporating Network Built-in Priors in Weakly-Supervised Semantic | segmentation | |
| Incorporating Non-motion Cues into 3D Motion | segmentation | |
| Incorporating prior information in the fuzzy C-mean algorithm with application to brain tissues | segmentation | in MRI |
| Incorporating spatio-temporal mid-level features in a region | segmentation | algorithm for video sequences |
| Incorporating Spectral Unmixing in Satellite Imagery Semantic | segmentation | |
| Incorporating texture information into region-based unsupervised image | segmentation | using textural superpixels |
| Incorporation of derivative priors in adaptive Bayesian color image | segmentation | |
| Incorporation of Texture Information for Joint Spatio-Temporal Probabilistic Video Object | segmentation | |
| Increasing Object Recognition Rate using Reinforced | segmentation | |
| Increasing the Robustness of CNN-Based Human Body | segmentation | in Range Images by Modeling Sensor-Specific Artifacts |
| Increasing the Robustness of Deep Learning Models for Object | segmentation | : A Framework for Blending Automatically Annotated Real and Synthetic Data |
| Increasing the Robustness of Semantic | segmentation | Models with Painting-by-numbers |
| Incremental and Enhanced Scanline-Based | segmentation | Method for Surface Reconstruction of Sparse LiDAR Data |
| Incremental Arc | segmentation | Algorithm and Its Evaluation |
| Incremental Class Discovery for Semantic | segmentation | With RGBD Sensing |
| Incremental Few-Shot Instance | segmentation | |
| Incremental Learning in Semantic | segmentation | from Image Labels |
| Incremental Learning in the Energy Minimisation Framework for Interactive | segmentation | |
| Incremental Learning of the Model for Watershed-Based Image | segmentation | |
| Incremental Learning Techniques for Semantic | segmentation | |
| incremental method for accurate iris | segmentation | , An |
| Incremental Motion | segmentation | in Low Texture |
| Incremental Slow Feature Analysis with Indefinite Kernel for Online Temporal Video | segmentation | |
| Incremental Tensor Subspace Learning and Its Applications to Foreground | segmentation | and Tracking |
| Incrementer: Transformer for Class-Incremental Semantic | segmentation | with Knowledge Distillation Focusing on Old Class |
| Independent component analysis for texture | segmentation | |
| Independent component analysis | segmentation | algorithm |
| Independent Motion | segmentation | and Collision Prediction for Road Vehicles |
| Indexing Flowers by Color Names Using Domain Knowledge-Driven | segmentation | |
| Indirect Local Attacks for Context-aware Semantic | segmentation | Networks |
| Individual tooth | segmentation | from CT images using level set method with shape and intensity prior |
| Individual tooth | segmentation | in human teeth images using pseudo edge-region obtained by deep neural networks |
| individual tree crown delineation method based on multi-scale | segmentation | of imagery, An |
| Individual Tree Crown | segmentation | and Classification of 13 Tree Species Using Airborne Hyperspectral Data |
| Individual Tree Crown | segmentation | of a Larch Plantation Using Airborne Laser Scanning Data Based on Region Growing and Canopy Morphology Features |
| Individual Tree | segmentation | and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests |
| Individual Tree | segmentation | Based on Seed Points Detected by an Adaptive Crown Shaped Algorithm Using UAV-LiDAR Data |
| Individual Tree | segmentation | from LiDAR Point Clouds for Urban Forest Inventory |
| Individual Tree | segmentation | from Side-View LiDAR Point Clouds of Street Trees Using Shadow-Cut |
| Individual-Tree | segmentation | from UAV-LiDAR Data Using a Region-Growing Segmentation and Supervoxel-Weighted Fuzzy Clustering Approach |
| Individual-Tree | segmentation | from UAV-LiDAR Data Using a Region-Growing Segmentation and Supervoxel-Weighted Fuzzy Clustering Approach |
| Indoor 3D Point Cloud | segmentation | Based on Multi-Constraint Graph Clustering |
| Indoor 3d Point Clouds Semantic | segmentation | Bases on Modified Pointnet Network |
| Indoor Navigation by Using | segmentation | of Range Images Obtained by Laser Scanners |
| Indoor Point Cloud | segmentation | Using Iterative Gaussian Mapping and Improved Model Fitting |
| Indoor Scene Parsing with Instance | segmentation | , Semantic Labeling and Support Relationship Inference |
| Indoor scene | segmentation | using a structured light sensor |
| Indoor Scene Understanding with RGB-D Images: Bottom-up | segmentation | , Object Detection and Semantic Segmentation |
| Indoor Scene Understanding with RGB-D Images: Bottom-up | segmentation | , Object Detection and Semantic Segmentation |
| Indoor | segmentation | and Support Inference from RGBD Images |
| Indoor semantic | segmentation | based on Swin-Transformer |
| Indoor Space Model of Building Considering Multi-Type | segmentation | , An |
| Indoor/outdoor navigation system based on possibilistic traversable area | segmentation | for visually impaired people |
| Inducing Semantic | segmentation | from an Example |
| Inductive Clustering: Automating Low-level | segmentation | in High Resolution Images |
| Inductive Graph Neural Networks for Moving Object | segmentation | |
| Inexhaustive region | segmentation | by robust clustering |
| Inf-Net: Automatic COVID-19 Lung Infection | segmentation | From CT Images |
| Infant brain | segmentation | based on a combination of VGG-16 and U-Net deep neural networks |
| Inference With Collaborative Model for Interactive Tumor | segmentation | in Medical Image Sequences |
| Inferior alveolar canal | segmentation | in cone beam computed tomography images using an adaptive diffusion flow active contour model |
| Inferior alveolar nerve canal | segmentation | by local features based neural network model |
| Inferring the Class Conditional Response Map for Weakly Supervised Semantic | segmentation | |
| Infinite Adaptive Online Learning Model for | segmentation | and Classification of Streaming Data, An |
| Influence of image | segmentation | parameters on positional and spectral quality of the derived objects |
| Influence of | segmentation | over Feature Measurement |
| Influence of shape parameters on optimal scale selection in multi-resolution | segmentation | |
| Influence of Speech/Non-Speech | segmentation | on On-Line and Off-Line Speaker Segmentation Accuracy, The |
| Influence of Speech/Non-Speech | segmentation | on On-Line and Off-Line Speaker Segmentation Accuracy, The |
| Influence of text line | segmentation | in Handwritten Text Recognition |
| Influence of the Noise Model on Level Set Active Contour | segmentation | |
| Influence of Vegetation Characteristics on Individual Tree | segmentation | Methods with Airborne LiDAR Data, The |
| Information fusion for unsupervised image | segmentation | using stochastic watershed and Hessian matrix |
| Information Fusion in a Markov Random Field Based Image | segmentation | Approach Using Adaptive Neighbourhoods |
| Information integration for accurate foreground | segmentation | in complex scenes |
| information theoretic framework for image | segmentation | , An |
| Information Transfer in Semi-Supervised Semantic | segmentation | |
| Information-Based Cost Function for a Bayesian MRI | segmentation | Framework |
| Information-Geometric Approach to Real-Time Audio | segmentation | , An |
| Information-Theoretic Active Polygons for Unsupervised Texture | segmentation | |
| Information-Theoretic | segmentation | by Inpainting Error Maximization |
| Informative Data Mining for One-shot Cross-Domain Semantic | segmentation | |
| Infrared Dim and Small Target Detection Based on Superpixel | segmentation | and Spatiotemporal Cluster 4D Fully-Connected Tensor Network Decomposition |
| Infrared image | segmentation | with 2-D maximum entropy method based on particle swarm optimization (PSO) |
| Infrared Pedestrian | segmentation | Through Background Likelihood and Object-Biased Saliency |
| Infrared Ship Target | segmentation | Based on Spatial Information Improved FCM |
| Infrared ship target | segmentation | through integration of multiple feature maps |
| Infrared small target | segmentation | networks: A survey |
| Infrared target tracking, recognition and | segmentation | using shape-aware level set |
| Inherit With Distillation and Evolve With Contrast: Exploring Class Incremental Semantic | segmentation | Without Exemplar Memory |
| Inhomogeneity-embedded active contour for natural image | segmentation | |
| Initial Approach to | segmentation | and Analysis of Nerve Cells using Ridge Detection, An |
| Initial | segmentation | For Knowledge Indexing |
| Initial | segmentation | of a scene using the results of a classification based motion estimator |
| Initialisation-Free Active Contour | segmentation | |
| Initialization Techniques for | segmentation | with the Chan-Vese Model |
| Ink Marker | segmentation | in Histopathology Images Using Deep Learning |
| Inlier Estimation for Moving Camera Motion | segmentation | |
| Inner cell mass | segmentation | in human HMC embryo images using fully convolutional network |
| innovate approach for retinal blood vessel | segmentation | using mixture of supervised and unsupervised methods, An |
| Innovative 3D Adaptive Patient-Related Atlas for Automatic | segmentation | of Retina Layers from Oct Images, An |
| INS-Conv: Incremental Sparse Convolution for Online 3D | segmentation | |
| Insect Soup Challenge: | segmentation | , Counting, and Simple Classification |
| Insight | segmentation | and Registration Toolkit (ITK) |
| Insignificant Shadow Detection for Video | segmentation | |
| Instability Problem of Region Growing | segmentation | Algorithms and Its Set Median Solution, An |
| InstaBoost: Boosting Instance | segmentation | via Probability Map Guided Copy-Pasting |
| Instance and Panoptic | segmentation | Using Conditional Convolutions |
| Instance as Identity: A Generic Online Paradigm for Video Instance | segmentation | |
| Instance Embedding Transfer to Unsupervised Video Object | segmentation | |
| Instance GNN: A Learning Framework for Joint Symbol | segmentation | and Recognition in Online Handwritten Diagrams |
| Instance Motion Tendency Learning for Video Panoptic | segmentation | |
| Instance search via instance level | segmentation | and feature representation |
| Instance | segmentation | |
| Instance | segmentation | Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration, An |
| Instance | segmentation | Based Semantic Matting for Compositing Applications |
| Instance | segmentation | by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth |
| Instance | segmentation | by Learning Deep Feature in Embedding Space |
| Instance | segmentation | by Semi-Supervised Learning and Image Synthesis |
| Instance | segmentation | Enabled Hybrid Data Association and Discriminative Hashing for Online Multi-Object Tracking |
| Instance | segmentation | for Governmental Inspection of Small Touristic Infrastructure in Beach Zones Using Multispectral High-Resolution WorldView-3 Imagery |
| Instance | segmentation | for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach |
| Instance | segmentation | for the Quantification of Microplastic Fiber Images |
| Instance | segmentation | in 3D Scenes using Semantic Superpoint Tree Networks |
| Instance | segmentation | in CARLA: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes |
| Instance | segmentation | in fisheye images |
| Instance | segmentation | in the Dark |
| Instance | segmentation | in Very High Resolution Remote Sensing Imagery Based on Hard-to-Segment Instance Learning and Boundary Shape Analysis |
| Instance | segmentation | Method for Anthracnose Based on Swin Transformer and Path Aggregation, An |
| Instance | segmentation | Model Evaluation and Rapid Deployment for Autonomous Driving Using Domain Differences |
| Instance | segmentation | of Benthic Scale Worms at a Hydrothermal Site |
| Instance | segmentation | of Biological Images Using Harmonic Embeddings |
| Instance | segmentation | of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors |
| Instance | segmentation | of Herring and Salmon Schools in Acoustic Echograms using a Hybrid U-Net |
| Instance | segmentation | of Indoor Scenes Using a Coverage Loss |
| Instance | segmentation | of Neural Cells |
| Instance | segmentation | with BoundaryNet |
| Instance | segmentation | with Mask-supervised Polygonal Boundary Transformers |
| Instance | segmentation | , Point Cloud Segmentation |
| Instance | segmentation | , Point Cloud Segmentation |
| Instance | segmentation | -based Identification of Pelagic Species in Acoustic Backscatter Data |
| Instance-aware Embedding for Point Cloud Instance | segmentation | |
| Instance-Aware Semantic | segmentation | of Road Furniture in Mobile Laser Scanning Data |
| Instance-Aware Semantic | segmentation | via Multi-task Network Cascades |
| Instance-Level Salient Object | segmentation | |
| Instance-Level | segmentation | for Autonomous Driving with Deep Densely Connected MRFs |
| Instance-Level | segmentation | of Vehicles by Deep Contours |
| Instance-Level Video | segmentation | from Object Tracks |
| Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic | segmentation | |
| Instance-Specific Feature Propagation for Referring | segmentation | |
| Instant Domain Augmentation for LiDAR Semantic | segmentation | |
| Instant | segmentation | and feature extraction for recognition of simple objects on mobile phones |
| InstMove: Instance Motion for Object-centric Video | segmentation | |
| Integrated Active Contours for Texture | segmentation | |
| Integrated Algorithm for MRI Brain Images | segmentation | , An |
| Integrated APC-GAN and AttuNet Framework for Automated Pavement Crack Pixel-Level | segmentation | : A New Solution to Small Training Datasets |
| integrated approach for content-based video object | segmentation | and retrieval, An |
| integrated approach for Diabetic Retinopathy exudate | segmentation | by using Genetic Algorithm and Switching Median Filter, An |
| Integrated Approach for Range Image | segmentation | and Representation, An |
| integrated approach for | segmentation | and representation of range images, An |
| Integrated Approach for Surface and Volumetric | segmentation | of Range Images Using Biquadrics and Superquadrics |
| Integrated Approach to Stereo Matching, Surface Reconstruction and Depth | segmentation | Using Consistent Smoothness Assumptions, An |
| Integrated Approach to Texture | segmentation | Using Multiple Gabor Filters |
| Integrated Color and Texture Tools for Colposcopic Image | segmentation | |
| integrated feature frame work for automated | segmentation | of COVID-19 infection from lung CT images, An |
| Integrated Foreground | segmentation | and Boundary Matting for Live Videos |
| Integrated Framework for Image | segmentation | and Perceptual Grouping, An |
| Integrated framework for simultaneous | segmentation | and registration of carpal bones |
| Integrated Framework for Unsupervised Building | segmentation | with Segment Anything Model-Based Pseudo-Labeling and Weakly Supervised Learning |
| integrated graph-based face | segmentation | approach from Kinect videos, An |
| Integrated in Situ Image Acquisition and Annotation Scheme for Instance | segmentation | Models in Open Scenes With a Human-Robot Interaction Approach, An |
| Integrated Matching and | segmentation | of Multiple Features in Two Views |
| Integrated Method for Road Crack | segmentation | and Surface Feature Quantification under Complex Backgrounds, An |
| integrated method of adaptive enhancement for unsupervised | segmentation | of MRI brain images, An |
| Integrated Multimedia Processing for Topic | segmentation | and Classification |
| Integrated Octree-RANSAC Technique for Automated LiDAR Building Data | segmentation | for Decorative Buildings, An |
| integrated range-sensing, | segmentation | and registration framework for the characterization of intra-surgical brain deformations in image-guided surgery, An |
| Integrated Real-Time Motion | segmentation | and 3D Interpretation |
| Integrated | segmentation | and Classification Approach Applied to Multiple Sclerosis Analysis, An |
| Integrated | segmentation | and classification for automotive airbag suppression |
| Integrated | segmentation | and Clustering for Enhanced Compression of Document Images |
| Integrated | segmentation | and Depth Ordering of Motion Layers in Image Sequences |
| Integrated | segmentation | and Interpolation of Sparse Data |
| Integrated | segmentation | and motion analysis of cardiac MR images using a subject-specific dynamical model |
| Integrated | segmentation | and Recognition of Handwritten Numerals with Cascade Neural Network |
| Integrated | segmentation | and Recognition of Handwritten Numerals: Comparison of Classification Algorithms |
| Integrated | segmentation | and Recognition of Mixed Chinese/English Document |
| Integrated | segmentation | of brain tumor images for radiotherapy and neurosurgery |
| Integrated | segmentation | Technique for Interactive Image Retrieval, An |
| integrated ship | segmentation | method based on discriminator and extractor, An |
| Integrated Spatial and Frequency Domain 2D Motion | segmentation | and Estimation |
| Integrated Spatio-Temporal | segmentation | of Longitudinal Brain Tumor Imaging Studies |
| Integrating Appearance and Motion Cues for Simultaneous Detection and | segmentation | of Pedestrians |
| Integrating automatic and interactive brain tumor | segmentation | |
| Integrating Boundary Cue with Superpixel for Image | segmentation | |
| Integrating Boundary Information in Pairwise | segmentation | |
| Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and | segmentation | |
| Integrating Co-Occurrence and Spatial Contexts on Patch Based Scene | segmentation | |
| Integrating Color Sampling into Depth Based Bilayer | segmentation | |
| Integrating Edge and Surface Information for Range Image | segmentation | |
| Integrating Grammar and | segmentation | for Human Pose Estimation |
| Integrating Hierarchical | segmentation | Maps With MRF Prior for Classification of Hyperspectral Images in a Bayesian Framework |
| Integrating image | segmentation | and annotation using supervised PLSA |
| Integrating local classifiers through nonlinear dynamics on label graphs with an application to image | segmentation | |
| Integrating Low-level and Semantic Features for Object Consistent | segmentation | |
| Integrating machine learning with region-based active contour models in medical image | segmentation | |
| Integrating Non-Semantic Knowledge into Image | segmentation | Processes |
| Integrating prior knowledge into a bibranch pyramid network for medical image | segmentation | |
| Integrating region and edge information for texture | segmentation | using a modified constraint satisfaction neural network |
| Integrating region and edge information for the automatic | segmentation | of interventional magnetic resonance images of the shoulder complex |
| Integrating region growing and classification for | segmentation | and matting |
| Integrating | segmentation | Information for Improved MRF-Based Elastic Image Registration |
| Integrating | segmentation | with deep learning for enhanced classification of epithelial and stromal tissues in H&E images |
| Integrating Statistical Shape Models into a Graph Cut Framework for Tooth | segmentation | |
| Integrating support vector machine and graph cuts for medical image | segmentation | |
| Integrating texture features into a region-based multi-scale image | segmentation | algorithm |
| Integrating tracking with fine object | segmentation | |
| Integrating unsupervised and supervised clustering methods on a GPU platform for fast image | segmentation | |
| Integration of a part | segmentation | based vision system |
| Integration of audio and visual information for content-based video | segmentation | |
| Integration of Conditionally Dependent Object Features for Robust Figure/Background | segmentation | |
| integration of directional information and local region information for accurate image | segmentation | , The |
| Integration of Dynamic Multi-Atlas and Deep Learning Techniques to Improve | segmentation | of the Prostate in MR Images |
| Integration of feature distributions for colour texture | segmentation | |
| Integration of Frequency and Space for Multiple Motion Estimation and Shape-Independent Object | segmentation | |
| Integration of fuzzy spatial relations in deformable models: Application to brain MRI | segmentation | |
| Integration of Gibbs prior models and deformable models for 3D medical image | segmentation | |
| Integration of Image | segmentation | Maps Using Region and Edge Information, The |
| Integration of motion and image features for automatic video object | segmentation | |
| Integration of multiple contextual information for image | segmentation | using a Bayesian Network |
| Integration of multiresolution image | segmentation | and neural networks for object depth recovery |
| Integration of Region and Edge-Based | segmentation | , The |
| Integration of shape and a multihypotheses fisher color model for figure-ground | segmentation | in non-stationary environments |
| Integration Scheme for Image | segmentation | and Labeling Based on Markov Random-Field Model, An |
| Integrative Few-Shot Learning for Classification and | segmentation | |
| Intel's Computer Vision Library: applications in calibration, stereo | segmentation | , tracking, gesture, face and object recognition |
| Intellegent Scissors: Interactive tool for image | segmentation | |
| Intelligent and Interactive Video Annotation for Instance | segmentation | Using Siamese Neural Networks |
| Intelligent Detection and | segmentation | of Space-Borne SAR Radio Frequency Interference |
| Intelligent Labeling Based on Fisher Information for Medical Image | segmentation | Using Deep Learning |
| intelligent modified fuzzy c-means based algorithm for bias estimation and | segmentation | of brain MRI, An |
| Intelligent | segmentation | and Change Detection of Dams Based on UAV Remote Sensing Images |
| Intensity Axis of Symmetry and Its Application to Image | segmentation | , The |
| Intensity Inhomogeneity Suppressed Fuzzy C-Means for Infrared Pedestrian | segmentation | |
| Intensity Ridge and Widths for Tubular Object | segmentation | and Description |
| Intensity standardization simplifies brain MR image | segmentation | |
| Intensity-based | segmentation | of microarray images |
| intensity-gradient-texture guided methodology for spatial | segmentation | of remotely sensed multi/hyperspectral imagery, An |
| Intensity-Texture model based level set method for image | segmentation | , An |
| Inter-Region Affinity Distillation for Road Marking | segmentation | |
| Inter-Slice Context Residual Learning for 3D Medical Image | segmentation | |
| Interaction-free hand | segmentation | using kinect camera |
| Interactive 1-bit feedback | segmentation | using transductive inference |
| Interactive 3D | segmentation | of Lymphatic Valves in Confocal Microscopic Images |
| Interactive 3D | segmentation | s, Depth, Range, Stereo |
| Interactive Algorithm for Image Smoothing and | segmentation | , An |
| Interactive and intuitive | segmentation | of volumetric data: The segmentVIEW system and the Kooshball algorithm |
| Interactive Approach to Pose-Assisted and Appearance-based | segmentation | of Humans, An |
| interactive authoring system for video object | segmentation | and annotation, An |
| Interactive Cell | segmentation | Based on Active and Semi-Supervised Learning |
| Interactive Co- | segmentation | of Objects in Image Collections |
| Interactive color image | segmentation | editor driven by active contour model |
| Interactive color image | segmentation | with linear programming |
| Interactive CT image | segmentation | with online discriminative learning |
| Interactive Deep Annotation as DARos: Object Detection Supervision for Efficient Instance | segmentation | |
| Interactive Deformable Model | segmentation | Algorithm Driven by Morphological Dilations and Erosions Constrained by an Exclusion Band, An |
| Interactive Editing Framework for Electron Microscopy Image | segmentation | , An |
| Interactive Few-Shot Learning: Limited Supervision, Better Medical Image | segmentation | |
| Interactive Full Image | segmentation | by Considering All Regions Jointly |
| Interactive Graph Cut Based | segmentation | with Shape Priors |
| interactive graph cut method for brain tumor | segmentation | , An |
| Interactive graph cut | segmentation | of touching neuronal structures from electron micrographs |
| Interactive Graph Cuts for Optimal Boundary and Region | segmentation | of Objects in N-D Images |
| Interactive Hierarchical-Flow | segmentation | of Scar Tissue From Late-Enhancement Cardiac MR Images |
| Interactive Image | segmentation | Based on Hierarchical Graph-Cut Optimization with Generic Shape Prior |
| Interactive image | segmentation | based on object contour feature image |
| Interactive image | segmentation | based on samples reconstruction and FLDA |
| Interactive image | segmentation | based on synthetic graph coordinates |
| Interactive image | segmentation | based on the appearance model and orientation energy |
| Interactive image | segmentation | by matching attributed relational graphs |
| Interactive image | segmentation | by maximal similarity based region merging |
| Interactive Image | segmentation | Method Based on Dynamic Programming and its Application in Medical Image Analysis, An |
| Interactive Image | segmentation | Using Adaptive Constraint Propagation |
| Interactive Image | segmentation | Using an Adaptive GMMRF Model |
| Interactive Image | segmentation | Using Constrained Dominant Sets |
| Interactive Image | segmentation | Using Dirichlet Process Multiple-View Learning |
| Interactive image | segmentation | using geodesic appearance overlap graph cut |
| Interactive Image | segmentation | Using Level Sets and Dempster-Shafer Theory of Evidence |
| Interactive Image | segmentation | Using Machine Learning Techniques |
| Interactive image | segmentation | using probabilistic hypergraphs |
| Interactive Image | segmentation | Using Semi-transparent Wearable Glasses |
| Interactive Image | segmentation | via Adaptive Weighted Distances |
| Interactive Image | segmentation | via Backpropagating Refinement Scheme |
| Interactive image | segmentation | via cascaded metric learning |
| Interactive Image | segmentation | via Graph Clustering and Synthetic Coordinates Modeling |
| Interactive image | segmentation | via kernel propagation |
| Interactive image | segmentation | via minimization of quadratic energies on directed graphs |
| Interactive image | segmentation | via multi-cue dynamic integration |
| Interactive Image | segmentation | with Cross-Modality Vision Transformers |
| Interactive Image | segmentation | With First Click Attention |
| Interactive Image | segmentation | with Latent Diversity |
| Interactive Image | segmentation | With Multiple Linear Reconstructions in Windows |
| Interactive Image | segmentation | with Transformers |
| interactive instance | segmentation | system with multi-resolution convolutional neural networks, An |
| Interactive Labeling of Image | segmentation | Hierarchies |
| Interactive Learning of Intrinsic and Extrinsic Properties for All-Day Semantic | segmentation | |
| Interactive Left Ventricular | segmentation | in Cardiac Images |
| Interactive Lesion | segmentation | with Shape Priors From Offline and Online Learning |
| Interactive Medical Image | segmentation | Using Deep Learning With Image-Specific Fine Tuning |
| Interactive Medical Image | segmentation | Using PDE Control of Active Contours |
| Interactive Medical Image | segmentation | s |
| Interactive Motion | segmentation | |
| Interactive Motion | segmentation | |
| Interactive Multi-label | segmentation | |
| Interactive Multi-label | segmentation | of RGB-D Images |
| Interactive Multilabel Image | segmentation | via Robust Multilayer Graph Constraints |
| Interactive Natural Image | segmentation | via Spline Regression |
| Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic | segmentation | |
| Interactive object | segmentation | for mono and stereo applications: Geodesic prior induced graph cut energy minimization |
| Interactive object | segmentation | from multi-view images |
| Interactive object | segmentation | in two phases |
| Interactive Object | segmentation | System for MPEG Video, An |
| Interactive object | segmentation | using iterative adjustable graph cut |
| Interactive object | segmentation | using single touch |
| Interactive Object | segmentation | With Dynamic Click Transform |
| Interactive Object | segmentation | With Inside-Outside Guidance |
| Interactive Point-and-Click | segmentation | for Object Removal in Digital Images |
| Interactive Prostate | segmentation | Based on Adaptive Feature Selection and Manifold Regularization |
| Interactive region | segmentation | for manga |
| Interactive Region | segmentation | s, Snakes, User-Assisted Segmentation |
| Interactive Region | segmentation | s, Snakes, User-Assisted Segmentation |
| Interactive | segmentation | and Boundary Surface Formation for 3-D Digital Images |
| Interactive | segmentation | and Visualization for Tiny Objects in Multi-megapixel Images |
| Interactive | segmentation | and Visualization of DTI Data Using a Hierarchical Watershed Representation |
| Interactive | segmentation | as Gaussian Process Classification |
| Interactive | segmentation | Based on Component-trees |
| Interactive | segmentation | based on component-trees |
| Interactive | segmentation | for Diverse Gesture Types Without Context |
| Interactive | segmentation | from 1-Bit Feedback |
| Interactive | segmentation | of 3D Images Using a Region Adjacency Graph Representation |
| Interactive | segmentation | of 3D ultrasound using deformable solid models and active contours |
| Interactive | segmentation | of Biomedical Images and Volumes Using Connected Operators |
| Interactive | segmentation | of Glioblastoma for Post-surgical Treatment Follow-up |
| Interactive | segmentation | of High-Resolution Video Content Using Temporally Coherent Superpixels and Graph Cut |
| Interactive | segmentation | of Media-Adventitia Border in IVUS |
| Interactive | segmentation | of medical images using belief propagation with level sets |
| Interactive | segmentation | of multi-dimensional medical data with contour-based application of genetic algorithms |
| Interactive | segmentation | of non-star-shaped contours by dynamic programming |
| Interactive | segmentation | of Radiance Fields |
| Interactive | segmentation | of the Cerebral Lobes With Fuzzy Inference in 3T MR Images |
| Interactive | segmentation | on RGBD Images via Cue Selection |
| Interactive | segmentation | Techniques: Algorithms and Performance Evaluation |
| Interactive | segmentation | Using Constrained Laplacian Optimization |
| Interactive | segmentation | using curve evolution and relevance feedback |
| Interactive | segmentation | with Incremental Watershed Cuts |
| Interactive | segmentation | with Intelligent Scissors |
| Interactive | segmentation | with Super-Labels |
| Interactive Stereo Image | segmentation | With RGB-D Hybrid Constraints |
| Interactive Texture | segmentation | using Random Forests and Total Variation |
| Interactive texture | segmentation | via IT-SNAPS |
| Interactive Video Object | segmentation | Using Global and Local Transfer Modules |
| Interactive video | segmentation | supported by multiple modalities, with an application to depth maps |
| Interactive video | segmentation | using occlusion boundaries and temporally coherent superpixels |
| Interactive Video | segmentation | via Local Appearance Model |
| Interactive Visualization and Representation Analysis Applied to Glacier | segmentation | |
| Interactive Volume | segmentation | With Differential Image Foresting Transforms |
| Interactive-Automatic | segmentation | and Modelling of the Mitral Valve |
| Interactively multiphase image | segmentation | based on variational formulation and graph cuts |
| Interclass Prototype Relation for Few-Shot | segmentation | |
| InterFormer Real-time Interactive Image | segmentation | |
| Interior point search for nonparametric image | segmentation | |
| Interleaved Object Categorization and | segmentation | |
| Interleaving Object Categorization and | segmentation | |
| Interpolation and extrapolation of image partitions using Fourier descriptors: application to | segmentation | -based coding schemes |
| Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and | segmentation | |
| Interpretable and Effective Learning for 3D Point Cloud Registration, Classification and | segmentation | |
| Interpretable Deep Learning-Based Forensic Iris | segmentation | and Recognition |
| Interpreting Aerial Photographs by | segmentation | and Search |
| Intersection Recognition Using Results of Semantic | segmentation | for Visual Navigation |
| Interseismic Coupling beneath the Sikkim-Bhutan Himalaya Constrained by GPS Measurements and Its Implication for Strain | segmentation | and Seismic Activity |
| Interval Type-2 Fuzzy Based Neural Network For High Resolution Remote Sensing Image | segmentation | |
| Intestinal event | segmentation | for endoluminal video analysis |
| Intra- and Inter-Pair Consistency for Semi-Supervised Gland | segmentation | |
| Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid | segmentation | |
| Intra-Batch Supervision for Panoptic | segmentation | on High-Resolution Images |
| Intra-class Feature Variation Distillation for Semantic | segmentation | |
| Intra-Retinal Layer | segmentation | of Optical Coherence Tomography Using 3D Fully Convolutional Networks |
| Intraretinal Layer | segmentation | of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search |
| Intrathoracic airway trees: | segmentation | and airway morphology analysis from low-dose CT scans |
| Intravascular optical coherence tomography image | segmentation | based on Gaussian mixture model and adaptive fourth-order PDE |
| Intravascular Ultrasound image | segmentation | : A helical active contour method |
| Intravascular Ultrasound Image | segmentation | : A Three-Dimensional Fast-Marching Method Based on Gray Level Distributions |
| Introducing Curvature into Globally Optimal Image | segmentation | : Minimum Ratio Cycles on Product Graphs |
| Introducing Geometry in Active Learning for Image | segmentation | |
| Introduction to the Special Issue on the | segmentation | of Visible Wavelength Iris Images Captured At-a-distance and On-the-move |
| Introspective semantic | segmentation | |
| Intuitionistic fuzzy roughness measure for | segmentation | of brain MR images |
| Intuitionistic fuzzy set and fuzzy mathematical morphology applied to color leukocytes | segmentation | |
| Invariant extraction and | segmentation | of 3D objects using linear Lie algebra model |
| Invariant Information Clustering for Unsupervised Image Classification and | segmentation | |
| Invariant Recognition and | segmentation | of 3D Object Using Lie Algebra Models |
| Invariant Surface | segmentation | through Energy Minimization with Discontinuities |
| Invariant texture | segmentation | via circular gabor filters |
| Invariant texture | segmentation | with reduced illumination sensitivity |
| Inverse Histogram-Based Clustering Approach to Seafloor | segmentation | from Bathymetric Lidar Data |
| Inverse Node Graph-Based Method for the Urban Scene | segmentation | of 3D Point Clouds, An |
| InverseForm: A Loss Function for Structured Boundary-Aware | segmentation | |
| Investigating CoordConv for Fully and Weakly Supervised Medical Image | segmentation | |
| Investigating Prior-Level Fusion Approaches for Enriched Semantic | segmentation | of Urban LiDAR Point Clouds |
| Investigating The Usability of UAV Obtained Multispectral Imagery In Tree Species | segmentation | |
| Investigation of adaptive local threshold | segmentation | in context of 3D-handwriting forensics |
| Investigation of Methodologies for the | segmentation | of Squamous Epithelium from Cervical Histological Virtual Slides |
| Investigation of parallel and globally convergent iterative schemes for nonlinear variational image smoothing and | segmentation | |
| Investigation of Pointnet for Semantic | segmentation | of Large-scale Outdoor Point Clouds |
| Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric | segmentation | |
| investigation on MPEG audio | segmentation | by evolutionary algorithms, An |
| Investigation on the Weighted RANSAC Approaches for Building Roof Plane | segmentation | from LiDAR Point Clouds |
| Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action | segmentation | |
| IOP-FL: Inside-Outside Personalization for Federated Medical Image | segmentation | |
| IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic | segmentation | |
| Ir-UNet: Irregular | segmentation | U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery |
| IRDCLNet: Instance | segmentation | of Ship Images Based on Interference Reduction and Dynamic Contour Learning in Foggy Scenes |
| IRGS: Image | segmentation | Using Edge Penalties and Region Growing |
| Iris and periocular biometrics for head mounted displays: | segmentation | , recognition, and synthetic data generation |
| Iris Biometrics: From | segmentation | to Template Security |
| Iris Detection, | segmentation | and Localization Systems |
| Iris image | segmentation | and sub-optimal images |
| Iris R-CNN: Accurate iris | segmentation | and localization in non-cooperative environment with visible illumination |
| Iris recognition: Analysis of the error rates regarding the accuracy of the | segmentation | stage |
| Iris Recognition: On the | segmentation | of Degraded Images Acquired in the Visible Wavelength |
| Iris | segmentation | for non-cooperative recognition systems |
| Iris | segmentation | in non-ideal images using graph cuts |
| Iris | segmentation | methodology for non-cooperative recognition |
| Iris | segmentation | System Based on Approximate Feature Detection with Subsequent Refinements |
| Iris | segmentation | using game theory |
| Iris | segmentation | Using Geodesic Active Contours and GrabCut |
| IRIS | segmentation | : Detecting Pupil, Limbus and Eyelids |
| Irregular MRF Region Label Model for Multichannel Image | segmentation | , An |
| Irregular Pyramid | segmentation | s with Stochastic Graph Decimation Strategies |
| Irregular Tessellation and Statistical Modeling Based Regionalized | segmentation | for SAR Intensity Image |
| IRS Image | segmentation | : Minimum Distance Classifier Approach |
| Is (N)PRI suitable for evaluating automated | segmentation | of cutaneous lesions? |
| Is Context-Aware CNN Ready for the Surroundings? Panoramic Semantic | segmentation | in the Wild |
| Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic | segmentation | ? |
| ISAR: A Benchmark for Single- and Few-Shot Object Instance | segmentation | and Re-Identification |
| ISBNet: a 3D Point Cloud Instance | segmentation | Network with Instance-aware Sampling and Box-aware Dynamic Convolution |
| ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution | segmentation | |
| ISEC: Iterative over- | segmentation | via edge clustering |
| ISLA: Temporal | segmentation | and Labeling for Audio-Visual Emotion Recognition |
| Island Remote Sensing Image | segmentation | Algorithm Based on FC_U-Net Network, An |
| ISNet: Integrate Image-Level and Semantic-Level Context for Semantic | segmentation | |
| Isomer: Isomerous Transformer for Zero-shot Video Object | segmentation | |
| Isomorphic Manifold Inference for hair | segmentation | |
| Isoperimetric Graph Partitioning for Image | segmentation | |
| Isosurface-Based Level Set Framework for MRA | segmentation | |
| Isotropic Minimal Path Based Framework for | segmentation | and Quantification of Vascular Networks, An |
| ISTD-PDS7: A Benchmark Dataset for Multi-Type Pavement Distress | segmentation | from CCD Images in Complex Scenarios |
| ISTR: Mask-Embedding-Based Instance | segmentation | Transformer |
| IS_IS: Iris | segmentation | for Identification Systems |
| It's Moving! A Probabilistic Model for Causal Motion | segmentation | in Moving Camera Videos |
| Iterated Graph Cuts for Image | segmentation | |
| Iterative Algorithm for | segmentation | of Isolated Handwritten Words in Gurmukhi Script, An |
| Iterative Approximation of Empirical Grey-Level Distributions for Precise | segmentation | of Multimodal Images |
| Iterative Automated Foreground | segmentation | in Video Sequences Using Graph Cuts |
| Iterative Backward | segmentation | for Hierarchical Wavelet Image Coding |
| iterative convolution-thresholding method (ICTM) for image | segmentation | , The |
| Iterative Cross Section Sequence Graph for Handwritten Character | segmentation | |
| Iterative Dataset Filtering for Weakly Supervised | segmentation | of Depth Images |
| Iterative Feedback Control-Based Salient Object | segmentation | |
| Iterative Fuzzy Image | segmentation | |
| Iterative Graph Cuts for Image | segmentation | with a Nonlinear Statistical Shape Prior |
| Iterative image | segmentation | with feature driven heuristic four-color labeling |
| Iterative infrared ship target | segmentation | based on multiple features |
| Iterative Instance | segmentation | |
| Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised | segmentation | in Videos |
| Iterative MAP and ML Estimations for Image | segmentation | |
| iterative motion estimation- | segmentation | method using watershed segments, An |
| Iterative Motion-Based | segmentation | for Object-Based Video Coding |
| Iterative multi-class multi-scale stacked sequential learning: Definition and application to medical volume | segmentation | |
| Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour | segmentation | in MRI |
| Iterative Multimodel Subimage Binarization for Handwritten Character | segmentation | |
| Iterative Next Boundary Detection for Instance | segmentation | of Tree Rings in Microscopy Images of Shrub Cross Sections |
| Iterative Optimization Approach for Unified Image | segmentation | and Matting, An |
| iterative possibilistic knowledge diffusion approach for blind medical image | segmentation | , An |
| Iterative Region | segmentation | |
| Iterative satellite image | segmentation | by fuzzy hit-or-miss and homogeneity index |
| iterative scheme for motion-based scene | segmentation | , An |
| Iterative Seeded Region Growing for Brain Tissue | segmentation | |
| Iterative | segmentation | and motion correction for dynamic PET images based on radioactive tracer kinetics |
| Iterative | segmentation | Method Based on a Contextual Color and Shape Criterion, An |
| Iterative sliced inverse regression for | segmentation | of ultrasound and MR images |
| Iterative Spanning Forest Framework for Superpixel | segmentation | , An |
| Iterative Thresholding Algorithm for Image | segmentation | , An |
| Iterative transductive learning for automatic image | segmentation | and matting with RGB-D data |
| Iteratively-Refined Interactive 3D Medical Image | segmentation | with Multi-Agent Reinforcement Learning |
| IterNet++: An improved model for retinal image | segmentation | by curvelet enhancing, guided filtering, offline hard-sample mining, and test-time augmenting |
| IterNet: Retinal Image | segmentation | Utilizing Structural Redundancy in Vessel Networks |
| Jaccard index compensation for object | segmentation | evaluation |
| JCLMM: A finite mixture model for clustering of circular-linear data and its application to psoriatic plaque | segmentation | |
| JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and | segmentation | |
| JDSNet: Joint Detection and | segmentation | Network for Real-Time Road Scene Understanding |
| JMLNet: Joint Multi-Label Learning Network for Weakly Supervised Semantic | segmentation | in Aerial Images |
| Joined | segmentation | of cortical surface and brain volume in MRI using a homotopic deformable cellular model |
| Joint 2D-3D temporally consistent semantic | segmentation | of street scenes |
| Joint 3-Dimensional Motion/Disparity | segmentation | for Object-Based Stereo Image Sequence Coding |
| joint 3D image semantic | segmentation | and scalable coding scheme with ROI approach, A |
| Joint 3D Instance | segmentation | and Object Detection for Autonomous Driving |
| Joint 3D Scene Reconstruction and Class | segmentation | |
| Joint Action | segmentation | and Classification by an Extended Hidden Markov Model |
| Joint Adaptive Colour Modelling and Skin, Hair and Clothes | segmentation | using Coherent Probabilistic Index Maps |
| Joint Affinity Propagation for Multiple View | segmentation | |
| Joint Appearance and Deformable Shape for Nonparametric | segmentation | |
| Joint Approach to Global Motion Estimation and Motion | segmentation | From a Coarsely Sampled Motion Vector Field, A |
| Joint Calibration for Semantic | segmentation | |
| Joint Calibrationless Reconstruction and | segmentation | of Parallel MRI |
| Joint Camera Clustering and Surface | segmentation | for Large-Scale Multi-view Stereo |
| Joint Classification-Regression Forests for Spatially Structured Multi-Object | segmentation | |
| Joint Color-Spatial-Directional Clustering and Region Merging (JCSD-RM) for Unsupervised RGB-D Image | segmentation | |
| Joint CRF and Locality-Consistent Dictionary Learning for Semantic | segmentation | |
| Joint Deep and Depth for Object-Level | segmentation | and Stereo Tracking in Crowds |
| Joint Dense 3D Interpretation and Multiple Motion | segmentation | of Temporal Image Sequences: A Variational Framework with Active Curve Evolution and Level Sets |
| Joint Depth Prediction and Semantic | segmentation | with Multi-View SAM |
| Joint Dimensionality Reduction, Classification and | segmentation | of Hyperspectral Images |
| Joint entropy-based motion | segmentation | for 3D animations |
| Joint Estimation of Local Variance and Local Regularity for Texture | segmentation | . Application to Multiphase Flow Characterization |
| Joint estimation of | segmentation | and structure from motion |
| Joint Estimation- | segmentation | of Optic Flow |
| Joint Forecasting of Panoptic | segmentation | s with Difference Attention |
| Joint Framework Towards Class-aware and Class-Agnostic Alignment for Few-Shot | segmentation | , A |
| Joint Future Semantic and Instance | segmentation | Prediction |
| Joint Global and Dynamic Pseudo Labeling for Semi-Supervised Point Cloud Sequence | segmentation | |
| Joint Histogram Modelling for | segmentation | Multiple Sclerosis Lesions |
| Joint image reconstruction and | segmentation | using the Potts model |
| Joint image restoration and | segmentation | using Gauss-Markov-Potts prior models and variational Bayesian computation |
| Joint Image | segmentation | and Interpretation Using Iterative Semantic Region Growing on SAR Sea Ice Imagery |
| Joint Image | segmentation | and Motion Estimation for Low Bit Rate Video Coding |
| Joint Inductive and Transductive Learning for Video Object | segmentation | |
| Joint Intensity Classification and Specimen | segmentation | on HEp-2 Images: a Deep Learning Approach |
| Joint Kernel Learning for Supervised Image | segmentation | |
| Joint Key-Frame Extraction and Object | segmentation | for Content-Based Video Analysis |
| Joint Key-Frame Extraction and Object-Based Video | segmentation | |
| Joint Learning of 3D Lesion | segmentation | and Classification for Explainable COVID-19 Diagnosis |
| Joint Learning of Intrinsic Images and Semantic | segmentation | |
| Joint Learning of Saliency Detection and Weakly Supervised Semantic | segmentation | |
| Joint metal artifact reduction and | segmentation | of CT images using dictionary-based image prior and continuous-relaxed potts model |
| Joint Motion Correction and 3D | segmentation | with Graph-Assisted Neural Networks for Retinal OCT |
| Joint motion estimation and | segmentation | of complex scenes with label costs and occlusion modeling |
| Joint Motion | segmentation | and Background Estimation in Dynamic Scenes |
| Joint moving cast shadows | segmentation | and light source detection in video sequences |
| Joint Multi-Layer | segmentation | and Reconstruction for Free-Viewpoint Video Applications |
| Joint Multi-Leaf | segmentation | , Alignment, and Tracking for Fluorescence Plant Videos |
| Joint Multi-person Pose Estimation and Semantic Part | segmentation | |
| joint multi-scale convolutional network for fully automatic | segmentation | of the left ventricle, A |
| Joint multi-scale discrimination and region | segmentation | for person re-ID |
| Joint multi-view foreground | segmentation | and 3D reconstruction with tolerance loop |
| joint multicontext and multiscale approach to Bayesian image | segmentation | , A |
| Joint Multiregion | segmentation | and Parametric Estimation of Image Motion by Basis Function Representation and Level Set Evolution |
| Joint Multisource Saliency and Exemplar Mechanism for Weakly Supervised Video Object | segmentation | |
| Joint Multiview | segmentation | and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency |
| Joint NDT Image Restoration and | segmentation | Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation |
| Joint Non-rigid Motion Estimation and | segmentation | |
| Joint Object and Part | segmentation | Using Deep Learned Potentials |
| Joint object discovery and | segmentation | with image-wise reconstruction error |
| Joint Object | segmentation | and Behavior Classification in Image Sequences |
| Joint Object | segmentation | and Depth Upsampling |
| Joint Object-Material Category | segmentation | from Audio-Visual Cues |
| Joint Optic Disc and Cup | segmentation | Based on Multi-Label Deep Network and Polar Transformation |
| Joint Optical Flow and Temporally Consistent Semantic | segmentation | |
| Joint optical flow estimation, | segmentation | , and 3D interpretation with level sets |
| Joint Optimization for Object Class | segmentation | and Dense Stereo Reconstruction |
| Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in | segmentation | |
| Joint Optimization of Representation Model and Frame | segmentation | for Generic Video Compression |
| Joint optimization of | segmentation | and appearance models |
| Joint Optimization of | segmentation | and Color Clustering |
| Joint Parametric and Non-parametric Curve Evolution for Medical Image | segmentation | |
| Joint Person | segmentation | and Identification in Synchronized First- and Third-Person Videos |
| Joint Prediction of Amodal and Visible Semantic | segmentation | for Automated Driving |
| Joint prior models of neighboring objects for 3D image | segmentation | |
| Joint Reconstruction- | segmentation | on Graphs |
| Joint recovery and | segmentation | of polarimetric images using a compound MRF and mixture modeling |
| Joint Region Merging Criteria for Watershed-based Image | segmentation | |
| Joint Registration and Active Contour | segmentation | for Object Tracking |
| Joint Registration and | segmentation | of Histological Volume Data by Diffusion-Based Label Adaption |
| Joint rendering and | segmentation | of free-viewpoint images |
| Joint Rendering and | segmentation | of Free-Viewpoint Video |
| Joint | segmentation | and B-Spline Object Contour Modelling for Object Tracking and Motion Compensation in Image Sequences |
| joint | segmentation | and classification framework for COVID-19 infection segmentation and detection from chest CT images, A |
| joint | segmentation | and classification framework for COVID-19 infection segmentation and detection from chest CT images, A |
| Joint | segmentation | and classification of human actions in video |
| Joint | segmentation | and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model Based on Generalized Gaussian Priors |
| Joint | segmentation | and image interpretation |
| Joint | segmentation | and Image Interpretation Using Hidden Markov Models |
| Joint | segmentation | and motion estimation |
| Joint | segmentation | and Path Classification of Curvilinear Structures |
| Joint | segmentation | and Pose Tracking of Human in Natural Videos |
| Joint | segmentation | and Recognition of Categorized Objects From Noisy Web Image Collection |
| Joint | segmentation | and Recognition of License Plate Characters |
| Joint | segmentation | and Registration for Infant Brain Images |
| Joint | segmentation | and registration of elastically deformable objects |
| Joint | segmentation | and Shape Regularization With a Generalized Forward-Backward Algorithm |
| Joint | segmentation | of collectively moving objects using a bag-of-words model and level set evolution |
| Joint | segmentation | of color and depth data based on splitting and merging driven by surface fitting |
| Joint | segmentation | of Images and Scanned Point Cloud in Large-Scale Street Scenes With Low-Annotation Cost |
| Joint | segmentation | of Moving Object and Estimation of Background in Low-Light Video using Relaxation |
| Joint | segmentation | of Myocardium on Rest and Stress Spect Images |
| Joint | segmentation | of Retinal Layers and Focal Lesions in 3-D OCT Data of Topologically Disrupted Retinas |
| joint | segmentation | -registration framework based on weighted total variation and nonlinear elasticity principles, A |
| Joint | segmentation | /Registration Model Based on a Nonlocal Characterization of Weighted Total Variation and Nonlocal Shape Descriptors, A |
| Joint | segmentation | /Registration Model by Shape Alignment via Weighted Total Variation Minimization and Nonlinear Elasticity |
| Joint semantic and geometric | segmentation | of videos with a stage model |
| Joint Semantic | segmentation | and 3D Reconstruction from Monocular Video |
| Joint Semantic | segmentation | and Boundary Detection Using Iterative Pyramid Contexts |
| Joint Semantic | segmentation | and Depth Estimation with Deep Convolutional Networks |
| Joint semantic-geometric learning for polygonal building | segmentation | from high-resolution remote sensing images |
| Joint Semantic-Instance | segmentation | Method for Intelligent Transportation System |
| Joint Semantic-Instance | segmentation | of 3D Point Clouds: Instance Separation and Semantic Fusion |
| Joint Semi-supervised and Active Learning for | segmentation | of Gigapixel Pathology Images with Cost-Effective Labeling |
| Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical | segmentation | |
| joint snake and atlas-based | segmentation | of plantar foot thermal images, A |
| Joint Space-Frequency | segmentation | Using Balanced Wavelet Packet Trees for Least-Cost Image Representation |
| Joint Space-frequency | segmentation | , Entropy Coding and the Compression of Ultrasound Images |
| Joint space-time image sequence | segmentation | based on volume competition and level sets |
| Joint Space-Time Motion-Based | segmentation | of Image Sequences with Level Set PDES |
| Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame | segmentation | |
| Joint spatio-temporal registration and microvasculature | segmentation | of retinal angiogram sequences |
| Joint Spine | segmentation | and Noise Removal From Ultrasound Volume Projection Images With Selective Feature Sharing |
| Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object | segmentation | |
| Joint super-resolution and | segmentation | from a set of low resolution images using a Bayesian approach with a Gauss-Markov-Potts prior |
| Joint Task-Recursive Learning for Semantic | segmentation | and Depth Estimation |
| Joint temporal context exploitation and active learning for video | segmentation | |
| Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure | segmentation | |
| Joint tracking and | segmentation | of multiple targets |
| Joint Tracking and | segmentation | of Objects Using Graph Cuts |
| Joint Tumor | segmentation | in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions |
| Joint Vessel | segmentation | and Deformable Registration on Multi-Modal Retinal Images Based on Style Transfer |
| Joint Video Object Discovery and | segmentation | by Coupled Dynamic Markov Networks |
| Joint weakly and fully supervised learning for surface defect | segmentation | from images |
| JOTS: Joint Online Tracking and | segmentation | |
| JSENet: Joint Semantic | segmentation | and Edge Detection Network for 3D Point Clouds |
| JSIS3D: Joint Semantic-Instance | segmentation | of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields |
| JSNet++: Dynamic Filters and Pointwise Correlation for 3D Point Cloud Instance and Semantic | segmentation | |
| JSPNet: Learning joint semantic and instance | segmentation | of point clouds via feature self-similarity and cross-task probability |
| JSSR: A Joint Synthesis, | segmentation | , and Registration System for 3D Multi-modal Image Alignment of Large-scale Pathological CT Scans |
| Jumping snakes and parametric model for lip | segmentation | |
| K-convexity Shape Priors for | segmentation | |
| k-max Geodesic Distance and Its Application in Image | segmentation | , A |
| K-means based | segmentation | for real-time zenithal people counting |
| K-means Iterative Fisher (KIF) unsupervised clustering algorithm applied to image texture | segmentation | |
| K-Net: Integrate Left Ventricle | segmentation | and Direct Quantification of Paired Echo Sequence |
| K-Smallest Spanning Tree | segmentation | s |
| k-Space Model of Movement Artefacts: Application to | segmentation | Augmentation and Artefact Removal, A |
| Kalman Filtering Perspective for Multiatlas | segmentation | , A |
| Kangaroo Vehicle Collision Detection Using Deep Semantic | segmentation | Convolutional Neural Network |
| Kernel Centered Alignment Supervised Metric for Multi-Atlas | segmentation | |
| Kernel Conditional Ordinal Random Fields for Temporal | segmentation | of Facial Action Units |
| Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven | segmentation | : Teaching Level Sets to Walk |
| Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set | segmentation | |
| Kernel feature selection to fuse multi-spectral MRI images for brain tumor | segmentation | |
| Kernel-based Bayesian clustering of computed tomography images for lung nodule | segmentation | |
| Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level | segmentation | |
| Kernel-based spectral color image | segmentation | |
| Kernelized Memory Network for Video Object | segmentation | |
| Kernelized structural SVM learning for supervised object | segmentation | |
| Kernelized Temporal Cut for Online Temporal | segmentation | and Recognition |
| Key Points Estimation and Point Instance | segmentation | Approach for Lane Detection |
| Key-based melody | segmentation | for popular songs |
| Key-segments for video object | segmentation | |
| Key-Word-Aware Network for Referring Expression Image | segmentation | |
| Keypoint Transfer for Fast Whole-Body | segmentation | |
| KeypointMask: A Real-Time Instance | segmentation | for Oblique Object Detection in Robotic Picking |
| Keyword-based image color re-rendering with semantic | segmentation | |
| kidney | segmentation | approach from DCE-MRI using level sets, A |
| Kidney | segmentation | using 3D U-Net localized with Expectation Maximization |
| Kidney | segmentation | using graph cuts and pixel connectivity |
| KISS: A Multiagent | segmentation | System |
| KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric | segmentation | |
| Knee Articular Cartilage | segmentation | from MR Images: A Review |
| kNN-Based Feature Learning Network for Semantic | segmentation | of Point Cloud Data |
| Knot | segmentation | in 3D CT images of wet wood |
| Knot | segmentation | in Noisy 3D Images of Wood |
| Know What Your Neighbors Do: 3D Semantic | segmentation | of Point Clouds |
| Knowing What to Label for Few Shot Microscopy Image Cell | segmentation | |
| Knowledge Adaptation for Efficient Semantic | segmentation | |
| Knowledge Aided Character | segmentation | from Handwritten Document Image |
| Knowledge and Spatial Pyramid Distance-Based Gated Graph Attention Network for Remote Sensing Semantic | segmentation | |
| Knowledge and Strategies for Image | segmentation | |
| Knowledge distillation for incremental learning in semantic | segmentation | |
| Knowledge Enhanced Neural Networks for Point Cloud Semantic | segmentation | |
| Knowledge Evolution Learning: A Cost-Free Weakly Supervised Semantic | segmentation | Framework for High-Resolution Land Cover Classification |
| Knowledge from Markers in Watershed | segmentation | |
| Knowledge-aware deep framework for collaborative skin lesion | segmentation | and melanoma recognition |
| Knowledge-based adaptive thresholding | segmentation | of digital subtraction angiography images |
| knowledge-based approach to the iris | segmentation | problem, A |
| knowledge-based approach to volumetric medical image | segmentation | , A |
| Knowledge-based English cursive script | segmentation | |
| Knowledge-based registration & | segmentation | of the left ventricle: A level set approach |
| Knowledge-Based | segmentation | Algorithm for Enhanced Recognition of Handwritten Courtesy Amounts, A |
| Knowledge-based | segmentation | and labeling of brain structures from MRI images |
| Knowledge-based | segmentation | and state-based control in image analysis: Two examples from the biomedical domain |
| Knowledge-Based | segmentation | Method for Document Understanding, A |
| Knowledge-Based | segmentation | of SAR Data with Learned Priors |
| Knowledge-based | segmentation | of SAR images |
| Knowledge-Based | segmentation | of Sonar Data |
| knowledge-based | segmentation | system for handwritten dates on bank cheques, A |
| Knowledge-based sub-pattern | segmentation | : Decompositions of Chinese characters |
| Knowledge-driven | segmentation | of the central sulcus from human brain MR images |
| Knowledge-Guided | segmentation | of 3D Imagery |
| Kohonen Networks For Multiscale Image | segmentation | |
| Kvasir-instrument: Diagnostic and Therapeutic Tool | segmentation | Dataset in Gastrointestinal Endoscopy |
| KVGCN: A KNN Searching and VLAD Combined Graph Convolutional Network for Point Cloud | segmentation | |
| L-Snet: from Region Localization To Scale Invariant Medical Image | segmentation | |
| L0-regularized discrete variational level set method for image | segmentation | , The |
| L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic | segmentation | |
| Label Consistent Multiclass Discriminative Dictionary Learning for MRI | segmentation | |
| Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image | segmentation | , A |
| Label Fusion for Multi-atlas | segmentation | Based on Majority Voting |
| Label Fusion in Atlas-Based | segmentation | Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE) |
| Label fusion method based on sparse patch representation for the brain MRI image | segmentation | |
| Label group diffusion for image and image pair | segmentation | |
| Label set perturbation for MRF based neuroimaging | segmentation | |
| Label-driven Reconstruction for Domain Adaptation in Semantic | segmentation | |
| Label-efficient Deep Learning-based Semantic | segmentation | of Building Point Clouds At Lod3 Level |
| Label-Free Liver Tumor | segmentation | |
| Label-Free | segmentation | of COVID-19 Lesions in Lung CT |
| Label-Guided Knowledge Distillation for Continual Semantic | segmentation | on 2D Images and 3D Point Clouds |
| Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance | segmentation | |
| Labelling and evaluation of 3D objects | segmentation | using multiclass boosting algorithm |
| Labels4Free: Unsupervised | segmentation | using StyleGAN |
| LabOR: Labeling Only if Required for Domain Adaptive Semantic | segmentation | |
| LAC: Latent Action Composition for Skeleton-based Action | segmentation | |
| Ladder-Style DenseNets for Semantic | segmentation | of Large Natural Images |
| Laformer: Vision Transformer for Panoramic Image Semantic | segmentation | |
| Lagrangian Particle Dynamics Approach for Crowd Flow | segmentation | and Stability Analysis, A |
| Lake Ice-Water Classification of RADARSAT-2 Images by Integrating IRGS | segmentation | with Pixel-Based Random Forest Labeling |
| lambda-Connectedness Determination for Image | segmentation | |
| Land Cover | segmentation | of Airborne LiDAR Data Using Stochastic Atrous Network |
| Land Use and Land Cover Mapping Using Deep Learning Based | segmentation | Approaches and VHR Worldview-3 Images |
| Landmark-aware Self-supervised Eye Semantic | segmentation | |
| Landslide Detection Using Multi-Scale Image | segmentation | and Different Machine Learning Models in the Higher Himalayas |
| Landslide | segmentation | with Deep Learning: Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil |
| LANet: Local Attention Embedding to Improve the Semantic | segmentation | of Remote Sensing Images |
| Language Adaptive Methodology for Handwritten Text Line | segmentation | |
| Language as Queries for Referring Video Object | segmentation | |
| Language Identification for Printed Text Independent of | segmentation | |
| Language-Aware Spatial-Temporal Collaboration for Referring Video | segmentation | |
| Language-Bridged Spatial-Temporal Interaction for Referring Video Object | segmentation | |
| Language-Grounded Indoor 3D Semantic | segmentation | in the Wild |
| Languages for constrained binary | segmentation | based on maximum a posteriori probability labeling |
| Laplace Integral for a Watershed | segmentation | , The |
| Laplacian Coordinates for Seeded Image | segmentation | |
| Laplacian Coordinates: Theory and Methods for Seeded Image | segmentation | |
| Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and | segmentation | |
| Laplacian Operator Based Level Set | segmentation | Algorithm for Medical Images |
| Laplacian Pyramid Reconstruction and Refinement for Semantic | segmentation | |
| Laplacian Salience-Gated Feature Pyramid Network for Accurate Liver Vessel | segmentation | |
| Laptran: Transformer Embedding Graph Laplacian for Point Cloud Part | segmentation | |
| Large area QuickBird imagery for object-based image analysis in Western Kenya: pre-processing difficulties, workarounds and resulting benefits as well as (first) | segmentation | strategies |
| Large Displacement Dynamic Scene | segmentation | through Multiscale Saliency Flow |
| Large Kernel Matters: Improve Semantic | segmentation | by Global Convolutional Network |
| Large Kernel Refine Fusion Net for Neuron Membrane | segmentation | |
| large margin algorithm for automated | segmentation | of white matter hyperintensity, A |
| Large scale and long standing simultaneous reconstruction and | segmentation | |
| Large Scale Image | segmentation | with Structured Loss Based Deep Learning for Connectome Reconstruction |
| Large Scale Labelled Video Data Augmentation for Semantic | segmentation | in Driving Scenarios |
| Large Scale Semantic | segmentation | of Virtual Environments to Facilitate Corrosion Management |
| Large-scale burn severity mapping in multispectral imagery using deep semantic | segmentation | models |
| large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic | segmentation | , A |
| Large-scale gaussian process multi-class classification for semantic | segmentation | and facade recognition |
| Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance | segmentation | approach |
| Large-Scale Interactive Object | segmentation | With Human Annotators |
| Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic | segmentation | |
| Large-Scale Multibaseline Phase Unwrapping: Interferogram | segmentation | Based on Multibaseline Envelope-Sparsity Theorem |
| Large-Scale Multimodal Gesture | segmentation | and Recognition Based on Convolutional Neural Networks |
| Large-Scale Network Construction and Lightweighting Method for Point Cloud Semantic | segmentation | , A |
| Large-Scale Point Cloud Semantic | segmentation | with Superpoint Graphs |
| Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic | segmentation | model |
| Large-Scale Sparse Learning From Noisy Tags for Semantic | segmentation | |
| Large-Scale Spatial-Temporal Identification of Urban Vacant Land and Informal Green Spaces Using Semantic | segmentation | |
| Large-Scale Unsupervised Semantic | segmentation | |
| Large-scale urban environment modeling from videos using image content | segmentation | and alignment |
| Large-scale Video Panoptic | segmentation | in the Wild: A Benchmark |
| Large-Scene Deceptive Jamming Method for Space-Borne SAR Based on Time-Delay and Frequency-Shift with Template | segmentation | , A |
| large-to-fine-scale shape prior for probabilistic | segmentation | s using a deformable m-rep, A |
| Laser Line | segmentation | with Dynamic Line Models |
| LaserMix for Semi-Supervised LiDAR Semantic | segmentation | |
| Latency Driven Spatially Sparse Optimization for Multi-Branch CNNs for Semantic | segmentation | |
| Latent Correlation Representation Learning for Brain Tumor | segmentation | With Missing MRI Modalities |
| Latent fingerprint detection and | segmentation | with a directional total variation model |
| Latent Fingerprint Image | segmentation | Using Fractal Dimension Features and Weighted Extreme Learning Machine Ensemble |
| Latent Low-Rank Representation for subspace | segmentation | and feature extraction |
| Latent mixture vocabularies for object categorization and | segmentation | |
| Latent Semantics Local Distribution for CRF-based Image Semantic | segmentation | |
| Latent Space Regularization for Unsupervised Domain Adaptation in Semantic | segmentation | |
| Latent- | segmentation | , Hazard-Based Models of Travel Time |
| LATEST: Local AdapTivE and Sequential Training for Tissue | segmentation | of Isointense Infant Brain MR Images |
| Lattice Algebra Approach to Color Image | segmentation | |
| Lattice Approach to Image | segmentation | , A |
| Lattice Boltzmann Method Based Medical Image | segmentation | |
| Lattice Boltzmann Method of Active Contour for Image | segmentation | |
| Lattice-Theoretic Approach for | segmentation | of Truss-Like Porous Objects in Outdoor Aerial Scenes, A |
| LAVT: Language-Aware Vision Transformer for Referring Image | segmentation | |
| Layer-Specific Knowledge Distillation for Class Incremental Semantic | segmentation | |
| Layer-Wise Customized Weak | segmentation | Block and AIoU Loss for Accurate Object Detection |
| Layered Embeddings for Amodal Instance | segmentation | |
| Layered motion | segmentation | and depth ordering by tracking edges |
| Layered moving-object | segmentation | for stereoscopic video using motion and depth information |
| Layered object detection for multi-class | segmentation | |
| Layered Object Models for Image | segmentation | |
| Layered | segmentation | and optical flow estimation over time |
| layered stereo algorithm using image | segmentation | and global visibility constraints, A |
| layered stereo matching algorithm using image | segmentation | and global visibility constraints, A |
| Lazy Random Walks for Superpixel | segmentation | |
| LBP-Based Active Contour Algorithm for Unsupervised Texture | segmentation | , An |
| LBP-Based | segmentation | of Defocus Blur |
| LC-MSM: Language-Conditioned Masked | segmentation | Model for unsupervised domain adaptation |
| LCSeg-Net: A low-contrast images semantic | segmentation | model with structural and frequency spectrum information |
| LCSegNet: An Efficient Semantic | segmentation | Network for Large-Scale Complex Chinese Character Recognition |
| LCU-Net: A novel low-cost U-Net for environmental microorganism image | segmentation | |
| LD-ZNet: A Latent Diffusion Approach for Text-Based Image | segmentation | |
| LDA-based Relative Hysteresis Classifier with Application to | segmentation | of Retinal Vessels, An |
| LDD: A Grape Diseases Dataset Detection and Instance | segmentation | |
| LDFUNet: Large-Kernel Convolution and Dynamic Fusion Network for Superpixel | segmentation | |
| Le-BEiT: A Local-Enhanced Self-Supervised Transformer for Semantic | segmentation | of High Resolution Remote Sensing Images |
| LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image | segmentation | |
| Leaf Area Estimation by Semantic | segmentation | of Point Cloud of Tomato Plants |
| Leaf | segmentation | and Tracking Using Probabilistic Parametric Active Contours |
| Leaf | segmentation | Based on k-Means Algorithm to Obtain Leaf Angle Distribution Using Terrestrial LiDAR |
| Leaf | segmentation | in plant phenotyping: a collation study |
| Leaf | segmentation | under Loosely Controlled Conditions |
| Leaf | segmentation | , Its 3D Position Estimation and Leaf Classification from a Few Images with Very Close Viewpoints |
| LeafMask: Towards Greater Accuracy on Leaf | segmentation | |
| Leakage suppression in human airway tree | segmentation | using shape optimization based on fuzzy connectivity method |
| Leap | segmentation | for recovering image surface layout |
| Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp | segmentation | |
| Learnable contextual regularization for semantic | segmentation | of indoor scene images |
| Learnable Gated Convolutional Neural Network for Semantic | segmentation | in Remote-Sensing Images |
| Learnable interpolation and extrapolation network for fuzzy pulmonary lobe | segmentation | |
| Learnable Pixel Clustering Via Structure and Semantic Dual Constraints for Unsupervised Image | segmentation | |
| Learnable Snake R-CNN for Instance-Level Biomedical Image | segmentation | |
| learnable support selection scheme for boosting few-shot | segmentation | , A |
| Learnable Tensor Graph Fusion Framework for Natural Image | segmentation | |
| Learnable Upsampling-Based Point Cloud Semantic | segmentation | |
| Learned Shape-Tailored Descriptors for | segmentation | |
| Learned Watershed: End-to-End Learning of Seeded | segmentation | |
| Learning 3D mesh | segmentation | and labeling |
| Learning 3D Semantic | segmentation | with only 2D Image Supervision |
| Learning a classification model for | segmentation | |
| Learning a color distance metric for region-based image | segmentation | |
| Learning a constrained conditional random field for enhanced | segmentation | of fallen trees in ALS point clouds |
| Learning a Contextual Multi-Thread Model for Movie/TV Scene | segmentation | |
| Learning a convolutional neural network for propagation-based stereo image | segmentation | |
| Learning a Discriminative Feature Network for Semantic | segmentation | |
| Learning a nonlinear distance metric for supervised region-merging image | segmentation | |
| Learning a Probabilistic Similarity Function for | segmentation | |
| Learning a target-dependent classifier for cross-domain semantic | segmentation | : Fine-tuning versus meta-learning |
| Learning a Weakly-Supervised Video Actor-Action | segmentation | Model With a Wise Selection |
| Learning Active Contour Models for Medical Image | segmentation | |
| Learning Aerial Image | segmentation | From Online Maps |
| Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic | segmentation | with Transformers |
| Learning Affinity Functions for Image | segmentation | : Combining Patch-Based and Gradient-Based Approaches |
| Learning Affordance | segmentation | : An Investigative Study |
| Learning an interactive | segmentation | system |
| Learning an Optimisable Semantic | segmentation | Map with Image Conditioned Variational Autoencoder |
| Learning and Adapting Robust Features for Satellite Image | segmentation | on Heterogeneous Data Sets |
| Learning and Incorporating Top-Down Cues in Image | segmentation | |
| Learning and Inferring Image | segmentation | s Using the GBP Typical Cut Algorithm |
| Learning and Memorizing Representative Prototypes for 3d Point Cloud Semantic and Instance | segmentation | |
| Learning and Propagation of Dominant Colors for Fast Video | segmentation | |
| Learning Approach for Adaptive Image | segmentation | , A |
| Learning automata for image | segmentation | |
| Learning Based Approach for 3D | segmentation | and Colon Detagging, A |
| Learning Based Character | segmentation | Method for Various License Plates |
| Learning based Detection, | segmentation | and matching of objects |
| Learning Based Interactive Image | segmentation | |
| Learning Based Single Image Blur Detection and | segmentation | |
| Learning by Sampling for White Blood Cells | segmentation | |
| Learning Calibrated Medical Image | segmentation | via Multi-rater Agreement Modeling |
| Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic | segmentation | |
| Learning Class-Specific Edges for Object Detection and | segmentation | |
| Learning Clustering for Motion | segmentation | |
| Learning Co- | segmentation | by Segment Swapping for Retrieval and Discovery |
| Learning color and locality cues for moving object detection and | segmentation | |
| Learning Common and Specific Features for RGB-D Semantic | segmentation | with Deconvolutional Networks |
| Learning Complementary Saliency Priors for Foreground Object | segmentation | in Complex Scenes |
| Learning Context Cues for Synapse | segmentation | |
| Learning Contextual Variations for Video | segmentation | |
| Learning Cross-Channel Representations for Semantic | segmentation | |
| Learning Cross-Modal Affinity for Referring Video Object | segmentation | Targeting Limited Samples |
| Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance | segmentation | |
| Learning Deconvolution Network for Semantic | segmentation | |
| Learning Deep Conditional Neural Network for Image | segmentation | |
| Learning deep cross-scale feature propagation for indoor semantic | segmentation | |
| Learning deep feature correspondence for unsupervised anomaly detection and | segmentation | |
| Learning Deep Semantic | segmentation | Network Under Multiple Weakly-Supervised Constraints for Cross-Domain Remote Sensing Image Semantic Segmentation |
| Learning Deep Semantic | segmentation | Network Under Multiple Weakly-Supervised Constraints for Cross-Domain Remote Sensing Image Semantic Segmentation |
| Learning Deep Spatial-Spectral Features for Material | segmentation | in Hyperspectral Images |
| Learning Deep Spatio-Temporal Dependence for Semantic Video | segmentation | |
| Learning dictionary via subspace | segmentation | for sparse representation |
| Learning Dilation Factors for Semantic | segmentation | of Street Scenes |
| Learning Discriminative Feature with CRF for Unsupervised Video Object | segmentation | |
| Learning distance metric for semi-supervised image | segmentation | |
| Learning Distance Transform for Boundary Detection and Deformable | segmentation | in CT Prostate Images |
| Learning Dual Multi-Scale Manifold Ranking for Semantic | segmentation | of High-Resolution Images |
| Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object | segmentation | |
| Learning Dynamic Routing for Semantic | segmentation | |
| Learning Event Representations for Temporal | segmentation | of Image Sequences by Dynamic Graph Embedding |
| Learning Fast and Robust Target Models for Video Object | segmentation | |
| Learning Feature Trajectories Using Gabor Filter Bank for Human Activity | segmentation | and Recognition |
| Learning Few-shot | segmentation | from Bounding Box Annotations |
| Learning Fine-Grained | segmentation | of 3D Shapes without Part Labels |
| Learning Foreground Information Bottleneck for few-shot semantic | segmentation | |
| Learning Foreground-Background | segmentation | from Improved Layered GANs |
| Learning Framework for the Automatic and Accurate | segmentation | of Cardiac Tagged MRI Images, A |
| Learning from multiple annotators for medical image | segmentation | |
| Learning From Partially Labeled Data for Multi-Organ and Tumor | segmentation | |
| Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic | segmentation | |
| Learning from Scale-invariant Examples for Domain Adaptation in Semantic | segmentation | |
| Learning From Synthetic CT Images via Test-Time Training for Liver Tumor | segmentation | |
| Learning From Synthetic Data for Crowd Instance | segmentation | in the Wild |
| Learning from Synthetic Data: Addressing Domain Shift for Semantic | segmentation | |
| Learning from Weak and Noisy Labels for Semantic | segmentation | |
| Learning Full Pairwise Affinities for Spectral | segmentation | |
| Learning Generalized Knowledge From a Single Domain on Urban-Scene | segmentation | |
| Learning Geodesic Active Contours for Embedding Object Global Information in | segmentation | CNNs |
| Learning geodesic CRF model for image | segmentation | |
| Learning Graph Cut Energy Functions for Image | segmentation | |
| Learning Hybrid Semantic Affinity for Point Cloud | segmentation | |
| Learning image-specific parameters for interactive | segmentation | |
| Learning Implicit Feature Alignment Function for Semantic | segmentation | |
| Learning Instance Activation Maps for Weakly Supervised Instance | segmentation | |
| Learning Instance Occlusion for Panoptic | segmentation | |
| Learning Instance | segmentation | by Interaction |
| Learning Instance-Specific Adaptation for Cross-Domain | segmentation | |
| Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic | segmentation | |
| Learning Inter-superpoint Affinity for Weakly Supervised 3d Instance | segmentation | |
| Learning interactive multi-object | segmentation | through appearance embedding and spatial attention |
| Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic | segmentation | |
| Learning Layered Motion | segmentation | of Video |
| Learning Layered Motion | segmentation | s of Video |
| Learning Light Field Synthesis with Multi-Plane Images: Scene Encoding as a Recurrent | segmentation | Task |
| Learning Manifold Structures With Subspace | segmentation | s |
| Learning Melanocytic Proliferation | segmentation | in Histopathology Images from Imperfect Annotations |
| Learning Meta-class Memory for Few-Shot Semantic | segmentation | |
| Learning mixture models with support vector machines for sequence classification and | segmentation | |
| Learning More Accurate Features for Semantic | segmentation | in Cyclenet |
| Learning Motion-Appearance Co-Attention for Zero-Shot Video Object | segmentation | |
| Learning Multi-Class | segmentation | s From Single-Class Datasets |
| Learning Multi-Object Tracking and | segmentation | From Automatic Annotations |
| Learning multi-scale synergic discriminative features for prostate image | segmentation | |
| Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic | segmentation | |
| Learning Must-Link Constraints for Video | segmentation | Based on Spectral Clustering |
| Learning Neural Eigenfunctions for Unsupervised Semantic | segmentation | |
| Learning non-target items for interesting clothes | segmentation | in fashion images |
| Learning Non-target Knowledge for Few-shot Semantic | segmentation | |
| Learning Object Deformation and Motion Adaption for Semi-supervised Video Object | segmentation | |
| Learning Object Depth from Camera Motion and Video Object | segmentation | |
| Learning Object Interactions and Descriptions for Semantic Image | segmentation | |
| Learning object | segmentation | from video data |
| Learning of perceptual grouping for object | segmentation | on RGB-D data |
| Learning Open-Vocabulary Semantic | segmentation | Models From Natural Language Supervision |
| Learning Optical Flow Propagation Strategies Using Random Forests for Fast | segmentation | in Dynamic 2D and 3D Echocardiography |
| Learning or Modelling? An Analysis of Single Image | segmentation | Based on Scribble Information |
| Learning Orthogonal Prototypes for Generalized Few-Shot Semantic | segmentation | |
| Learning panoptic | segmentation | through feature discriminability |
| Learning Part | segmentation | from Synthetic Animals |
| Learning Part | segmentation | through Unsupervised Domain Adaptation from Synthetic Vehicles |
| Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic | segmentation | |
| Learning Point Embeddings from Shape Repositories for Few-Shot | segmentation | |
| Learning Position and Target Consistency for Memory-based Video Object | segmentation | |
| Learning Probabilistic Approach for Object | segmentation | , A |
| Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic | segmentation | |
| Learning Pseudo-Relations for Cross-domain Semantic | segmentation | |
| Learning Quality-aware Dynamic Memory for Video Object | segmentation | |
| Learning Random-Walk Label Propagation for Weakly-Supervised Semantic | segmentation | |
| Learning Recognition and | segmentation | of 3-D Objects from 2-D Images |
| Learning Recognition and | segmentation | Using the Cresceptron |
| Learning Regional Purity for Instance | segmentation | on 3D Point Clouds |
| Learning Rich Features from RGB-D Images for Object Detection and | segmentation | |
| Learning Saliency Propagation for Semi-Supervised Instance | segmentation | |
| Learning Scale-Adaptive Representations for Point-Level LiDAR Semantic | segmentation | |
| Learning | segmentation | of Documents with Complex Scripts |
| Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic | segmentation | |
| Learning self-target knowledge for few-shot | segmentation | |
| Learning Semantic | segmentation | from Multiple Datasets with Label Shifts |
| Learning Semantic | segmentation | From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach |
| Learning Semantic | segmentation | of Large-Scale Point Clouds With Random Sampling |
| Learning Semantic | segmentation | on Unlabeled Real-World Indoor Point Clouds via Synthetic Data |
| Learning Semantic | segmentation | with Diverse Supervision |
| Learning shape priors for object | segmentation | via neural networks |
| Learning Shape | segmentation | Using Constrained Spectral Clustering and Probabilistic Label Transfer |
| Learning shape statistics for hierarchical 3D medical image | segmentation | |
| Learning Shape-Invariant Representation for Generalizable Semantic | segmentation | |
| Learning similarity metrics for dynamic scene | segmentation | |
| Learning Skip Map for Efficient Ultra-High Resolution Image | segmentation | |
| Learning Sparse Geometric Features for Building | segmentation | from Low-Resolution Remote-Sensing Images |
| Learning spatial relations for object-specific | segmentation | using Bayesian network model |
| Learning spatio-temporal dependency of local patches for complex motion | segmentation | |
| Learning specific-class | segmentation | from diverse data |
| Learning Statistical Texture for Semantic | segmentation | |
| Learning Structured Models for | segmentation | of 2-D and 3-D Imagery |
| Learning superpixel relations for supervised image | segmentation | |
| Learning Superpixels with | segmentation | -Aware Affinity Loss |
| Learning Temporal Distribution and Spatial Correlation Toward Universal Moving Object | segmentation | |
| Learning Temporal Video Procedure | segmentation | from an Automatically Collected Large Dataset |
| Learning Text-Line | segmentation | Using Codebooks and Graph Partitioning |
| Learning Texture Invariant Representation for Domain Adaptation of Semantic | segmentation | |
| Learning the What and How of Annotation in Video Object | segmentation | |
| Learning to Adapt Adversarial Perturbation Consistency for Domain Adaptive Semantic | segmentation | of Remote Sensing Images |
| Learning to Adapt Structured Output Space for Semantic | segmentation | |
| Learning to Align Semantic | segmentation | and 2.5D Maps for Geolocalization |
| Learning to approximate global shape priors for figure-ground | segmentation | |
| Learning to Associate Every Segment for Video Panoptic | segmentation | |
| Learning to Boost Filamentary Structure | segmentation | |
| Learning to Combine Bottom-Up and Top-Down | segmentation | |
| Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic | segmentation | |
| Learning To Disambiguate Strongly Interacting Hands via Probabilistic Per-Pixel Part | segmentation | |
| Learning to Exploit the Prior Network Knowledge for Weakly Supervised Semantic | segmentation | |
| Learning to Generate Text-Grounded Mask for Open-World Semantic | segmentation | from Only Image-Text Pairs |
| Learning to generate training datasets for robust semantic | segmentation | |
| Learning to Predict Context-adaptive Convolution for Semantic | segmentation | |
| Learning to Rank Atlases for Multiple-Atlas | segmentation | |
| Learning to realign hierarchy for image | segmentation | |
| Learning to Recommend Frame for Interactive Video Object | segmentation | in the Wild |
| Learning to See the Invisible: End-to-End Trainable Amodal Instance | segmentation | |
| Learning to Simulate Complex Scenes for Street Scene | segmentation | |
| Learning Topological Interactions for Multi-Class Medical Image | segmentation | |
| Learning Transferrable Knowledge for Semantic | segmentation | with Deep Convolutional Neural Network |
| Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein | segmentation | in CT |
| Learning Unbiased Zero-Shot Semantic | segmentation | Networks Via Transductive Transfer |
| Learning Uncertainty for Safety-Oriented Semantic | segmentation | in Autonomous Driving |
| Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor | segmentation | With Missing Modalities |
| Learning Unsupervised Video Object | segmentation | Through Visual Attention |
| Learning Video Object | segmentation | from Static Images |
| Learning Video Object | segmentation | From Unlabeled Videos |
| Learning Video Object | segmentation | with Visual Memory |
| Learning Video-independent Eye Contact | segmentation | from In-the-wild Videos |
| Learning Visual Dictionaries from Class-Specific Superpixel | segmentation | |
| Learning Visual Motion | segmentation | Using Event Surfaces |
| Learning What Not to Segment: A New Perspective on Few-Shot | segmentation | |
| Learning What to Learn for Video Object | segmentation | |
| Learning Where to Classify in Multi-view Semantic | segmentation | |
| Learning With Context Feedback Loop for Robust Medical Image | segmentation | |
| Learning with Free Object Segments for Long-Tailed Instance | segmentation | |
| Learning With Memory for Few-Shot Semantic | segmentation | |
| Learning with Minimal Effort: Leveraging in Silico Labeling for Cell and Nucleus | segmentation | |
| Learning with Noisy Class Labels for Instance | segmentation | |
| Learning with Noisy Labels for Robust Point Cloud | segmentation | |
| Learning With Privileged Multimodal Knowledge for Unimodal | segmentation | |
| Learning-Based 3T Brain MRI | segmentation | with Guidance from 7T MRI Labeling |
| Learning-based algorithm selection for image | segmentation | |
| Learning-Based Atlas Selection for Multiple-Atlas | segmentation | |
| Learning-Based Candidate | segmentation | Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting |
| Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object | segmentation | of Knee MRI: Data From the Osteoarthritis Initiative |
| Learning-Based Framework for Supervised and Unsupervised Image | segmentation | Evaluation, A |
| Learning-Based Image Ground | segmentation | Using Multiple Cues |
| Learning-Based Multi-Label | segmentation | of Transrectal Ultrasound Images for Prostate Brachytherapy |
| Learning-Based Object Identification and | segmentation | Using Dual-Energy CT Images for Security |
| Learning-Based Object | segmentation | Using Regional Spatial Templates and Visual Features |
| Learning-Based Prediction-and-Verification | segmentation | Scheme for Hand Sign Image Sequence, A |
| Learning-Based | segmentation | Framework for Tissue Images Containing Gene Expression Data |
| Learning-Based Vertebra Detection and Iterative Normalized-Cut | segmentation | for Spinal MRI |
| Leaves | segmentation | in 3D Point Cloud |
| Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic | segmentation | |
| Left Atrial | segmentation | from 3D Respiratory- and ECG-gated Magnetic Resonance Angiography |
| Left ventricle | segmentation | from cardiac MRI combining level set methods with deep belief networks |
| Left Ventricle | segmentation | from Heart MDCT |
| Left ventricular | segmentation | based on a parallel watershed transformation towards an accurate heart function evaluation |
| Left/right hand | segmentation | in egocentric videos |
| Legal amount recognition based on the | segmentation | hypotheses for bank check processing |
| Legendre Based Adaptive Image | segmentation | Combining The Gradient Information |
| Leishmaniasis Parasite | segmentation | and Classification Using Deep Learning |
| Length Increasing Active Contour for the | segmentation | of Small Blood Vessels |
| Lesion Detection in Ct Images Using Deep Learning Semantic | segmentation | Technique |
| Lesion Detection Using Morphological Watershed | segmentation | and Modelbased Inverse Filtering |
| Lesion | segmentation | in Dynamic Contrast Enhanced MRI of Breast |
| Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic | segmentation | |
| Less is More: Sample Selection and Label Conditioning Improve Skin Lesion | segmentation | |
| Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual | segmentation | s |
| Less Than Few: Self-shot Video Instance | segmentation | |
| LESS: Label-Efficient Semantic | segmentation | for LiDAR Point Clouds |
| Let's Take a Walk on Superpixels Graphs: Deformable Linear Objects | segmentation | and Model Estimation |
| Leukocyte | segmentation | in Blood Smear Images Using Region-Based Active Contours |
| Level Lines as Global Minimizers of Energy Functionals in Image | segmentation | |
| Level Lines Selection with Variational Models for | segmentation | and Encoding |
| level set approach for shape-driven | segmentation | and tracking of the left ventricle, A |
| Level Set Approach to Image | segmentation | With Intensity Inhomogeneity, A |
| Level Set Based Image | segmentation | with Multiple Regions |
| Level Set Based Multispectral | segmentation | with Corners |
| Level Set Based | segmentation | of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-Means Clustering |
| Level Set Based | segmentation | Using Local Feature Distribution |
| Level set based shape prior and deep learning for image | segmentation | |
| Level Set Based Shape Prior | segmentation | |
| Level Set Based Unified Framework for Pulmonary Nodule | segmentation | , A |
| Level Set Bridging Force for the | segmentation | of Dendritic Spines, A |
| Level set evolution with locally linear classification for image | segmentation | |
| Level set formulation for automatic medical image | segmentation | based on fuzzy clustering |
| Level set framework based on local scalable Gaussian distribution and adaptive-scale operator for accurate image | segmentation | and correction |
| level set framework using a new incremental, robust Active Shape Model for object | segmentation | and tracking, A |
| Level set framework with transcendental constraint for robust and fast image | segmentation | |
| level set image | segmentation | method based on a cloud model as the priori contour, A |
| level set method based on the Bayesian risk for medical image | segmentation | , A |
| level set method for brain MR image | segmentation | under asymmetric distributions, A |
| level set method for convexity preserving | segmentation | of cardiac left ventricle, A |
| Level Set Method for Gland | segmentation | , A |
| Level Set Method for Image | segmentation | in the Presence of Intensity Inhomogeneities With Application to MRI, A |
| Level Set Method for Infrared Image | segmentation | Using Global and Local Information, A |
| level set method for very high resolution airborne sar image | segmentation | , A |
| Level set method with Retinex-corrected saliency embedded for image | segmentation | |
| Level Set Methods for Watershed Image | segmentation | |
| Level set methods, distance function and image | segmentation | |
| Level Set | segmentation | Based on Local Gaussian Distribution Fitting |
| Level Set | segmentation | in Graphics Hardware |
| Level Set | segmentation | Method of the Four Heart Cavities in Pediatric Ultrasound Images, A |
| Level Set | segmentation | of Brain Matter Using a Trans-Roto-Scale Invariant High Dimensional Feature |
| Level Set | segmentation | of Cellular Images Based on Topological Dependence |
| Level set | segmentation | of intensity inhomogeneous images based on local linear approximation of difference image |
| Level Set | segmentation | of Knee Bones Using Normal Profile Models |
| Level Set | segmentation | Using Statistical Shape Priors |
| Level set | segmentation | with both shape and intensity priors |
| Level Set | segmentation | With Multiple Regions |
| Level set | segmentation | with outlier rejection |
| Level set | segmentation | with robust image gradient energy and statistical shape prior |
| Level Set | segmentation | with Shape and Appearance Models Using Affine Moment Descriptors |
| Level Set | segmentation | , Level Set Methods |
| Level Set with Embedded Conditional Random Fields and Shape Priors for | segmentation | of Overlapping Objects |
| Level Set-Based Bimodal | segmentation | With Stationary Global Minimum |
| level set-based framework for 3D kidney | segmentation | from diffusion MR images, A |
| level set-based global shape prior and its application to image | segmentation | , A |
| Level Sets, Medical Image | segmentation | |
| Level-Set Based Infrared Image | segmentation | for Automatic Veterinary Health Monitoring |
| Level-Set Based Volumetric CT | segmentation | Technique: A Case Study with Pulmonary Air Bubbles, A |
| Level-set evolution with region competition: Automatic 3-D | segmentation | of brain tumors |
| level-set method for inhomogeneous image | segmentation | with application to breast thermography images, A |
| Level-set person | segmentation | and tracking with multi-region appearance models and top-down shape information |
| Level-Set | segmentation | of Brain Tumors Using a New Hybrid Speed Function |
| Level-set | segmentation | of brain tumors using a threshold-based speed function |
| Levelings, Image Simplification Filters for | segmentation | |
| Levelset and B-Spline Deformable Model Techniques for Image | segmentation | : A Pragmatic Comparative Study |
| Levelset R-CNN: A Deep Variational Method for Instance | segmentation | |
| Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action | segmentation | |
| Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic | segmentation | |
| Leveraging colour | segmentation | for upper-body detection |
| Leveraging Crowdsourced Data for Creating Temporal | segmentation | Ground Truths of Subjective Tasks |
| Leveraging Geometric Structure for Label-Efficient Semi-Supervised Scene | segmentation | |
| Leveraging Hidden Positives for Unsupervised Semantic | segmentation | |
| Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action | segmentation | and Recognition |
| Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance | segmentation | |
| Leveraging Motion Priors in Videos for Improving Human | segmentation | |
| Leveraging Optical Flow Features for Higher Generalization Power in Video Object | segmentation | |
| Leveraging Pretrained Image Classifiers for Language-Based | segmentation | |
| Leveraging Road Area Semantic | segmentation | with Auxiliary Steering Task |
| Leveraging the Mixed-Text | segmentation | Problem to Design Secure Handwritten CAPTCHAs |
| Leveraging topology for domain adaptive road | segmentation | in satellite and aerial imagery |
| Leveraging triplet loss for unsupervised action | segmentation | |
| Leveraging Visual Prompts To Guide Language Modeling for Referring Video Object | segmentation | |
| Lexicon-Driven | segmentation | and Recognition of Handwritten Character Strings for Japanese Address Reading |
| Lexicon-Free, Novel | segmentation | of Online Handwritten Indic Words |
| LHI | segmentation | Dataset |
| License Plate Character | segmentation | Using Hidden Markov Chains |
| License Plate Detection and Character | segmentation | Using Adaptive Binarization Based on Superpixels under Illumination Change |
| License plate | segmentation | and recognition system using deep learning and OpenVINO |
| LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic | segmentation | |
| LiDAR | segmentation | using Suitable Seed Points for 3D Building Extraction |
| LiDAR video object | segmentation | with dynamic kernel refinement |
| LiDAR-based Panoptic | segmentation | via Dynamic Shifting Network |
| LiDAR-Based Real-Time Panoptic | segmentation | via Spatiotemporal Sequential Data Fusion |
| LiDAR-based Recurrent 3D Semantic | segmentation | with Temporal Memory Alignment |
| LiDAR-Camera Panoptic | segmentation | via Geometry-Consistent and Semantic-Aware Alignment |
| LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic | segmentation | |
| Ligature | segmentation | for Urdu OCR |
| Light Field | segmentation | Using a Ray-Based Graph Structure |
| Light Transport Induced Domain Adaptation for Semantic | segmentation | in Thermal Infrared Urban Scenes |
| Light-Field Surface Color | segmentation | with an Application to Intrinsic Decomposition |
| Lighter the Better: Rethinking Transformers in Medical Image | segmentation | Through Adaptive Pruning, The |
| LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic | segmentation | Network for Remote Sensing Imagery |
| Lighting-Aware | segmentation | of Microscopy Images for In Vitro Fertilization |
| Lightweight and Efficient Infrared Pedestrian Semantic | segmentation | Method, A |
| Lightweight and Progressively-Scalable Networks for Semantic | segmentation | |
| Lightweight attention-guided redundancy-reuse network for real-time semantic | segmentation | |
| Lightweight boundary refinement module based on point supervision for semantic | segmentation | |
| Lightweight cascade framework for optic disc | segmentation | |
| Lightweight Deep Learning Pipeline for Detection, | segmentation | and Classification of Breast Cancer Anomalies |
| Lightweight Dual-Domain Network for Real-Time Medical Image | segmentation | |
| Lightweight lane line detection based on learnable cluster | segmentation | with self-attention mechanism |
| Lightweight multi-scale attention-guided network for real-time semantic | segmentation | |
| lightweight network for smoke semantic | segmentation | , A |
| Lightweight Real-Time Semantic | segmentation | Network with Efficient Transformer and CNN |
| LIIS: Low-light image instance | segmentation | |
| Limited view CT reconstruction and | segmentation | via constrained metric labeling |
| Limits of Motion-Background | segmentation | Using Fundamental Matrix Estimation |
| Line detection and | segmentation | in historical church registers |
| Line Labeling And Region- | segmentation | In Stereo Image Pairs |
| Line Segment Based Watershed | segmentation | |
| Line | segmentation | for Degraded Handwritten Historical Documents |
| Line | segmentation | for Grayscale Text Images of Khmer Palm Leaf Manuscripts |
| Line | segmentation | Free Probabilistic Keyword Spotting and Indexing |
| Linear 3D Elastic | segmentation | Model for Vector Fields. Application to the Heart Segmentation in MRI, A |
| Linear 3D Elastic | segmentation | Model for Vector Fields. Application to the Heart Segmentation in MRI, A |
| Linear Algorithm for | segmentation | of Digital Curves, A |
| Linear color | segmentation | and its implementation |
| Linear Filtering Models for Texture Classification and | segmentation | |
| Linear Framework for Region-Based Image | segmentation | and Inpainting Involving Curvature Penalization, A |
| Linear regression motion analysis for unsupervised temporal | segmentation | of human actions |
| Linear Seam Elimination of Tunnel Crack Images Based on Statistical Specific Pixels Ratio and Adaptive Fragmented | segmentation | |
| Linear-Time Approach for Image | segmentation | Using Graph-Cut Measures, A |
| Linecounter: Learning Handwritten Text Line | segmentation | By Counting |
| Linguistic Structure Guided Context Modeling for Referring Image | segmentation | |
| Linking Models for Multiscale Image | segmentation | |
| LinkNet: Exploiting encoder representations for efficient semantic | segmentation | |
| Links Between Image | segmentation | Based on Optimum-Path Forest and Minimum Cut in Graph |
| LINKS: Learning-Based Multi-source IntegratioN FrameworK for | segmentation | of Infant Brain Images |
| Lip contour | segmentation | and tracking compliant with lip-reading application constraints |
| Lip Contour | segmentation | Using Kernel Methods and Level Sets |
| Lip Image | segmentation | in Mobile Devices Based on Alternative Knowledge Distillation |
| Lip Image | segmentation | Using Fuzzy Clustering Incorporating an Elliptic Shape Function |
| Lip | segmentation | based on Lambertian shadings and morphological operators for hyper-spectral images |
| Lip | segmentation | under MAP-MRF Framework with Automatic Selection of Local Observation Scale and Number of Segments |
| Lip | segmentation | Using Level Set Method: Fusing Landmark Edge Distance and Image Information |
| Lip-motion events analysis and lip | segmentation | using optical flow |
| LIP: Learning Instance Propagation for Video Object | segmentation | |
| Lisnet: A Covid-19 Lung Infection | segmentation | Network Based on Edge Supervision and Multi-Scale Context Aggregation |
| Lite-weight semantic | segmentation | with AG self-attention |
| Live cell image | segmentation | |
| Live cell image | segmentation | |
| Live Cell | segmentation | in Fluorescence Microscopy via Graph Cut |
| Live video object tracking and | segmentation | using graph cuts |
| Live Video | segmentation | in Dynamic Backgrounds Using Thermal Vision |
| LIVEcut: Learning-based Interactive Video | segmentation | by Evaluation of Multiple Propagated Cues |
| Liver MRI | segmentation | with edge-preserved intensity inhomogeneity correction |
| Liver | segmentation | based on deformable registration and multi-layer segmentation |
| Liver | segmentation | based on deformable registration and multi-layer segmentation |
| Liver | segmentation | in CT Images Using Three Dimensional to Two Dimensional Fully Convolutional Network |
| Liver | segmentation | using superpixel-based graph cuts and restricted regions of shape constrains |
| Liver | segmentation | with constrained convex variational model |
| Liver tumor | segmentation | from computed tomography images using multiscale residual dilated encoder-decoder network |
| Liver tumor | segmentation | using a new asymmetrical dilated convolutional semantic segmentation network in CT images |
| Liver tumor | segmentation | using a new asymmetrical dilated convolutional semantic segmentation network in CT images |
| Liver Vessels | segmentation | Based on 3d Residual U-NET |
| LiveSeg: Unsupervised Multimodal Temporal | segmentation | of Long Livestream Videos |
| Lizard: A Large-Scale Dataset for Colonic Nuclear Instance | segmentation | and Classification |
| LMSA-Net: A lightweight multi-scale aware network for retinal vessel | segmentation | |
| load unbalancing problem for region growing image | segmentation | algorithms, The |
| Local adaptive receptive field self-organizing map for image color | segmentation | |
| Local and global encoder network for semantic | segmentation | of Airborne laser scanning point clouds |
| Local and global evaluation for remote sensing image | segmentation | |
| Local binary pattern encoding schemes for computed tomography image | segmentation | : An experimental and comparative study |
| Local Color Transfer via Probabilistic | segmentation | by Expectation-Maximization |
| Local Context Attention for Salient Object | segmentation | |
| Local difference-based active contour model for medical image | segmentation | and bias correction |
| Local Histogram Based | segmentation | Using the Wasserstein Distance |
| Local Image | segmentation | With Geometric Filters |
| Local integrity constraints for structure detection and | segmentation | in high-resolution earth observation images |
| Local Intensity Order Transformation for Robust Curvilinear Object | segmentation | |
| Local maximum likelihood | segmentation | of echocardiographic images with Rayleigh distribution |
| Local Mean Multiphase | segmentation | with HMMF Models |
| Local Mutual Information for Dissimilarity-Based Image | segmentation | |
| Local Optimization Based | segmentation | of Spatially-Recurring, Multi-Region Objects With Part Configuration Constraints |
| Local Orientation Smoothness Prior for Vascular | segmentation | of Angiography |
| Local Polynomial Approximation for Unsupervised | segmentation | of Endoscopic Images |
| Local Probabilistic Prior-Based Active Contour Model for Brain MR Image | segmentation | , A |
| local Rayleigh model with spatial scale selection for ultrasound image | segmentation | , A |
| Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential | segmentation | |
| Local | segmentation | for Pedestrian Tracking in Dense Crowds |
| Local Shape Transfer for Image Co- | segmentation | |
| local spatiocolor analysis applied to pattern | segmentation | , A |
| Local Statistic Based Region | segmentation | with Automatic Scale Selection |
| Local stereo matching with canny | segmentation | and reliable seed propagation |
| Local Stereo Matching with | segmentation | -based Outlier Rejection |
| Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor | segmentation | |
| local tangent plane distance-based approach to 3D point cloud | segmentation | via clustering, A |
| local ternary pattern encoder-decoder neural network for dental image | segmentation | , The |
| Local versus Global | segmentation | for Facial Expression Recognition |
| Local Versus Global Variational Approaches to Enhance Watershed Transformation Based Individual Tree Crown | segmentation | of Digital Surface Models From 3k Optical Imagery |
| Local-Global Context Aware Transformer for Language-Guided Video | segmentation | |
| Local-Global Framework for Semantic | segmentation | of Multisource Remote Sensing Images, A |
| Local-to-Global Approach to Multi-Modal Movie Scene | segmentation | , A |
| Locale Group Based Line | segmentation | Approach for Non Uniform Skewed and Curved Arabic Handwritings, A |
| Localisation and | segmentation | of optic disc with the fractional-order Darwinian particle swarm optimisation algorithm |
| Localised edge-region-based active contour for medical image | segmentation | |
| Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic | segmentation | |
| Localization and | segmentation | of 3D Intervertebral Discs in MR Images by Data Driven Estimation |
| Localization and | segmentation | of A 2D High Capacity Color Barcode |
| Localization and | segmentation | of aortic endografts using marker detection |
| Localization of Objects in Electric Distribution Systems by Using | segmentation | and 3D Template Matching with M-estimators |
| Localization Scale Selection for Scale-Space | segmentation | |
| Localized Interactive Instance | segmentation | |
| Localized statistics for DW-MRI fiber bundle | segmentation | |
| Localizing Text in Scene Images by Boundary Clustering, Stroke | segmentation | , and String Fragment Classification |
| locally adaptive region growing algorithm for vascular | segmentation | , A |
| Locally Adaptive Speed Functions for Level Sets in Image | segmentation | |
| Locally Constrained Random Walk Approach for Airway | segmentation | of Low-Contrast Computed Tomography (CT) Image, A |
| Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus | segmentation | |
| Locally-Constrained Region-Based Methods for DW-MRI | segmentation | |
| Locate then Segment: A Strong Pipeline for Referring Image | segmentation | |
| Locating Noise is Halfway Denoising for Semi-Supervised | segmentation | |
| Location Sensitive Network for Human Instance | segmentation | |
| Location-Aware Self-Supervised Transformers for Semantic | segmentation | |
| LOCUS: Learning Object Classes with Unsupervised | segmentation | |
| Logarithmic Opinion Pool Based STAPLE Algorithm for the Fusion of | segmentation | s With Associated Reliability Weights, A |
| Logarithmic Spiral Grid and Gaze Control for the Development of Strategies of Visual | segmentation | on a Document |
| Logging Trail | segmentation | via a Novel U-Net Convolutional Neural Network and High-Density Laser Scanning Data |
| Logic-induced Diagnostic Reasoning for Semi-supervised Semantic | segmentation | |
| LOGISMOS-B: Layered Optimal Graph Image | segmentation | of Multiple Objects and Surfaces for the Brain |
| LOGISMOS: Layered Optimal Graph Image | segmentation | of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint |
| LOGISMOS: Layered Optimal Graph Image | segmentation | of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint |
| Long short-distance topology modelling of 3D point cloud | segmentation | with a graph convolution neural network |
| Long term video | segmentation | through pixel level spectral clustering on GPUs |
| Long-Tailed Effect Study in Remote Sensing Semantic | segmentation | Based on Graph Kernel Principles |
| Long-Tailed Instance | segmentation | Using Gumbel Optimized Loss |
| Long-term global motion estimation and its application for sprite coding, content description, and | segmentation | |
| Long-term Moving Object | segmentation | and Tracking Using Spatio-temporal Consistency |
| Longitudinal Patch-Based | segmentation | of Multiple Sclerosis White Matter Lesions |
| Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic | segmentation | |
| Look Before You Match: Instance Understanding Matters in Video Object | segmentation | |
| Look Closer to Segment Better: Boundary Patch Refinement for Instance | segmentation | |
| Lookahead adversarial learning for near real-time semantic | segmentation | |
| Looking Beyond Single Images for Weakly Supervised Semantic | segmentation | Learning |
| Looking from a Higher-level Perspective: Attention and Recognition Enhanced Multi-scale Scene Text | segmentation | |
| Looking Outside the Box: The Role of Context in Random Forest Based Semantic | segmentation | of PolSAR Images |
| loop filter with | segmentation | mode in video coding, A |
| Loop-Free Snakes for Image | segmentation | |
| LoopDA: Constructing Self-loops to Adapt Nighttime Semantic | segmentation | |
| Loosecut: Interactive image | segmentation | with loosely bounded boxes |
| Loss Max-Pooling for Semantic Image | segmentation | |
| Lossless Compression of Digital Mammography Using Fixed Block | segmentation | and Pixel Grouping |
| lossless image compression algorithm using variable block size | segmentation | , A |
| Lossless image compression with multiscale | segmentation | |
| LOTS: Litter On The Sand dataset for litter | segmentation | |
| Low Bit-Rate Video Coding with Implicit Multiscale | segmentation | |
| Low Complexity Convolutional Neural Network for Vessel | segmentation | in Portable Retinal Diagnostic Devices |
| Low Complexity Motion | segmentation | Based on Semantic Representation of Encoded Video Streams, A |
| Low Level Image | segmentation | : An Expert System |
| Low Level Information Fusion: Multisensor Scene | segmentation | Using Learning Automata |
| Low Level | segmentation | Using CMOS Smart Hexagonal Image Sensor |
| Low-complexity progressive image transmission scheme based on quadtree | segmentation | |
| Low-Complexity Region-Based Video Coder Using Backward Morphological Motion Field | segmentation | |
| Low-Complexity Topological Derivative-Based | segmentation | |
| low-cost strong shadow-based | segmentation | approach for vehicle tracking in congested traffic scenes, A |
| Low-Frequency Trajectory Map Matching Method Based on Vehicle Heading | segmentation | |
| Low-Latency Video Semantic | segmentation | |
| Low-Level Hierarchical Multiscale | segmentation | Statistics of Natural Images |
| Low-Level Image | segmentation | Based Scene Classification |
| Low-level multiscale image | segmentation | and a benchmark for its evaluation |
| Low-level | segmentation | of Aerial Images Using Fuzzy Clustering |
| Low-Level | segmentation | of Multispectral Images via Agglomerative Clustering of Uniform Neighbourhoods |
| Low-light image haze removal with light | segmentation | and nonlinear image depth estimation |
| Low-Power Neural Networks for Semantic | segmentation | of Satellite Images |
| Low-Rank Spatio-Temporal Video | segmentation | |
| Low-Rank Transfer Human Motion | segmentation | |
| Low-Shot Learning for the Semantic | segmentation | of Remote Sensing Imagery |
| Lowering the Complexity of Multi-view Encoding through Dynamic | segmentation | and Registration of Video Object |
| LPASS-Net: Lightweight Progressive Attention Semantic | segmentation | Network for Automatic Segmentation of Remote Sensing Images |
| LPASS-Net: Lightweight Progressive Attention Semantic | segmentation | Network for Automatic Segmentation of Remote Sensing Images |
| LPCUNet: A Lightweight Pure CNN UNet for Efficient Urban Scene Remote Sensing Semantic | segmentation | |
| LPMSNet: Location Pooling Multi-Scale Network for Cloud and Cloud Shadow | segmentation | |
| LPSNet: A lightweight solution for fast panoptic | segmentation | |
| LRFFNet: Large Receptive Field Feature Fusion Network for Semantic | segmentation | of SAR Images in Building Areas |
| LS-SVM based image | segmentation | using color and texture information |
| LSI: Latent semantic inference for natural image | segmentation | |
| LSKANet: Long Strip Kernel Attention Network for Robotic Surgical Scene | segmentation | |
| LSRML: A latent space regularization based meta-learning framework for MR image | segmentation | |
| LSS-net: 3-dimensional | segmentation | of the spinal canal for the diagnosis of lumbar spinal stenosis |
| LSTM-MA: A LSTM Method with Multi-Modality and Adjacency Constraint for Brain Image | segmentation | |
| LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image | segmentation | |
| LTST: Long-term | segmentation | tracker with memory attention network |
| LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic | segmentation | Based on End-to-End-Learned 3D Features and U-Net |
| Lucid Data Dreaming for Video Object | segmentation | |
| Lumbar Spine | segmentation | Using a Statistical Multi-Vertebrae Anatomical Shape+Pose Model |
| Lumen | segmentation | and Motion Estimation in B-Mode and Contrast-Enhanced Ultrasound Images of the Carotid Artery in Patients With Atherosclerotic Plaque |
| Lumen | segmentation | Method in Ureteroscopy Images based on a Deep Residual U-Net architecture, A |
| Lung computed axial tomography image | segmentation | using possibilistic fuzzy C-means approach for computer aided diagnosis system |
| Lung field | segmentation | in chest radiographs: a historical review, current status, and expectations from deep learning |
| Lung Lesion Extraction Using a Toboggan Based Growing Automatic | segmentation | Approach |
| Lung lobe | segmentation | in computed tomography images based on multi-feature fusion and ensemble learning framework |
| Lung Nodule Growth Analysis from 3D CT Data with a Coupled | segmentation | and Registration Framework |
| Lung Nodule | segmentation | and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism |
| Lung Nodules | segmentation | with DeepHealth Toolkit |
| Lung Parenchyma | segmentation | from CT Images Based on Material Decomposition |
| Lung | segmentation | and automatic detection of COVID-19 using radiomic features from chest CT images |
| Lung | segmentation | based on Nonnegative Matrix Factorization |
| Lung | segmentation | based on random forest and multi-scale edge detection |
| Lung | segmentation | in chest radiographs by fusing shape information in iterative thresholding |
| Lung | segmentation | in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration |
| Lung | segmentation | in chest radiographs using distance regularized level set and deep-structured learning and inference |
| Lung | segmentation | in chest X-ray image using multi-interaction feature fusion network |
| Lung | segmentation | on chest X-ray images in patients with severe abnormal findings using deep learning |
| Lung Tumor | segmentation | Using Electric Flow Lines for Graph Cuts |
| Lung-Nodule | segmentation | Using a Convolutional Neural Network with the U-Net Architecture |
| LVIS: A Dataset for Large Vocabulary Instance | segmentation | |
| LViT: Language Meets Vision Transformer in Medical Image | segmentation | |
| LVOS: A Benchmark for Long-term Video Object | segmentation | |
| Lymphocyte | segmentation | Using the Transferable Belief Model |
| L_0 Regularized Mumford-Shah Model for Bias Correction and | segmentation | of Medical Images, The |
| M3FPolypSegNet: | segmentation | Network with Multi-Frequency Feature Fusion for Polyp Localization in Colonoscopy Images |
| M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image | segmentation | |
| Maanu-Net: Multi-Level Attention and Atrous Pyramid Nested U-Net for Wrecked Objects | segmentation | in Forward-Looking Sonar Images |
| machine learning approach for brain image enhancement and | segmentation | , A |
| Machine Learning Approach to Waterbody | segmentation | in Thermal Infrared Imagery in Support of Tactical Wildfire Mapping, A |
| Machine learning based video | segmentation | of moving scene by motion index using IO detector and shot segmentation |
| Machine learning based video | segmentation | of moving scene by motion index using IO detector and shot segmentation |
| Machine learning of event | segmentation | for news on demand |
| Machine learning-assisted region merging for remote sensing image | segmentation | |
| Machine printed character | segmentation | : An overview |
| Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate | segmentation | in the Clouds |
| Machine-learned Regularization and Polygonization of Building | segmentation | Masks |
| MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation | segmentation | |
| MAESTER: Masked Autoencoder Guided | segmentation | at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition |
| MAEU-NET: A novel supervised architecture for brain tumor | segmentation | |
| MAFF-HRNet: Multi-Attention Feature Fusion HRNet for Building | segmentation | in Remote Sensing Images |
| Magic-Wall: Visualizing Room Decoration by Enhanced Wall | segmentation | |
| MagicNet: Semi-Supervised Multi-Organ | segmentation | via Magic-Cube Partition and Recovery |
| Magnetic resonance image | segmentation | using optimized nearest neighbor classifiers |
| Magnetic Resonance Image Selection for Multi-Atlas | segmentation | Using Mixture Models |
| Mago Approach for Semantic | segmentation | : the Case Study of UAVid Benchmark Dataset |
| Main-Secondary Network for Defect | segmentation | of Textured Surface Images |
| MAIN: Multi-Attention Instance Network for video | segmentation | |
| Majorization-minimization mixture model determination in image | segmentation | |
| Make It Easier: An Empirical Simplification of a Deep 3D | segmentation | Network for Human Body Parts |
| MAMask: Multi-feature aggregation instance | segmentation | with pyramid attention mechanism |
| Mammographic Density Estimation and Classification Using | segmentation | and Progressive Elimination Method |
| Mammographic Image | segmentation | Using a Tissue-mixture Model and Markov Random Fields |
| Mammographic Mass | segmentation | Using Fuzzy C-means and Decision Trees |
| Mammographic mass | segmentation | using multichannel and multiscale fully convolutional networks |
| Mammographic mass | segmentation | : Embedding multiple features in vector-valued level set in ambiguous regions |
| Man-Made Structure | segmentation | using Gaussian Processes and Wavelet Features |
| Mandible and skull | segmentation | in cone beam computed tomography using super-voxels and graph clustering |
| Manifold Embedding and Semantic | segmentation | for Intraoperative Guidance With Hyperspectral Brain Imaging |
| Manifold Learning for Density | segmentation | in High Risk Mammograms |
| Manifold-enhanced | segmentation | through Random Walks on Linear Subspace Priors |
| Manipulated Face Detection and Localization Based on Semantic | segmentation | |
| Manufactured object sub- | segmentation | based on reflection motion estimation |
| Manufacturing Feature Determination and Extraction I: Optimal Volume | segmentation | |
| MAP Approach for Joint Motion Estimation, | segmentation | , and Super Resolution, A |
| MAP Image Restoration and | segmentation | by Constrained Optimization |
| MAP Representations and Coding-Based Priors for | segmentation | |
| MAP | segmentation | of Color Images Using Constraint Satisfaction Neural Network |
| MAP ZDF | segmentation | and tracking using active stereo vision: Hand tracking case study |
| MAP-Based probabilistic reasoning to vehicle | segmentation | |
| Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image | segmentation | |
| MAP-MRF based lip | segmentation | without true segment number |
| Mapping Auto-context Decision Forests to Deep ConvNets for Semantic | segmentation | |
| Mapping Cones on Mars in High-Resolution Planetary Images with Deep Learning-Based Instance | segmentation | |
| Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image | segmentation | and Classification |
| Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal | segmentation | Algorithm |
| Mapping Plastic Mulched Farmland for High Resolution Images of Unmanned Aerial Vehicle Using Deep Semantic | segmentation | |
| Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic | segmentation | |
| MARE: Self-Supervised Multi-Attention REsu-Net for Semantic | segmentation | in Remote Sensing |
| Marine Animal | segmentation | |
| Marine Debris Dataset for Forward-Looking Sonar Semantic | segmentation | , The |
| Marine Debris Detection Model with Custom Dataset Using Instance | segmentation | |
| Marked Poisson Process Driven Latent Shape Model for 3D | segmentation | of Reflectance Confocal Microscopy Image Stacks of Human Skin, A |
| Marker controlled watershed transform for intra-retinal cysts | segmentation | from optical coherence tomography B-scans |
| Marker-based image | segmentation | relying on disjoint set union |
| Marker-based watershed | segmentation | embedded with edge information |
| Marker-Controlled Watershed-Based | segmentation | of Multiresolution Remote Sensing Images |
| Markerless motion capture of interacting characters using multi-view image | segmentation | |
| Markerless Motion Capture of Multiple Characters Using Multiview Image | segmentation | |
| Markov Chains for unsupervised | segmentation | of degraded NIR iris images for person recognition |
| Markov Game Video Augmentation for Action | segmentation | |
| Markov model for multispectral image analysis: application to small magellanic cloud | segmentation | |
| Markov Random Field and Active Contour Image | segmentation | Model for Animal Spots Patterns, A |
| Markov Random Field Approach to Data Fusion and Colour | segmentation | , A |
| Markov Random Field description of fuzzy color | segmentation | , A |
| Markov random field image | segmentation | model for color textured images, A |
| Markov Random Field Image | segmentation | Model Using Combined Color and Texture Features, A |
| Markov random field modeled range image | segmentation | |
| Markov random field models for hair and face | segmentation | |
| Markov Random Fields (MRF) - Based Texture | segmentation | for Road Detection |
| Markov Random Fields For Improving 3d Mesh Analysis And | segmentation | |
| Markov Random-Field Model-Based Approach to Unsupervised Texture | segmentation | Using Local and Global Spatial Statistics, A |
| Markov Random-Field Models for Unsupervised | segmentation | of Textured Color Images |
| Markov Random-Field | segmentation | of Brain MR-Images |
| Markov surfaces: A probabilistic framework for user-assisted three-dimensional image | segmentation | |
| Markovian Approach for Handwritten Document | segmentation | , A |
| Markovian method for 2D, 3D and 4D | segmentation | of MRI |
| Markovian regularization of latent-variable-models mixture for New multi-component image reduction/ | segmentation | scheme |
| Markovian | segmentation | of 3D brain MRI to detect Multiple Sclerosis lesions |
| Markovian | segmentation | of Color and Gray Level Images |
| Markovian | segmentation | of Textured Color Images |
| MarS3D: A Plug-and-Play Motion-Aware Model for Semantic | segmentation | on Multi-Scan 3D Point Clouds |
| MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic | segmentation | |
| MarsLS-Net: Martian Landslides | segmentation | Network and Benchmark Dataset |
| MASA-SegNet: A Semantic | segmentation | Network for PolSAR Images |
| Masi Entropy for Satellite Color Image | segmentation | Using Tournament-Based Levy Multiverse Optimization Algorithm |
| Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and | segmentation | |
| Mask Encoding for Single Shot Instance | segmentation | |
| Mask encoding: A general instance mask representation for object | segmentation | |
| Mask Selection and Propagation for Unsupervised Video Object | segmentation | |
| Mask SSD: An Effective Single-Stage Approach to Object Instance | segmentation | |
| Mask Textspotter v3: | segmentation | Proposal Network for Robust Scene Text Spotting |
| Mask Transfiner for High-Quality Instance | segmentation | |
| Mask-Attention-Free Transformer for 3D Instance | segmentation | |
| Mask-Free OVIS: Open-Vocabulary Instance | segmentation | without Manual Mask Annotations |
| Mask-Free Video Instance | segmentation | |
| Mask-Guided Attention and Episode Adaptive Weights for Few-Shot | segmentation | |
| Mask-ranking Network for Semi-supervised Video Object | segmentation | |
| Mask-SLAM: Robust Feature-Based Monocular SLAM by Masking Using Semantic | segmentation | |
| MaskConver: Revisiting Pure Convolution Model for Panoptic | segmentation | |
| MaskDis R-CNN: An instance | segmentation | algorithm with adversarial network for herd pigs |
| Masked Collaborative Contrast for Weakly Supervised Semantic | segmentation | |
| Masked-attention Mask Transformer for Universal Image | segmentation | |
| Maskformer with Improved Encoder-Decoder Module for Semantic | segmentation | of Fine-Resolution Remote Sensing Images |
| MaskLab: Instance | segmentation | by Refining Object Detection with Semantic and Direction Features |
| MaskPlus: Improving Mask Generation for Instance | segmentation | |
| MaskSplit: Self-supervised Meta-learning for Few-shot Semantic | segmentation | |
| MasQCLIP for Open-Vocabulary Universal Image | segmentation | |
| Mass | segmentation | in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model |
| Mass | segmentation | in Mammograms Based on the Combination of the Spiking Cortical Model (SCM) and the Improved CV Model |
| Mass | segmentation | in mammograms: A cross-sensor comparison of deep and tailored features |
| MASS: Multi-Attentional Semantic | segmentation | of LiDAR Data for Dense Top-View Understanding |
| Master of All: Simultaneous Generalization of Urban-Scene | segmentation | to All Adverse Weather Conditions |
| Matching Error Based Criterion of Region Merging for Joint Motion Estimation and | segmentation | Techniques |
| Matching Filtering by Region-Based Attributes on Hierachical Structures for Image Co- | segmentation | |
| Matching images under unstable | segmentation | s |
| matching method based on marker-controlled watershed | segmentation | , A |
| Material Classification and Semantic | segmentation | of Railway Track Images with Deep Convolutional Neural Networks |
| Material | segmentation | in hyperspectral images with minimal region perimeters |
| Material-Based | segmentation | of Objects |
| Materials-based 3D | segmentation | of unknown objects from dual-energy computed tomography imagery in baggage security screening |
| Mathematical Analysis of An Extended Mumford-Shah Model for Image | segmentation | |
| MATNet: Motion-Attentive Transition Network for Zero-Shot Video Object | segmentation | |
| MAVEN: An Algorithm for Multi-Parametric Automated | segmentation | of Brain Veins From Gradient Echo Acquisitions |
| Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic | segmentation | |
| MaX-DeepLab: End-to-End Panoptic | segmentation | with Mask Transformers |
| Max-Margin Boltzmann Machines for Object | segmentation | |
| Max-Margin Learning of Deep Structured Models for Semantic | segmentation | |
| Maximal Cliques Based Rigid Body Motion | segmentation | with a RGB-D Camera |
| Maximization and restoration: Action | segmentation | through dilation passing and temporal reconstruction |
| Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic | segmentation | |
| Maximum A-Posteriori Spatial Probability | segmentation | |
| Maximum Likelihood Approach to Feature | segmentation | , A |
| Maximum Likelihood Classification method for image | segmentation | considering subject variability, A |
| Maximum Likelihood Framework for Grouping and | segmentation | , A |
| Maximum likelihood motion | segmentation | using eigen-decomposition |
| Maximum likelihood neural network based on the correlation among neighboring pixels for noisy image | segmentation | |
| Maximum Likelihood Unsupervised Textured Image | segmentation | |
| Maximum Pseudolikelihood Estimation for Mixture-Markov Random Field | segmentation | of the Brain |
| Maximum Spanning Trees For Text | segmentation | |
| Maximum weight cliques with mutex constraints for video object | segmentation | |
| maximum-likelihood approach to | segmentation | -based recognition of unconstrained handwriting text, A |
| Maximum-Likelihood Parameter Estimation for Unsupervised Stochastic Model-Based Image | segmentation | |
| Maximum-likelihood techniques for joint | segmentation | -classification of multispectral chromosome images |
| Maya Codical Glyph | segmentation | : A Crowdsourcing Approach |
| Mbnet: A Multi-task Deep Neural Network for Semantic | segmentation | and Lumbar Vertebra Inspection on X-ray Images |
| MC-SSM: Nonparametric Semantic Image | segmentation | With the ICM Algorithm |
| MC-UNet: Martian Crater | segmentation | at Semantic and Instance Levels Using U-Net-Based Convolutional Neural Network |
| MCA aided geodesic active contours for image | segmentation | with textures |
| MCAFNet: A Multiscale Channel Attention Fusion Network for Semantic | segmentation | of Remote Sensing Images |
| MCANet: A Multi-Branch Network for Cloud/Snow | segmentation | in High-Resolution Remote Sensing Images |
| MCF: Mutual Correction Framework for Semi-Supervised Medical Image | segmentation | |
| MCFM: Mutual Cross Fusion Module for Intermediate Fusion-Based Action | segmentation | |
| MCG&BA-Net: Retinal vessel | segmentation | using multiscale context gating and breakpoint attention |
| MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic | segmentation | |
| MCMC based sampling technique for robust multi-model fitting and visual data | segmentation | |
| MCMC Shape Sampling for Image | segmentation | with Nonparametric Shape Priors |
| MCTE: Marrying Convolution and Transformer Efficiently for End-to-End Medical Image | segmentation | |
| MDF-Net: A Multi-Scale Dynamic Fusion Network for Breast Tumor | segmentation | of Ultrasound Images |
| MDL-Based | segmentation | and Motion Modeling in a Long Image Sequence of Scene with Multiple Independently Moving-Objects |
| MDL-Based | segmentation | and Motion Modeling in Scenes with Multiple Independently Moving Objects |
| MDL-Based Spatiotemporal | segmentation | from Motion in a Long Image Sequence |
| MDPE: A Very Robust Estimator for Model Fitting and Range Image | segmentation | |
| MDR-Net: Multiscale dense residual networks for liver image | segmentation | |
| MDS-based | segmentation | model for the fusion of contour and texture cues in natural images |
| MDSC-Net: A multi-scale depthwise separable convolutional neural network for skin lesion | segmentation | |
| ME-Net: Multi-encoder net framework for brain tumor | segmentation | |
| Mean Field Annealing EM for Image | segmentation | |
| Mean shift algorithm equipped with the intersection of confidence intervals rule for image | segmentation | |
| Mean shift based gradient vector flow for image | segmentation | |
| Mean shift clustering-based moving object | segmentation | in the H.264 compressed domain |
| Mean Shift | segmentation | Assessment for Individual Forest Tree Delineation from Airborne Lidar Data |
| Mean-Shift | segmentation | and PDE-based nonlinear diffusion: Toward a common variational framework for foreground/background document image segmentation |
| Mean-Shift | segmentation | and PDE-based nonlinear diffusion: Toward a common variational framework for foreground/background document image segmentation |
| Mean-shift | segmentation | with wavelet-based bandwidth selection |
| Meaningful Mesh | segmentation | Guided by the 3D Short-Cut Rule |
| Meaningful Object | segmentation | From SAR Images via a Multiscale Nonlocal Active Contour Model |
| MeanShift++: Extremely Fast Mode-Seeking With Applications to | segmentation | and Object Tracking |
| Measure for Mutual Refinements of Image | segmentation | s, A |
| Measure for Objective Evaluation of Image | segmentation | Algorithms, A |
| Measure of Quality for Evaluating Methods of | segmentation | and Edge Detection, A |
| Measure of Septum Shape Using Shortest Path | segmentation | in Echocardiographic Images of LVAD Patients, A |
| Measures and Meta-Measures for the Supervised Evaluation of Image | segmentation | |
| Measuring Cortical Thickness Using An Image Domain Local Surface Model And Topology Preserving | segmentation | |
| Measuring dense false positive regions from | segmentation | result for whole slide tissue histology image |
| Measuring empirical discrepancy in image | segmentation | results |
| Measuring the quality of figure/ground | segmentation | s |
| Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric | segmentation | |
| Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric | segmentation | |
| MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object | segmentation | |
| Media | segmentation | system and related methods |
| Medial Features for Superpixel | segmentation | |
| Medial Visual Fragments as an Intermediate Image Representation for | segmentation | and Perceptual Grouping |
| Medial-Based Deformable Models in Nonconvex Shape-Spaces for Medical Image | segmentation | |
| Medical Image | segmentation | and Retrieval Via Deformable Models |
| Medical image | segmentation | based on dynamic positioning and region-aware attention |
| Medical image | segmentation | based on non-parametric mixture models with spatial information |
| Medical Image | segmentation | Based on Novel Local Order Energy |
| Medical Image | segmentation | by Combining Graph Cuts and Oriented Active Appearance Models |
| Medical image | segmentation | using a contextual-constraint-based Hopfield neural cube |
| Medical image | segmentation | using analysis of isolable-contour maps |
| Medical Image | segmentation | Using Deep Learning with Feature Enhancement |
| Medical image | segmentation | using deep learning: A survey |
| Medical Image | segmentation | Using Descriptive Image Features |
| Medical Image | segmentation | Using Improved Affinity Propagation |
| Medical Image | segmentation | Using K-Means Clustering and Improved Watershed Algorithm |
| Medical Image | segmentation | Using Mean Field Annealing Network |
| Medical Image | segmentation | Using Multi-level Set Partitioning with Topological Graph Prior |
| Medical image | segmentation | using multi-scale and super-resolution method |
| Medical image | segmentation | using openings and closings with reconstruction criteria |
| Medical image | segmentation | using the watershed transformation on graphs |
| Medical Image | segmentation | Using Topologically Adaptable Snakes |
| Medical Image | segmentation | via Cascaded Attention Decoding |
| Medical image | segmentation | via min s-t cuts with sides constraints |
| Medical Image | segmentation | With Deep Atlas Prior |
| Medical image | segmentation | with minimal path deformable models |
| Medical image | segmentation | , volume representation and registration using spheres in the geometric algebra framework |
| Medical Image | segmentation | : A Review of Modern Architectures |
| Medical Image Semantic | segmentation | |
| Medical Images | segmentation | Using Active Contours Driven by Global and Local Image Fitting Energy |
| Medical Knowledge Constrained Semantic Breast Ultrasound Image | segmentation | |
| MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video | segmentation | |
| MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp | segmentation | |
| Meibomian Glands | segmentation | In Near-Infrared Images With Weakly Supervised Deep Learning |
| Melanoma | segmentation | : A framework of improved DenseNet77 and UNET convolutional neural network |
| Membrane | segmentation | via active learning with deep networks |
| Memetic algorithm for multivariate time-series | segmentation | |
| Memorizing GMM to Handle Sharp Changes in Moving Object | segmentation | |
| Memory Aggregation Networks for Efficient Interactive Video Object | segmentation | |
| Memory efficient Multi-Scale Line Detector architecture for retinal blood vessel | segmentation | |
| Memory Guided Road | segmentation | |
| Memory-augmented neural networks based dynamic complex image | segmentation | in digital twins for self-driving vehicle |
| Memory-Augmented Transformer for Remote Sensing Image Semantic | segmentation | |
| Memory-augmented Variational Adaptation for Online Few-shot | segmentation | |
| Memory-Based Cross-Image Contexts for Weakly Supervised Semantic | segmentation | |
| Memory-Friendly | segmentation | Refinement for Video-Based Point Cloud Compression |
| MemorySeg: Online LiDAR Semantic | segmentation | with a Latent Memory |
| Merged U-Net for Bone Tumors X-Ray Images | segmentation | |
| Merging dominant sets and DBSCAN for robust clustering and image | segmentation | |
| Merging parametric active contours within homogeneous image regions for MRI-based lung | segmentation | |
| MERLIN-Seg: Self-supervised despeckling for label-efficient semantic | segmentation | |
| Mesenteric Vasculature-Guided Small Bowel | segmentation | on 3-D CT |
| Mesh Meaningful | segmentation | Algorithm Using Skeleton and Minima-Rule, A |
| Mesh | segmentation | Schemes for Error Resilient Coding of 3-D Graphic Models |
| Mesh | segmentation | with connecting parts for 3D object prototyping |
| Mesh-Based Active Model Initialization for Multiple Organ | segmentation | in MR Images |
| Mesh-based | segmentation | and Update for Object-based Video |
| MeshNet-SP: A Semantic Urban 3D Mesh | segmentation | Network with Sparse Prior |
| MeT: A graph transformer for semantic | segmentation | of 3D meshes |
| Meta Compositional Referring Expression | segmentation | |
| Meta-Evaluation of Image | segmentation | Using Machine Learning |
| Meta-Learned Feature Critics for Domain Generalized Semantic | segmentation | |
| meta-learning approach for selecting image | segmentation | algorithm, A |
| Meta-learning for Adaptive Image | segmentation | |
| Meta-seg: A survey of meta-learning for image | segmentation | |
| Meta-VOS: Learning to Adapt Online Target-Specific | segmentation | |
| MetaBEV: Solving Sensor Failures for 3D Detection and Map | segmentation | |
| MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic | segmentation | |
| Metallic debossed characters industrial online non- | segmentation | identification based on improved multi-scale image fusion enhancement and deep neural network |
| MetaPix: Domain transfer for semantic | segmentation | by meta pixel weighting |
| MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic | segmentation | |
| Method and apparatus for document | segmentation | by background analysis |
| Method and apparatus for three-dimensional object | segmentation | |
| Method and system for document | segmentation | |
| Method and system for real time motion picture | segmentation | and superposition |
| Method and system for | segmentation | , classification, and summarization of video images |
| Method Combining Line Detection and Semantic | segmentation | for Power Line Extraction from Unmanned Aerial Vehicle Images, A |
| Method for Adding Motion-Blur on Arbitrary Objects by Using Auto- | segmentation | and Color Compensation Techniques, A |
| method for character and photograph | segmentation | using dynamic thresholding, A |
| method for combining complementary techniques for document image | segmentation | , A |
| Method for content-based temporal | segmentation | of video |
| Method for detecting moving cast shadows object | segmentation | |
| Method for Footprint Range Image | segmentation | and Description, A |
| method for identification and classification of medicinal plant images based on level set | segmentation | and SVM classification, A |
| method for mixed states texture | segmentation | with simultaneous parameter estimation, A |
| Method for objects | segmentation | in video sequences by object tracking and user assistance |
| Method for PET-CT Lung Cancer | segmentation | based on Improved Random Walk, A |
| Method for Picture | segmentation | by Parts: Split and Group with Linking, A |
| method for | segmentation | of CT head images, A |
| Method for | segmentation | of Cursive Handwritings and Its Application to Character Shape Extraction, A |
| Method for | segmentation | of Local Illumination Variations and Photometric Normalization in Face Images, A |
| Method for | segmentation | , Matching and Alignment of Dead Sea Scrolls, A |
| Method for Shape Analysis and | segmentation | in MRI, A |
| Method for the Analysis of Ambiguous | segmentation | s of Images, A |
| method for the | segmentation | of connected handwritten Persian digits, A |
| method for the | segmentation | of very high spatial resolution images of forested landscapes, A |
| Method of Evaluating Table | segmentation | Results Based on a Table Image Ground Truther, A |
| Method of Integrating Motion Information along Contours Including | segmentation | , A |
| Method of multi-region tumour | segmentation | in brain MRI images using grid-based segmentation and weighted bee swarm optimisation |
| Method of multi-region tumour | segmentation | in brain MRI images using grid-based segmentation and weighted bee swarm optimisation |
| Method to Detect Pavement Surface Distress Based on Improved U-Net Semantic | segmentation | Network, A |
| Methodology and Practice of the Evaluation of Image Retrieval Systems and | segmentation | Methods toutes les pages., The |
| Methodology for Empirical Performance Evaluation of Page | segmentation | Algorithms, A |
| Methodology for Evaluating Range Image | segmentation | Techniques, A |
| Methods and apparatuses for video | segmentation | , classification, and retrieval using image class statistical models |
| Methods for automated | segmentation | of trabecular bone structure |
| Methods for text | segmentation | from scene images |
| Metric and Multiscale Color | segmentation | Using the Color Monogenic Signal, A |
| Metric Approach to Vector-Valued Image | segmentation | , A |
| Metric learning based automatic | segmentation | of patterned species |
| Metrics for Performance Evaluation of Video Object | segmentation | and Tracking Without Ground-truth |
| MeViS: A Large-scale Benchmark for Video | segmentation | with Motion Expressions |
| MeViT: A Medium-Resolution Vision Transformer for Semantic | segmentation | on Landsat Satellite Imagery for Agriculture in Thailand |
| MFANet: A Multi-Level Feature Aggregation Network for Semantic | segmentation | of Land Cover |
| MFAUNet: Multiscale feature attentive U-Net for cardiac MRI structural | segmentation | |
| MFCANet: A Road Scene | segmentation | Network Based on Multi-Scale Feature Fusion and Context Information Aggregation |
| MFNet: Multi-Feature Fusion Network for Real-Time Semantic | segmentation | in Road Scenes |
| MFNet: Multiclass Few-Shot | segmentation | Network with Pixel-Wise Metric Learning |
| MFNet: Panoptic | segmentation | network based on multiscale feature weighted fusion and frequency domain attention mechanism |
| MFS enhanced SAM: Achieving superior performance in bimodal few-shot | segmentation | |
| MFSNet: A multi focus | segmentation | network for skin lesion segmentation |
| MFSNet: A multi focus | segmentation | network for skin lesion segmentation |
| MGCNet: Multilevel Gated Collaborative Network for RGB-D Semantic | segmentation | of Indoor Scene |
| MGSeg: Multiple Granularity-Based Real-Time Semantic | segmentation | Network |
| MHP-VOS: Multiple Hypotheses Propagation for Video Object | segmentation | |
| MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic | segmentation | |
| Micro-crack detection of multicrystalline solar cells featuring an improved anisotropic diffusion filter and image | segmentation | technique |
| Micro-Optical Multiwavelet Element for Hybrid Texture | segmentation | Processor |
| Microaneurysms | segmentation | and diabetic retinopathy detection by learning discriminative representations |
| Microarray Basics: Background Adjustment, | segmentation | , Image Compression and Analysis of Microarray Images |
| Microgliaj: An Automatic Tool for Microglial Cell Detection and | segmentation | |
| Microscopic Blood Smear | segmentation | and Classification Using Deep Contour Aware CNN and Extreme Machine Learning |
| Microscopic Cell | segmentation | and Dead Cell Detection Based on CFSE and PI Images by Using Distance and Watershed Transforms |
| Microscopic image | segmentation | based on pixel classification and dimensionality reduction |
| Microscopic Image | segmentation | with Two-Level Enhancement of Feature Discriminability |
| Microvasculature | segmentation | of arterioles using deep CNN |
| Microvasculature | segmentation | of Co-Registered Retinal Angiogram Sequences |
| Microwave Unmixing With Video | segmentation | for Inferring Broadleaf and Needleleaf Brightness Temperatures and Abundances From Mixed Forest Observations |
| Mid-level | segmentation | and Segment Tracking for Long-Range Stereo Analysis |
| MID-UNet: Multi-input directional UNet for COVID-19 lung infection | segmentation | from CT images |
| Midline Model Based | segmentation | |
| Midrange Geometric Interactions for Semantic | segmentation | |
| MIGN: Multiscale Image Generation Network for Remote Sensing Image Semantic | segmentation | |
| MIL-Derived Transformer for Weakly Supervised Point Cloud | segmentation | , An |
| MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image | segmentation | |
| MIMD and SIMD Parallel Range Data | segmentation | |
| Min-cut Based | segmentation | of Airborne Lidar Point Clouds |
| Min-cut based | segmentation | of point clouds |
| Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools | segmentation | |
| MineCam: Application of Combined Remote Sensing and Machine Learning for | segmentation | and Change Detection of Mining Areas Enabling Multi-Purpose Monitoring |
| MinENet: A Dilated CNN for Semantic | segmentation | of Eye Features |
| Minimal Basis Facility Location for Subspace | segmentation | |
| Minimal Basis Subspace Representation: A Unified Framework for Rigid and Non-rigid Motion | segmentation | |
| Minimal Error Region Merging Technique for | segmentation | , A |
| Minimal Paths for Tubular Structure | segmentation | With Coherence Penalty and Adaptive Anisotropy |
| Minimal Shape and Intensity Cost Path | segmentation | |
| Minimal Surfaces Extend Shortest Path | segmentation | Methods to 3D |
| Minimal Surfaces: A Three-Dimensional | segmentation | Approach |
| Minimal-Surfaces Based Object | segmentation | |
| Minimisation of local within-class variance for image | segmentation | |
| Minimization of Region-Scalable Fitting Energy for Image | segmentation | |
| Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image | segmentation | |
| Minimizing Supervision for Free-Space | segmentation | |
| Minimum barrier superpixel | segmentation | |
| Minimum description length criterion and | segmentation | map coding for region-based video compression |
| Minimum description length synthetic aperture radar image | segmentation | |
| Minimum Entropy | segmentation | Applied to Multi-spectral Chromosome Images |
| Minimum Spanning Tree for | segmentation | |
| Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action | segmentation | |
| Mining Contextual Information Beyond Image for Semantic | segmentation | |
| Mining Cross-Domain Structure Affinity for Refined Building | segmentation | in Weakly Supervised Constraints |
| Mining Cross-Image Semantics for Weakly Supervised Semantic | segmentation | |
| Mining Latent Classes for Few-shot | segmentation | |
| Mining Relations Among Cross-Frame Affinities for Video Semantic | segmentation | |
| MIR: An Approach to Robust Clustering-Application to Range Image | segmentation | |
| MIRAU-Net: An improved neural network based on U-Net for gliomas | segmentation | |
| Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic | segmentation | in Medical Imaging |
| MisMatch: Calibrated | segmentation | via Consistency on Differential Morphological Feature Perturbations With Limited Labels |
| Miss Detection vs. False Alarm: Adversarial Learning for Small Object | segmentation | in Infrared Images |
| MISSFormer: An Effective Transformer for 2D Medical Image | segmentation | |
| Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor | segmentation | |
| Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic | segmentation | |
| MISSU: 3D Medical Image | segmentation | via Self-Distilling TransUNet |
| MIST: Medical Image | segmentation | Transformer with Convolutional Attention Mixing (CAM) Decoder |
| MISTO: A Multi-Resolution Deformable Model for | segmentation | of Soft-Tissue Organs |
| MITES: A Model Driven, Iterative Texture | segmentation | Algorithm |
| Mitral Annulus | segmentation | From 3D Ultrasound Using Graph Cuts |
| Mix-Net: Automatic | segmentation | of COVID-19 CT Images Based on Parallel Design |
| mix-pooling CNN architecture with FCRF for brain tumor | segmentation | , A |
| Mix: A Potential Image Augmentation Method on Retinal Vessel | segmentation | |
| Mixed Feature Prediction on Boundary Learning for Point Cloud Semantic | segmentation | |
| Mixed Methods Approach for Fuel Characterisation in Gorse (Ulex europaeus L.) Scrub from High-Density UAV Laser Scanning Point Clouds and Semantic | segmentation | of UAV Imagery, A |
| Mixed screen frequencies with image | segmentation | |
| Mixed-Domain Training Improves Multi-Mission Terrain | segmentation | |
| Mixed-Dual-Head Meets Box Priors: A Robust Framework for Semi-supervised | segmentation | |
| Mixed-State Markov Random Fields for Motion Texture Modeling and | segmentation | |
| MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic | segmentation | |
| Mixture Domain Adaptation to Improve Semantic | segmentation | in Real-World Surveillance |
| Mixture model for face-color modeling and | segmentation | |
| Mixture Models and the | segmentation | of Multimodal Textures |
| Mixture models with adaptive spatial regularization for | segmentation | with an application to FMRI data |
| Mixture of Trees Probabilistic Graphical Model for Video | segmentation | |
| ML Nonlinear Smoothing for Image | segmentation | and its Relationship to the Mean Shift |
| ML Optimality of PDE-based | segmentation | Algorithms |
| ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic | segmentation | |
| MLAttack: Fooling Semantic | segmentation | Networks by Multi-layer Attacks |
| MLCRNet: Multi-Level Context Refinement for Semantic | segmentation | in Aerial Images |
| MLP Neural Network Classifier for Medical Image | segmentation | |
| MLP-Based Texture | segmentation | Method without Selecting a Feature Set, An |
| MLP-Based Texture | segmentation | Technique Which Does Not Require a Feature Set, An |
| MLS Point Cloud | segmentation | Based On Feature Points of Scanlines |
| MLSA-UNet: End-to-End Multi-Level Spatial Attention Guided UNet for Industrial Defect | segmentation | |
| MLSNet: Resource-Efficient Adaptive Inference with Multi-Level | segmentation | Networks |
| MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic | segmentation | |
| MMAP: Modified Maximum a Posteriori Algorithm for Image | segmentation | in Large Image/Video Databases |
| MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image | segmentation | |
| MMRNet: Improving Reliability for Multimodal Object Detection and | segmentation | for Bin Picking via Multimodal Redundancy |
| MMSMCNet: Modal Memory Sharing and Morphological Complementary Networks for RGB-T Urban Scene Semantic | segmentation | |
| MoA-Net: Self-supervised Motion | segmentation | |
| Mobile Laser Scanning for Estimating Tree Stem Diameter Using | segmentation | and Tree Spine Calibration |
| Mobile-Oriented Hand | segmentation | Algorithm Based on Fuzzy Multiscale Aggregation, A |
| MobileSAM-Track: Lightweight One-Shot Tracking and | segmentation | of Small Objects on Edge Devices |
| MobileVOS: Real-Time Video Object | segmentation | Contrastive Learning meets Knowledge Distillation |
| MoCap Data | segmentation | and Classification Using Kernel Based Multi-channel Analysis |
| Model assisted bootstrapping for annotation of | segmentation | datasets |
| Model Based Approach for Melanoma | segmentation | |
| Model Based Automatic | segmentation | of Tree Stems from Single Scan Data |
| Model Based Part | segmentation | of Range Data: Hyperquadrics and Dividing Planes |
| Model Based Region | segmentation | Using Cooccurrence Matrices |
| Model based | segmentation | and detection of affine transformed shapes in cluttered images |
| Model Based | segmentation | for Retinal Fundus Images |
| Model based | segmentation | of radiological images of the cranium |
| Model Based Text Line | segmentation | Method for Off-line Handwritten Documents, A |
| Model Based Texture | segmentation | and Classification |
| Model based tracking for navigation and | segmentation | |
| Model Doctor for Diagnosing and Treating | segmentation | Error |
| Model Driven | segmentation | of Articulating Humans in Laplacian Eigenspace |
| model for dynamic object | segmentation | with kernel density estimation based on gradient features, A |
| model for simulating user interaction in hierarchical | segmentation | , A |
| Model for smoothing and | segmentation | of texture images using L0 norm |
| Model of Population and Subject (MOPS) Intensities With Application to Multiple Sclerosis Lesion | segmentation | , A |
| Model Optimization Approach to the Automatic | segmentation | of Medical Images, A |
| Model Order Selection and Cue Combination for Image | segmentation | |
| Model Selection for Range | segmentation | of Curved Objects |
| Model Selection Techniques and Merging Rules for Range Data | segmentation | Algorithms |
| Model-Based and Automatic Selection of Statistical Parameters Used in | segmentation | of MR Images |
| model-based approach for human head-and-shoulder | segmentation | , A |
| Model-based Approach To Hair Region | segmentation | , A |
| Model-Based Approach to the | segmentation | of Nasal Cavity and Paranasal Sinus Boundaries, A |
| Model-based brain and tumor | segmentation | |
| Model-Based Curve Evolution Technique for Image | segmentation | |
| Model-based detection, | segmentation | , and classification for image analysis using on-line shape learning |
| Model-based Edge Tracking for | segmentation | of Low Contrast Images |
| Model-based graph | segmentation | in 2-D fluorescence microsecopy images |
| Model-based graph-cut method for automatic flower | segmentation | with spatial constraints |
| Model-based Halftoning for Color Image | segmentation | |
| Model-Based Image | segmentation | for Multi-view Human Gesture Analysis |
| Model-Based Initialisation for | segmentation | |
| Model-Based Interactive Object | segmentation | Procedure, A |
| Model-Based Learning of Local Image Features for Unsupervised Texture | segmentation | |
| Model-Based Learning of | segmentation | s |
| Model-Based Multi-Object | segmentation | via Distribution Matching |
| Model-Based Plane- | segmentation | Using Optical Flow and Dominant Plane |
| Model-Based Recognition and Parameter Estimation of Buildings from Multi-View Aerial Imagery Using Multi- | segmentation | |
| Model-Based | segmentation | and Estimation of 3D Surfaces from Two or More Intensity Images Using Markov Random Fields |
| Model-based | segmentation | and recognition of dynamic gestures in continuous video streams |
| model-based | segmentation | framework for computer processing of handwriting, A |
| Model-Based | segmentation | Method for Handwritten Numeral Strings, A |
| Model-Based | segmentation | of Grey-Tone Images |
| Model-based | segmentation | of leukocytes clusters |
| Model-Based | segmentation | of Medical Imagery by Matching Distributions |
| Model-Based | segmentation | of Multimodal Images |
| Model-Based | segmentation | of Nuclei |
| Model-Based | segmentation | of Reconstructed Dental X-Ray Volumes |
| Model-Based Texture | segmentation | |
| Model-Based Vehicle | segmentation | Method for Tracking, A |
| Model-Based, Semi-Global | segmentation | Approach for Automatic 3-D Point Landmark Localization in Neuroimages, A |
| Model-Driven Deep Learning Method for Pancreatic Cancer | segmentation | Based on Spiral-Transformation |
| Model-Fitting Approach to Cluster Validation with Application to Stochastic Model-Based Image | segmentation | , A |
| Model-Free | segmentation | and Grasp Selection of Unknown Stacked Objects |
| Model-Free Texture | segmentation | Based on Distances Between First-Order Statistics |
| Model-Guided | segmentation | and Layout Labelling of Document Images Using a Hierarchical Conditional Random Field |
| Model-Guided | segmentation | of 3D Neuroradiological Image Using Statistical Surface Wavelet Model |
| Model-guided | segmentation | of Corpus Callosum in MR Images |
| Model-Guided | segmentation | of Liver in CT and PET-CT Images of Child Patients Based on Statistical Region Merging |
| Model-Guided | segmentation | of Opacified Thorax Vessels |
| Model-Guided | segmentation | Using Quadtrees |
| Model-image registration of a building's facade based on dense semantic | segmentation | |
| Modeling 4D Human-Object Interactions for Joint Event | segmentation | , Recognition, and Object Localization |
| Modeling a parallelism constraint in active contours. Application to the | segmentation | of eye vessels and retinal layers |
| Modeling and | segmentation | of floating foreground and background in videos |
| Modeling Complex Scenes for Accurate Moving Objects | segmentation | |
| Modeling depth for nonparametric foreground | segmentation | using RGBD devices |
| Modeling Method for Automatic Extraction of Offshore Aquaculture Zones Based on Semantic | segmentation | , A |
| Modeling Motion with Multi-Modal Features for Text-Based Video | segmentation | |
| Modeling Prior Shape and Appearance Knowledge in Watershed | segmentation | |
| Modeling | segmentation | Via Geometric Deformable Regularizers, Pde And Level Sets In Still And Motion Imagery: A Revisit |
| Modeling structural dissimilarity based on shape embodiment for cell | segmentation | |
| Modeling the Background for Incremental and Weakly-Supervised Semantic | segmentation | |
| Modeling the Background for Incremental Learning in Semantic | segmentation | |
| Modeling transition patterns between events for temporal human action | segmentation | and classification |
| Modelling and | segmentation | of colour images in polar representations |
| Modelling and | segmentation | of lip area in face images |
| Modelling and | segmentation | of Noisy and Textured Images Using Gibbs Random Fields |
| Modelling Human | segmentation | Trough Color and Space Analysis |
| Modernized Training of U-Net for Aerial Semantic | segmentation | |
| Modification of Diffusion Distance for Clustering and Image | segmentation | , A |
| Modified 2-D Notch Filter Based on Image | segmentation | for RFI Mitigation in Synthetic Aperture Radar, A |
| modified capsule network algorithm for oct corneal image | segmentation | , A |
| modified contour following algorithm applied to document | segmentation | , A |
| modified Coye algorithm for retinal vessel | segmentation | , A |
| modified DeepLabV3+ based semantic | segmentation | of chest computed tomography images for COVID-19 lung infections, A |
| Modified Deterministic Annealing Algorithm for Robust Image | segmentation | , A |
| Modified Expectation Maximization Algorithm for MRI | segmentation | |
| Modified FCM with Optimal Peano Scans for Image | segmentation | , A |
| Modified Flower Pollination-based | segmentation | of Medical Images |
| modified fuzzy ART for image | segmentation | , A |
| modified fuzzy C-means algorithm for bias field estimation and | segmentation | of MRI data, A |
| Modified Fuzzy C-Means Algorithm for MR Brain Image | segmentation | , A |
| modified fuzzy c-means algorithm with adaptive spatial information for color image | segmentation | , A |
| modified fuzzy C-means image | segmentation | algorithm for use with uneven illumination patterns, A |
| Modified grabcut for unsupervised object | segmentation | |
| Modified Gradient Search for Level Set Based Image | segmentation | |
| Modified Hopfield Neural Network with Fuzzy C-Means Technique for Multispectral MR Image | segmentation | , A |
| Modified intelligent scissors and adaptive frame skipping for video object | segmentation | |
| modified interval type-2 fuzzy C-means algorithm with application in MR image | segmentation | , A |
| modified KLT multiple objects tracking framework based on global | segmentation | and adaptive template, A |
| Modified Level Set Approach for | segmentation | of Multiband Polarimetric SAR Images, A |
| Modified Superpixel | segmentation | for Digital Surface Model Refinement and Building Extraction from Satellite Stereo Imagery |
| modified support vector machine and its application to image | segmentation | , A |
| modified threshold score-based multilevel thresholding | segmentation | technique for brain magnetic resonance images using opposition-based learning hybrid rice optimization algorithm, A |
| Modified transform-based gamma correction for MRI tumor image denoising and | segmentation | by optimized histon-based elephant herding algorithm |
| Modified two-dimensional Otsu image | segmentation | algorithm and fast realisation |
| Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor | segmentation | in CT Images |
| Modified U-Net for cytological medical image | segmentation | |
| MODS: A USV-Oriented Object Detection and Obstacle | segmentation | Benchmark |
| modular approach to facial feature | segmentation | on real sequences, A |
| Modular Computer Vision System for Picture | segmentation | and Interpretation, A |
| Modular Computer Vision System for Picture | segmentation | , A |
| Modular Feedback System for Image | segmentation | , A |
| Modular Framework for 2D/3D and Multi-modal | segmentation | with Joint Super-Resolution, A |
| Modular Interactive Video Object | segmentation | : Interaction-to-Mask, Propagation and Difference-Aware Fusion |
| Modularity-Based Image | segmentation | |
| Modulation-feature based textured image | segmentation | using curve evolution |
| Moment based level set method for image | segmentation | |
| Moment-Based Texture | segmentation | |
| Momentum Based Optimization Methods for Level Set | segmentation | |
| MOMI-Co | segmentation | : Simultaneous Segmentation of Multiple Objects among Multiple Images |
| MoNet: Deep Motion Exploitation for Video Object | segmentation | |
| Mono is Enough: Instance | segmentation | from Single Annotated Sample |
| MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance | segmentation | |
| Monocular Object Instance | segmentation | and Depth Ordering with CNNs |
| Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic | segmentation | Prior |
| Monocular video foreground | segmentation | system |
| Monocular Video Foreground/Background | segmentation | by Tracking Spatial-Color Gaussian Mixture Models |
| MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic | segmentation | |
| Monoto nicity-preserving Operations and the Morphological Scale-Space Method for Image | segmentation | |
| Monte Carlo cluster refinement for noise robust image | segmentation | |
| MoNuSAC2020: A Multi-Organ Nuclei | segmentation | and Classification Challenge |
| Morphing active contours: a geometric approach to topology-independent image | segmentation | and tracking |
| Morphological analysis of spatio-temporal patterns for the | segmentation | of cyclic human activities |
| Morphological Approach for | segmentation | and Tracking of Human Faces, A |
| Morphological Approach for Text-Line | segmentation | in Handwritten Documents, A |
| Morphological Colour Image | segmentation | |
| Morphological Filtering and Hierarchical Deformation for Partially Overlapping Cell | segmentation | |
| Morphological geodesic active contour algorithm for the | segmentation | of the histogram-equalized welding bead image edges |
| Morphological hierarchical | segmentation | and color spaces |
| Morphological multiscale | segmentation | for image coding |
| Morphological postprocessing for object tracking and | segmentation | |
| Morphological Refinement of an Image | segmentation | |
| Morphological Residues and a General Framework for Image Filtering and | segmentation | |
| Morphological | segmentation | |
| Morphological | segmentation | and classification of underground pipe images |
| Morphological | segmentation | and Partial Volume Analysis for Volumetry of Solid Pulmonary Lesions in Thoracic CT Scans |
| Morphological | segmentation | Applied to Displaced Frame Difference Coding |
| Morphological | segmentation | of binary patterns |
| Morphological | segmentation | of building facade images |
| Morphological | segmentation | of Histology Cell Images |
| Morphological | segmentation | of sport scenes using color information |
| Morphological | segmentation | of yeast by image analysis |
| Morphological | segmentation | on learned boundaries |
| Morphological | segmentation | produces a Voronoi tesselation of the markers |
| Morphological spatio-temporal simplification for video image | segmentation | |
| Morphological Texture Features for Unsupervised and Supervised | segmentation | s of Natural Landscapes |
| Morphological Transformation for Sharpening Edges of Features before | segmentation | , A |
| Morphology Preserving | segmentation | Method for Occluded Cell Nuclei from Medical Microscopy Image |
| Morphology-based hierarchical representation with application to text | segmentation | in natural images |
| Morphology-Based Interslice Interpolation on Manual | segmentation | s of Joint Bones and Muscles in MRI |
| Morphology-Based Multifractal Estimation for Texture | segmentation | |
| Morphons: Paint on Priors and Elastic Canvas for | segmentation | and Registration |
| Morphons: | segmentation | Using Elastic Canvas and Paint on Priors |
| Morse operators for digital planar surfaces and their application to image | segmentation | |
| Morse-Theory Based Method for | segmentation | of Triangulated Freeform Surfaces, A |
| MOSE: A New Dataset for Video Object | segmentation | in Complex Scenes |
| MoT: Mixture of Trees Probabilistic Graphical Model for Video | segmentation | |
| Motion analysis and | segmentation | for object-oriented mid-level image representation |
| Motion analysis and | segmentation | through spatio-temporal slices processing |
| Motion analysis: Model selection and motion | segmentation | |
| Motion and Appearance Nonparametric Joint Entropy for Video | segmentation | |
| Motion and intensity-based | segmentation | and its application to traffice monitoring |
| Motion and region overlapping estimation for | segmentation | -based video coding |
| Motion and | segmentation | prediction in image sequences based on moving object tracking |
| Motion and Structure Based Image | segmentation | for Object-Oriented Time-Varying Sequences Coding |
| Motion and Structure Factorization and | segmentation | of Long Multiple Motion Image Sequences |
| Motion Based Analysis and | segmentation | of Image Sequences Using 3-D Scene Models |
| Motion Based Image | segmentation | for Video Coding |
| Motion Based Image | segmentation | with Unsupervised Bayesian Learning |
| Motion Based | segmentation | |
| Motion Based | segmentation | Using MPEG Streams and Watershed Method |
| Motion blur for motion | segmentation | |
| Motion compensation based on implicit block | segmentation | |
| Motion Competition: A Variational Approach to Piecewise Parametric Motion | segmentation | |
| Motion Competition: Variational Integration of Motion | segmentation | and Shape Regularization |
| Motion Detection and | segmentation | Using Image Mosaics |
| Motion estimation and figure-ground | segmentation | using log-polar images |
| Motion Estimation and | segmentation | |
| Motion Estimation and | segmentation | by Fuzzy Algorithms |
| Motion Estimation Computational Complexity Reduction With CNN Shape | segmentation | |
| Motion Estimation Using Region-Level | segmentation | and Extended Kalman Filter for Autonomous Driving |
| Motion estimation, | segmentation | and separation, using hypercomplex phase correlation, clustering techniques and graph-based optimization |
| Motion features to enhance scene | segmentation | in active visual attention |
| motion field reconstruction scheme for smooth boundary video object | segmentation | , A |
| Motion Field | segmentation | to Improve Moving Edges Reconstruction in Video Coding, A |
| Motion Image | segmentation | Using 3-d Watershed Algorithm |
| Motion image | segmentation | using global criteria and DP |
| Motion objects | segmentation | based on structural similarity background modelling |
| Motion Saliency Based Generative Adversarial Network for Underwater Moving Object | segmentation | |
| Motion | segmentation | and abnormal behavior detection via behavior clustering |
| Motion | segmentation | and activity representation in crowds |
| Motion | segmentation | and Depth Ordering Based on Morphological Segmentation |
| Motion | segmentation | and Depth Ordering Based on Morphological Segmentation |
| Motion | segmentation | and Depth Ordering Using an Occlusion Detector |
| Motion | segmentation | and estimation |
| Motion | segmentation | and Estimation by Constraint Line Filtering |
| Motion | segmentation | and Local Structure |
| Motion | segmentation | and Outlier Detection |
| Motion | segmentation | and Pose Recognition with Motion History Gradients |
| Motion | segmentation | and Qualitative Dynamic Scene Analysis from an Image Sequence |
| Motion | segmentation | and Tracking |
| Motion | segmentation | and Tracking Using Normalized Cuts |
| Motion | segmentation | and Tracking with Edge Relaxation and Optimization using Fully Parallel Methods in the Cellular Nonlinear Network Architecture |
| Motion | segmentation | at Any Speed |
| Motion | segmentation | based on Factorization Method and Discriminant Criterion |
| Motion | segmentation | Based on Perceptual Organization of Spatio-temporal Volumes |
| Motion | segmentation | by consensus |
| Motion | segmentation | by EM Clustering of Good Features |
| Motion | segmentation | by Exploiting Complementary Geometric Models |
| Motion | segmentation | by Fuzzy Clustering with Automatic Determination of the Number of Motions |
| Motion | segmentation | by Learning Homography Matrices from Motor Signals |
| Motion | segmentation | by Multibody Trifocal Tensor Using Line Correspondence |
| Motion | segmentation | by Multistage Affine Classification |
| Motion | segmentation | by SCC on the hopkins 155 database |
| Motion | segmentation | by Spatiotemporal Smoothness Using 5D Tensor Voting |
| Motion | segmentation | by Subspace Separation and Model Selection |
| Motion | segmentation | by Subspace Separation: Model Selection and Reliability Evaluation |
| Motion | segmentation | by Tracking Edge Information over Multiple Frames |
| Motion | segmentation | by Tracking, Trajectories, Region Based Tracking |
| Motion | segmentation | by Velocity Clustering with Estimation of Subspace Dimension |
| Motion | segmentation | for 3D Video Based on Spherical Registration |
| Motion | segmentation | for a Binocular Observer |
| Motion | segmentation | from Feature Trajectories with Missing Data |
| Motion | segmentation | in Long Image Sequences |
| Motion | segmentation | in the Presence of Outlying, Incomplete, or Corrupted Trajectories |
| Motion | segmentation | Multiple Object Tracking by Correlation Co-Clustering |
| Motion | segmentation | of Multiple Translating Objects Using Line Correspondences |
| Motion | segmentation | of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference |
| Motion | segmentation | of Truncated Signed Distance Function Based Volumetric Surfaces |
| Motion | segmentation | system with multi-frame hypothesis tracking |
| Motion | segmentation | Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues |
| Motion | segmentation | Using an Occlusion Detector |
| Motion | segmentation | Using Convergence Properties |
| Motion | segmentation | using curve fitting on Lagrangian particle trajectories |
| Motion | segmentation | Using Divisive Graph Cuts |
| Motion | segmentation | Using Feature Selection and Subspace Method Based on Shape Space |
| Motion | segmentation | Using Inference in Dynamic Bayesian Networks |
| Motion | segmentation | using occlusions |
| Motion | segmentation | Using Singular Value Decomposition |
| Motion | segmentation | Using Spectral Clustering on Indian Road Scenes |
| Motion | segmentation | using the Hadamard product and spectral clustering |
| Motion | segmentation | Via a Sparsity Constraint |
| Motion | segmentation | via Generalized Curvatures |
| Motion | segmentation | via overlapping temporal windows |
| Motion | segmentation | via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories |
| Motion | segmentation | via Synchronization |
| Motion | segmentation | with accurate boundaries: A tensor voting approach |
| Motion | segmentation | with Level Sets |
| Motion | segmentation | with missing data using powerfactorization and GPCA |
| Motion | segmentation | with occlusions on the superpixel graph |
| Motion | segmentation | with Pairwise Matches and Unknown Number of Motions |
| Motion | segmentation | with Weak Labeling Priors |
| Motion | segmentation | , Motion Saliency, Video Salience |
| Motion | segmentation | , Neural Networks, Learning |
| Motion | segmentation | , Object Extraction in Compressed Domains |
| Motion | segmentation | , Object Extraction, Evaluation, Survey |
| Motion | segmentation | : A Synergistic Approach |
| Motion Textures: Modeling, Classification, and | segmentation | Using Mixed-State Markov Random Fields |
| Motion Trajectory | segmentation | via Minimum Cost Multicuts |
| Motion U-Net: Multi-cue Encoder-Decoder Network for Motion | segmentation | |
| Motion-Appearance Interactive Encoding for Object | segmentation | in Unconstrained Videos |
| Motion-based background modeling for foreground | segmentation | |
| Motion-based easy initialization of online foreground | segmentation | |
| Motion-based figure-ground | segmentation | by maximum motion separation |
| Motion-Based Object | segmentation | and Estimation Using the MDL Principle |
| Motion-based object | segmentation | using frame alignment and consensus filtering |
| Motion-based object | segmentation | using hysteresis and bidirectional inter-frame change detection in sequences with moving camera |
| Motion-based | segmentation | and region tracking in image sequences |
| Motion-Based | segmentation | and Tracking of Dynamic Radar Clutters |
| Motion-based | segmentation | by means of active contours |
| Motion-Based | segmentation | of Chest and Abdomen Region of Neonates from Videos |
| Motion-Based | segmentation | of Image Sequences Using Orientation Tensors |
| Motion-based | segmentation | of objects using overlapping temporal windows |
| Motion-Based | segmentation | Using a Thresholded Merging Strategy on Watershed Segments |
| Motion-based Video | segmentation | Using Fuzzy Clustering and Classical Mixture Model |
| Motion-Coherent Affinities for Hypergraph Based Motion | segmentation | |
| Motion-Driven Approach for Fine-Grained Temporal | segmentation | of User-Generated Videos, A |
| Motion-Egomotion Discrimination and Motion | segmentation | from Image-Pair Streams |
| Motion-Guided Cascaded Refinement Network for Video Object | segmentation | |
| Motion-Guided Spatial Time Attention for Video Object | segmentation | |
| Motion-state Alignment for Video Semantic | segmentation | |
| Motion-supervised Co-Part | segmentation | |
| MOTS: Multi-Object Tracking and | segmentation | |
| Mountain Habitats | segmentation | and Change Detection Dataset, The |
| Mountain | segmentation | Based on Global Optimization with the Cloth Simulation Constraint |
| Mountain Vegetation Classification Method Based on Multi-Channel Semantic | segmentation | Model |
| MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural | segmentation | of Mouse Brain |
| Movement Primitive | segmentation | for Human Motion Modeling: A Framework for Analysis |
| MOVES: Manipulated Objects in Video Enable | segmentation | |
| Movie scene | segmentation | using background information |
| Movie | segmentation | into scenes and chapters using locally weighted bag of visual words |
| Moving Camera Moving Object | segmentation | in Compressed Video Sequences |
| Moving Cast Shadows | segmentation | Using Illumination Invariant Feature |
| Moving Object | segmentation | Based on Video Coding Information in H.264 Compressed Domain |
| Moving object | segmentation | by background subtraction and temporal analysis |
| Moving object | segmentation | for jittery videos, by clustering of stabilized latent trajectories |
| Moving object | segmentation | in Daubechies complex wavelet domain |
| Moving Object | segmentation | in the H.264 Compressed Domain |
| Moving object | segmentation | in video sequences by user interaction and automatic object tracking |
| Moving object | segmentation | using depth and optical flow in car driving sequences |
| Moving Object | segmentation | Using Improved Running Gaussian Average Background Model |
| Moving Object | segmentation | Using Motor Signals |
| Moving Object | segmentation | Using Optical Flow and Depth Information |
| Moving Object | segmentation | using Scene Understanding |
| Moving object | segmentation | using the 9/7-10/8 dual-tree complex filter bank |
| Moving Objects | segmentation | from compressed surveillance video based on Motion Estimation |
| Moving pedestrian detection based on motion | segmentation | |
| Moving Region | segmentation | From Compressed Video Using Global Motion Estimation and Markov Random Fields |
| Moving vehicles | segmentation | based on Bayesian framework for Gaussian motion model |
| Moving visual focus in salient object | segmentation | |
| Moving Window | segmentation | Framework for Point Clouds |
| Moving-object | segmentation | using a foreground history map |
| Moving-object | segmentation | with Adaptive Sprite for DCT-based Video Coder |
| MP-Former: Mask-Piloted Transformer for Image | segmentation | |
| MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd | segmentation | In Video Scenes |
| MPEG video object | segmentation | under camera motion and multimodal backgrounds |
| MPM-MAP Algorithm for Image | segmentation | , The |
| MPM-MAP algorithm for motion | segmentation | , The |
| MQANet: Multi-Task Quadruple Attention Network of Multi-Object Semantic | segmentation | from Remote Sensing Images |
| MR Brain Image | segmentation | Based on Unsupervised and Semi-Supervised Fuzzy Clustering Methods |
| MR Brain Image | segmentation | to Detect White Matter, Gray Matter, and Cerebro Spinal Fluid Using TLBO Algorithm |
| MR Brain Imaging | segmentation | Based On Spatial Gaussian Mixture Model And Markov Random Field |
| MR Brain Tissue | segmentation | Based on Clustering Techniques and Neural Network |
| MR image restoration and | segmentation | via denoising deep adversarial network for blood vessels accurate diagnosis |
| MR Image | segmentation | Using a Power Transformation Approach |
| MR images | segmentation | and bias correction via LIC model |
| MR-UNet: An UNet model using multi-scale and residual convolutions for retinal vessel | segmentation | |
| MRA data | segmentation | using level sets |
| MRC Compression of Compound Documents Using Threshold | segmentation | , Iterative Data-Filling and H.264/AVC-INTRA |
| MRF Based Image | segmentation | Augmented with Domain Specific Information |
| MRF clustering for | segmentation | of color images |
| MRF framework for joint registration and | segmentation | of natural and perfusion images, An |
| MRF Model Based Image | segmentation | Using Hierarchical Distributed Genetic Algorithm |
| MRF Model-Based Algorithms for Image | segmentation | |
| MRF Model-Based Method for Unsupervised Textured Image | segmentation | , An |
| MRF Model-Based | segmentation | Approach to Classification for Multispectral Imagery, A |
| MRF Model-Based | segmentation | of Range Images |
| MRF Models for | segmentation | |
| MRF-based algorithms for | segmentation | of SAR images |
| MRF-based image | segmentation | using Ant Colony System |
| MRF-based image | segmentation | with unsupervised model parameter estimation, An |
| MRF-based motion | segmentation | exploiting a 2D motion model robust estimation |
| MRF-based planar co- | segmentation | for depth compression |
| MRF-based | segmentation | and unsupervised classification for building and road detection in peri-urban areas of high-resolution satellite images |
| MRF-based texture | segmentation | using wavelet decomposed images |
| MRF-MAP-MFT visual object | segmentation | based on motion boundary field |
| MRF-motion | segmentation | Based on Dominant Motion Estimation and the Detection of Uncovered Regions |
| MRI brain image | segmentation | and bias field correction based on fast spatially constrained kernel clustering approach |
| MRI brain image | segmentation | for spotting tumors using improved mountain clustering approach |
| MRI brain | segmentation | in combination of clustering methods with Markov random field |
| MRI Brain | segmentation | Using Cellular Automaton Approach |
| MRI image | segmentation | based on fast global minimization of snake model |
| MRI | segmentation | of brain tissue based on spatial prior and neighboring pixels affinities |
| MRI-Based Medial Axis Extraction and Boundary | segmentation | of Cranial Nerves Through Discrete Deformable 3D Contour and Surface Models |
| MS lesions | segmentation | in 3D MR images using FCM and SVM |
| MS-Net: Multi-Site Network for Improving Prostate | segmentation | With Heterogeneous MRI Data |
| MS-RRFSegNet: Multiscale Regional Relation Feature | segmentation | Network for Semantic Segmentation of Urban Scene Point Clouds |
| MS-RRFSegNet: Multiscale Regional Relation Feature | segmentation | Network for Semantic Segmentation of Urban Scene Point Clouds |
| MS-TCN++: Multi-Stage Temporal Convolutional Network for Action | segmentation | |
| MS-TCN: Multi-Stage Temporal Convolutional Network for Action | segmentation | |
| MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud | segmentation | in Remote Sensing Images |
| MS4D-Net: Multitask-Based Semi-Supervised Semantic | segmentation | Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery |
| MSCA-Net: Multi-scale contextual attention network for skin lesion | segmentation | |
| MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic | segmentation | |
| MSDESIS: Multitask Stereo Disparity Estimation and Surgical Instrument | segmentation | |
| MSeg3D: Multi-Modal 3D Semantic | segmentation | for Autonomous Driving |
| MSeg: A Composite Dataset for Multi-Domain Semantic | segmentation | |
| MSFANet: Multiscale Fusion Attention Network for Road | segmentation | of Multispectral Remote Sensing Data |
| MSFD: Multi-Scale | segmentation | -Based Feature Detection for Wide-Baseline Scene Reconstruction |
| MSI: Maximize Support-Set Information for Few-Shot | segmentation | |
| MSIDA-Net: Point Cloud Semantic | segmentation | via Multi-Spatial Information and Dual Adaptive Blocks |
| MSINet: Mining scale information from digital surface models for semantic | segmentation | of aerial images |
| MsLRR: A Unified Multiscale Low-Rank Representation for Image | segmentation | |
| MSNet: A Multilevel Instance | segmentation | Network for Natural Disaster Damage Assessment in Aerial Videos |
| MSNet: Multifunctional Feature-Sharing Network for Land-Cover | segmentation | |
| MsTGANet: Automatic Drusen | segmentation | From Retinal OCT Images |
| MsVRL: Self-Supervised Multiscale Visual Representation Learning via Cross-Level Consistency for Medical Image | segmentation | |
| MTANet: Multi-Task Attention Network for Automatic Medical Image | segmentation | and Classification |
| MTFD-Net: Left atrium | segmentation | in CT images through fractal dimension estimation |
| MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung Nodule | segmentation | |
| MTLSegFormer: Multi-task Learning with Transformers for Semantic | segmentation | in Precision Agriculture |
| Multi camera person tracking applying a graph-cuts based foreground | segmentation | in a homography framework |
| Multi parallel U-net encoder network for effective polyp image | segmentation | |
| Multi Projection Fusion for Real-time Semantic | segmentation | of 3D LiDAR Point Clouds |
| Multi Receptive Field Network for Semantic | segmentation | |
| Multi-agent Approach for Range Image | segmentation | with Bayesian Edge Regularization, A |
| Multi-agent | segmentation | of IVUS images |
| Multi-agent stochastic level set method in image | segmentation | |
| Multi-agent system for moving object | segmentation | and tracking |
| Multi-agents system for breast tumour detection in mammography by deep learning pre-processing and watershed | segmentation | |
| Multi-Anchor Active Domain Adaptation for Semantic | segmentation | |
| Multi-Aspect Rating Inference with Aspect-Based | segmentation | |
| Multi-atlas Based | segmentation | of Corpus Callosum on MRIs of Multiple Sclerosis Patients |
| Multi-atlas Context Forests for Knee MR Image | segmentation | |
| Multi-Atlas Image Soft | segmentation | via Computation of the Expected Label Value |
| Multi-atlas | segmentation | and correction model with level set formulation for 3D brain MR images |
| Multi-atlas | segmentation | and Landmark Localization in Images with Large Field of View |
| Multi-Atlas | segmentation | of MR Tumor Brain Images Using Low-Rank Based Image Recovery |
| Multi-Atlas | segmentation | Using Partially Annotated Data: Methods and Annotation Strategies |
| Multi-Atlas | segmentation | with Joint Label Fusion |
| Multi-atlas | segmentation | with Learning-Based Label Fusion |
| Multi-Atlas-Based | segmentation | Framework for Prostate Brachytherapy, A |
| Multi-Atlas-Based | segmentation | With Local Decision Fusion: Application to Cardiac and Aortic Segmentation in CT Scans |
| Multi-Atlas-Based | segmentation | With Local Decision Fusion: Application to Cardiac and Aortic Segmentation in CT Scans |
| Multi-Attention Network for Unsupervised Video Object | segmentation | |
| multi-band approach to unsupervised scale parameter selection for multi-scale image | segmentation | , A |
| Multi-band | segmentation | using morphological clustering and fusion: application to color image segmentation |
| Multi-band | segmentation | using morphological clustering and fusion: application to color image segmentation |
| Multi-bands Image | segmentation | : A Scalar Approach |
| Multi-body | segmentation | and Motion Number Estimation via Over-Segmentation Detection |
| Multi-body | segmentation | and Motion Number Estimation via Over-Segmentation Detection |
| Multi-branch residual image semantic | segmentation | combined with inverse weight gated-control |
| Multi-branch | segmentation | -guided Attention Network for crowd counting |
| Multi-Branch U-Net for Interactive | segmentation | |
| Multi-camera Tracking and | segmentation | of Occluded People on Ground Plane Using Search-Guided Particle Filtering |
| Multi-Category | segmentation | of Sentinel-2 Images Based on the Swin UNet Method |
| Multi-Center MRI Carotid Plaque Component | segmentation | Using Feature Normalization and Transfer Learning |
| multi-center study of ultrasound images using a fully automated | segmentation | architecture, A |
| Multi-Centre, Multi-Vendor and Multi-Disease Cardiac | segmentation | : The M &Ms Challenge |
| Multi-Channel Filtering Approach to Texture | segmentation | , A |
| Multi-channel Filtering Methods for | segmentation | of Color Images |
| Multi-class Cell | segmentation | Using CNNs with F1-measure Loss Function |
| Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object | segmentation | |
| multi-class COVID-19 | segmentation | network with pyramid attention and edge loss in CT images, A |
| Multi-Class Image Labeling with Top-Down | segmentation | and Generalized Robust P^N Potentials |
| Multi-class indoor semantic | segmentation | with deep structured model |
| Multi-Class Multi-Scale Series Contextual Model for Image | segmentation | |
| Multi-class Probabilistic Atlas-Based | segmentation | Method in Breast MRI |
| Multi-class | segmentation | based on generalized fuzzy gibbs random fields |
| Multi-Class | segmentation | from Aerial Views using Recursive Noise Diffusion |
| Multi-class | segmentation | of free-form online documents with tree conditional random fields |
| Multi-Class | segmentation | with Relative Location Prior |
| Multi-class semantic | segmentation | of faces |
| Multi-class Semantic | segmentation | of Tooth Pathologies and Anatomical Structures on Bitewing and Periapical Radiographs |
| Multi-class Semantic Video | segmentation | with Exemplar-Based Object Reasoning |
| Multi-Class Simultaneous Adaptive | segmentation | and Quality Control of Point Cloud Data |
| Multi-class Token Transformer for Weakly Supervised Semantic | segmentation | |
| Multi-class Video Co- | segmentation | with a Generative Multi-video Model |
| Multi-classifier framework for atlas-based image | segmentation | |
| multi-compartment | segmentation | framework with homeomorphic level sets, A |
| Multi-component image | segmentation | in homogeneous regions based on description length minimization: Application to speckle, Poisson and Bernoulli noise |
| Multi-component image | segmentation | using a hybrid dynamic genetic algorithm and fuzzy C-means |
| Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image | segmentation | |
| Multi-cue Structure Preserving MRF for Unconstrained Video | segmentation | |
| Multi-cue-Based Crowd | segmentation | in Stereo Vision |
| Multi-dimensional Color Histograms for | segmentation | of Wounds in Images |
| Multi-dimensional Medical Image | segmentation | with Partial Volume and Gradient Modelling |
| Multi-Direction Convolution for Semantic | segmentation | |
| multi-direction GVF snake for the | segmentation | of skin cancer images, A |
| Multi-directional feature refinement network for real-time semantic | segmentation | in urban street scenes |
| Multi-Domain Incremental Learning for Semantic | segmentation | |
| Multi-domain semantic | segmentation | with overlapping labels * |
| Multi-domain, higher order level set scheme for 3D image | segmentation | on the GPU |
| Multi-Encoder Parse-Decoder Network for Sequential Medical Image | segmentation | |
| Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic | segmentation | Based on Weakly Supervised Learning |
| Multi-Exit Semantic | segmentation | Networks |
| Multi-Feature Aggregation for Semantic | segmentation | of an Urban Scene Point Cloud |
| Multi-feature Analysis and Classification of Human Chromosome Images Using Centromere | segmentation | Algorithms |
| multi-feature bipartite graph ensemble for image | segmentation | , A |
| Multi-feature fusion of deep networks for mitosis | segmentation | in histological images |
| Multi-feature gradient vector flow snakes for adaptive | segmentation | of the ultrasound images of breast cancer |
| Multi-Feature Guided Brain Tumor | segmentation | Based on Magnetic Resonance Images |
| Multi-Feature | segmentation | for High-Resolution Polarimetric SAR Data Based on Fractal Net Evolution Approach |
| Multi-Field Context Fusion Network for Semantic | segmentation | of High-Spatial-Resolution Remote Sensing Images |
| Multi-frame Motion | segmentation | by Combining Two-Frame Results |
| Multi-frame Recurrent Adversarial Network for Moving Object | segmentation | |
| Multi-Frame, Region-Feature Based Technique for Motion | segmentation | , A |
| Multi-grained Temporal Prototype Learning for Few-shot Video Object | segmentation | |
| Multi-Grained Temporal | segmentation | Attention Modeling for Skeleton-Based Action Recognition |
| multi-grained unsupervised domain adaptation approach for semantic | segmentation | , A |
| Multi-Granularity Context Network for Efficient Video Semantic | segmentation | |
| Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic | segmentation | |
| Multi-granularity Distillation Scheme Towards Lightweight Semi-supervised Semantic | segmentation | |
| Multi-granularity Interaction Simulation for Unsupervised Interactive | segmentation | |
| Multi-Grid Phase Field Skin Tumor | segmentation | in 3D Ultrasound Images |
| Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic | segmentation | |
| Multi-histogram Clustering Approach Toward Markov Random Field For Foreground | segmentation | , A |
| Multi-hypothesis contextual modeling for semantic | segmentation | |
| Multi-image | segmentation | : A Collaborative Approach Based on Binary Partition Trees |
| Multi-instance Object | segmentation | with Exemplars |
| Multi-instance object | segmentation | with occlusion handling |
| Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and | segmentation | |
| Multi-Kernel Implicit Curve Evolution for Selected Texture Region | segmentation | in VHR Satellite Images |
| Multi-Kernel Local Level Set Image | segmentation | Algorithm for Fluorescence Microscopy Images, A |
| Multi-kernel SVM based classification for brain tumor | segmentation | of MRI multi-sequence |
| Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel | segmentation | |
| multi-label front propagation approach for object | segmentation | , A |
| Multi-label image | segmentation | via max-sum solver |
| Multi-label image | segmentation | via point-wise repetition |
| Multi-label propagation for coherent video | segmentation | and artistic stylization |
| Multi-layer graph constraints for interactive image | segmentation | via game theory |
| Multi-Layer MRF Model for Video Object | segmentation | , A |
| Multi-layer random walker image | segmentation | for overlapped cervical cells using probabilistic deep learning methods |
| Multi-layer Spectral Clustering for Video | segmentation | |
| Multi-Layer Surface | segmentation | Using Energy Minimization |
| Multi-layered self-attention mechanism for weakly supervised semantic | segmentation | |
| Multi-level Activation for | segmentation | of Hierarchically-Nested Classes |
| Multi-level adversarial network for domain adaptive semantic | segmentation | |
| Multi-Level Attention Interactive Network for Cloud and Snow Detection | segmentation | |
| Multi-Level Contour | segmentation | Using Multiple Segmentation Primitives |
| Multi-Level Contour | segmentation | Using Multiple Segmentation Primitives |
| Multi-level dilated convolutional neural network for brain tumour | segmentation | and multi-view-based radiomics for overall survival prediction |
| Multi-level inference by relaxed dual decomposition for human pose | segmentation | |
| Multi-level Low-rank Approximation-based Spectral Clustering for image | segmentation | |
| Multi-Level Representation Learning with Semantic Alignment for Referring Video Object | segmentation | |
| Multi-level, Multi-Scale | segmentation | and Smoothing Methods |
| Multi-manifold-based skin classifier on feature space Voronoi regions for skin | segmentation | |
| Multi-modal abnormality detection in video with unknown data | segmentation | |
| Multi-modal brain tumor image | segmentation | based on SDAE |
| Multi-modal Brain Tumor | segmentation | Using Cascaded 3D U-Net |
| Multi-modal brain tumor | segmentation | via disentangled representation learning and region-aware contrastive learning |
| Multi-Modal Co-Learning for Liver Lesion | segmentation | on PET-CT Images |
| Multi-modal Complete Breast | segmentation | |
| Multi-Modal Continual Test-Time Adaptation for 3D Semantic | segmentation | |
| Multi-modal Learning from Unpaired Images: Application to Multi-organ | segmentation | in CT and MRI |
| Multi-Modal Mutual Attention and Iterative Interaction for Referring Image | segmentation | |
| Multi-modal RGB-Depth-Thermal Human Body | segmentation | |
| Multi-Modal | segmentation | Using Markov Random Fields |
| Multi-modal semantic image | segmentation | |
| Multi-Modal Tumor | segmentation | With Deformable Aggregation and Uncertain Region Inpainting |
| Multi-modal unsupervised domain adaptation for semantic image | segmentation | |
| Multi-Modality Feature Transform: An Interactive Image | segmentation | Approach |
| Multi-Modality Fusion and Gated Multi-Filter U-Net for Water Area | segmentation | in Remote Sensing, A |
| Multi-Motion | segmentation | via Co-Attention-Induced Heterogeneous Model Fitting |
| Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion | segmentation | |
| Multi-net System Configuration for Visual Object | segmentation | by Error Backpropagation |
| Multi-object Convexity Shape Prior for | segmentation | |
| Multi-object Graph-based | segmentation | with Non-overlapping Surfaces |
| multi-object image | segmentation | C-V model based on region division and gradient guide, A |
| Multi-object | segmentation | by stereo mismatch |
| Multi-object | segmentation | in a Projection Plane Using Subtraction Stereo |
| Multi-Object | segmentation | in Complex Urban Scenes from High-Resolution Remote Sensing Data |
| Multi-object | segmentation | with Coupled Deformable Models |
| Multi-Object Tracking and | segmentation | Via Neural Message Passing |
| multi-objective approach based on TOPSIS to solve the image | segmentation | combination problem, A |
| Multi-Objective Decision Making Approach for Solving the Image | segmentation | Fusion Problem, A |
| Multi-Objective Semantic | segmentation | Algorithm Based on Improved U-Net Networks, A |
| Multi-Organ Nucleus | segmentation | Challenge, A |
| Multi-organ | segmentation | by minimization of higher-order energy for CT boundary |
| Multi-organ | segmentation | of Chest CT Images in Radiation Oncology: Comparison of Standard and Dilated UNet |
| Multi-Organ | segmentation | Over Partially Labeled Datasets With Multi-Scale Feature Abstraction |
| Multi-Oriented and Multi-Sized Touching Character | segmentation | Using Dynamic Programming |
| Multi-oriented Scene Text Detection via Corner Localization and Region | segmentation | |
| Multi-oriented touching text character | segmentation | in graphical documents using dynamic programming |
| Multi-part body | segmentation | based on depth maps for soft biometry analysis |
| Multi-Part Modeling and | segmentation | of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation |
| Multi-part | segmentation | for porcine offal inspection with auto-context and adaptive atlases |
| Multi-Pass Fast Watershed for Accurate | segmentation | of Overlapping Cervical Cells |
| Multi-path connected network for medical image | segmentation | |
| Multi-Path Region Mining for Weakly Supervised 3D Semantic | segmentation | on Point Clouds |
| Multi-Person Tracking with Sparse Detection and Continuous | segmentation | |
| Multi-Phase Camera-LiDAR Fusion Network for 3D Semantic | segmentation | With Weak Supervision, A |
| Multi-phase image | segmentation | with the adaptive deformable mesh |
| Multi-planar 3D knee MRI | segmentation | via UNet inspired architectures |
| multi-plane approach for text | segmentation | of complex document images, A |
| Multi-polarity text | segmentation | using graph theory |
| Multi-Pooling Context Network for Image Semantic | segmentation | |
| Multi-projection deep learning network for | segmentation | of 3D medical images |
| Multi-Queue Merging Scheme And Its Application in Arabic Script | segmentation | |
| Multi-region saliency-aware learning for cross-domain placenta image | segmentation | |
| Multi-Region | segmentation | Method for SAR Images Based on the Multi-Texture Model With Level Sets, A |
| multi-resolution based approach for handwriting | segmentation | in gray-scale images, A |
| Multi-Resolution Feature Reduction Technique for Image | segmentation | with Multiple Components, A |
| Multi-resolution Fusion Model Incorporating Color And Elevation For Semantic | segmentation | , A |
| Multi-resolution level set image | segmentation | using wavelets |
| Multi-Resolution Pixel Linking for Image Smoothing and | segmentation | |
| Multi-Resolution | segmentation | of Solar Photovoltaic Systems Using Deep Learning |
| Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh | segmentation | and Surface Alignment Problems |
| Multi-Resolution Supervision Network with an Adaptive Weighted Loss for Desert | segmentation | |
| Multi-Resolution Transformer Network for Building and Road | segmentation | of Remote Sensing Image |
| Multi-Resolutional Ensemble of Stacked Dilated U-Net for Inner Cell Mass | segmentation | in Human Embryonic Images |
| Multi-Scale 3D U-Nets: An approach to automatic | segmentation | of brain tumor |
| Multi-scale Adaptive Feature Fusion Network for Semantic | segmentation | in Remote Sensing Images |
| Multi-Scale and Context-Aware Framework for Flood | segmentation | in Post-Disaster High Resolution Aerial Images |
| Multi-scale and Cross-scale Contrastive Learning for Semantic | segmentation | |
| Multi-Scale and Occlusion Aware Network for Vehicle Detection and | segmentation | on UAV Aerial Images |
| Multi-Scale Attentive Aggregation for LiDAR Point Cloud | segmentation | |
| Multi-scale B-spline level set | segmentation | based on Gaussian kernel equalization |
| Multi-Scale Cell | segmentation | Method for Detecting Hematological Disorders, A |
| Multi-scale Clustering of Frame-to-Frame Correspondences for Motion | segmentation | |
| Multi-scale CNN for Affordance | segmentation | in RGB Images, A |
| Multi-scale Colorectal Tumour | segmentation | Using a Novel Coarse to Fine Strategy |
| Multi-Scale Context Aggregation for Semantic | segmentation | of Remote Sensing Images |
| Multi-scale context for scene labeling via flexible | segmentation | graph |
| Multi-scale Context Intertwining for Semantic | segmentation | |
| Multi-Scale Contour | segmentation | |
| Multi-Scale Contourlet Knowledge Guide Learning | segmentation | |
| Multi-Scale Depthwise Separable Convolution for Semantic | segmentation | in Street-Road Scenes |
| Multi-scale FCN with Cascaded Instance Aware | segmentation | for Arbitrary Oriented Word Spotting in the Wild |
| Multi-Scale Feature Aggregation Network for Semantic | segmentation | of Land Cover |
| Multi-Scale Feature Aggregation Network for Water Area | segmentation | |
| Multi-scale feature fusion network with local attention for lung | segmentation | |
| Multi-Scale Feature Pyramid Network for Detection and Instance | segmentation | of Marine Ships in SAR Images, A |
| Multi-scale features and attention guided for brain tumor | segmentation | |
| Multi-scale Features for Detection and | segmentation | of Rocks in Mars Images |
| Multi-scale Fully Convolutional DenseNets for Automated Skin Lesion | segmentation | in Dermoscopy Images |
| Multi-Scale Fusion With Matching Attention Model: A Novel Decoding Network Cooperated With NAS for Real-Time Semantic | segmentation | |
| Multi-scale Gaussian Difference Preprocessing and Dual Stream CNN-transformer Hybrid Network for Skin Lesion | segmentation | |
| Multi-scale Gradient Approach for Color-based Morphological | segmentation | , A |
| Multi-scale gradient magnitude watershed | segmentation | |
| Multi-Scale Gridded Gabor Attention for Cirrus | segmentation | |
| Multi-Scale High-Resolution Vision Transformer for Semantic | segmentation | |
| Multi-scale Image | segmentation | Using MSER |
| multi-scale level set method based on local features for | segmentation | of images with intensity inhomogeneity, A |
| Multi-Scale Line Filter with Automatic Scale Selection Based on the Hessian Matrix for Medical Image | segmentation | , A |
| Multi-scale Multi-task Distillation for Incremental 3d Medical Image | segmentation | |
| Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud | segmentation | |
| Multi-scale network for remote sensing | segmentation | |
| Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic | segmentation | |
| Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and | segmentation | |
| Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and | segmentation | |
| Multi-Scale Pathological Fluid | segmentation | in OCT With a Novel Curvature Loss in Convolutional Neural Network |
| multi-scale perceptual polyp | segmentation | network based on boundary guidance, A |
| Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object | segmentation | From LiDAR Point Clouds in Large-Scale Environments |
| Multi-Scale Regularized Deep Network for Retinal Vessel | segmentation | |
| Multi-Scale Residual Deep Network for Semantic | segmentation | of Buildings with Regularizer of Shape Representation |
| Multi-Scale | segmentation | and Surface Fitting for Measuring 3-D Macular Holes |
| Multi-scale | segmentation | Approach to Mapping Seagrass Habitats Using Airborne Digital Camera Imagery, A |
| Multi-scale | segmentation | for remote sensing imagery based on minimum heterogeneity rule |
| Multi-scale | segmentation | of High Resolution Remote Sensing Images By Integrating Multiple Features |
| Multi-Scale Semantic | segmentation | and Spatial Relationship Recognition of Remote Sensing Images Based on an Attention Model |
| Multi-scale Semantic | segmentation | Enriched Features for Pedestrian Detection |
| Multi-scale sequential network for semantic text | segmentation | and localization |
| Multi-Scale Similarity Guidance Few-Shot Network for Ship | segmentation | in SAR Images |
| Multi-scale Spatial Location Preference for Semantic | segmentation | |
| Multi-scale techniques for document page | segmentation | |
| Multi-scale Text Line | segmentation | Method in Freestyle Handwritten Documents, A |
| Multi-Scale Voxel Class Balanced ASPP for LIDAR Pointcloud Semantic | segmentation | |
| Multi-Scale, Pyramid Texture | segmentation | Approaches |
| Multi-scan | segmentation | of terrestrial laser scanning data based on normal variation analysis |
| Multi-sensor Fusion Using Dempster's Theory of Evidence for Video | segmentation | |
| Multi-similarity based hyperrelation network for few-shot | segmentation | |
| Multi-Site Infant Brain | segmentation | Algorithms: The iSeg-2019 Challenge |
| Multi-Source Domain Adaptation for Medical Image | segmentation | |
| Multi-Source Domain Adaptation with Collaborative Learning for Semantic | segmentation | |
| Multi-source heterogeneous iris | segmentation | method based on lightweight convolutional neural network |
| Multi-Species Individual Tree | segmentation | and Identification Based on Improved Mask R-CNN and UAV Imagery in Mixed Forests |
| Multi-Spectral Based Cell | segmentation | and Analysis |
| Multi-spectral Texture Characterisation for Remote Sensing Image | segmentation | |
| Multi-spectral Texture | segmentation | Based on the Spectral Cooccurrence Matrix |
| Multi-stage Approach for 3D Teeth | segmentation | from Dentition Surfaces, A |
| Multi-stage Fusion for One-Click | segmentation | |
| Multi-stage Image | segmentation | Framework for Human Detection in Mid Wave Infra-Red (MWIR) Imagery, A |
| Multi-Stage Pathological Image Classification Using Semantic | segmentation | |
| Multi-Stage Semantic | segmentation | Quantifies Fragmentation of Small Habitats at a Landscape Scale |
| Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal | segmentation | and anomaly localization |
| Multi-stage Visible Wavelength and Near Infrared Iris | segmentation | Framework |
| Multi-step Machine Learning Approach for Short Axis MR Images | segmentation | , A |
| Multi-step radiographic image enhancement conforming to weld defect | segmentation | |
| Multi-STEPS: Multi-label similarity and truth estimation for propagated | segmentation | s |
| multi-strategy contrastive learning framework for weakly supervised semantic | segmentation | , A |
| Multi-stream densely connected network for semantic | segmentation | |
| Multi-structure Atlas-Based | segmentation | Using Anatomical Regions of Interest |
| Multi-style License Plate Recognition System Based on Tree of Shapes for Character | segmentation | , A |
| Multi-style transfer and fusion of image's regions based on attention mechanism and instance | segmentation | |
| Multi-Surface and Multi-Field Co- | segmentation | of 3-D Retinal Optical Coherence Tomography |
| Multi-Swin Mask Transformer for Instance | segmentation | of Agricultural Field Extraction |
| Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic | segmentation | |
| Multi-Target Pan-Class Intrinsic Relevance Driven Model for Improving Semantic | segmentation | in Autonomous Driving |
| Multi-target Tracking and | segmentation | via Discriminative Appearance Model |
| Multi-Task Collaborative Network for Joint Referring Expression Comprehension and | segmentation | |
| Multi-task Contextual Atrous Residual Network for Brain Tumor Detection | segmentation | , A |
| Multi-Task Convolutional Neural Network for Patient Detection and Skin | segmentation | in Continuous Non-Contact Vital Sign Monitoring |
| Multi-Task Convolutional Neural Network for Renal Tumor | segmentation | and Classification Using Multi-Phasic CT Images, A |
| Multi-Task Deep Learning for Image | segmentation | Using Recursive Approximation Tasks |
| Multi-Task Learning Approach for Human Activity | segmentation | and Ergonomics Risk Assessment, A |
| Multi-Task Learning for | segmentation | of Building Footprints with Deep Neural Networks |
| Multi-Task Learning of Relative Height Estimation and Semantic | segmentation | from Single Airborne RGB Images |
| Multi-task low-rank affinity pursuit for image | segmentation | |
| Multi-Task low-rank and sparse matrix recovery for human motion | segmentation | |
| Multi-Task Semantic | segmentation | Network for Threat Detection in X-Ray Security Images, A |
| Multi-Temporal Network for Improving Semantic | segmentation | of Large-Scale Landsat Imagery, A |
| Multi-Threshold | segmentation | for Tree-Level Parameter Extraction in a Deciduous Forest Using Small-Footprint Airborne LiDAR Data, A |
| Multi-Thresholding | segmentation | and Contour Tracing of ACF Surface Image |
| Multi-view face | segmentation | using fusion of statistical shape and appearance models |
| Multi-view Object | segmentation | in Space and Time |
| Multi-View Radar Semantic | segmentation | |
| Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic | segmentation | |
| Multi-view Semantic Information Guidance for Light Field Image | segmentation | |
| Multi-View Spatial Aggregation Framework for Joint Localization and | segmentation | of Organs at Risk in Head and Neck CT Images |
| Multi-view Spectral Polarization Propagation for Video Glass | segmentation | |
| Multi-view video based multiple objects | segmentation | using graph cut and spatiotemporal projections |
| Multi-Year Crop Type Mapping Using Sentinel-2 Imagery and Deep Semantic | segmentation | Algorithm in the Hetao Irrigation District in China |
| multiagent system approach for image | segmentation | using genetic algorithms and extremal optimization heuristics, A |
| Multiatlas | segmentation | as Nonparametric Regression |
| Multiatlas-based | segmentation | of female pelvic organs: Application for computer-aided diagnosis of cervical cancer |
| Multiband Image | segmentation | and Object Recognition for Understanding Road Scenes |
| Multiband image | segmentation | and object recognition using texture filter banks |
| Multiband | segmentation | based on a hierarchical Markov model |
| Multibody motion | segmentation | based on simulated annealing |
| Multibody Motion | segmentation | Using the Geometry of 6 Points in 2D Images |
| Multibody Structure-and-Motion | segmentation | by Branch-and-Bound Model Selection |
| Multibody Trifocal Tensor: Motion | segmentation | from 3 Perspective Views, The |
| MultiBodySync: Multi-Body | segmentation | and Motion Estimation via 3D Scan Synchronization |
| Multibranch Unsupervised Domain Adaptation Network for Cross Multidomain Orchard Area | segmentation | |
| Multichannel Edge-Weighted Centroidal Voronoi Tessellation algorithm for 3D super-alloy image | segmentation | , A |
| Multichannel filtering for image texture | segmentation | |
| Multichannel Markov Random Field Framework for Tumor | segmentation | With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk, A |
| Multichannel | segmentation | of magnetic resonance cerebral images based on neural networks |
| Multichannel | segmentation | Using Contour Relaxation: Fast Super-Pixels and Temporal Propagation |
| Multichannel Semantic | segmentation | with Unsupervised Domain Adaptation |
| Multichannel Texture | segmentation | Using Bamberger Pyramids |
| multichannel watershed-based algorithm for supervised texture | segmentation | , A |
| Multichannel Watershed-Based | segmentation | Method for Multispectral Chromosome Classification, A |
| Multiclass Data | segmentation | Using Diffuse Interface Methods on Graphs |
| Multiclass semantic video | segmentation | with object-level active inference |
| Multiclass Weighted Loss for Instance | segmentation | of Cluttered Cells |
| Multicolor image | segmentation | using Ambrosio-Tortorelli approximation |
| Multicomponent Image | segmentation | Framework, A |
| Multicue Graph Mincut for Image | segmentation | |
| Multicue MRF image | segmentation | : combining texture and color features |
| Multicue-Based Crowd | segmentation | Using Appearance and Motion |
| Multidimensional Motion | segmentation | and Identification |
| Multidimensional particle swarm optimization-based unsupervised planar | segmentation | algorithm of unorganized point clouds |
| Multiencoder-based federated intelligent deep learning model for brain tumor | segmentation | |
| Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI | segmentation | |
| Multifeature-based medical image | segmentation | |
| Multifocus image fusion using region | segmentation | and spatial frequency |
| Multifractal Characterization of Texture-based | segmentation | |
| Multifractal signature estimation for textured image | segmentation | |
| Multifractal-based texture | segmentation | using variational procedure |
| Multiframe Motion | segmentation | via Penalized Map Estimation and Linear Programming |
| Multiframe Motion | segmentation | with Missing Data Using PowerFactorization and GPCA |
| Multigranularity Multiclass-Layer Markov Random Field Model for Semantic | segmentation | of Remote Sensing Images |
| Multigrid MRF based picture | segmentation | with cellular neural networks |
| Multihypothesis Prior for | segmentation | of Stereo Disparity |
| Multilabel Random Walker Image | segmentation | Using Prior Models |
| Multilabel statistical shape prior for image | segmentation | |
| Multilayer Encoder-Decoder Network for 3D Nuclear | segmentation | in Spheroid Models of Human Mammary Epithelial Cell Lines |
| Multilayer graph cuts based unsupervised color-texture image | segmentation | using multivariate mixed student's t-distribution and regional credibility merging |
| Multilayer Joint | segmentation | Using MRF and Graph Cuts |
| Multilayer Self-Organizing Feature Map for Range Image | segmentation | , A |
| multilevel automatic thresholding method based on a genetic algorithm for a fast image | segmentation | , A |
| Multilevel Banded Graph Cuts Method for Fast Image | segmentation | , A |
| Multilevel GMRF-based | segmentation | of image sequences |
| Multilevel Graph Cuts Based Image | segmentation | |
| Multilevel Image | segmentation | Based on Fractional-Order Darwinian Particle Swarm Optimization |
| Multilevel Model for Video Object | segmentation | Based on Supervision Optimization |
| multilevel self-attention based | segmentation | and classification technique using Directional Hexagonal Mixed Pattern algorithm for lung nodule detection in thoracic CT image, A |
| Multilevel Spectral Partitioning for Efficient Image | segmentation | and Tracking |
| Multilevel Text-Line | segmentation | Framework for Handwritten Historical Documents, A |
| Multilevel Thresholding Color Image | segmentation | Using a Modified Artificial Bee Colony Algorithm |
| Multilevel thresholding for image | segmentation | through a fast statistical recursive algorithm |
| Multilingual signature-verification by generalized combined | segmentation | verification |
| Multimodal Analysis for Identification and | segmentation | of Moving-Sounding Objects |
| Multimodal and Multitemporal Land Use/Land Cover Semantic | segmentation | on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset |
| Multimodal Brain Tumor Image | segmentation | Benchmark (BRATS), The |
| Multimodal Brain Tumor | segmentation | Boosted by Monomodal Normal Brain Images |
| Multimodal Brain Tumor | segmentation | Using Encoder-decoder with Hierarchical Separable Convolution |
| Multimodal Evaluation for Medical Image | segmentation | |
| Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image | segmentation | |
| Multimodal High Level Video | segmentation | for Content Targeted Online Advertising, A |
| Multimodal Image Registration Through Simultaneous | segmentation | |
| Multimodal Image | segmentation | Using a Modified Hopfield Neural Network |
| Multimodal imaging: modelling and | segmentation | with biomedical applications |
| Multimodal Material | segmentation | |
| Multimodal Motion Estimation and | segmentation | Using Markov Random Fields |
| Multimodal Neural Networks: RGB-D for Semantic | segmentation | and Object Detection |
| Multimodal Range Image | segmentation | by Curve Grouping |
| Multimodal Reconstruction and | segmentation | with Markov Random Fields and HCF Optimization |
| Multimodal Remote Sensing Image | segmentation | With Intuition-Inspired Hypergraph Modeling |
| Multimodal Retinal Vessel | segmentation | From Spectral-Domain Optical Coherence Tomography and Fundus Photography |
| Multimodal Scheme for Program | segmentation | and Representation in Broadcast Video Streams, A |
| Multimodal | segmentation | of Dense Depth Maps and Associated Color Information |
| Multimodal | segmentation | of Optic Disc and Cup From SD-OCT and Color Fundus Photographs Using a Machine-Learning Graph-Based Approach |
| Multimodal Variational Auto-encoder based Audio-Visual | segmentation | |
| Multinational License Plate Recognition System: | segmentation | and Classification |
| Multinomial Level-Set Framework for Multi-region Image | segmentation | |
| Multiobjective clustering with metaheuristic: Current trends and methods in image | segmentation | |
| Multiobjective Evolutionary Superpixel | segmentation | for PolSAR Image Classification |
| multiobjective immune clustering ensemble technique applied to unsupervised SAR image | segmentation | , A |
| Multipage Administrative Document Stream | segmentation | |
| Multiphase active contour | segmentation | constrained by evolving medial axes |
| Multiphase B-spline level set and incremental shape priors with applications to | segmentation | and tracking of left ventricle in cardiac MR images |
| Multiphase Dynamic Labeling Model for Variational Recognition-driven Image | segmentation | , A |
| Multiphase geometric couplings for the | segmentation | of neural processes |
| Multiphase Image | segmentation | and Modulation Recovery Based on Shape and Topological Sensitivity |
| Multiphase Image | segmentation | Method Based on Fuzzy Region Competition, A |
| Multiphase Image | segmentation | Using the Deformable Simplicial Complex Method |
| Multiphase image | segmentation | via equally distanced multiple well potential |
| Multiphase Joint | segmentation | -Registration and Object Tracking for Layered Images |
| Multiphase Level Set Based | segmentation | Framework with Pose Invariant Shape Priors, A |
| Multiphase Level Set Evolution Scheme for Aerial Image | segmentation | Using Multi-scale Image Geometric Analysis, A |
| multiphase level set formulation for image | segmentation | using a MRF-based nonsymmetric Student's-t mixture model, A |
| Multiphase Level Set Framework for Image | segmentation | Using the Mumford and Shah Model, A |
| Multiphase Level Set Framework for Motion | segmentation | , A |
| Multiphase Level Set Method on Graphs for Hyperspectral Image | segmentation | , A |
| multiphase region-based framework for image | segmentation | based on least square method, A |
| Multiphase SAR Image | segmentation | With G^0-Statistical-Model-Based Active Contours |
| Multiphase | segmentation | Based on Implicit Active Shape Models |
| multiphase | segmentation | method based on binary segmentation method for Gaussian noisy image, A |
| multiphase | segmentation | method based on binary segmentation method for Gaussian noisy image, A |
| Multiphase | segmentation | of Deformation using Logarithmic Priors |
| Multiphase | segmentation | using an implicit dual shape prior: Application to detection of left ventricle in cardiac MRI |
| Multiphase Soft | segmentation | with Total Variation and H1 Regularization |
| Multiple Class | segmentation | Using A Unified Framework over Mean-Shift Patches |
| Multiple Classifier Learning by Sampling System for White Blood Cells | segmentation | , A |
| Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, | segmentation | and Clustering |
| Multiple feature clustering for image sequence | segmentation | |
| Multiple Features Based Low-Contrast Infrared Ship Image | segmentation | Using Fuzzy Inference System |
| multiple gated boosting network for multi-organ medical image | segmentation | , A |
| Multiple Genetic Snakes for People | segmentation | in Video Sequences |
| multiple geometric deformable model framework for homeomorphic 3D medical image | segmentation | , A |
| Multiple Hypothesis Video | segmentation | from Superpixel Flows |
| Multiple LREK Active Contours for Knee Meniscus Ultrasound Image | segmentation | |
| Multiple Motion | segmentation | with Level Sets |
| Multiple motion | segmentation | with level sets without prior information |
| multiple object geometric deformable model for image | segmentation | , A |
| Multiple Object Tracking Based on Adaptive Depth | segmentation | |
| Multiple object tracking based on motion | segmentation | of point trajectories |
| Multiple object tracking with | segmentation | and interactive multiple model |
| Multiple objects | segmentation | based on maximum-likelihood estimation and optimum entropy-distribution (MLE-OED) |
| Multiple objects | segmentation | with fuzzy rule-base trained topology adaptive active membrane |
| Multiple Organs | segmentation | in Abdomen CT Scans Using a Cascade of CNNs |
| Multiple Parametric Motion Model Estimation and | segmentation | |
| Multiple piecewise constant with geodesic active contours (MPC-GAC) framework for interactive image | segmentation | using graph cut optimization |
| Multiple Plane | segmentation | Using Optical Flow |
| Multiple rectangle model for buildings | segmentation | and 3D scene reconstruction |
| Multiple Relational Learning Network for Joint Referring Expression Comprehension and | segmentation | |
| Multiple Relaxation Time Lattice Boltzmann Models for Multigrid Phase-Field | segmentation | of Tumors in 3D Ultrasound Images |
| Multiple Resolution Bayesian | segmentation | of Ultrasound Images |
| Multiple resolution image | segmentation | using four QP supports of 2D autoregressive model |
| Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor | segmentation | From CT Images |
| Multiple Resolution | segmentation | of Textured Images |
| Multiple Semantic Matching on Augmented N-Partite Graph for Object Co- | segmentation | |
| Multiple shape models for simultaneous object classification and | segmentation | |
| Multiple Shape-from-Texture into Texture Analysis and Surface | segmentation | |
| Multiple Skip Connections of Dilated Convolution Network for Semantic | segmentation | |
| Multiple Structured-Instance Learning for Semantic | segmentation | with Uncertain Training Data |
| Multiple Superpixel Graphs Learning Based on Adaptive Multiscale | segmentation | for Hyperspectral Image Classification |
| Multiple view semantic | segmentation | for street view images |
| Multiple-domain knowledge based MRF model for tumor | segmentation | in breast ultrasound images |
| Multiple-Feature and Multiple-Kernel Scene | segmentation | Algorithm for Humanoid Robot, A |
| Multiple-Feature Spatiotemporal | segmentation | of Moving Sequences using a Rule-based Approach |
| Multiple-Kernel Fuzzy C-Means Algorithm for Image | segmentation | , A |
| Multiple-organ | segmentation | based on spatially-divided neighboring data energy |
| Multiple-organ | segmentation | by graph cuts with supervoxel nodes |
| Multiple-Region | segmentation | Without Supervision by Adaptive Global Maximum Clustering |
| Multiple-Scale | segmentation | and Representation of Solid Plane Shapes |
| Multiplicative kernels: Object detection, | segmentation | and pose estimation |
| MultiPoseSeg: Feedback Knowledge Transfer for Multi-Person Pose Estimation and Instance | segmentation | |
| Multiprimitive | segmentation | based on meaningful breakpoints for fitting digital planar curves with line segments and conic arcs |
| Multiprimitive | segmentation | of Planar Curves: A Two-Level Breakpoint Classification and Tuning Approach |
| Multiregion Image | segmentation | by Parametric Kernel Graph Cuts |
| Multiregion level-set | segmentation | of synthetic aperture radar images |
| Multiregion Multiscale Image | segmentation | with Anisotropic Diffusion |
| Multiresolution 3-D Range | segmentation | Using Focus Cues |
| Multiresolution Adaptive Image | segmentation | based on Global and Local Statistics |
| Multiresolution approach based on adaptive superpixels for administrative documents | segmentation | into color layers |
| Multiresolution Approach for Page | segmentation | , A |
| Multiresolution Approach to Biomedical Image | segmentation | with Statistical Models of Appearance |
| multiresolution approach to on-line handwriting | segmentation | and feature extraction, A |
| multiresolution approach to texture | segmentation | using neural networks, A |
| Multiresolution co-clustering for uncalibrated multiview | segmentation | |
| Multiresolution Color Image | segmentation | |
| Multiresolution Feature Extraction and Selection for Texture | segmentation | |
| Multiresolution Gauss-Markov Random-Field Models for Texture | segmentation | |
| Multiresolution genetic clustering algorithm for texture | segmentation | |
| Multiresolution GMRF Models for Image | segmentation | |
| Multiresolution Hierarchical Approach to Image | segmentation | Based on Intensity Extrema, A |
| Multiresolution Hierarchy Co-Clustering for Semantic | segmentation | in Sequences with Small Variations |
| Multiresolution Hybrid Neuro-Markovian Image Modeling and | segmentation | , A |
| Multiresolution Image | segmentation | for Region-Based Motion Estimation and Compensation |
| Multiresolution image | segmentation | integrating Gibbs sampler and region merging algorithm |
| Multiresolution Image | segmentation | Technique Based on Pyramidal Segmentation and Fuzzy Clustering, A |
| Multiresolution Image | segmentation | Technique Based on Pyramidal Segmentation and Fuzzy Clustering, A |
| Multiresolution localization and | segmentation | of the optical disc in fundus images using inpainted background and vessel information |
| Multiresolution Motion Estimation/ | segmentation | Incorporating Feature Correspondence and Optical Flow |
| Multiresolution Motion | segmentation | |
| Multiresolution Random Field Based Model for Image | segmentation | , A |
| Multiresolution | segmentation | of Natural Images: From Linear to Nonlinear Scale-Space Representations |
| Multiresolution | segmentation | Using the Irregular Pyramid |
| Multiresolution | segmentation | : A Parallel Approach for High Resolution Image Segmentation in Multicore Architectures |
| Multiresolution | segmentation | : A Parallel Approach for High Resolution Image Segmentation in Multicore Architectures |
| multiresolution spatiotemporal motion | segmentation | technique for video sequences based on pyramidal structures, A |
| Multiresolution Stochastic Level Set Method for Mumford-Shah Image | segmentation | , A |
| multiresolution texture gradient method for unsupervised | segmentation | , A |
| Multiresolution Texture | segmentation | Approach with Application to Diagnostic Ultrasound Images, A |
| Multiresolution Video Watermarking Using Perceptual Models and Scene | segmentation | |
| Multiresolution-Based | segmentation | of Calcifications for the Early Detection of Breast Cancer |
| Multiresolution-based watersheds for efficient image | segmentation | |
| Multiscale 3-D Shape Representation and | segmentation | Using Spherical Wavelets |
| Multiscale and Multifeature Normalized Cut | segmentation | for High Spatial Resolution Remote Sensing Imagery |
| Multiscale and Multifeature | segmentation | of High-Spatial Resolution Remote Sensing Images Using Superpixels with Mutual Optimal Strategy |
| Multiscale Annealing for Grouping and Unsupervised Texture | segmentation | |
| Multiscale Annealing for Real-Time Unsupervised Texture | segmentation | |
| Multiscale Attention-Based Prototypical Network For Few-Shot Semantic | segmentation | |
| Multiscale bayesian | segmentation | using a trainable context model |
| Multiscale Combinatorial Grouping for Image | segmentation | and Object Proposal Generation |
| Multiscale Contour | segmentation | and Approximation: An Algorithm Based on the Geometry of Regular Inscribed Polygons |
| Multiscale deformable model | segmentation | and statistical shape analysis using medial descriptions |
| Multiscale Document Page | segmentation | Using Soft Decision Integration |
| Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic | segmentation | |
| Multiscale Fully Convolutional Network-Based Approach for Multilingual Character | segmentation | |
| Multiscale Geoscene | segmentation | for Extracting Urban Functional Zones from VHR Satellite Images |
| Multiscale Gradient Algorithm for Image | segmentation | Using Watersheds, A |
| Multiscale Graph Theory Based Color | segmentation | |
| Multiscale Hierarchical | segmentation | |
| multiscale hybrid model exploiting heterogeneous contextual relationships for image | segmentation | , A |
| Multiscale Image Filtering And | segmentation | by Means of Adaptive Neighborhood Mathematical Morphology |
| Multiscale Image | segmentation | by Integrated Edge and Region Detection |
| multiscale image | segmentation | method, A |
| Multiscale Image | segmentation | Using a Recent Transform |
| Multiscale image | segmentation | using wavelet-domain hidden Markov models |
| Multiscale Joint | segmentation | and Registration of Image Morphology |
| Multiscale Markov Fields: Applications to the | segmentation | of Textured Images and Film Fusion |
| Multiscale Markov Random Field Method for SAR Image | segmentation | |
| Multiscale matters for part | segmentation | of instruments in robotic surgery |
| Multiscale Methods for the | segmentation | and Reconstruction of Signals and Images |
| Multiscale Methods for the | segmentation | of Images |
| Multiscale morphological | segmentation | of gray-scale images |
| Multiscale Morphological | segmentation | s based on Watershed, Flooding, and Eikonal PDE |
| Multiscale Optimized | segmentation | of Urban Green Cover in High Resolution Remote Sensing Image |
| Multiscale probability map guided index pooling with attention-based learning for road and building | segmentation | |
| Multiscale Random Field Model for Bayesian Image | segmentation | , A |
| Multiscale Regularity Measure as a Geometric Criterion for Image | segmentation | , A |
| Multiscale Representation and | segmentation | of Hyperspectral Imagery Using Geometric Partial Differential Equations and Algebraic Multigrid Methods |
| Multiscale Rician approach to Gabor filter design for texture | segmentation | |
| Multiscale | segmentation | and Anomaly Enhancement of SAR Imagery |
| Multiscale | segmentation | and Approximation for Significant Description of 2D Contours |
| Multiscale | segmentation | by Combining Motion and Intensity Cues |
| Multiscale | segmentation | of Document Images Using M-Band Wavelets |
| Multiscale | segmentation | of HRCT Images Using Bipolar Incoherent Filtering |
| Multiscale | segmentation | Of Polarimetric Sar Image Based On Srm Superpixels |
| Multiscale | segmentation | of textured sonar images using cooccurence statistics |
| Multiscale | segmentation | of Three-Dimensional MR Brain Images |
| Multiscale | segmentation | of Unstructured Document Pages Using Soft Decision Integration |
| Multiscale | segmentation | Through a Radial Basis Neural Network |
| Multiscale | segmentation | via Bregman Distances and Nonlinear Spectral Analysis |
| Multiscale | segmentation | With Vector-Valued Nonlinear Diffusions on Arbitrary Graphs |
| Multiscale Sigma Filter and Active Contour for Image | segmentation | |
| Multiscale superpixel classification for tumor | segmentation | in breast ultrasound images |
| Multiscale Texture | segmentation | Using Hybrid Contextual Labeling Tree |
| Multiscale Texture | segmentation | with Vector-Valued Nonlinear Diffusions on Arbitrary Graphs |
| Multiscale TILT Feature Detection with Application to Geometric Image | segmentation | |
| Multiscale watershed | segmentation | of multivalued images |
| Multiseeded | segmentation | Using Fuzzy Connectedness |
| MultiSeg: Semantically Meaningful, Scale-Diverse | segmentation | s From Minimal User Input |
| Multisensor image | segmentation | using Dempster-Shafer fusion in Markov fields context |
| Multispectral human co- | segmentation | via joint convolutional neural networks |
| Multispectral image compression using eigenregion-based | segmentation | |
| Multispectral Image | segmentation | Based on a Fuzzy Clustering Algorithm Combined with Tsallis Entropy and a Gaussian Mixture Model |
| Multispectral Image | segmentation | by Energy Minimization for Fruit Quality Estimation |
| Multispectral image | segmentation | using the rough-set-initialized EM algorithm |
| Multispectral Integration for | segmentation | of Chromosome Images |
| Multispectral LiDAR Point Cloud | segmentation | for Land Cover Leveraging Semantic Fusion in Deep Learning Network |
| Multispectral MRI image | segmentation | using Markov random field model |
| Multispectral Object | segmentation | and Retrieval in Surveillance Video |
| Multispectral Satellite Image | segmentation | Using Fuzzy Clustering and Nonlinear Filtering Methods |
| Multispectral Video Semantic | segmentation | : A Benchmark Dataset and Baseline |
| Multistage Branch-and-Bound Merging for Planar Surface | segmentation | in Disparity Space |
| Multistage hybrid active appearance model matching: | segmentation | of left and right ventricles in cardiac MR images |
| Multistage Image | segmentation | and Denoising Method: Based on the Mumford and Shah Variational Approach, A |
| Multistage | segmentation | of Optical-Flow Field |
| Multistage temporal convolution transformer for action | segmentation | |
| Multitask Semantic Boundary Awareness Network for Remote Sensing Image | segmentation | |
| Multivalued image | segmentation | based on first fundamental form |
| Multivalued label diffusion for semi-supervised | segmentation | |
| Multivalued Morphology and | segmentation | -based Coding |
| Multivariate Gaussian MRF for Multispectral Scene | segmentation | and Anomaly Detection |
| Multivariate Image | segmentation | Using Semantic Region Growing with Adaptive Edge Penalty |
| Multivariate Mixture Model for Myocardial | segmentation | Combining Multi-Source Images |
| Multivariate optimization for multifractal-based texture | segmentation | |
| Multivariate Watershed | segmentation | of Compositional Data |
| Multiview cluster ensembles for multimodal MRI | segmentation | |
| Multiview Co- | segmentation | for Wide Baseline Images using Cross-view Supervision |
| Multiview depth coding based on combined color/depth | segmentation | |
| Multiview foreground | segmentation | using 3D probabilistic model |
| Multiview | segmentation | and Tracking of Dynamic Occluding Layers |
| Multiwindowed Approach to the Optimum Estimation of the Local Fractal Dimension for Natural Image | segmentation | |
| Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate | segmentation | , A |
| Mumford-Shah Loss Functional for Image | segmentation | With Deep Learning |
| Mumford-Shah on the Move: Region-Based | segmentation | on Deforming Manifolds with Application to 3-D Reconstruction of Shape and Appearance from Multi-View Images |
| Mumford-Shah variational model for image | segmentation | : An overview of the theory, implementation and use, The |
| MUNet: Motion uncertainty-aware semi-supervised video object | segmentation | |
| Munich to Dubai: How far is it for Semantic | segmentation | ? |
| Muscle injury determination by image | segmentation | |
| Mushroom | segmentation | and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding |
| Mutual Bootstrapping Model for Automated Skin Lesion | segmentation | and Classification, A |
| Mutual Foreground | segmentation | with Multispectral Stereo Pairs |
| mutual GrabCut method to solve co- | segmentation | , A |
| Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging | segmentation | |
| Mutual | segmentation | with Level Sets |
| Mutual-Complementing Framework for Nuclei Detection and | segmentation | in Pathology Image |
| Mutually Supervised Learning via Interactive Consistency for Geographic Object | segmentation | from Weakly Labeled Remote Sensing Imagery |
| MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance | segmentation | in the Shopping Scenario |
| MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D | segmentation | |
| MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic | segmentation | |
| Myocardial Infarct | segmentation | From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology |
| Myocardial Scar | segmentation | in LGE-MRI using Fractal Analysis and Random Forest Classification |
| Myocardial | segmentation | Using Constrained Multi-Seeded Region Growing |
| Myocardium | segmentation | in strain-encoded (SENC) magnetic resonance images using graph-cuts |
| Myocardium | segmentation | on 3D spect images |
| N-Folded Symmetries by Complex Moments in Gabor Space and Their Application to Unsupervised Texture | segmentation | |
| N-tuple Color | segmentation | for Multi-View Silhouette Extraction |
| N-View Human Silhouette | segmentation | in Cluttered, Partially Changing Environments |
| Naive-Student: Leveraging Semi-supervised Learning in Video Sequences for Urban Scene | segmentation | |
| Nakagami-Fuzzy imaging framework for precise lesion | segmentation | in MRI |
| Nano-scale context-sensitive semantic | segmentation | |
| narrow band graph partitioning method for skin lesion | segmentation | , A |
| Narrow band region-based active contours and surfaces for 2D and 3D | segmentation | |
| Narrow-Band Level-Set Method with Dynamic Velocity for Neural Stem Cell Cluster | segmentation | , A |
| Nastalique | segmentation | -based approach for Urdu OCR |
| Natural Approach in Image Processing and Pattern Recognition: Rotating Neighbourhood Technique, Self-Adapting Threshold, | segmentation | and Shape Recognition, A |
| Natural color image | segmentation | |
| Natural Image | segmentation | Based on Tree Equipartition, Bayesian Flooding and Region Merging |
| Natural Image | segmentation | with Adaptive Texture and Boundary Encoding |
| Natural image | segmentation | with non-extensive mixture models |
| Natural Image Statistics for Natural Image | segmentation | |
| Natural Material | segmentation | and Classification Using Polarisation |
| Natural Scene | segmentation | Based on Multiple Threshold and Textural Measurement |
| Natural Scene Text Detection with Multi-channel Connected Component | segmentation | |
| Natural scene text detection with multi-layer | segmentation | and higher order conditional random field based analysis |
| Nautical Scene | segmentation | using Variable Size Image Windows and Feature Space Reclustering |
| NCC-RANSAC: A Fast Plane Extraction Method for 3-D Range Data | segmentation | |
| NDNet: Narrow While Deep Network for Real-Time Semantic | segmentation | |
| Near optimum estimation of local fractal dimension for image | segmentation | |
| Near Real-Time Mapping of Tropical Forest Disturbance Using SAR and Semantic | segmentation | in Google Earth Engine, A |
| Near Real-Time Motion | segmentation | Using Graph Cuts |
| Nearness to Local Subspace Algorithm for Subspace and Motion | segmentation | |
| Neew Method for Word Recognition Without | segmentation | , A |
| Negative Pseudo Labeling Using Class Proportion for Semantic | segmentation | in Pathology |
| Neighbor-Constrained | segmentation | With Level Set Based 3-D Deformable Models |
| Neighborhood Supported Model Level Fuzzy Aggregation for Moving Object | segmentation | |
| Neighbourhood weighted fuzzy c-means clustering algorithm for image | segmentation | |
| NeoUNet: Towards Accurate Colon Polyp | segmentation | and Neoplasm Detection |
| NephCNN: A deep-learning framework for vessel | segmentation | in nephrectomy laparoscopic videos |
| Nerve Structure | segmentation | from Ultrasound Images Using Random Under-Sampling and an SVM Classifier |
| Nested Graph Cut for Automatic | segmentation | of High-Frequency Ultrasound Images of the Mouse Embryo |
| Nested partitions using texture | segmentation | |
| nested U-shape network with multi-scale upsample attention for robust retinal vascular | segmentation | , A |
| Network adaptation for color image semantic | segmentation | |
| Network-Free, Unsupervised Semantic | segmentation | with Synthetic Images |
| Neural Cell | segmentation | in Large-Scale 3D Color Fluorescence Microscopy Images for Developemental Neuroscience |
| Neural Ctrl-F: | segmentation | -Free Query-by-String Word Spotting in Handwritten Manuscript Collections |
| Neural Model of Human Texture Processing: Texture | segmentation | vs. Visual Search, A |
| Neural Network Approach for Video Object | segmentation | in Traffic Surveillance, A |
| neural network based scheme for unsupervised video object | segmentation | , A |
| Neural Network Boundary Detection for 3D Vessel | segmentation | |
| Neural Networks for | segmentation | |
| Neural Networks for Semantic | segmentation | |
| Neural networks with divisive normalization for image | segmentation | |
| Neural Registration and | segmentation | of White Matter Tracts in Multi-modal Brain MRI |
| Neural | segmentation | of Seeding ROIs (sROIs) for Pre-Surgical Brain Tractography |
| Neural stem cell | segmentation | using local complex phase information |
| Neural-based Architectures for the | segmentation | of Textures |
| neural-based | segmentation | of cursive words using enhanced heuristics, The |
| NeuralBF: Neural Bilateral Filtering for Top-down Instance | segmentation | on Point Clouds |
| Neuro-levelset system based | segmentation | in dynamic susceptibility contrast enhanced and diffusion weighted magnetic resonance images |
| Neuron | segmentation | Based on CNN with Semi-Supervised Regularization |
| Neuron | segmentation | With High-Level Biological Priors |
| NeurReg: Neural Registration and Its Application to Image | segmentation | |
| Neutral Cross-Entropy Loss Based Unsupervised Domain Adaptation for Semantic | segmentation | |
| Neutrosophic C-means clustering with local information and noise distance-based kernel metric image | segmentation | |
| New accelerated graph-based method of image | segmentation | applying minimum spanning tree |
| new accurate and precise 3-D | segmentation | method for skeletal structures in volumetric CT data, A |
| new active contour model and its application on cell | segmentation | , A |
| new active contour model for tumor | segmentation | , A |
| new active contour model-based | segmentation | approach for accurate extraction of the lesion from breast DCE-MRI, A |
| New Active Learning Approach for Seabed | segmentation | |
| New Adaptive Thresholding Technique for Retinal Vessel | segmentation | Based on Local Homogeneity Information, A |
| New Algorithm for Cortical Bone | segmentation | with Its Validation and Applications to In Vivo Imaging, A |
| new algorithm for fast and accurate moving object detection based on motion | segmentation | by clustering, A |
| New Algorithm for Image | segmentation | via Watershed Transformation, A |
| new algorithm for machine printed Arabic character | segmentation | , A |
| New Algorithm for | segmentation | of Images Represented as Hypergraph Hexagonal-Grid |
| new algorithm for static camera foreground | segmentation | via active coutours and GMM, A |
| new algorithm for texture | segmentation | based on edge detection, A |
| New Approach for Cervical Vertebrae | segmentation | , A |
| new approach for color image | segmentation | based on color mixture, A |
| new approach for iris | segmentation | , A |
| new approach for multiphase piecewise smooth image | segmentation | , A |
| new approach for optimal offline time-series | segmentation | with error bound guarantee, A |
| new approach for optimal time-series | segmentation | , A |
| New Approach for Robust | segmentation | of the Noisy or Textured Images, A |
| New Approach For | segmentation | And Extraction Of Single Tree From Point Clouds Data And Aerial Images |
| New Approach for | segmentation | and Recognition of Arabic Handwritten Touching Numeral Pairs, A |
| New Approach for | segmentation | -Based Texturing of Laser Scanning Data, A |
| new approach for the morphological | segmentation | of high-resolution satellite imagery, A |
| New Approach for Vehicle Detection in Congested Traffic Scenes Based on Strong Shadow | segmentation | , A |
| New Approach for Wet Blue Leather Defect | segmentation | , A |
| New Approach of Color Images | segmentation | Based on Fusing Region and Edge Segmentations Outputs, A |
| New Approach of Color Images | segmentation | Based on Fusing Region and Edge Segmentations Outputs, A |
| new approach of geodesic reconstruction for drusen | segmentation | in eye fundus images, A |
| New Approach to Automated Retinal Vessel | segmentation | Using Multiscale Analysis, A |
| New Approach to Image | segmentation | , A |
| new approach to image | segmentation | , A |
| new approach to outdoor scene description based on learning and top-down | segmentation | , A |
| New Approach to | segmentation | Based on Fusing Circumscribed Contours, Region Growing and Clustering, A |
| new approach to training more interpretable model with additional | segmentation | , A |
| New Approach to Two-View Motion | segmentation | Using Global Dimension Minimization, A |
| New Approach to Unsupervised Image | segmentation | Based on Wavelet-Domain Hidden Markov Tree Models, A |
| New Automatic Multilevel Thresholding Technique for | segmentation | of Thermal Images |
| New Bayesian Method for Range Image | segmentation | , A |
| New Bounding Box based Pseudo Annotation Generation Method for Semantic | segmentation | , A |
| new challenging image dataset with simple background for evaluating and developing co- | segmentation | algorithms, A |
| New Chromatic Edge Detector Used for Color Image | segmentation | , A |
| New Clustering Algorith for | segmentation | of Magnetic Resonance Images Using Fuzzy C-Mean and Computer Programming, A |
| New Clustering Algorithm for Color Image | segmentation | , A |
| New Coin | segmentation | and Graph-Based Identification Method for Numismatic Application, A |
| new color image | segmentation | algorithm based on watershed transformation, A |
| new continuous max-flow algorithm for multiphase image | segmentation | using super-level set functions, A |
| new convex variational model for liver | segmentation | , A |
| new cut detection algorithm with constant false-alarm ratio for video | segmentation | , A |
| New data model for graph-cut | segmentation | : Application to automatic melanoma delineation |
| New Dataset and Approach for Timestamp Supervised Action | segmentation | Using Human Object Interaction, A |
| new deformable model for 3D image | segmentation | , A |
| new deformable model-based | segmentation | approach for accurate extraction of the kidney from abdominal CT images, A |
| new descriptor for textured image | segmentation | based on fuzzy type-2 clustering approach, A |
| New Diffusion-Based Variational Model for Image Denoising and | segmentation | , A |
| New discrepancy measures for | segmentation | evaluation |
| New Distributed Approach for Range Image | segmentation | , A |
| New Efficient Graphemes | segmentation | Technique for Offline Arabic Handwriting, A |
| New Energy Framework With Distribution Descriptors for Image | segmentation | , A |
| New enhancements to cut, fade, and dissolve detection processes in video | segmentation | |
| new evaluation measure for color image | segmentation | based on genetic programming approach, A |
| new fast estimating floor region based on image | segmentation | for smart rovers, A |
| new fast multiphase image | segmentation | algorithm based on nonconvex regularizer, A |
| New Female Body | segmentation | and Feature Localisation Method for Image-Based Anthropometry, A |
| New Finsler Minimal Path Model with Curvature Penalization for Image | segmentation | and Closed Contour Detection, A |
| New Foreground | segmentation | Method for Video Analysis in Different Color Spaces, A |
| new framework for automated | segmentation | of left ventricle wall from contrast enhanced cardiac magnetic resonance images, A |
| New Framework for Hierarchical | segmentation | Using Homogeneity Analysis, A |
| New Framework For Interactive | segmentation | of Point Clouds, A |
| New Framework for Stereo Sensor Pose Through Road | segmentation | and Registration, A |
| New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image | segmentation | , A |
| new fully convolutional neural network for semantic | segmentation | of polarimetric SAR imagery in complex land cover ecosystem, A |
| new fuzzy c-means method with total variation regularization for | segmentation | of images with noisy and incomplete data, A |
| new fuzzy | segmentation | approach based on S-FCM type 2 using LBP-GCO features, A |
| New Global Shape Prior for Level Set Based | segmentation | , A |
| New Gradient Based Character | segmentation | Method for Video Text Recognition, A |
| New Graph-Based Method for Automatic | segmentation | , A |
| new graph-theoretic approach to clustering and | segmentation | , A |
| New Hierarchical Image | segmentation | Method, A |
| New Hybrid Method for Gland | segmentation | in Histology Images, A |
| new image | segmentation | algorithm based on modified seeded region growing and particle swarm optimization, A |
| new image | segmentation | method based On 3-dimensional entropic thresholding using a 3-dimensional (GLLALE) histogram, A |
| New Image | segmentation | Method Based on Human Brightness Perception and Foveal Application, A |
| New Image | segmentation | Method Based on Modified Intersecting Cortical Model, A |
| New Image | segmentation | Method for Removing Background of Object Movies by Learning Shape Priors, A |
| New Image | segmentation | Technique Based on Partition Mode Test, A |
| New Image | segmentation | Technique Using Maximum Spanning Tree, A |
| new images | segmentation | method based on modified particle swarm optimization algorithm, A |
| New Implicit Method for Surface | segmentation | by Minimal Paths: Applications in 3D Medical Images, A |
| New improvements to range image | segmentation | by edge detection |
| new information fusion approach for image | segmentation | , A |
| New insight at level set and Gaussian mixture model for natural image | segmentation | |
| new iris | segmentation | method for non-ideal iris images, A |
| new iris | segmentation | method for recognition, A |
| New Iterative Triclass Thresholding Technique in Image | segmentation | , A |
| new level set method for inhomogeneous image | segmentation | , A |
| New Level-Set Based Algorithm for Bimodal Depth | segmentation | , A |
| New LiDAR Filtering Method Based on Multi-Layer Two-Class | segmentation | , A |
| New Line Symmetry Distance Based Automatic Clustering Technique: Application To Image | segmentation | , A |
| New Local Transformation Module for Few-shot | segmentation | , A |
| New Low Level Procedure for Image | segmentation | , A |
| New Marching Cubes Algorithm for Interactive Level Set with Application to MR Image | segmentation | , A |
| new maximum-likelihood joint | segmentation | technique for multitemporal SAR and multiband optical images, A |
| New medical image sequences | segmentation | based on level set method |
| New Medical | segmentation | Method Based on Voronoi Diagrams and Region Growing, A |
| New Method for Character | segmentation | from Multi-oriented Video Words, A |
| New Method for DNA Microarray Image | segmentation | , A |
| new method for image | segmentation | based on Fuzzy C-means algorithm on pixonal images formed by bilateral filtering, A |
| New Method for Image | segmentation | , A |
| new method for mammographic mass | segmentation | based on parametric active contour model, A |
| New Method for | segmentation | of Images Represented in a HSV Color Space, A |
| New method for simultaneous moderate bias correction and image | segmentation | |
| New Method for Text-Line | segmentation | for Warped Documents, A |
| New Method for Volume | segmentation | of PET Images, Based on Possibility Theory, A |
| New Method for Word | segmentation | from Arbitrarily-Oriented Video Text Lines, A |
| New Method of Color Image | segmentation | Based on Intensity and Hue Clustering, A |
| New Method of Object | segmentation | in the Basketball Videos, A |
| New Method on the | segmentation | and Recognition of Chinese Characters for Automatic Chinese Seal Imprint Retrieval, A |
| New Methodology for Gray-Scale Character | segmentation | and Recognition, A |
| New Minimum-Variance Region Growing Algorithm For Image | segmentation | , A |
| New Model for Image | segmentation | , A |
| New Model for the | segmentation | of Multiple, Overlapping, Near-Circular Objects, A |
| New Model on Detecting Target Strength: Surface | segmentation | and Integral, A |
| new model-based framework for lung tissue | segmentation | in three-dimensional thoracic CT images, A |
| New Morphological Method for Cursive Word | segmentation | , A |
| New MR Brain Image | segmentation | Using an Optimal Semi-supervised Fuzzy C-means and pdf Estimation, A |
| New MRF Parameter Estimation Technique for Texture Image | segmentation | using Hierarchical GMRF Model Based on Random Spatial Interaction and Mean Field Theory |
| new multi-criteria fusion model for color textured image | segmentation | , A |
| New Multiscale Bayesian Model Averaging Framework for Texture | segmentation | , A |
| new Mumford-Shah type model involving a smoothing operator for multiphase image | segmentation | , A |
| New neutrosophic approach to image | segmentation | |
| new on-line signature verification algorithm using variable length | segmentation | and hidden Markov models, A |
| New optimized GPU version of the k-means algorithm for large-sized image | segmentation | |
| New paradigm for | segmentation | and recognition of handwritten numeral string |
| new paradigm for | segmentation | , A |
| New Parallel Approach to Fuzzy Clustering for Medical Image | segmentation | , A |
| New parametric 3D snake for medical | segmentation | of structures with cylindrical topology |
| New Perception-Based | segmentation | Approach Using Combinatorial Pyramids, A |
| New Pixel-Based Quality Measure for | segmentation | Algorithms Integrating Precision, Recall and Specificity, A |
| new plant cell image | segmentation | algorithm, A |
| New Prior Shape Model for Level Set | segmentation | , A |
| New Region-based Active Contour Model for Object | segmentation | , A |
| New Region-Based Active Contour Model with Skewness Wavelet Energy for | segmentation | of SAR Images, A |
| new robust active shape model formulation for cardiac MRI | segmentation | , A |
| New Rule-based Framework for Post-processing Merging in Video Sequence | segmentation | |
| new scheme for unconstrained handwritten text-line | segmentation | , A |
| new | segmentation | and fuzzy logic based multi-sensor image fusion, The |
| New | segmentation | Approach for Ear Recognition, A |
| New | segmentation | Approach for Handwritten Digits, A |
| new | segmentation | approach for iris recognition based on hand-held capture device, A |
| New | segmentation | Approach for Old Fractured Pieces, A |
| new | segmentation | method for MRI images of the shoulder joint, A |
| new | segmentation | method for phase change thermography sequence, A |
| new | segmentation | method for very high resolution imagery using spectral and morphological information, A |
| new | segmentation | technique for brain and head from high resolution MR image using unique histogram features, A |
| new | segmentation | technique for omnifont Farsi text, A |
| new | segmentation | technique of Arabic text, A |
| New | segmentation | techniques for document image analysis |
| new semi-supervised method for image co- | segmentation | , A |
| new shape based | segmentation | framework using statistical and variational methods, A |
| New Shape | segmentation | Approach for Active Vision Systems, A |
| New shape-based auroral oval | segmentation | driven by LLS-RHT |
| new sparse representation-based object | segmentation | framework, A |
| new spatio-temporal MRF framework for video-based object | segmentation | , A |
| New Stereo Algorithm Integrating Luminance, Gradient and | segmentation | Informations in a Belief-Propagation Framework, A |
| New Stereo Correspondence Method for Snake-Based Object | segmentation | , A |
| new stochastic model-based image | segmentation | technique for MR image, A |
| New Strategy for Individual Tree Detection and | segmentation | from Leaf-on and Leaf-off UAV-LiDAR Point Clouds Based on Automatic Detection of Seed Points, A |
| New Subband Geometries for Image Texture | segmentation | |
| New Supervised Evaluation Criterion for Region Based | segmentation | Methods, A |
| New Supervised Method for Blood Vessel | segmentation | in Retinal Images by Using Gray-Level and Moment Invariants-Based Features, A |
| New System for Automatic | segmentation | and Recognition of Unconstrained Zip Codes, A |
| new system for trademark | segmentation | and retrieval, A |
| new technique for color image | segmentation | , A |
| New Technique for Motion Field | segmentation | and Coding for Very Low Bitrate Video Coding Applications, A |
| New Tools for Gray Level Histogram Analysis, Applications in | segmentation | |
| New topological operators for | segmentation | |
| New Trajectory Based Motion | segmentation | Benchmark Dataset (UdG-MS15), A |
| new trajectory clustering algorithm using temporal smoothness for motion | segmentation | , A |
| new two-stage mesh surface | segmentation | method, A |
| New Variational Formulations for Level Set Evolution Without Reinitialization with Applications to Image | segmentation | |
| new variational model for joint restoration and | segmentation | based on the Mumford-Shah model, A |
| new video | segmentation | method of moving objects based on blob-level knowledge, A |
| New Wavelet-Domain HMTseg Algorithm for Remotely Sensed Image | segmentation | , A |
| new wavelet-Laplacian method for arbitrarily-oriented character | segmentation | in video text lines, A |
| new way of image data fusion: the multi-spectral cooperative | segmentation | , A |
| new weakly supervised approach for ALS point cloud semantic | segmentation | , A |
| News Story | segmentation | in the Fischlar Video Indexing System |
| NewsNet: A Novel Dataset for Hierarchical Temporal | segmentation | |
| Newspaper document analysis featuring connected line | segmentation | |
| NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone | segmentation | |
| NightLab: A Dual-level Architecture with Hardness Detection for | segmentation | at Night |
| Nighttime sky/cloud image | segmentation | |
| nnFormer: Volumetric Medical Image | segmentation | via a 3D Transformer |
| No Role for Motion Blur in Either Motion Detection or Motion-Based Image | segmentation | |
| no-threshold histogram-based image | segmentation | method, A |
| Noise Estimation of Remote Sensing Reflectance Using a | segmentation | Approach Suitable for Optically Shallow Waters |
| Noise Models in | segmentation | |
| Noise reduction and | segmentation | in time-varying ultrasound images |
| Noise reduction, smoothing and time interval | segmentation | of noisy signals using an energy optimisation method |
| Noise Removal and Restoration Using Voting-Based Analysis and Image | segmentation | Based on Statistical Models |
| Noise Robust Training of | segmentation | Model Using Knowledge Distillation |
| Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image | segmentation | , A |
| Noise-Robust Framework for Automatic | segmentation | of COVID-19 Pneumonia Lesions From CT Images, A |
| Noise-Robust Method for Image | segmentation | |
| Noise-tolerant deep learning for histopathological image | segmentation | |
| Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance | segmentation | ? |
| Noisy iris | segmentation | with boundary regularization and reflections removal |
| Non Parametric Image | segmentation | |
| Non-contrast based edge descriptor for image | segmentation | |
| Non-Euclidean image-adaptive Radial Basis Functions for 3D interactive | segmentation | |
| Non-ideal iris | segmentation | using anisotropic diffusion |
| Non-ideal iris | segmentation | using graph cuts |
| Non-ideal iris | segmentation | using Polar Spline RANSAC and illumination compensation |
| Non-Linear Gray-Level Appearance Model Improves Active Shape Model | segmentation | , A |
| Non-Local Aggregation for RGB-D Semantic | segmentation | |
| non-local Chan-Vese model for sparse, tubular object | segmentation | , A |
| Non-Local Feature Search Network for Building and Road | segmentation | of Remote Sensing Image |
| Non-Local Fuzzy | segmentation | Method: Application to Brain MRI, A |
| Non-local | segmentation | and inpaiting |
| Non-local Topology-Preserving | segmentation | -Guided Registration Model, A |
| Non-negative matrix factorization of partial track data for motion | segmentation | |
| Non-parametric Higher-Order Random Fields for Image | segmentation | |
| non-parametric model for partial volume | segmentation | of MR images, A |
| Non-Parametric Probabilistic Image | segmentation | |
| Non-Parametric Similarity Measures for Unsupervised Texture | segmentation | and Image Retrieval |
| Non-rigid 2D-3D pose estimation and 2D image | segmentation | |
| Non-rigid Object Localization and | segmentation | Using Eigenspace Representation |
| Non-rigid Object | segmentation | Using Robust Active Shape Models |
| Non-rigid Object Tracking as Salient Region | segmentation | and Association |
| Non-rigid registration between histological and MR images of the prostate: A joint | segmentation | and registration framework |
| Non-Rigid Registration for Automatic Fracture | segmentation | |
| Non-rigid Registration of 3D Ultrasound Images Using Model-Based | segmentation | |
| Non-rigid | segmentation | Using Sparse Low Dimensional Manifolds and Deep Belief Networks |
| Non-Salient Region Object Mining for Weakly Supervised Semantic | segmentation | |
| Non-supervised image | segmentation | based on multiobjective optimization |
| Non-supervised | segmentation | using multi-level Markov random fields |
| Nonconservative Flow Field for Robust Variational Image | segmentation | , A |
| Nonconvex Mixed TV/Cahn-Hilliard Functional for Super-Resolution/ | segmentation | of 3D Trabecular Bone Images |
| Nonlinear Adaptive Level Set for Image | segmentation | , A |
| Nonlinear Analog Networks for Image Smoothing and | segmentation | |
| Nonlinear Color Space and Spatiotemporal MRF for Hierarchical | segmentation | of Face Features in Video |
| Nonlinear Diffusion Filters without Parameters for Image | segmentation | |
| Nonlinear Dynamical Shape Priors for Level Set | segmentation | |
| Nonlinear Enhancement and | segmentation | Algorithm for the Detection of Age-related Macular Degeneration (AMD) in Human Eye's Retina |
| Nonlinear Feature Extractor for Texture | segmentation | , A |
| Nonlinear Gaussian filtering approach for object | segmentation | |
| Nonlinear Image Labeling for Multivalued | segmentation | |
| Nonlinear Multiscale Graph Theory based | segmentation | of Color Images |
| Nonlinear Multiscale Representations for Image | segmentation | |
| Nonlinear optimisation method for image | segmentation | and noise reduction using geometrical intrinsic properties |
| Nonlinear Regression of Saliency Guided Proposals for Unsupervised | segmentation | of Dynamic Scenes |
| Nonlinear shape manifolds as shape priors in level set | segmentation | and tracking |
| Nonlinear Shape Regression for Filtering | segmentation | Results from Calcium Imaging |
| Nonlinear Shape Statistics in Mumford-Shah Based | segmentation | |
| Nonlinear Tensor Diffusion in | segmentation | of Meaningful Biological Structures from Image Sequences of Zebrafish Embryogenesis, The |
| Nonlocal convolutional block attention module VNet for gliomas automatic | segmentation | |
| nonlocal energy minimization approach to brain image | segmentation | with simultaneous bias field estimation and denoising, A |
| Nonlocal Joint | segmentation | Registration Model |
| Nonparametric Approach for Histogram | segmentation | , A |
| nonparametric Bayesian approach for enhanced pedestrian detection and foreground | segmentation | , A |
| Nonparametric Bayesian Image | segmentation | |
| Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image | segmentation | |
| Nonparametric Distribution Prior Model for Image | segmentation | |
| Nonparametric higher-order learning for interactive | segmentation | |
| Nonparametric Image | segmentation | Using Renyi's Statistical Dependence Measure |
| Nonparametric Joint Shape and Feature Priors for Image | segmentation | |
| Nonparametric learning for layered | segmentation | of natural images |
| Nonparametric Level-Set | segmentation | Based on the Minimization of the Stochastic Complexity |
| Nonparametric MDL | segmentation | of inhomogeneous images based on Quadratic Local Binary Fitting |
| Nonparametric methods for image | segmentation | using information theory and curve evolution |
| nonparametric Riemannian framework on tensor field with application to foreground | segmentation | , A |
| Nonparametric | segmentation | of Curves into Various Representations |
| Nonparametric | segmentation | of Curves into Various Representations: Comment |
| Nonparametric | segmentation | of Curves into Various Representations: Response |
| Nonparametric shape priors for active contour-based image | segmentation | |
| nonparametric statistical method for image | segmentation | using information theory and curve evolution, A |
| Nonparametric Treatment for Location/ | segmentation | Based Visual Tracking, A |
| Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image | segmentation | , A |
| Nonsubsampled Contourlet Transform based expectation maximization method for | segmentation | of images |
| Nonsupervised Ranking of Different | segmentation | Approaches: Application to the Estimation of the Left Ventricular Ejection Fraction From Cardiac Cine MRI Sequences |
| Nonsymmetric Mixture Model for Unsupervised Image | segmentation | , A |
| Normal-Knowledge-Based Pavement Defect | segmentation | Using Relevance-Aware and Cross-Reasoning Mechanisms |
| Normalization in Unsupervised | segmentation | Parameter Optimization: A Solution Based on Local Regression Trend Analysis |
| Normalized Colour | segmentation | for Human Appearance Description |
| Normalized Cut Loss for Weakly-Supervised CNN | segmentation | |
| Normalized Cuts and Image | segmentation | |
| Normalized Cuts in 3-D for Spinal MRI | segmentation | |
| Normalized Cuts Revisited: A Reformulation for | segmentation | with Linear Grouping Constraints |
| Normalized Gradient Vector Diffusion and Image | segmentation | |
| Normalized Joint Mutual Information Measure for Ground Truth Based | segmentation | Evaluation |
| Normalized Joint Mutual Information Measure for Image | segmentation | Evaluation with Multiple Ground-Truth Images |
| Normalized tree partitioning for image | segmentation | |
| Nose bug egg geometric structure | segmentation | with anisotropic filtering and edge enhancement |
| Not All Areas Are Equal: Transfer Learning for Semantic | segmentation | via Hierarchical Region Selection |
| Not All Pixels Are Equal: Difficulty-Aware Semantic | segmentation | via Deep Layer Cascade |
| Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and | segmentation | |
| note on convex image | segmentation | model based on local and global intensity fitting energy, A |
| Note on Using the Fractal Dimension for | segmentation | , A |
| Novel 3D Joint MGRF Framework for Precise Lung | segmentation | , A |
| novel 3D mesh compression using mesh | segmentation | with multiple principal plane analysis, A |
| Novel 3D | segmentation | Method of the Lumen from Intravascular Ultrasound Images, A |
| Novel 3D | segmentation | of Vertebral Bones from Volumetric CT Images Using Graph Cuts, A |
| Novel 3D Statistical Shape Model for | segmentation | of Medical Images, A |
| novel active contour model based on modified symmetric cross entropy for remote sensing river image | segmentation | , A |
| Novel Active Contour Model for Image | segmentation | Using Local and Global Region-Based Information, A |
| Novel Active Contour Model for Noisy Image | segmentation | Based on Adaptive Fractional Order Differentiation, A |
| Novel Active Contour Model for Texture | segmentation | , A |
| novel adaptive class weight adjustment-based multiclass | segmentation | error minimization technique for COVID-19 X-ray image analysis, A |
| novel adaptive morphological approach for degraded character image | segmentation | , A |
| Novel Algorithm for Automatic Brain Structure | segmentation | from MRI, A |
| Novel Algorithm for Fitting 3-D Active Appearance Models: Applications to Cardiac MRI | segmentation | , A |
| Novel Approach for Lung Nodules | segmentation | in Chest CT Using Level Sets, A |
| Novel Approach For | segmentation | Of Airborne Laser Scanning Point Cloud Located On Roof Structure, A |
| novel approach for visual Saliency detection and | segmentation | based on objectness and top-down attention, A |
| Novel Approach to FRUC Using Discriminant Saliency and Frame | segmentation | , A |
| Novel Approach to Motion | segmentation | , A |
| Novel Approaches to Multichannel Filtering for image texture | segmentation | |
| novel automated magnetic resonance image | segmentation | approach based on elliptical gamma mixture model for breast lumps detection, A |
| novel automatic | segmentation | of healthy and diseased retinal layers from OCT scans, A |
| novel brain image | segmentation | using intuitionistic fuzzy C means algorithm, A |
| Novel character | segmentation | method for overlapped Chinese handwriting recognition based on LSTM neural networks |
| Novel Class Discovery for 3D Point Cloud Semantic | segmentation | |
| Novel Class Discovery in Semantic | segmentation | |
| Novel Clustering-Based Method for Adaptive Background | segmentation | , A |
| Novel CNN | segmentation | Framework Based on Using New Shape and Appearance Features, A |
| novel co-attention computation block for deep learning based image co- | segmentation | , A |
| novel coarse-to-fine hair | segmentation | method, A |
| novel compressed domain shot | segmentation | algorithm on H.264/AVC, A |
| novel Computer-Aided Tree Species Identification method based on Burst Wind | segmentation | of 3D bark textures, A |
| Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for | segmentation | of 3D Echocardiograms with Random Forests |
| novel decoder based on Bayesian rules for task-driven object | segmentation | , A |
| novel deep learning instance | segmentation | model for automated marine oil spill detection, A |
| Novel Deeplabv3+ Network for SAR Imagery Semantic | segmentation | Based on the Potential Energy Loss Function of Gibbs Distribution, A |
| novel deviation density peaks clustering algorithm and its applications of medical image | segmentation | , A |
| Novel Dual LevelSets Competition Model for Colon Region | segmentation | , A |
| Novel Dynamic Region | segmentation | Method Based on Quantative Colour Space Selection, A |
| Novel Dynamic | segmentation | for Human-Posture Learning System Using Hidden Logistic Regression |
| novel efficient approach for audio | segmentation | , A |
| Novel End-to-End Unsupervised Change Detection Method with Self-Adaptive Superpixel | segmentation | for SAR Images, A |
| novel energy minimization criterion for color image | segmentation | , A |
| Novel Euler's Elastica-Based | segmentation | Approach for Noisy Images Using the Progressive Hedging Algorithm, A |
| Novel Framework Based on Mask R-CNN and Histogram Thresholding for Scalable | segmentation | of New and Old Rural Buildings, A |
| novel framework for motion | segmentation | and tracking by clustering incomplete trajectories, A |
| novel framework for N-D multimodal image | segmentation | using graph cuts, A |
| novel framework for | segmentation | of stroke lesions in Diffusion Weighted MRI using multiple b-value data, A |
| novel framework for semantic | segmentation | with generative adversarial network, A |
| Novel Fusion Approach Based on the Global Consistency Criterion to Fusing Multiple | segmentation | s, A |
| Novel fuzzy clustering algorithm with variable multi-pixel fitting spatial information for image | segmentation | |
| Novel Fuzzy | segmentation | Approach for Brain MRI, A |
| novel Gaussian Scale Space-based joint MGRF framework for precise lung | segmentation | , A |
| Novel Graph Based Clustering Technique for Hybrid | segmentation | of Multi-spectral Remotely Sensed Images, A |
| Novel Graph-Based | segmentation | Method for Breast Ultrasound Images, A |
| Novel Ground-Based Cloud Image | segmentation | Method Based on a Multibranch Asymmetric Convolution Module and Attention Mechanism, A |
| Novel Hierarchical Technique for Range | segmentation | of Large Building Exteriors, A |
| Novel High Breakdown M-estimator for Visual Data | segmentation | , A |
| Novel Hybrid Method for Urban Green Space | segmentation | from High-Resolution Remote Sensing Images, A |
| Novel Hybrid | segmentation | Method for Medical Images Based on Level Set, A |
| novel image | segmentation | model with an edge weighting function, A |
| Novel Iris | segmentation | Method for Hand-Held Capture Device, A |
| Novel Iterative Method for Airway Tree | segmentation | from CT Imaging Using Multiscale Leakage Detection, A |
| novel lacunarity estimation method applied to SAR image | segmentation | , A |
| novel level set method for image | segmentation | by incorporating local statistical analysis and global similarity measurement, A |
| Novel local information kernelized fuzzy C-means algorithm for image | segmentation | |
| novel Markov random field model based on region adjacency graph for T1 magnetic resonance imaging brain | segmentation | , A |
| Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image | segmentation | , A |
| novel method for automatic face | segmentation | , facial feature extraction and tracking, A |
| novel method for breast mass | segmentation | : from superpixel to subpixel segmentation, A |
| novel method for breast mass | segmentation | : from superpixel to subpixel segmentation, A |
| Novel Method for Embedded Text | segmentation | Based on Stroke and Color, A |
| Novel Method for Fingerprint Image | segmentation | Based on Adaptative Gabor Filters, A |
| Novel Method for Low-Contrast and High-Noise Vessel | segmentation | and Location in Venipuncture, A |
| novel method for object tracking and | segmentation | using online Hough forests and convex relaxation, A |
| Novel Method for | segmentation | of Breast Masses Based on Mammography Images, A |
| novel method of text line | segmentation | for historical document image of the uchen Tibetan, A |
| Novel Metric on Partitions for Image | segmentation | , A |
| Novel Model-Based 3D {+} Time Left Ventricular | segmentation | Technique, A |
| novel moving object | segmentation | framework utilizing camera motion recognition for H.264 compressed videos, A |
| novel multi-atlas and multi-channel (MAMC) approach for multiple sclerosis lesion | segmentation | in brain MRI, A |
| Novel Multi-Atlas | segmentation | by Matrix Completion |
| novel multi-loss-based deep adversarial network for handling challenging cases in semi-supervised image semantic | segmentation | , A |
| Novel Multifractal Estimation Method and Its Application to Remote Image | segmentation | , A |
| Novel Multiresolution Color Image | segmentation | Technique and Its Application to Dermatoscopic Image Segmentation, A |
| Novel Multiresolution Color Image | segmentation | Technique and Its Application to Dermatoscopic Image Segmentation, A |
| novel NAM-based image | segmentation | using hierarchical density-based spatial clustering, A |
| Novel Noncontrast-Based Edge Descriptor for Image | segmentation | |
| Novel Object-Based Deep Learning Framework for Semantic | segmentation | of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks, A |
| novel online fingerprint | segmentation | method based on frame-difference, A |
| Novel OpenMVS-Based Texture Reconstruction Method Based on the Fully Automatic Plane | segmentation | for 3D Mesh Models, A |
| novel overlapping mice macrophages images | segmentation | method, A |
| Novel Parallel Algorithm with Map | segmentation | for Multiple Geographical Feature Label Placement Problem, A |
| Novel Pixon-Based Approach for Image | segmentation | Using Wavelet Thresholding Method, A |
| Novel Pixon-Representation for Image | segmentation | Based on Markov Random Field, A |
| Novel precision target detection with adaptive thresholding for dynamic image | segmentation | |
| novel probabilistic simultaneous | segmentation | and registration using level set, A |
| novel prognosis and | segmentation | of necrosis (dead cells) in contrast enhanced T1-weighted glioblastoma tumor with automatic contextual clustering, A |
| novel quality control procedure for the evaluation of laser scanning data | segmentation | , A |
| Novel Real-Time Edge-Guided LiDAR Semantic | segmentation | Network for Unstructured Environments, A |
| Novel Recursive Bayesian Learning-Based Method for the Efficient and Accurate | segmentation | of Video With Dynamic Background, A |
| Novel Region of Interest Extraction Layer for Instance | segmentation | , A |
| Novel Right Ventricle | segmentation | Approach from Local Spatio-temporal MRI Information, A |
| Novel Rigid Object | segmentation | Method Based on Multiresolution 3-d Motion and Luminance Analysis, A |
| Novel Robust Algorithm for Image | segmentation | , A |
| Novel Rotationally Invariant Region-Based Hidden Markov Model for Efficient 3-D Image | segmentation | , A |
| Novel | segmentation | Algorithm for Digital Subtraction Angiography Images: First Experimental Results, A |
| Novel | segmentation | algorithm for identification of cell membrane staining in HER2 images |
| Novel | segmentation | algorithm for jacquard patterns based on multi-view image fusion |
| novel | segmentation | algorithm for pulmonary nodule in chest radiograph, A |
| Novel | segmentation | and Recognition Algorithm for Chinese Handwritten Address Character Strings, A |
| Novel | segmentation | Based Depth Map Up-Sampling, A |
| Novel | segmentation | Error Minimization-Based Method for Multilevel Optimal Threshold Selection Using Opposition Equilibrium Optimizer, A |
| Novel | segmentation | Method for Left Ventricular from Cardiac MR Images Based on Improved Markov Random Field Model, A |
| novel | segmentation | method of handwritten Chinese number character strings, A |
| Novel | segmentation | Strategy Based on Colour Channels Coupling, A |
| novel | segmentation | technique for online handwritten Bangla words, A |
| novel Shape Constrained Feature-based Active Contour model for lips/mouth | segmentation | in the wild, A |
| Novel Short Merged Off-line Handwritten Chinese Character String | segmentation | Algorithm Using Hidden Markov Model, A |
| novel similarity-based approach for image | segmentation | , A |
| Novel Snake Model for X-Ray Image | segmentation | , A |
| Novel target | segmentation | and tracking based on fuzzy membership distribution for vision-based target tracking system |
| Novel Technique for Image | segmentation | Based on Grammar Parsing and Hilbert Transform |
| Novel Technique for Unsupervised Texture | segmentation | , A |
| novel technique to extract accurate cell contours applied for | segmentation | of phytoplankton images, A |
| novel texture | segmentation | method based on co-occurrence energy-driven parametric active contour model, A |
| Novel Texture-Preceded | segmentation | Algorithm for High-Resolution Imagery, A |
| novel thin elongated objects | segmentation | based on fuzzy connectedness and GMM learning, A |
| novel threshold score based multiclass | segmentation | technique for brain magnetic resonance images using adaptive opposition slime mold algorithm, A |
| Novel tile | segmentation | scheme for omnidirectional video |
| Novel Topic-Level Random Walk Framework for Scene Image Co- | segmentation | , A |
| Novel Two Stage Evaluation Methodology for Word | segmentation | Techniques, A |
| novel two-tier Bayesian based method for hair | segmentation | , A |
| Novel Type-2 Fuzzy C-Means Clustering for Brain MR Image | segmentation | , A |
| Novel Unsupervised Multiresolution Texture | segmentation | Approach, A |
| Novel Unsupervised | segmentation | Method for MR Brain Images Based on Fuzzy Methods, A |
| Novel Vegetation Point Cloud Density Tree- | segmentation | Model for Overlapping Crowns Using UAV LiDAR, A |
| Novel Vessel | segmentation | Algorithm for Pathological Retina Images Based on the Divergence of Vector Fields, A |
| Novel Weakly Supervised Multitask Architecture for Retinal Lesions | segmentation | on Fundus Images, A |
| Novel Weakly Supervised Remote Sensing Landslide Semantic | segmentation | Method: Combining CAM and cycleGAN Algorithms, A |
| Novel Weakly Supervised | segmentation | Approach for Rapid Left Ventricle Annotation, A |
| novel weakly supervised semantic | segmentation | framework to improve the resolution of land cover product, A |
| Novel Word | segmentation | Method Based on Object Detection and Deep Learning, A |
| NPCFORMER: Automatic Nasopharyngeal Carcinoma | segmentation | Based on Boundary Attention and Global Position Context Attention |
| NRN-RSSEG: A Deep Neural Network Model for Combating Label Noise in Semantic | segmentation | of Remote Sensing Images |
| NSST and vector-valued C-V model based image | segmentation | algorithm |
| NU-Net: Deep Residual Wide Field of View Convolutional Neural Network for Semantic | segmentation | |
| Nuclear-Medicine Image | segmentation | Using a Connective Network |
| Nuclei | segmentation | of Cervical Cell Images Based on Intermediate Segment Qualifier |
| Nuclei | segmentation | of fluorescence microscopy images based on midpoint analysis and marked point process |
| Nuclei | segmentation | of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks |
| Nugget-Cut: A | segmentation | Scheme for Spherically- and Elliptically-Shaped 3D Objects |
| Null space clustering with applications to motion | segmentation | and face clustering |
| Number-Adaptive Prototype Learning for 3D Point Cloud Semantic | segmentation | |
| Number-Driven Perceptual | segmentation | of Natural Color Images for Easy Decision of Optimal Result |
| Numerical methods for interactive multiple-class image | segmentation | problems |
| O(N) implicit subspace embedding for unsupervised multi-scale image | segmentation | |
| OBJCUT: Efficient | segmentation | Using Top-Down and Bottom-Up Cues |
| Object Affinity Learning: Towards Annotation-Free Instance | segmentation | |
| Object Aware Contrastive Prior for Interactive Image | segmentation | |
| Object Based | segmentation | of Video Using Color, Motion and Spatial Information |
| Object Boundary Guided Semantic | segmentation | |
| Object Bounding Transformed Network for End-to-End Semantic | segmentation | |
| Object Category Specific MRF for | segmentation | , An |
| Object Class | segmentation | using Random Forests |
| Object Class | segmentation | Using Reliable Regions |
| Object Co- | segmentation | Based on Directed Graph Clustering |
| Object Co- | segmentation | Based on Shortest Path Algorithm and Saliency Model |
| Object Co- | segmentation | via Graph Optimized-Flexible Manifold Ranking |
| Object co- | segmentation | via weakly supervised data fusion |
| Object Co-skeletonization with Co- | segmentation | |
| Object Contour Refinement Using Instance | segmentation | in Dental Images |
| Object count/area graphs for the evaluation of object detection and | segmentation | algorithms |
| Object Counting and Instance | segmentation | With Image-Level Supervision |
| Object detection and identification by hierarchical | segmentation | |
| Object Detection and Image | segmentation | with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends |
| Object Detection and Image | segmentation | with Deep Learning on Earth Observation Data: A Review: Part II: Applications |
| Object detection and | segmentation | from joint embedding of parts and pixels |
| Object detection and | segmentation | on a hierarchical region-based image representation |
| Object Detection and Tracking Under Occlusion for Object-Level RGB-D Video | segmentation | |
| Object Detection and Tracking Using an EM-Based Motion Estimation and | segmentation | Framework |
| Object Detection Combining Recognition and | segmentation | |
| Object Detection in Outdoor Scenes by Disparity Map | segmentation | |
| Object Detection via a Multi-region and Semantic | segmentation | -Aware CNN Model |
| Object detection via boundary structure | segmentation | |
| Object Distance Estimation Based on Stereo Vision and Color | segmentation | with Region Matching |
| Object figure-ground | segmentation | using zero-shot learning |
| Object Guided | segmentation | of Aerial Images |
| Object Instance | segmentation | and Fine-Grained Localization Using Hypercolumns |
| Object Instance | segmentation | in Digital Terrain Models |
| Object level image saliency by hierarchical | segmentation | |
| Object localization and border detection criteria design in edge-based image | segmentation | : automated learning from examples |
| Object localization/ | segmentation | using generic shape priors |
| Object Location in Computed Tomography Images Using Global Local | segmentation | |
| Object of Interest | segmentation | and Tracking by Using Feature Selection and Active Contours |
| Object oriented image | segmentation | |
| Object oriented motion and deformation estimation using composite | segmentation | |
| Object point processes for image | segmentation | |
| Object Point Set Inductive Tracker for Multi-Object Tracking and | segmentation | , An |
| Object proposal by multi-branch hierarchical | segmentation | |
| Object Recognition and Motion Estimation via Joint | segmentation | and B-Spline Contour Matching |
| Object recognition and | segmentation | by non-rigid quasi-dense matching |
| Object recognition and | segmentation | in videos by connecting heterogeneous visual features |
| Object recognition and | segmentation | using SIFT and Graph Cuts |
| Object Recognition by Integrating Multiple Image | segmentation | s |
| Object Recognition from Range Data Prior to | segmentation | |
| Object recognition using | segmentation | for feature detection |
| Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic | segmentation | Approach |
| Object scale selection of hierarchical image | segmentation | with deep seeds |
| Object | segmentation | and binding within a biologically-based neural network model of depth-from-occlusion |
| Object | segmentation | and classification using 3-D range camera |
| Object | segmentation | and feature estimation using shadows |
| Object | segmentation | and labeling by learning from examples |
| Object | segmentation | and Ontologies for MPEG-2 Video Indexing and Retrieval |
| Object | segmentation | and tracking using video locales |
| Object | segmentation | Based on Contour-Skeleton Duality |
| Object | segmentation | by alignment of poselet activations to image contours |
| Object | segmentation | by Long Term Analysis of Point Trajectories |
| Object | segmentation | by traversing a pose-shape manifold |
| Object | segmentation | Ensuring Consistency Across Multi-Viewpoint Images |
| Object | segmentation | for Video Coding |
| Object | segmentation | from a dynamic background using a pixelwise rigidity criterion and application to maritime target recognition |
| Object | segmentation | In Electrical Impedance Tomography For Tactile Sensing |
| Object | segmentation | in multiple views without camera calibration |
| Object | segmentation | in Stereo Image Using Cooperative Line Field in Stochastic Diffusion |
| Object | segmentation | in Texture Images Using Texture Gradient Based Active Contours |
| Object | segmentation | in the deep neural network feature domain from highly cluttered natural scenes |
| Object | segmentation | in video: A hierarchical variational approach for turning point trajectories into dense regions |
| Object | segmentation | in videos from moving camera with MRFs on color and motion features |
| Object | segmentation | of Color Video Sequences |
| Object | segmentation | of Database Images by Dual Multiscale Morphological Reconstructions and Retrieval Applications |
| Object | segmentation | through Multiple Instance Learning |
| Object | segmentation | Tracking from Generic Video Cues |
| Object | segmentation | using ant colony optimization algorithm and fuzzy entropy |
| Object | segmentation | using feature based conditional morphology |
| Object | segmentation | using graph cuts based active contours |
| Object | segmentation | Using Growing Neural Gas and Generalized Gradient Vector Flow in the Geometric Algebra Framework |
| Object | segmentation | using low-rank representation with multiple block-diagonal priors |
| Object | segmentation | Using Pixel-Wise Adversarial Loss |
| Object | segmentation | with deep regression |
| Object | segmentation | with Region Growing and Principal Component Analysis |
| Object Semantic | segmentation | in Point Clouds: Comparison of a Deep Learning and a Knowledge-Based Method |
| Object Splitting Model Using Higher-Order Active Contours for Single-Cell | segmentation | , An |
| Object stereo: Joint stereo matching and object | segmentation | |
| Object Tracking and | segmentation | in a Closed Loop |
| Object-Agnostic Transformers for Video Referring | segmentation | |
| Object-Based Approach for the Multiscale Image | segmentation | of Mountain Forest Scenes, An |
| Object-Based Augmentation for Building Semantic | segmentation | : Ventura and Santa Rosa Case Study |
| Object-Based Canopy Gap | segmentation | and Classification: Quantifying the Pros and Cons of Integrating Optical and LiDAR Data |
| Object-Based Change Detection in Urban Areas: The Effects of | segmentation | Strategy, Scale, and Feature Space on Unsupervised Methods |
| Object-based image labeling through learning by example and multi-level | segmentation | |
| Object-Based Markov Random Field Model with Anisotropic Penalty for Semantic | segmentation | of High Spatial Resolution Remote Sensing Imagery, An |
| Object-Based Markov Random Field with Partition-Global Alternately Updated for Semantic | segmentation | of High Spatial Resolution Remote Sensing Image, An |
| Object-Based Multiple Foreground | segmentation | in RGBD Video |
| Object-Based Multiple Foreground Video Co- | segmentation | |
| Object-Based Multiple Foreground Video Co- | segmentation | via Multi-State Selection Graph |
| Object-based RGBD image co- | segmentation | with mutex constraint |
| Object-Based Scene | segmentation | Combining Motion and Image Cues |
| Object-based | segmentation | of cultural and natural landscapes using landscape models to derive contextual classification |
| Object-Based Spatial | segmentation | of Video Guided by Depth and Motion Information |
| Object-based video coding by global-to-local motion | segmentation | |
| Object-contextual Representations for Semantic | segmentation | |
| Object-Guided Instance | segmentation | With Auxiliary Feature Refinement for Biological Images |
| Object-Level Image | segmentation | Using Low Level Cues |
| Object-of-interest image | segmentation | based on human attention and semantic region clustering |
| Object-oriented coding using successive motion field | segmentation | and estimation |
| Object-oriented motion estimation and | segmentation | in image sequences |
| Object-oriented texture analysis for the unsupervised | segmentation | of biopsy images for cancer detection |
| Object-Oriented Video Codec Based on Region Growing Motion | segmentation | , An |
| Object-oriented volume | segmentation | |
| Object-Ratio-Preserving Video Retargeting Framework based on | segmentation | and Inpainting |
| Object-Respecting Color Image | segmentation | |
| Object-specific optimization of hierarchical multiscale | segmentation | s for high-spatial resolution remote sensing images |
| Object/Background | segmentation | in FLIR Imagery |
| Objective and quantitative | segmentation | evaluation and comparison |
| Objective evaluation for | segmentation | of microscope images of materials |
| Objective Evaluation of Image Object | segmentation | Quality, The |
| Objective Evaluation of Relative | segmentation | Quality |
| Objective evaluation of | segmentation | quality using spatio-temporal context |
| Objective evaluation of video | segmentation | quality |
| Objects Grouping For | segmentation | Of Roads Network In High Resolution Images Of Urban Areas |
| Obstacle detection system based on colour | segmentation | using monocular vision for an unmanned ground vehicle |
| Occluded Video Instance | segmentation | |
| Occluded Video Instance | segmentation | with Set Prediction Approach |
| Occluded Video Instance | segmentation | : A Benchmark |
| Occlusion Handling in Video | segmentation | via Predictive Feedback |
| Occlusion-Aware Instance | segmentation | Via BiLayer Network Architectures |
| Occlusion-Aware Object Localization, | segmentation | and Pose Estimation |
| Occlusion-invariant face recognition using simultaneous | segmentation | |
| Occupancy Grid Generation With Dynamic Obstacle | segmentation | in Stereo Images |
| OccuSeg: Occupancy-Aware 3D Instance | segmentation | |
| OCNet: Object Context for Semantic | segmentation | |
| OCR-character | segmentation | using Routing based fast replacement paths in Reach Algorithm, An |
| OCT chorio-retinal | segmentation | with adversarial loss |
| OCT Image | segmentation | Using Neural Architecture Search and SRGAN |
| OCT retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic | segmentation | |
| OCTA Retinal Vessel | segmentation | Based on Vessel Thickness Inconsistency Loss |
| Octree-based region growing for point cloud | segmentation | |
| Octree-based | segmentation | for terrestrial LiDAR point cloud data in industrial applications |
| OCVOS: Object-Centric Representation for Video Object | segmentation | |
| OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels | segmentation | |
| Off-line handwritten Arabic character | segmentation | algorithm: ACSA |
| Off-Line Handwritten Numeral String Recognition by Combining | segmentation | -Based and Segmentation-Free Methods |
| Off-Line Handwritten Numeral String Recognition by Combining | segmentation | -Based and Segmentation-Free Methods |
| Off-line recognition of realistic Chinese handwriting using | segmentation | -free strategy |
| Offline Handwritten Arabic Character | segmentation | with Probabilistic Model |
| Offline handwritten Devanagari word recognition: A | segmentation | based approach |
| Offline-to-Online Knowledge Distillation for Video Instance | segmentation | |
| Offset Curves Loss for Imbalanced Problem in Medical | segmentation | |
| Offshore Oil Platform Detection in Polarimetric SAR Images Using Level Set | segmentation | of Limited Initial Region and Convolutional Neural Network |
| Oil sand image | segmentation | using the inclusion filter |
| Oil Spill Identification in Radar Images Using a Soft Attention | segmentation | Model |
| Oil Spill | segmentation | in Ship-Borne Radar Images with an Improved Active Contour Model |
| Oil Spill | segmentation | via Adversarial f-Divergence Learning |
| old greek handwritten OCR system based on an efficient | segmentation | -free approach, An |
| Omni-supervised Point Cloud | segmentation | via Gradual Receptive Field Component Reasoning |
| Omnilingual | segmentation | -Free Word Spotting for Ancient Manuscripts Indexation |
| Omnisupervised Omnidirectional Semantic | segmentation | |
| On 3D face feature | segmentation | using implicit surface active contours |
| On 3D Scanning, Reconstruction, Enhancement, and | segmentation | of Logs |
| On a Methodology for Robust | segmentation | of Nonideal Iris Images |
| On a Quest for Image Descriptors Based on Unsupervised | segmentation | Maps |
| On Adapting Pixel-based Classification to Unsupervised Texture | segmentation | |
| On Advantages of Mask-level Recognition for Outlier-aware | segmentation | |
| On Attribute Thresholding and Data Mapping Functions in a Supervised Connected Component | segmentation | Framework |
| On automated tongue image | segmentation | in Chinese medicine |
| On Calibrating Semantic | segmentation | Models: Analyses and An Algorithm |
| On Cluster Validity Indexes in Fuzzy and Hard Clustering Algorithms for Image | segmentation | |
| On combining graph-partitioning with non-parametric clustering for image | segmentation | |
| On Combining Multiple | segmentation | s in Scene Text Recognition |
| On Detection, Data Association and | segmentation | for Multi-Target Tracking |
| On Digital Mammogram | segmentation | and Microcalcification Detection Using Multiresolution Wavelet Analysis |
| On Evaluation of | segmentation | -Free Word Spotting Approaches without Hard Decisions |
| On Face | segmentation | , Face Swapping, and Face Perception |
| On fusion for robust motion | segmentation | |
| On Hierarchical Color | segmentation | and Applications |
| On hierarchical | segmentation | for image compression |
| On image | segmentation | for object-based image retrieval |
| On Influence of Line | segmentation | in Efficient Word Segmentation in Old Manuscripts |
| On Influence of Line | segmentation | in Efficient Word Segmentation in Old Manuscripts |
| On Manifold Structure of Cardiac MRI Data: Application to | segmentation | |
| On minimum spanning tree streaming for hierarchical | segmentation | |
| On Moving Object | segmentation | from Monocular Video with Transformers |
| On Parameter Learning in CRF-Based Approaches to Object Class Image | segmentation | |
| On performance limits of image | segmentation | algorithms |
| On Regularized Losses for Weakly-supervised CNN | segmentation | |
| On Scene | segmentation | and Histograms-Based Curve Evolution |
| On | segmentation | evaluation metrics and region counts |
| On | segmentation | of CS reconstructed MR images |
| On | segmentation | of Documents in Complex Scripts |
| On | segmentation | of Maxillary Sinus Membrane using Automatic Vertex Screening |
| On | segmentation | of Touching Characters and Overlapping Lines in Degraded Printed Gurmukhi Script |
| On Selecting an Optimal Number of Clusters for Color Image | segmentation | |
| On semantic image | segmentation | using deep convolutional neural network with shortcuts and easy class extension |
| On Symbiosis of Attribute Prediction and Semantic | segmentation | |
| On Symmetry, Perspectivity, and Level-Set-Based | segmentation | |
| On the Application of the Spectral Projected Gradient Method in Image | segmentation | |
| On the Color Image | segmentation | Algorithm Based on the Thresholding and the Fuzzy C-Means Techniques |
| On the Combination of a Polynomial Motion Estimation with a Hierarchical | segmentation | Based Video Coding Scheme |
| On the Correlation of Automatic Audio and Visual | segmentation | s of Music Videos |
| On the Design and Evaluation of Multiobjective Single-Channel SAR Image | segmentation | Algorithms |
| On the Difficulties Involved in the | segmentation | of Pictures |
| On the Domain Generalization Capabilities of Interactive | segmentation | Methods |
| On the effect of motion | segmentation | techniques in description based adaptive video transmission |
| On the Equivalence Between Hierarchical | segmentation | s and Ultrametric Watersheds |
| On the Evaluation of | segmentation | Methods for Wildland Fire |
| On the Impact of Rain over Semantic | segmentation | of Street Scenes |
| On the implementation of the multi-phase region | segmentation | , solving the hidden phase problem |
| On the Importance of Label Quality for Semantic | segmentation | |
| On the Inclusion of Topological Requirements in CNNs for Semantic | segmentation | Applied to Radiotherapy |
| On the Iterative Refinement of Densely Connected Representation Levels for Semantic | segmentation | |
| On the Length and Area Regularization for Multiphase Level Set | segmentation | |
| On the Objectivity of the Objective Function: Problems with Unsupervised | segmentation | Evaluation Based on Global Score and a Possible Remedy |
| On the Performance Characterisation of Image | segmentation | Algorithms: A Case Study |
| On the Processing of Fuzzy Patterns for Text Independent Phonetic Speech | segmentation | |
| On the Real-Time Semantic | segmentation | of Aphid Clusters in the Wild |
| On the Relationship Between Image and Motion | segmentation | |
| On the relevance of edge-conditioned convolution for GNN-based semantic image | segmentation | using spatial relationships |
| On the Repeatability of 3D Point Cloud | segmentation | Based on Interest Points |
| On the risk of manual annotations in 3D confocal microscopy image | segmentation | |
| On the Road to Online Adaptation for Semantic Image | segmentation | |
| On the Robustness of Semantic | segmentation | Models to Adversarial Attacks |
| On The | segmentation | of Multi Font Printed Uygur Scripts |
| On the | segmentation | of Text in Videos |
| On the | segmentation | of the Cephalonia-Lefkada Transform Fault Zone (Greece) from an InSAR Multi-Mode Dataset of the Lefkada 2015 Sequence |
| On the | segmentation | of Touching Characters |
| On the Structures of Representation for the Robustness of Semantic | segmentation | to Input Corruption |
| On the suitability of different probability distributions for the task of image | segmentation | |
| On the Texture Bias for Few-Shot CNN | segmentation | |
| On the Usage of the Trifocal Tensor in Motion | segmentation | |
| On the Use of a Shape Constraint in a Pixel-Based SAR | segmentation | Algorithm |
| On the use of the overlapping area matrix for image | segmentation | evaluation: A survey and new performance measures |
| On the versatility of popular and recently proposed supervised evaluation metrics for | segmentation | quality of remotely sensed images: An experimental case study of building extraction |
| On Topological Deep-Structure | segmentation | |
| On Two Multigrid Algorithms for Modeling Variational Multiphase Image | segmentation | |
| On Unsupervised | segmentation | of Remotely-Sensed Imagery Using Nonlinear-Regression |
| On-line Arabic Handwriting Recognition System: Based on a New On-line Graphemes | segmentation | Technique, An |
| On-line cursive hangul recognition that uses DP matching to detect key | segmentation | points |
| On-line Learning of Shape Information for Object | segmentation | and Tracking |
| On-line re-training and | segmentation | with reduction of the training set: Application to the left ventricle detection in ultrasound imaging |
| On-line | segmentation | of freehand sketches by knowledge-based nonlinear thresholding operations |
| On-line signature verification using model-guided | segmentation | and discriminative feature selection for skilled forgeries |
| On-Line Speech/Music | segmentation | for Broadcast News Domain |
| On-line video object | segmentation | using illumination-invariant color-texture feature extraction and marker prediction |
| On-Sensor Binarized Fully Convolutional Neural Network for Localisation and Coarse | segmentation | |
| One Class One Click: Quasi scene-level weakly supervised point cloud semantic | segmentation | with active learning |
| One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic | segmentation | , The |
| One Kind of Macrophages Images | segmentation | and Labeling Method |
| One Shot Model for COVID-19 Classification and Lesions | segmentation | in Chest CT Scans Using Long Short-Term Memory Network With Attention Mechanism |
| One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration- | segmentation | of Longitudinal Thoracic Cone Beam CTs |
| One Shot | segmentation | : Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization |
| One Shot | segmentation | : Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization |
| One Sketch for All: One-Shot Personalized Sketch | segmentation | |
| One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic | segmentation | |
| One-Class Support Vector Ensembles for Image | segmentation | and Classification |
| One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor | segmentation | |
| One-shot and Partially-Supervised Cell Image | segmentation | Using Small Visual Prompt |
| One-Shot Generative Adversarial Learning for MRI | segmentation | of Craniomaxillofacial Bony Structures |
| One-Shot Integral Invariant Shape Priors for Variational | segmentation | |
| One-Shot Learning Approach to Document Layout | segmentation | of Ancient Arabic Manuscripts, A |
| One-Shot Object Detection, Single Shot Detector, and | segmentation | |
| One-shot | segmentation | of breast, pectoral muscle, and background in digitised mammograms |
| One-Shot Summary Prototypical Network Toward Accurate Unpaved Road Semantic | segmentation | |
| One-Shot Synthesis of Images and | segmentation | Masks |
| One-Shot Video Object | segmentation | |
| One-Shot Weakly-Supervised | segmentation | in 3D Medical Images |
| One-Stage Domain Adaptation Network With Image Alignment for Unsupervised Nighttime Semantic | segmentation | , A |
| OneFormer: One Transformer to Rule Universal Image | segmentation | |
| OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground | segmentation | , and Fine-grained Clustering |
| Online 3D Shape | segmentation | by Blended Learning |
| Online and real-time mask-guided multi-person tracking and | segmentation | |
| Online Arabic Handwriting Modeling System Based on the Graphemes | segmentation | |
| Online Attention Accumulation for Weakly Supervised Semantic | segmentation | |
| Online Building | segmentation | from Ground-Based LiDAR Data in Urban Scenes |
| Online Crowd Semantic | segmentation | Method Based on Reinforcement Learning, An |
| Online Discriminative Multi-atlas Learning for Isointense Infant Brain | segmentation | |
| Online Domain Adaptation for Semantic | segmentation | in Ever-Changing Conditions |
| Online Figure-ground | segmentation | with Edge Pixel Classification |
| Online Glocal Transfer for Automatic Figure-Ground | segmentation | |
| Online Handwritten Cursive Word Recognition Using | segmentation | -Free MRF in Combination with P2DBMN-MQDF |
| Online Handwritten | segmentation | in Linear Drawings |
| Online handwritten Tibetan syllable recognition based on component | segmentation | method |
| online HDP-HMM for joint action | segmentation | and classification in motion capture data, An |
| Online Kernel Slow Feature Analysis for Temporal Video | segmentation | and Tracking |
| Online Learning for Fast | segmentation | of Moving Objects |
| Online Meta Adaptation for Fast Video Object | segmentation | |
| Online Motion | segmentation | Using Dynamic Label Propagation |
| Online Multi-Task Clustering for Human Motion | segmentation | |
| Online Mutual Foreground | segmentation | for Multispectral Stereo Videos |
| Online recognition of connected handwriting by | segmentation | and template matching |
| Online RGB-D tracking via detection-learning- | segmentation | |
| Online | segmentation | and Classification of Manipulation Actions From the Observation of Kinetostatic Data |
| Online | segmentation | of free-viewpoint video |
| Online | segmentation | of freehand stroke by dynamic programming |
| Online | segmentation | of LiDAR Sequences: Dataset and Algorithm |
| Online | segmentation | of Time Series Based on Polynomial Least-Squares Approximations |
| Online Signature Verification Based on Dynamic | segmentation | and Global and Local Matching |
| Online stroke | segmentation | by quick penalty-based dynamic programming |
| Online Unsupervised Video Object | segmentation | via Contrastive Motion Clustering |
| Online Video Object | segmentation | via Convolutional Trident Network |
| Online video object | segmentation | via LRS representation |
| Online Video | segmentation | by Bayesian Split-Merge Clustering |
| Online Web-Data-Driven | segmentation | of Selected Moving Objects in Videos |
| OnlineRefer: A Simple Online Baseline for Referring Video Object | segmentation | |
| Ontology-Based Semantic Image | segmentation | Using Mixture Models and Multiple CRFs |
| OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and | segmentation | |
| Open Curve | segmentation | Via a 2-Phase Scheme |
| Open Data and Deep Semantic | segmentation | for Automated Extraction of Building Footprints |
| Open Vocabulary Semantic | segmentation | with Patch Aligned Contrastive Learning |
| Open World Entity | segmentation | |
| Open-set Semantic | segmentation | for Point Clouds via Adversarial Prototype Framework |
| Open-Vocabulary Instance | segmentation | via Robust Cross-Modal Pseudo-Labeling |
| Open-vocabulary Object | segmentation | with Diffusion Models |
| Open-vocabulary Panoptic | segmentation | with Embedding Modulation |
| Open-Vocabulary Panoptic | segmentation | with Text-to-Image Diffusion Models |
| Open-vocabulary Semantic | segmentation | Using Test-time Distillation |
| Open-Vocabulary Semantic | segmentation | with Decoupled One-Pass Network |
| Open-Vocabulary Semantic | segmentation | with Mask-adapted CLIP |
| Open-World Instance | segmentation | : Exploiting Pseudo Ground Truth From Learned Pairwise Affinity |
| Open-world Semantic | segmentation | for LIDAR Point Clouds |
| Open-World Semantic | segmentation | via Contrasting and Clustering Vision-Language Embedding |
| Opencc: An open Benchmark data set for Corpus Callosum | segmentation | and Evaluation |
| OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And | segmentation | In-The-Wild |
| Opening up the black box of medical image | segmentation | with statistical shape models |
| Operational Large-Scale | segmentation | of Imagery Based on Iterative Elimination |
| Operator context scanning to support high | segmentation | rates for real time license plate recognition |
| Optic disc and cup | segmentation | by automatic thresholding with morphological operation for glaucoma evaluation |
| Optic disc | segmentation | based on variational model with multiple energies |
| Optic Disc | segmentation | by Means of GA-Optimized Topological Active Nets |
| Optic disc | segmentation | by U-net and probability bubble in abnormal fundus images |
| Optic disc | segmentation | in fundus images using adversarial training |
| Optic Disc | segmentation | Using Cascaded Multiresolution Convolutional Neural Networks |
| Optic Disk and Cup | segmentation | From Monocular Color Retinal Images for Glaucoma Assessment |
| Optic Flow Field | segmentation | and Motion Estimation Using a Robust Genetic Partitioning Algorithm |
| Optic Flow | segmentation | as an Ill-Posed and Maximum Likelihood Problem |
| Optic Nerve Head | segmentation | |
| Optic Nerve Head | segmentation | in HRT Images |
| Optical Braille Recognition Based on Semantic | segmentation | Network with Auxiliary Learning Strategy |
| Optical Character Recognition Without | segmentation | |
| Optical coherence tomography image | segmentation | |
| Optical Flow 3D | segmentation | and Interpretation: A Variational Method with Active Curve Evolution and Level Sets |
| Optical Flow Estimation and | segmentation | of Multiple Moving Dynamic Textures |
| Optical Flow with Semantic | segmentation | and Localized Layers |
| Optical Flow-Guided Cine MRI | segmentation | With Learned Corrections |
| Optical-Flow Estimation and Moving Object | segmentation | Based on Median Radial Basis Function Network |
| Optimal and efficient | segmentation | for 3D vascular forest structure with graph cuts |
| Optimal Co- | segmentation | of Tumor in PET-CT Images With Context Information |
| Optimal Gabor filter design for texture | segmentation | using stochastic optimization |
| Optimal Gabor Filters for Texture | segmentation | |
| Optimal Graph Search Based | segmentation | of Airway Tree Double Surfaces Across Bifurcations |
| Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image | segmentation | , An |
| Optimal Level Curves and Global Minimizers of Cost Functionals in Image | segmentation | |
| Optimal Multiedge Detector for SAR Image | segmentation | , An |
| Optimal Multilevel Thresholding for Image | segmentation | Using Contrast-Limited Adaptive Histogram Equalization and Enhanced Convergence Particle Swarm Optimization |
| Optimal Multiple Surface | segmentation | With Shape and Context Priors |
| Optimal Multiple Threshold Scheme for Image | segmentation | , An |
| Optimal Range | segmentation | Parameters Through Genetic Algorithms |
| Optimal Region Growing Algorithm for Image | segmentation | , An |
| Optimal | segmentation | of a VBR Source for its Parallel Transmission over Multiple ATM Connections |
| Optimal | segmentation | of Cell Images |
| Optimal | segmentation | of dynamic scenes from two perspective views |
| Optimal | segmentation | of High-Resolution Remote Sensing Image by Combining Superpixels With the Minimum Spanning Tree |
| Optimal | segmentation | of signals and its application to image denoising and boundary feature extraction |
| Optimal | segmentation | Scale Parameter, Feature Subset and Classification Algorithm for Geographic Object-Based Crop Recognition Using Multisource Satellite Imagery |
| Optimal Set of Image | segmentation | Rules, An |
| Optimal Surface | segmentation | in Volumetric Images: A Graph-Theoretic Approach |
| Optimal Threshold Selection for | segmentation | of Dense Homogeneous Objects in Tomographic Reconstructions |
| Optimal Threshold Selection for Tomogram | segmentation | by Projection Distance Minimization |
| Optimal Threshold Selection for Tomogram | segmentation | by Reprojection of the Reconstructed Image |
| Optimal Thresholding for Image | segmentation | |
| Optimal Weights for Convex Functionals in Medical Image | segmentation | |
| Optimazation of Multi Resolution | segmentation | of Remotely Sensed Data Using Genetic Alghorithm, The |
| Optimisation of linear dependence energy for object co- | segmentation | in a set of images with heterogeneous contents |
| Optimization Approach to Unsupervised Hierarchical Texture | segmentation | , An |
| Optimization for Medical Image | segmentation | : Theory and Practice When Evaluating With Dice Score or Jaccard Index |
| Optimization Method of Airborne LiDAR Individual Tree | segmentation | Based on Gaussian Mixture Model |
| Optimization of Divergences within the Exponential Family for Image | segmentation | |
| Optimization of Facade | segmentation | Based on Layout Priors |
| Optimization of local shape and appearance probabilities for | segmentation | of knee cartilage in 3-D MR images |
| Optimization of Parameter Settings for Multilevel Image | segmentation | in GEOBIA |
| Optimization of Remote Sensing Image | segmentation | by a Customized Parallel Sine Cosine Algorithm Based on the Taguchi Method |
| Optimization of Variable-Current Charging Strategy Based on SOC | segmentation | for Li-ion Battery |
| Optimization Using Artificial Immune Systems Applied To Object Tracking And | segmentation | |
| Optimization-Based Image | segmentation | by Genetic Algorithms |
| Optimized high speed pixel sorting and its application in watershed based image | segmentation | |
| Optimized Higher Order CRF for Automated Labeling and | segmentation | of Video Objects, An |
| Optimized hybrid classifier for diagnosing diabetic retinopathy: Iterative blood vessel | segmentation | process |
| Optimized minimal path selection (OMPS) method for automatic and unsupervised crack | segmentation | within two-dimensional pavement images |
| Optimized | segmentation | and classification for liver tumor segmentation and classification using opposition-based spotted hyena optimization |
| Optimized | segmentation | and classification for liver tumor segmentation and classification using opposition-based spotted hyena optimization |
| Optimized | segmentation | Based on the Weighted Aggregation Method for Loess Bank Gully Mapping |
| Optimizing and Evaluating a Graph-Based | segmentation | of MRI Wrist Bones |
| Optimizing Block-threshold | segmentation | for MRC Compression |
| Optimizing Block-Thresholding | segmentation | for Multilayer Compression of Compound Images |
| Optimizing Computed Tomographic Angiography Image | segmentation | Using Fitness Based Partitioning |
| Optimizing Curve | segmentation | in Computer Graphics |
| Optimizing image | segmentation | using color model mixtures |
| Optimizing Intersection-Over-Union in Deep Neural Networks for Image | segmentation | |
| Optimizing multi-resolution | segmentation | scale using empirical methods: Exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2) |
| Optimizing multiscale | segmentation | with local spectral heterogeneity measure for high resolution remote sensing images |
| Optimizing Partition Trees for Multi-Object | segmentation | with Shape Prior |
| Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic | segmentation | Architectures |
| Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic | segmentation | |
| Optimum Gabor filter design and local binary patterns for texture | segmentation | |
| Optimum model-based | segmentation | techniques for multifrequency polarimetric SAR images of urban areas |
| Ordering Partial Partitions for Image | segmentation | and Filtering: Merging, Creating and Inflating Blocks |
| Ordinal Multi-Task Part | segmentation | With Recurrent Prior Generation |
| Ore image | segmentation | by learning image and shape features |
| Organ at Risk | segmentation | for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search |
| Organ | segmentation | with Recursive Data Augmentation for Deep Models |
| orientation and resolution independent texture classifier in | segmentation | of images of unknown rotation and scale, An |
| Orientation radiograms for image retrieval: An alternative to | segmentation | |
| Orientation Space Filtering for Multiple Orientation Line | segmentation | |
| Orientation-Aware Semantic | segmentation | on Icosahedron Spheres |
| Oriented Boundary Graph: A Framework to Design and Implement 3D | segmentation | Algorithms |
| Oriented boundary graph: An efficient structuring model for | segmentation | of 3D images |
| Oriented distance regularized level set evolution for image | segmentation | |
| Oriented Flux Symmetry Based Active Contour Model for Three Dimensional Vessel | segmentation | , An |
| Oriented Image Foresting Transform | segmentation | by Seed Competition |
| Oriented image foresting transform | segmentation | with connectivity constraints |
| Oriented Polar Snakes for Phase Contrast Cell Images | segmentation | |
| Oriented relative fuzzy connectedness: theory, algorithms, and its applications in hybrid image | segmentation | methods |
| OrigamiNet: Weakly-Supervised, | segmentation | -Free, One-Step, Full Page Text Recognition by learning to unfold |
| Orthogonal Annotation Benefits Barely-supervised Medical Image | segmentation | |
| Orthogonal Polynomials Supported by Regional Growing | segmentation | for the Extraction of Terrain from Lidar Data |
| Orthophotoplan | segmentation | and Colorimetric Invariants for Roof Detection |
| OSCAR: object | segmentation | using correspondence and relaxation |
| Osegnet: Operational | segmentation | Network for Covid-19 Detection Using Chest X-Ray Images |
| OSFormer: One-Stage Camouflaged Instance | segmentation | with Transformers |
| OSLO: Automatic Cell Counting and | segmentation | for Oligodendrocyte Progenitor Cells |
| OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action | segmentation | |
| Other | segmentation | Techniques |
| Out-of-Candidate Rectification for Weakly Supervised Semantic | segmentation | |
| Outdoor Landmark Recognition Using | segmentation | , Fractal Model and Neural Network |
| Outdoor RGBD Instance | segmentation | With Residual Regretting Learning |
| Outdoor Scene Image | segmentation | Based on Background Recognition and Perceptual Organization |
| Outlier Detection and Motion | segmentation | |
| Outlining of Agricultural Plots Based on Spatiotemporal Consensus | segmentation | , The |
| OVeNet: Offset Vector Network for Semantic | segmentation | |
| Over- | segmentation | Based Background Modeling and Foreground Detection with Shadow Removal by Using Hierarchical MRFs |
| over- | segmentation | method for single-touching Chinese handwriting with learning-based filtering, An |
| Overlap Loss: Rethinking Weakly Supervised Instance | segmentation | in Crowded Scenes |
| Overlapping Cell Nuclei | segmentation | in Digital Histology Images using Intensity-based Contours |
| Overlapping Cell Nuclei | segmentation | Using a Spatially Adaptive Active Physical Model |
| Overlay Accelerator of DeepLab CNN for Spacecraft Image | segmentation | on FPGA, An |
| Overscan Detection in Digitized Analog Films by Precise Sprocket Hole | segmentation | |
| Overview of Interactive Medical Image | segmentation | , An |
| OVIS: Occluded Video Instance | segmentation | |
| P-brush: Continuous valued MRFs with normed pairwise distributions for image | segmentation | |
| P-Minder: A CNN Based Sidewalk | segmentation | Approach for Phubber Safety Applications |
| P53immunostained cell nuclei | segmentation | in tissue images of oral squamous cell carcinoma |
| PA-Seg: Learning From Point Annotations for 3D Medical Image | segmentation | Using Contextual Regularization and Cross Knowledge Distillation |
| PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack | segmentation | |
| Page frame | segmentation | for contextual advertising in print on demand books |
| Page | segmentation | and Classification |
| Page | segmentation | And Classification Utilizing Bottom-up Approach |
| Page | segmentation | and Zone Classification: The State of the Art |
| Page | segmentation | Based on Steerable Pyramid Features |
| Page | segmentation | Based on Thinning of Background |
| Page | segmentation | by White Streams |
| Page | segmentation | Competition |
| Page | segmentation | for Document Image-Analysis Using a Neural-Network |
| Page | segmentation | for Manhattan and non-Manhattan layout documents via selective CRLA |
| Page | segmentation | of Chinese newspapers |
| Page | segmentation | of historical document images with convolutional autoencoders |
| Page | segmentation | of Structured Documents Using 2D Stochastic Context-Free Grammars |
| Page | segmentation | Using a Pyramidal Architecture |
| Page | segmentation | Using Decision Integration and Wavelet Packets |
| Page | segmentation | using document model |
| Page | segmentation | using minimum homogeneity algorithm and adaptive mathematical morphology |
| Page | segmentation | Using Texture Analysis |
| Page | segmentation | using texture discrimination masks |
| Page | segmentation | Using the Description of the Background |
| Page | segmentation | without rectangle assumption |
| Page | segmentation | , General Evaluations |
| PaI-Net: A modified U-Net of reducing semantic gap for surgical instrument | segmentation | |
| Pairwise Similarities across Images for Multiple View Rigid/Non-Rigid | segmentation | and Registration |
| Pairwise similarities for scene | segmentation | combining color and depth data |
| Palette based colour transfer using image | segmentation | |
| PANDA: Adapting Pretrained Features for Anomaly Detection and | segmentation | |
| PANet: Few-Shot Image Semantic | segmentation | With Prototype Alignment |
| Panoptic Feature Fusion Net: A Novel Instance | segmentation | Paradigm for Biomedical and Biological Images |
| Panoptic SegFormer: Delving Deeper into Panoptic | segmentation | with Transformers |
| Panoptic | segmentation | |
| Panoptic | segmentation | |
| Panoptic | segmentation | Forecasting |
| Panoptic | segmentation | Forecasting |
| Panoptic | segmentation | in Industrial Environments Using Synthetic and Real Data |
| Panoptic | segmentation | Meets Remote Sensing |
| Panoptic | segmentation | of Galactic Structures in LSB Images |
| Panoptic | segmentation | of Satellite Image Time Series with Convolutional Temporal Attention Networks |
| Panoptic SwiftNet: Pyramidal Fusion for Real-Time Panoptic | segmentation | |
| Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic | segmentation | |
| Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic | segmentation | |
| Panoptic-PartFormer: Learning a Unified Model for Panoptic Part | segmentation | |
| Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic | segmentation | via Clustering Pseudo Heatmap |
| Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic | segmentation | |
| PanopticDepth: A Unified Framework for Depth-aware Panoptic | segmentation | |
| PanopticRoad: Integrated Panoptic Road | segmentation | Under Adversarial Conditions |
| PanopticVis: Integrated Panoptic | segmentation | for Visibility Estimation at Twilight and Night |
| Panoramic Panoptic | segmentation | : Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning |
| Panoramic Video | segmentation | Using Color Mixture Models |
| Paper web defection | segmentation | using Gauss-Markov random field texture features |
| Paragraph text | segmentation | into lines with Recurrent Neural Networks |
| Parallax Motion Effect Generation Through Instance | segmentation | And Depth Estimation |
| Parallel 3D Image | segmentation | of Large Data Sets on a GPU Cluster |
| Parallel Algorithm for Stochastic Image | segmentation | , A |
| Parallel Algorithms for Image Enhancement and | segmentation | by Region Growing with an Experimental Study |
| Parallel Complement Network for Real-Time Semantic | segmentation | of Road Scenes |
| Parallel Detection-and- | segmentation | Learning for Weakly Supervised Instance Segmentation |
| Parallel Detection-and- | segmentation | Learning for Weakly Supervised Instance Segmentation |
| Parallel Double Snakes. Application to the | segmentation | of retinal layers in 2D-OCT for pathological subjects |
| Parallel fuzzy | segmentation | of multiple objects |
| Parallel global convolutional network for semantic image | segmentation | |
| Parallel Image | segmentation | Algorithm Using Relaxation with Varying Neighborhoods and Its Mapping to Array Processors, A |
| Parallel Image | segmentation | Using Modified Hopfield Model |
| Parallel Image | segmentation | with Adaptive Mesh |
| Parallel implementation for 3D medical volume fuzzy | segmentation | |
| Parallel Implementation for Computing the Region-Adjacency-Tree of a | segmentation | of a 2D Digital Image, A |
| Parallel Implementation of Geodesic Distance Transform with Application in Superpixel | segmentation | |
| parallel LEGION algorithm and cell-based architecture for real time split and merge video | segmentation | , A |
| parallel mapping of optical flow to Compute Unified Device Architecture for motion-based image | segmentation | , A |
| Parallel matters: Efficient polyp | segmentation | with parallel structured feature augmentation modules |
| Parallel Regional | segmentation | Method of High-Resolution Remote Sensing Image Based on Minimum Spanning Tree |
| Parallel Structure Recognition with Uncertainty: Coupled | segmentation | and Matching |
| Parallel Technique for Three-Dimensional Image | segmentation | , A |
| Parallel Texture Region | segmentation | using a Pearl Bayes Network |
| Parallel Texture Region | segmentation | using a Pearl Bayes Network |
| Parallel Volume Image | segmentation | with Watershed Transformation |
| Parallel volume | segmentation | with tetrahedral adaptive grid |
| Parallel Watershed Algorithms for Image | segmentation | |
| Parallelized | segmentation | of a serially sectioned whole human brain |
| Parallelizing motion | segmentation | by perceptual organization of XYT |
| Parameter Efficient Local Implicit Image Function Network for Face | segmentation | |
| Parameter Estimation and Energy Minimization for Region-Based Semantic | segmentation | |
| Parameter estimation and | segmentation | of noisy or textured images using the EM algorithm and MPM estimation |
| Parameter Estimation and Two-Stage | segmentation | Algorithm for the Chan-Vese Model |
| Parameter estimation, multiscale representation and algorithms for energy-minimizing | segmentation | s |
| Parameter Selection for Graph Cut Based Image | segmentation | |
| Parameter selection for suppressed fuzzy c-means with an application to MRI | segmentation | |
| Parameter-Estimation in Hidden Fuzzy Markov Random-Fields and Image | segmentation | |
| Parameter-free hierarchical image | segmentation | |
| Parameter-Free Selective | segmentation | With Convex Variational Methods |
| Parametric active contour model using Gabor balloon energy for texture | segmentation | |
| Parametric active membrane for | segmentation | of multiple objects in an image |
| Parametric Active Polygon for Leaf | segmentation | and Shape Estimation, A |
| Parametric Depth Based Feature Representation Learning for Object Detection and | segmentation | in Bird's-Eye View |
| Parametric Distributional Clustering for Image | segmentation | |
| Parametric Image | segmentation | of Humans with Structural Shape Priors |
| Parametric model-based motion | segmentation | using surface selection criterion |
| Parametric models of linear prediction error distribution for color texture and satellite image | segmentation | |
| Parametric Shape Modeling Using Deformable Superellipses for Prostate | segmentation | |
| Parametric Surface Diffeomorphometry for Low Dimensional Embeddings of Dense | segmentation | s and Imagery |
| Parasitic GAN for Semi-Supervised Brain Tumor | segmentation | |
| Paris-Lille-3D: A Point Cloud Dataset for Urban Scene | segmentation | and Classification |
| Parsimonious Model Selection for Tissue | segmentation | and Classification Applications: A Study Using Simulated and Experimental DTI Data |
| Part propagation for local part | segmentation | |
| Part | segmentation | for Object Recognition |
| Part | segmentation | from 2D Edge Images by the MDL Criterion |
| Part | segmentation | of objects in real images |
| Part | segmentation | of slice data using regularity |
| Part | segmentation | of Unseen Objects using Keypoint Guidance |
| Part | segmentation | of Visual Hull for 3D Human Pose Estimation |
| Part-aware Panoptic | segmentation | |
| Part-aware Prototype Network for Few-Shot Semantic | segmentation | |
| Part-based clothing | segmentation | for person retrieval |
| Part-based localisation and | segmentation | of landmark-related auditory cortical regions |
| Part-based object detection into a hierarchy of image | segmentation | s combining color and topology |
| Part-Based | segmentation | by Skeleton Cut Space Analysis |
| PartDistillation: Learning Parts from Instance | segmentation | |
| PartGlot: Learning Shape Part | segmentation | from Language Reference Games |
| Partial Class Activation Attention for Semantic | segmentation | |
| Partial Domain Adaptation on Semantic | segmentation | |
| Partial membership latent Dirichlet allocation for image | segmentation | |
| Partial Membership Latent Dirichlet Allocation for Soft Image | segmentation | |
| Partial Partitions, Partial Connections and Connective | segmentation | |
| Partial Point Cloud Registration Via Soft | segmentation | |
| Partial sparse shape constrained sector-driven bladder wall | segmentation | |
| Partial Unbalanced Feature Transport for Cross-Modality Cardiac Image | segmentation | |
| Partially Occluded Object-Specific | segmentation | in View-Based Recognition |
| Partially Supervised Clustering for Image | segmentation | |
| Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and | segmentation | , A |
| Particle Swarm Optimization Approach for the | segmentation | of Retinal Vessels from Fundus Images |
| Particle Swarm Optimization for Object Detection and | segmentation | |
| Particle System Model for Combining Edge Information from Multiple | segmentation | Modules, A |
| Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image | segmentation | , A |
| Partition-based Image Representation as Basis for User-assisted | segmentation | |
| Partition-distance methods for assessing spatial | segmentation | s of images and videos |
| Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture | segmentation | and Cell Splitting |
| PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape | segmentation | |
| Parts-based | segmentation | with overlapping part models using Markov chain Monte Carlo |
| PARTS: Unsupervised | segmentation | with slots, attention and independence maximization |
| PartSLIP: Low-Shot Part | segmentation | for 3D Point Clouds via Pretrained Image-Language Models |
| PASS: Panoramic Annular Semantic | segmentation | |
| Passenger | segmentation | Using Smart Card Data |
| PASTS: Toward Effective Distilling Transformer for Panoramic Semantic | segmentation | |
| Patch SVDD: Patch-level Svdd for Anomaly Detection and | segmentation | |
| Patch Volumes: | segmentation | -Based Consistent Mapping with RGB-D Cameras |
| Patch-Based Approach for the | segmentation | of Pathologies: Application to Glioma Labelling, A |
| Patch-Based Evaluation of Image | segmentation | |
| Patch-based fully convolutional neural network with skip connections for retinal blood vessel | segmentation | |
| Patch-Based Hippocampus | segmentation | Using a Local Subspace Learning Method |
| Patch-Based Image | segmentation | of Satellite Imagery Using Minimum Spanning Tree Construction |
| Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup | segmentation | |
| Patch-Based Texture Edges and | segmentation | |
| Patch-cuts: A Graph-based Image | segmentation | Method Using Patch Features and Spatial Relations |
| Patch-Wise Semantic | segmentation | for Hyperspectral Images via a Cubic Capsule Network with EMAP Features |
| PatchCut: Data-driven object | segmentation | via local shape transfer |
| PatchPerPix for Instance | segmentation | |
| PatchRefineNet: Improving Binary | segmentation | by Incorporating Signals from Optimal Patch-wise Binarization |
| Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and | segmentation | in Video Streams |
| Patchy Aurora Image | segmentation | Based on ALBP and Block Threshold |
| Patchy aurora image | segmentation | based on block threshold LBP |
| Path Aggregation Network for Instance | segmentation | |
| path assigned mean shift algorithm: A new fast mean shift implementation for colour image | segmentation | , The |
| Path Based Pairwise Data Clustering with Application to Texture | segmentation | |
| Path Evaluation and Character Classifier Training on Integrated | segmentation | and Recognition of Online Handwritten Japanese Character String |
| Path-based clustering for grouping of smooth curves and texture | segmentation | |
| Pathological liver | segmentation | using stochastic resonance and cellular automata |
| Pathological Retinal Region | segmentation | From OCT Images Using Geometric Relation Based Augmentation |
| PaTHOS: Part-Based Tree Hierarchy for Object | segmentation | |
| Patient Specific Prostate | segmentation | in 3-D Magnetic Resonance Images |
| Pattern Classification Algorithms for Real-Time Image | segmentation | |
| Pattern Classification Approach to Multilevel Thresholding for Image | segmentation | , A |
| Pattern Recognition and | segmentation | of Administrative Boundaries Using a One-Dimensional Convolutional Neural Network and Grid Shape Context Descriptor |
| Pattern recognition employing arbitrary | segmentation | and compound probabilistic evaluation |
| Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic | segmentation | |
| Paying attention for adjacent areas: Learning discriminative features for large-scale 3D scene | segmentation | |
| PCAF-Net: A liver | segmentation | network based on deep learning |
| PCANet: Pyramid Context-aware Network for Retinal Vessel | segmentation | |
| PCANet: Pyramid convolutional attention network for semantic | segmentation | |
| PCTrans: Position-Guided Transformer with Query Contrast for Biological Instance | segmentation | |
| PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance | segmentation | in Microscopy Images |
| PDE-based modeling of image | segmentation | using volumic flooding |
| PDE-Based Region Tracking without Motion Computation by Joint Space-Time | segmentation | |
| PDNet: Semantic | segmentation | integrated with a primal-dual network for document binarization |
| Peak-Graph-Based Fast Density Peak Clustering for Image | segmentation | |
| PeakConv: Learning Peak Receptive Field for Radar Semantic | segmentation | |
| Pectoral Muscle | segmentation | in Mammograms Based on Cartoon-Texture Decomposition |
| Pectoral muscle | segmentation | in mammograms based on homogenous texture and intensity deviation |
| Pectoralis Muscle | segmentation | on CT Images Based on Bayesian Graph Cuts with a Subject-Tailored Atlas |
| PedCut: an iterative framework for pedestrian | segmentation | combining shape models and multiple data cues |
| Pedestrian Image | segmentation | via Shape-Prior Constrained Random Walks |
| Pedestrian instance | segmentation | with prior structure of semantic parts |
| Pedestrian | segmentation | From Uncalibrated Monocular Videos Using a Projection Map |
| Pedestrian | segmentation | in Infrared Images Based on Circular Shortest Path |
| Pefnet: Positional Embedding Feature for Polyp | segmentation | |
| Pelvic Organ | segmentation | Using Distinctive Curve Guided Fully Convolutional Networks |
| Penalizing Top Performers: Conservative Loss for Semantic | segmentation | Adaptation |
| People Counting by Video | segmentation | and Tracking |
| People re-identification across multiple non-overlapping cameras system by appearance classification and silhouette part | segmentation | |
| People Tracking and | segmentation | Using Efficient Shape Sequences Matching |
| People tracking and | segmentation | using spatiotemporal shape constraints |
| People Tracking Based on Predictions and Graph-Cuts | segmentation | |
| People-background | segmentation | with unequal error cost |
| Per-Clip Video Object | segmentation | |
| Per-pixel translational symmetry detection, optimization, and | segmentation | |
| Perceive, Excavate and Purify: A Novel Object Mining Framework for Instance | segmentation | |
| Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic | segmentation | |
| Perception-based 3D triangle mesh | segmentation | using fast marching watersheds |
| Perception-Based Image | segmentation | Using the Bounded Irregular Pyramid |
| Perceptual Consistency in Video | segmentation | |
| Perceptual Grouping and | segmentation | by Stochastic Clustering |
| Perceptual Information of Images and the Bias in Homogeneity-based | segmentation | |
| Perceptual Model of Handwriting Drawing, Application To the handwriting | segmentation | Problem |
| Perceptual Organization Based Computational Model for Robust | segmentation | of Moving Objects |
| Perceptual Organization for Scene | segmentation | and Description |
| Perceptual Organization for | segmentation | and Description |
| Perceptual Organization of Visual Images: | segmentation | as a Basis for Recognition, The |
| Perceptual Prediction Framework for Self Supervised Event | segmentation | , A |
| Perceptual | segmentation | Algorithm and Its Application to Image Coding |
| Perceptual | segmentation | of Nonhomogeneous Dot Patterns |
| Perceptual | segmentation | : Combining Image Segmentation With Object Tagging |
| Perceptual | segmentation | : Combining Image Segmentation With Object Tagging |
| Perceptual Smoothing and | segmentation | of Colour Textures |
| Perceptual Variation Stacking: Test Time Augmentations in Endoscopy Image | segmentation | |
| Perceptually friendly shape decomposition by resolving | segmentation | points with minimum cost |
| Perceptually Inspired Layout-Aware Losses for Image | segmentation | |
| Perceptually Organized EM: A Framework for Motion | segmentation | That Combines Information about Form and Motion |
| Perceptually-tuned multiscale color-texture | segmentation | |
| Perceptually-Weighted Evaluation Criteria for | segmentation | Masks in Video Sequences |
| Performance Analysis and Critical Review on | segmentation | Techniques for Brain Tumor Classification |
| Performance analysis of classification and | segmentation | of cysts in panoramic dental images using convolutional neural network architecture |
| Performance and Sensitivity of Individual Tree | segmentation | Methods for UAV-LiDAR in Multiple Forest Types |
| Performance assessment of mammography image | segmentation | algorithms |
| Performance Assessment of Sky | segmentation | Approaches for UAVs |
| Performance Comparison between Circular and Spline-Based Methods for Iris | segmentation | , A |
| Performance Comparison of Six Algorithms for Page | segmentation | |
| Performance comparison of texture feature analysis methods using PNN classifier for | segmentation | and classification of brain CT images |
| Performance enhancement of image | segmentation | analysis for multi-grade tumour classification in MRI image |
| Performance Evaluation and Benchmarking of Six-Page | segmentation | Algorithms |
| Performance Evaluation Of A Texture-Based | segmentation | Algorithm |
| Performance Evaluation of a Texture-Based | segmentation | Algorithm |
| Performance evaluation of curled textline | segmentation | algorithms on CBDAR 2007 dewarping contest dataset |
| Performance evaluation of finite normal mixture model-based image | segmentation | techniques |
| Performance Evaluation of Image | segmentation | |
| Performance evaluation of Shannon and non-Shannon fuzzy 2-partition entropies for image | segmentation | using teaching-learning-based optimisation |
| Performance Evaluation of Texture | segmentation | Algorithms Based on Wavelets |
| Performance Evaluation Tools for Zone | segmentation | and Classification (PETS) |
| Performance Measures for Video Object | segmentation | and Tracking |
| Performance Modeling and Algorithm Characterization for Robust Image | segmentation | : Robust Image Segmentation |
| Performance Modeling and Algorithm Characterization for Robust Image | segmentation | : Robust Image Segmentation |
| Performance of dynamic texture | segmentation | using GPU |
| Performance of parameter-domain and spatial-domain pole-like feature | segmentation | using single and multiple terrestrial laser scans |
| Performance Prediction for Semantic | segmentation | by a Self-Supervised Image Reconstruction Decoder |
| Performance-Based Classifier Combination in Atlas-Based Image | segmentation | Using Expectation-Maximization Parameter Estimation |
| Performing | segmentation | of Ultrasound Images Using Temporal Information |
| Periodic Motion Detection and | segmentation | via Approximate Sequence Alignment |
| Periodic nonlinear principal component neural networks for humanoid motion | segmentation | , generalization, and generation |
| Peripheral Nerve | segmentation | Using Speckle Removal and Bayesian Shape Models |
| Peripheral Nerves | segmentation | in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes |
| Permutation Preference Based Alternate Sampling and Clustering for Motion | segmentation | |
| Permutation-Aware Activity | segmentation | via Unsupervised Frame-to-Segment Alignment |
| Persistence-based | segmentation | of deformable shapes |
| Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape | segmentation | |
| Persistent homology for object | segmentation | in multidimensional grayscale images |
| Persistent Homology-Based Topological Loss for CNN-Based Multiclass | segmentation | of CMR, A |
| Person Foreground | segmentation | by Learning Multi-Domain Networks |
| Person Re-Identification Based on Pose-Aware | segmentation | |
| Personal Fixations-Based Object | segmentation | With Object Localization and Boundary Preservation |
| Personal-location-based temporal | segmentation | of egocentric videos for lifelogging applications |
| Personalized Image Semantic | segmentation | |
| Personalizing Federated Medical Image | segmentation | via Local Calibration |
| PersonLab: Person Pose Estimation and Instance | segmentation | with a Bottom-Up, Part-Based, Geometric Embedding Model |
| Perspective Motion | segmentation | via Collaborative Clustering |
| Perturbed and Strict Mean Teachers for Semi-supervised Semantic | segmentation | |
| Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic | segmentation | |
| PET Images Atlas-Based | segmentation | Performed in Native and in Template Space: A Radiomics Repeatability Study in Mouse Models |
| PET-Guided Attention Network for | segmentation | of Lung Tumors from PET/CT Images |
| PET/CT Co- | segmentation | Based on Hybrid Active Contour Model |
| PETS-Nets: Joint Pose Estimation and Tissue | segmentation | of Fetal Brains Using Anatomy-Guided Networks |
| PFD-SLAM: A New RGB-D SLAM for Dynamic Indoor Environments Based on Non-Prior Semantic | segmentation | |
| PFENet++: Boosting Few-Shot Semantic | segmentation | With the Noise-Filtered Context-Aware Prior Mask |
| PGNet: Positioning Guidance Network for Semantic | segmentation | of Very-High-Resolution Remote Sensing Images |
| PGUNeT: Covid-19 CT Image | segmentation | Using GAN and Feature Pyramid |
| Pharynx | segmentation | from MRI Data for Analysis of Sleep Related Disoders |
| Phase based distance regularized level set for the | segmentation | of ultrasound kidney images |
| Phase based level set | segmentation | of blood vessels |
| Phase Contrast MRI | segmentation | Using Velocity and Intensity |
| Phase Unwrapping for Large SAR Interferograms: Statistical | segmentation | and Generalized Network Models |
| Phoenix Image | segmentation | System: Description and Evaluation, The |
| Phoneme | segmentation | of speech |
| Photometric | segmentation | : Simultaneous Photometric Stereo and Masking |
| Photometric subspace for multibody motion | segmentation | |
| Photon-Mapping Informed Chan-Vese | segmentation | Algorithm to Enable Multispectral Sensing and Path-Planning in 3D Virtual Environments, A |
| Phraseclick: Toward Achieving Flexible Interactive | segmentation | by Phrase and Click |
| PhraseCut: Language-Based Image | segmentation | in the Wild |
| Physical Structure | segmentation | with Projection Profile for Mathematic Formulae and Graphics in Academic Paper Images |
| Physics of MRF regularization for | segmentation | of materials microstructure images |
| Physics-based colour image | segmentation | for scenes containing vegetation and soil |
| Physics-Based Framework for | segmentation | , Shape and Motion Estimation, A |
| Physics-Based Image | segmentation | Using First Order Statistical Properties and Genetic Algorithm for Inductive Thermography Imaging |
| Physics-Based | segmentation | of Complex Objects Using Multiple Hypotheses of Image-Formation |
| Physics-Based | segmentation | : Looking Beyond Color |
| Physics-Based | segmentation | : Moving beyond Color |
| PiCIE: Unsupervised Semantic | segmentation | using Invariance and Equivariance in Clustering |
| Pictorial multi-atlas | segmentation | of brain MRI |
| Picture | segmentation | by a Directed Split and Merge Procedure |
| Picture | segmentation | by a Tree Traversal Algorithm |
| Picture | segmentation | by Texture Discrimination |
| Picture | segmentation | Using a Recursive Region Splitting Method |
| Picture | segmentation | with Introducing an Anisotropic Preliminary Step to an MRF Model with Cellular Neural Networks |
| PID-based regulation of background dynamics for foreground | segmentation | |
| PIDNet: A Real-time Semantic | segmentation | Network Inspired by PID Controllers |
| Piece-wise Constant Image | segmentation | with a Deep Image Prior Approach |
| Piecewise Constant Level Set Method for 3D Image | segmentation | |
| Piecewise Constant Level Set Methods and Image | segmentation | |
| Piecewise Flat Embedding for Image | segmentation | |
| Piecewise Geodesics for Vessel Centerline Extraction and Boundary Delineation with Application to Retina | segmentation | |
| Piecewise Planar and Non-Planar | segmentation | of Large Complex 3D Urban Models |
| Piecewise Planar | segmentation | for Automatic Scene Modeling |
| Piecewise Smooth | segmentation | with Sparse Prior |
| Piecing together the | segmentation | jigsaw using context |
| Pigmented skin lesion | segmentation | on macroscopic images |
| PIIE-DSA-Net for 3D Semantic | segmentation | of Urban Indoor and Outdoor Datasets |
| Pin the Memory: Learning to Generalize Semantic | segmentation | |
| Pineapples' Detection and | segmentation | Based on Faster and Mask R-CNN in UAV Imagery |
| Pink Panther: A Complete Environment for Ground Truthing and Benchmarking Document Page | segmentation | |
| Pitch Based | segmentation | and Recognition of Dot-Matrix Text |
| Pixel Consensus Voting for Panoptic | segmentation | |
| Pixel Contrastive-Consistent Semi-Supervised Semantic | segmentation | |
| Pixel Coverage | segmentation | for Improved Feature Estimation |
| Pixel Difference Convolutional Network for RGB-D Semantic | segmentation | |
| Pixel Matching Network for Cross-Domain Few-Shot | segmentation | |
| Pixel Position Regression: Application to Medical Image | segmentation | |
| Pixel Representation Augmented through Cross-Attention for High-Resolution Remote Sensing Imagery | segmentation | |
| Pixel-Accurate Representation and Evaluation of Page | segmentation | in Document Images |
| Pixel-accurate | segmentation | of Surgical Tools based on Bounding Box Annotations |
| Pixel-Based Leaf | segmentation | from Natural Vineyard Images Using Color Model and Threshold Techniques |
| Pixel-Based Skin | segmentation | in Psoriasis Images Using Committee of Machine Learning Classifiers, A |
| Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic | segmentation | |
| Pixel-Level Bijective Matching for Video Object | segmentation | |
| Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour | segmentation | |
| Pixel-Level Matching for Video Object | segmentation | Using Convolutional Neural Networks |
| Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic | segmentation | , A |
| Pixel-Level | segmentation | -Synthesis Framework for Dynamic Texture Video Compression, A |
| Pixel-Wise Energy-Biased Abstention Learning for Anomaly | segmentation | on Complex Urban Driving Scenes |
| Pixel-Wise Failure Prediction for Semantic Video | segmentation | |
| Pixelwise Instance | segmentation | with a Dynamically Instantiated Network |
| PixISegNet: pixel-level iris | segmentation | network using convolutional encoder-decoder with stacked hourglass bottleneck |
| Pixon-based image | segmentation | with Markov random fields |
| PL-UNeXt: Per-Stage Edge Detail and Line Feature Guided | segmentation | for Power Line Detection |
| Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data | segmentation | |
| Planar curve | segmentation | for recognition of partially occluded shapes |
| Planar facets | segmentation | using a multiresolution dense disparity field estimation |
| Planar Feature Extraction in Terrestrial Laser Scans Using Gradient Based Range Image | segmentation | |
| Planar | segmentation | by Time-of-Flight Cameras |
| Planar | segmentation | from Point Clouds via Graph Laplacian Regularized K-Planes |
| Planar | segmentation | of RGBD Images Using Fast Linear Fitting and Markov Chain Monte Carlo |
| Plane | segmentation | Based on the Optimal-Vector-Field in LiDAR Point Clouds |
| Plane | segmentation | from Two Views in Reciprocal-Polar Image Space |
| Plankton Image Classification Based on Multiple | segmentation | s |
| Plant classification system for crop /weed discrimination without | segmentation | |
| Plant leaf | segmentation | for estimating phenotypic traits |
| Plant Stem | segmentation | Using Fast Ground Truth Generation |
| Plant Trait | segmentation | for Plant Growth Monitoring |
| PlantNet: A dual-function point cloud | segmentation | network for multiple plant species |
| Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic | segmentation | |
| Plants, Leaf Shapes, Leaf Analysis, Leaf | segmentation | |
| Plasmodium vivax | segmentation | using modified fuzzy divergence |
| Players and Ball Detection in Soccer Videos Based on Color | segmentation | and Shape Analysis |
| PLGAN: Generative Adversarial Networks for Power-Line | segmentation | in Aerial Images |
| PLN: Parasitic-Like Network for Barely Supervised Medical Image | segmentation | |
| PLOP: Learning without Forgetting for Continual Semantic | segmentation | |
| Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic | segmentation | |
| Plume | segmentation | from UV Camera Images for SO2 Emission Rate Quantification on Cloud Days |
| Plume | segmentation | using local entropic thresholding |
| PMHI: Proposals From Motion History Images for Temporal | segmentation | of Long Uncut Videos |
| POEM: A prototype cross and emphasis network for few-shot semantic | segmentation | |
| Point attention network for semantic | segmentation | of 3D point clouds |
| Point Cloud Classification by Fusing Supervoxel | segmentation | with Multi-Scale Features |
| Point Cloud Instance | segmentation | using Probabilistic Embeddings |
| Point Cloud Instance | segmentation | With Semi-Supervised Bounding-Box Mining |
| Point Cloud Object | segmentation | Using Multi Elevation-Layer 2D Bounding-Boxes |
| Point Cloud Plane | segmentation | -Based Robust Image Matching for Camera Pose Estimation |
| Point cloud processing strategies for noise filtering, structural | segmentation | , and meshing of ground-based 3D Flash LIDAR images |
| Point Cloud Room | segmentation | Based on Indoor Spaces and 3d Mathematical Morphology |
| Point Cloud | segmentation | and Filtering to Verify The Geometric Genesis Of Simple and Composed Vaults |
| Point Cloud | segmentation | and Semantic Annotation Aided by GIS Data for Heritage Complexes |
| Point Cloud | segmentation | Based on Radial Reflection |
| Point cloud | segmentation | for urban scene classification |
| Point Cloud | segmentation | Method for Dim and Cluttered Underground Tunnel Scenes Based on the Segment Anything Model, A |
| Point Cloud | segmentation | Using Image Processing Techniques For Structural Analysis |
| Point Cloud | segmentation | using RGB Drone Imagery |
| Point cloud semantic | segmentation | based on local feature fusion and multilayer attention network |
| Point Cloud Semantic | segmentation | Method for the Ming and Qing Dynasties' Official-Style Architecture Roof Considering the Construction Regulations, The |
| Point Cloud Semantic | segmentation | Using a Deep Learning Framework for Cultural Heritage |
| Point Cloud Validation: On the Impact of Laser Scanning Technologies on the Semantic | segmentation | for BIM Modeling and Evaluation |
| Point Cluster Analysis Using a 3D Voronoi Diagram with Applications in Point Cloud | segmentation | |
| Point in: Counting Trees with Weakly Supervised | segmentation | Network |
| Point Proposal Based Instance | segmentation | with Rectangular Masks for Robot Picking Task |
| Point Set Attention Network For Semantic | segmentation | |
| Point sets joint registration and co- | segmentation | |
| point-based deep learning network for semantic | segmentation | of MLS point clouds, A |
| Point-cut: Fixation point-based image | segmentation | using random walk model |
| Point-Cut: Interactive Image | segmentation | Using Point Supervision |
| Point-set Anchors for Object Detection, Instance | segmentation | and Pose Estimation |
| Point-Supervised Single-Cell | segmentation | via Collaborative Knowledge Sharing |
| Point-to-Voxel Knowledge Distillation for LiDAR Semantic | segmentation | |
| Point-Wise LiDAR and Image Multimodal Fusion Network (PMNet) for Aerial Point Cloud 3D Semantic | segmentation | , A |
| Point-Wise Mutual Information-Based Video | segmentation | with High Temporal Consistency |
| Point2Mask: Point-supervised Panoptic | segmentation | via Optimal Transport |
| Point2Tree(P2T): Framework for Parameter Tuning of Semantic and Instance | segmentation | Used with Mobile Laser Scanning Data in Coniferous Forest |
| PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic | segmentation | |
| PointDC: Unsupervised Semantic | segmentation | of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering |
| PointFlow: Flowing Semantics Through Points for Aerial Image | segmentation | |
| PointGroup: Dual-Set Point Grouping for 3D Instance | segmentation | |
| PointINS: Point-Based Instance | segmentation | |
| Pointly-Supervised Instance | segmentation | |
| Pointly-Supervised Panoptic | segmentation | |
| PointMM: Point Cloud Semantic | segmentation | CNN under Multi-Spatial Feature Encoding and Multi-Head Attention Pooling |
| PointNet: Deep Learning on Point Sets for 3D Classification and | segmentation | |
| PointRas: Uncertainty-Aware Multi-Resolution Learning for Point Cloud | segmentation | |
| PointRend: Image | segmentation | As Rendering |
| polar-edge context-aware (PECA) network for mirror | segmentation | , A |
| Polarimetric Image | segmentation | via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets |
| Polarimetric SAR Image | segmentation | Using Texture Partitioning and Statistical Analysis |
| Polarimetric SAR Image Semantic | segmentation | With 3D Discrete Wavelet Transform and Markov Random Field |
| Polarimetric synthetic aperture radar image | segmentation | by convolutional neural network using graphical processing units |
| Polarization-based optical characterization for color texture analysis and | segmentation | |
| PolarMask++: Enhanced Polar Representation for Single-Shot Instance | segmentation | and Beyond |
| PolarMask: Single Shot Instance | segmentation | With Polar Representation |
| PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic | segmentation | |
| Pole-Like Objects | segmentation | and Multiscale Classification-Based Fusion from Mobile Point Clouds in Road Scenes |
| Pole-Like Street Furniture | segmentation | and Classification in Mobile LiDAR Data by Integrating Multiple Shape-Descriptor Constraints |
| Polycrystalline silicon wafer defect | segmentation | based on deep convolutional neural networks |
| PolyFormer: Referring Image | segmentation | as Sequential Polygon Generation |
| Polygon Feature Extraction from Satellite Imagery Based on Colour Image | segmentation | and Medial Axis |
| Polygonal 3D Layout Reconstruction of an Indoor Environment via Voxel-Based Room | segmentation | and Space Partition, The |
| Polymorphic Grouping for Image | segmentation | |
| Polynomial Shift-Invariant Operators for Texture | segmentation | |
| Polyp Localization and | segmentation | in Colonoscopy Images by Means of a Model of Appearance for Polyps |
| Polyp-Mixer: An Efficient Context-Aware MLP-Based Paradigm for Polyp | segmentation | |
| PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic | segmentation | |
| PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp | segmentation | |
| PolyTransform: Deep Polygon Transformer for Instance | segmentation | |
| Pooling Scores of Neighboring Points for Improved 3D Point Cloud | segmentation | |
| Population-Based Incremental Interactive Concept Learning for Image Retrieval by Stochastic String | segmentation | s |
| Portal Vein and Hepatic Vein | segmentation | in Multi-Phase MR Images Using Flow-Guided Change Detection |
| Portrait | segmentation | by Deep Refinement of Image Matting |
| Pose estimation and body | segmentation | based on hierarchical searching tree |
| Pose Estimation and | segmentation | of Multiple People in Stereoscopic Movies |
| Pose Estimation and | segmentation | of People in 3D Movies |
| Pose Estimation With | segmentation | Consistency |
| Pose Invariant Shape Prior | segmentation | Using Continuous Cuts and Gradient Descent on Lie Groups |
| Pose-Consistent 3D Shape | segmentation | Based on a Quantum Mechanical Feature Descriptor |
| Pose-Guided Knowledge Transfer for Object Part | segmentation | |
| Pose-Invariant Descriptor for Human Detection and | segmentation | , A |
| Pose2Seg: Detection Free Human Instance | segmentation | |
| PoseCut: Simultaneous | segmentation | and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts |
| POSIT: Part-based object | segmentation | without intensive training |
| Position-Feature Attention Network-Based Approach for Semantic | segmentation | of Urban Building Point Clouds from Airborne Array Interferometric SAR |
| Positive-Negative Receptive Field Reasoning for Omni-Supervised 3D | segmentation | |
| Post-DAE: Anatomically Plausible | segmentation | via Post-Processing With Denoising Autoencoders |
| Post-mortem iris recognition with deep-learning-based image | segmentation | |
| Post- | segmentation | Swallowing Accelerometry Signal Trimming and False Positive Reduction |
| Postal envelope | segmentation | by 2-D histogram clustering through watershed transform |
| Posture recognition and | segmentation | from 3D human body scans |
| Pottics: The Potts Topic Model for Semantic Image | segmentation | |
| Power Pylon Reconstruction from Airborne LiDAR Data Based on Component | segmentation | and Model Matching |
| Power watersheds: A new image | segmentation | framework extending graph cuts, random walker and optimal spanning forest |
| Power-Law Processor Over | segmentation | for Variable Length Transients Detection |
| Powered Two-Wheelers Right-Hand Curve Negotiation Study Using | segmentation | and Data Mining Approaches |
| Powering Virtual Try-On via Auxiliary Human | segmentation | Learning |
| PP-HumanSeg: Connectivity-Aware Portrait | segmentation | with a Large-Scale Teleconferencing Video Dataset |
| Practical Aspect-Graph Derivation Incorporating Feature | segmentation | Performance |
| Pre-classification of chest radiographs for improved active shape model | segmentation | of ribs |
| Pre-classification of Points and | segmentation | of Urban Objects by Scan Line Analysis of Airborne LIDAR data |
| Pre-Processing Colour Images with a Self-Organising Map: Baking Curve Identification and Bake Image | segmentation | |
| Pre-training Auto-generated Volumetric Shapes for 3D Medical Image | segmentation | |
| Precipitates | segmentation | from Scanning Electron Microscope Images through Machine Learning Techniques |
| Precise 3D Reconstruction of Cultural Objects Using Combined Multi-component Image Matching and Active Contours | segmentation | |
| Precise acquisition and unsupervised | segmentation | of multi-spectral images |
| Precise and Robust | segmentation | -Based Lidar Localization System for Automated Urban Driving, A |
| precise and stable foreground | segmentation | using fine-to-coarse approach in transform domain, A |
| Precise Cerebrovascular | segmentation | |
| Precise Extraction of Buildings from High-Resolution Remote-Sensing Images Based on Semantic Edges and | segmentation | |
| Precise Face | segmentation | for Recognition |
| Precise hand | segmentation | from a single depth image |
| Precise head | segmentation | on arbitrary backgrounds |
| Precise Image | segmentation | by Iterative EM-Based Approximation of Empirical Grey Level Distributions with Linear Combinations of Gaussians |
| Precise Image | segmentation | for Forest Inventory |
| Precise Lumen | segmentation | in Coronary Computed Tomography Angiography |
| Precise | segmentation | of multimodal images |
| Precise | segmentation | of the Lateral Ventricles and Caudate-Nucleus in MR Brain Images Using Anatomically Driven Histograms |
| Precise Statistical Approach for Leaf | segmentation | |
| Precision Tracking Based on | segmentation | with Optimal Layering for Imaging Sensors |
| Precision Tracking with | segmentation | for Imaging Sensors |
| Preconditioned P-ULA for Joint Deconvolution- | segmentation | of Ultrasound Images |
| Predicting Deeper into the Future of Semantic | segmentation | |
| Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the | segmentation | (s) |
| Predicting Future Instance | segmentation | by Forecasting Convolutional Features |
| Predicting | segmentation | Accuracy for Biological Cell Images |
| Predicting Sufficient Annotation Strength for Interactive Foreground | segmentation | |
| Prediction Calibration for Generalized Few-Shot Semantic | segmentation | |
| Prediction Intervals for Surface Growing Range | segmentation | |
| Prediction of Image Partitions Using Fourier Descriptors: Application to | segmentation | Based Coding Schemes |
| Predictive Feature Learning for Future | segmentation | Prediction |
| Predictive motion-field | segmentation | for image sequence coding |
| Predictive watershed: a fast watershed algorithm for video | segmentation | |
| Preferential Image | segmentation | Using Trees of Shapes |
| prefix and suffix query of Chinese word | segmentation | algorithm for maximum matching, The |
| PReMVOS: Proposal-Generation, Refinement and Merging for Video Object | segmentation | |
| Preparing the Future for Continual Semantic | segmentation | |
| Preprocessing and | segmentation | of Bad Quality Machine Typed Documents |
| Preprocessing Optimization and Semantic | segmentation | for Extraction of Cervical Intervertebral Disks from Videofluorography |
| Preserving boundaries for image texture | segmentation | using grey level co-occurring probabilities |
| Presmoothing effects in Artificial Color image | segmentation | |
| Pressure Based | segmentation | in Volumetric Images |
| Pretopological Approach for Image | segmentation | and Edge Detection, A |
| Pretreatment Approaches for Texture Image | segmentation | |
| Primary object discovery and | segmentation | in videos via graph-based transductive inference |
| Primary Object | segmentation | in Videos Based on Region Augmentation and Reduction |
| Primary Object | segmentation | in Videos via Alternate Convex Optimization of Foreground and Background Distributions |
| Primary Video Object | segmentation | via Complementary CNNs and Neighborhood Reversible Flow |
| Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot | segmentation | |
| PrimitiveNet: Primitive Instance | segmentation | with Local Primitive Embedding under Adversarial Metric |
| Principal axis and crease detection for slap fingerprint | segmentation | |
| Principal Component Clustering Approach to Object Oriented Motion | segmentation | and Estimation, A |
| Principled Deep Random Field Model for Image | segmentation | , A |
| Principled fusion of high-level model and low-level cues for motion | segmentation | |
| Principles of Forgetting in Domain-Incremental Semantic | segmentation | in Adverse Weather Conditions |
| Print Defect Mapping with Semantic | segmentation | |
| Printed text | segmentation | using distance transform |
| Prior Attention Network for Multi-Lesion | segmentation | in Medical Images |
| Prior Based Cardiac Valve | segmentation | in Echocardiographic Sequences: Geodesic Active Contour Guided by Region and Shape Prior |
| Prior Guided Feature Enrichment Network for Few-Shot | segmentation | |
| Prior Knowledge for Targeted Object | segmentation | in Medical Images |
| Prior Level Fusion Approach for the Semantic | segmentation | of 3D Point Clouds Using Deep Learning, A |
| Prior Semantic Harmonization Network for Few-Shot Semantic | segmentation | |
| Prior Shape Level Set | segmentation | on Multistep Generated Probability Maps of MR Datasets for Fully Automatic Kidney Parenchyma Volumetry |
| Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance | segmentation | |
| Prior-Aware Neural Network for Partially-Supervised Multi-Organ | segmentation | |
| Prior-Based Hierarchical | segmentation | Highlighting Structures of Interest |
| Prior-Based Piecewise-Smooth | segmentation | by Template Competitive Deformation Using Partitions of Unity |
| Prior-based | segmentation | and Shape Registration in the Presence of Perspective Distortion |
| Prior-Based | segmentation | by Projective Registration and Level Sets |
| priori information in image | segmentation | : energy functional based on shape statistical model and image information, A |
| Priority and | segmentation | Algorithm for the 3-D Motion Estimation of Two Heads Partly Overlapped |
| PRISEG: IFC-supported Primitive Instance Geometry | segmentation | with Unsupervised Clustering |
| Prism matching for piston | segmentation | correction with adaptive optics systems on extremely large telescopes |
| Privacy-Aware Anomaly Detection Using Semantic | segmentation | |
| Privacy-Net: An Adversarial Approach for Identity-Obfuscated | segmentation | of Medical Images |
| PrivObfNet: A Weakly Supervised Semantic | segmentation | Model for Data Protection |
| Probabilistic and Voting Approaches to Cue Integration for Figure-Ground | segmentation | |
| Probabilistic Appearance Models for | segmentation | and Classification |
| probabilistic approach for foreground and shadow | segmentation | in monocular image sequences, A |
| Probabilistic Atlas Based | segmentation | Using Affine Moment Descriptors and Graph-Cuts |
| Probabilistic Brain Lesion | segmentation | in DT-MRI |
| Probabilistic Detection of Morphologic Indicators for Beach | segmentation | With Multitemporal LiDAR Measurements |
| Probabilistic Diffusion for Interactive Image | segmentation | |
| Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle | segmentation | |
| Probabilistic Framework Based on KDE-GMM hybrid model(KGHM) for Moving Object | segmentation | in Dynamic Scenes, A |
| probabilistic framework for automatic prostate | segmentation | with a statistical model of shape and appearance, A |
| probabilistic framework for image | segmentation | , A |
| probabilistic framework for joint | segmentation | and tracking, A |
| probabilistic framework for | segmentation | and tracking of multiple non rigid objects for video surveillance, A |
| probabilistic framework for unsupervised evaluation and ranking of image | segmentation | s, A |
| Probabilistic Fusion of Stereo with Color and Contrast for Bi-Layer | segmentation | |
| Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image | segmentation | |
| Probabilistic Hierarchical Morphological | segmentation | of Textures |
| Probabilistic homogeneity for document image | segmentation | |
| Probabilistic Hyperstack | segmentation | of MR Brain Data |
| Probabilistic Image Modeling With an Extended Chain Graph for Human Activity Recognition and Image | segmentation | |
| Probabilistic image | segmentation | with closedness constraints |
| Probabilistic Information Fusion for Multi-Modal Image | segmentation | |
| Probabilistic interactive | segmentation | using multiphase level sets |
| Probabilistic Joint Image | segmentation | and Labeling by Figure-Ground Composition |
| Probabilistic Living Cell | segmentation | Model, A |
| Probabilistic Measure for Quantitative Evaluation of Image | segmentation | , A |
| probabilistic method for foreground and shadow | segmentation | , A |
| Probabilistic model for 3D interactive | segmentation | |
| Probabilistic Model for Automatic | segmentation | of the Esophagus in 3-D CT Scans, A |
| Probabilistic Model for Object Recognition, | segmentation | , and Non-Rigid Correspondence, A |
| Probabilistic model for | segmentation | based word recognition with lexicon |
| Probabilistic Model-Based Approach to Consistent White Matter Tract | segmentation | , A |
| Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image | segmentation | |
| Probabilistic Motion Diffusion of Labeling Priors for Coherent Video | segmentation | |
| Probabilistic Multi-class Scene Flow | segmentation | for Traffic Scenes |
| Probabilistic Multi-phase Model for Variational Image | segmentation | , A |
| Probabilistic Multiscale Image | segmentation | |
| Probabilistic Multiscale Image | segmentation | by the Hyperstack |
| Probabilistic Multiscale Image | segmentation | : Setup and First Results |
| Probabilistic Patch-Based Label Fusion Model for Multi-Atlas | segmentation | With Registration Refinement: Application to Cardiac MR Images, A |
| Probabilistic PCA and ICA Subspace Mixture Models for Image | segmentation | |
| Probabilistic Search for Object | segmentation | and Recognition |
| probabilistic | segmentation | method for the identification of luminal borders in intravascular ultrasound images, A |
| Probabilistic | segmentation | of Brain White Matter Lesions Using Texture-Based Classification |
| Probabilistic | segmentation | of Partial Volume Voxels |
| Probabilistic | segmentation | Scheme, A |
| Probabilistic shape-based | segmentation | method using level sets |
| Probabilistic shape-based | segmentation | using level sets |
| probabilistic spectral framework for grouping and | segmentation | , A |
| Probabilistic Wildfire | segmentation | Using Supervised Deep Generative Model from Satellite Imagery |
| Probabilistic Winner-Take-All | segmentation | of Images with Application to Ship Detection |
| Probability density difference-based active contour for ultrasound image | segmentation | |
| Probability Occupancy Grid Based Approach for Real-Time LiDAR Ground | segmentation | , A |
| Probability propagation for faster and efficient point cloud | segmentation | using a neural network |
| Probability-Based Framework to Fuse Temporal Consistency and Semantic Information for Background | segmentation | |
| Procedure for the Registration and | segmentation | of Heterogeneous Lidar Data, A |
| professional estimate on the computed tomography brain tumor images using SVM-SMO for classification and MRG-GWO for | segmentation | , A |
| Progress in Automated Evaluation of Curved Surface Range Image | segmentation | |
| Progress Report of | segmentation | Using Convergent Evidence |
| Progressive Adversarial Semantic | segmentation | |
| Progressive Collapse of Dual-Line Rivers Based on River | segmentation | Considering Cartographic Generalization Rules |
| Progressive fusion learning: A multimodal joint | segmentation | framework for building extraction from optical and SAR images |
| Progressive Glass | segmentation | |
| Progressive global perception and local polishing network for lung infection | segmentation | of COVID-19 CT images |
| Progressive Minimal Path Method for | segmentation | of 2D and 3D Line Structures |
| Progressive Multigrid Eigensolvers for Multiscale Spectral | segmentation | |
| Progressive Multiscale Consistent Network for Multiclass Fundus Lesion | segmentation | |
| Progressive Perception Learning for Main Coronary | segmentation | in X-Ray Angiography |
| Progressive polygon encoding of | segmentation | maps |
| Progressive Refinement Learning Based on Feature Interactive Fusion for Semantic | segmentation | of Remote Sensing Limited Dataset |
| Progressive Scene | segmentation | Based on Self-Attention Mechanism |
| progressive | segmentation | with weight contrast label enhancement for weakly supervised video salient object detection, A |
| Progressive Semantic | segmentation | |
| Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D | segmentation | of Lung Lesions, A |
| Projection based method for | segmentation | of human face and its evaluation |
| Projection onto a Shape Manifold for Image | segmentation | with Prior |
| Projective Framework for Scene | segmentation | in the Presence of Moving Objects, A |
| Prominent moving object | segmentation | from moving camera video shots using iterative energy minimization |
| Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic | segmentation | |
| Properties of a Three-Dimensional Island Hierarchy for | segmentation | of 3D Images with the Color Structure Code |
| Proportion Priors for Image Sequence | segmentation | |
| Proposal of | segmentation | Method Adapted to the Infrared Sensor |
| Proposal-Based Instance | segmentation | With Point Supervision |
| Proposal-Driven | segmentation | for Videos |
| Proposal-free Lidar Panoptic | segmentation | with Pillar-level Affinity |
| Proposal-Free Network for Instance-Level Object | segmentation | |
| Proposal-Free Temporal Action Detection via Global | segmentation | Mask Learning |
| Proposal-Free Volumetric Instance | segmentation | from Latent Single-Instance Masks |
| Prostate cancer grading: Gland | segmentation | and structural features |
| Prostate Cancer | segmentation | With Simultaneous Estimation of Markov Random Field Parameters and Class |
| Prostate detection and | segmentation | based on convolutional neural network and topological derivative |
| Prostate | segmentation | Based on Variant Scale Patch and Local Independent Projection |
| Prostate | segmentation | from 2-D Ultrasound Images Using Graph Cuts and Domain Knowledge |
| Prostate | segmentation | in CT Images via Spatial-Constrained http://dx.doi.org/10.1007/978-3-642-35428-1_1 |
| Prostate | segmentation | in HIFU Therapy |
| Prostate | segmentation | of Ultrasound Images Based on Interpretable-Guided Mathematical Model |
| Prostate | segmentation | : An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images |
| ProtoSeg: Interpretable Semantic | segmentation | with Prototypical Parts |
| ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud | segmentation | |
| Prototype Adaption and Projection for Few- and Zero-Shot 3D Point Cloud Semantic | segmentation | |
| Prototype Guided Pseudo Labeling and Perturbation-based Active Learning for domain adaptive semantic | segmentation | |
| Prototype Mixture Models for Few-shot Semantic | segmentation | |
| Prototype Queue Learning for Multi-Class Few-Shot Semantic | segmentation | |
| Prototypical Bidirectional Adaptation and Learning for Cross-Domain Semantic | segmentation | |
| Prototypical Contrast Adaptation for Domain Adaptive Semantic | segmentation | |
| Prototypical Contrastive Network for Imbalanced Aerial Image | segmentation | |
| Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic | segmentation | |
| Prototypical Knowledge Oriented Adaptation Framework for Semantic | segmentation | , A |
| Prototypical Matching and Open Set Rejection for Zero-Shot Semantic | segmentation | |
| Prototypical Matching Networks for Video Object | segmentation | |
| Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic | segmentation | |
| Protrusion-oriented 3D mesh | segmentation | |
| Proximal Splitting Adversarial Attack for Semantic | segmentation | |
| Proximity Graphs Based Multi-scale Image | segmentation | |
| Proximity Priors for Variational Semantic | segmentation | and Recognition |
| PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic | segmentation | |
| Pruned tree-structured vector quantization of medical images with | segmentation | and improved prediction |
| Pruning for image | segmentation | : Improving computational efficiency for large-scale remote sensing applications |
| Pruning Parameterization with Bi-level Optimization for Efficient Semantic | segmentation | on the Edge |
| Pruning-Guided Curriculum Learning for Semi-Supervised Semantic | segmentation | |
| PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic | segmentation | |
| PSA-YOLO: License Plate Detection Method Based on Pyramid | segmentation | Attention in Complex Scenes |
| PSDFormer: A Pyramid Simple Detail Injection Transformer for Real Time Semantic | segmentation | |
| PSDNet: A Balanced Architecture of Accuracy and Parameters for Semantic | segmentation | |
| Pseudo | segmentation | for Semantic Information-Aware Stereo Matching |
| Pseudo-convex Contour Criterion for Hierarchical | segmentation | of SAR Images |
| Pseudo-Distance Map for the | segmentation | -Free Skeletonization of Gray-Scale Images, A |
| Pseudo-Label Alignment for Semi-Supervised Instance | segmentation | |
| Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image | segmentation | |
| Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection | segmentation | |
| Pseudo-Marginal MCMC Sampling for Image | segmentation | Using Nonparametric Shape Priors |
| Pseudo-mask Matters in Weakly-supervised Semantic | segmentation | |
| PseudoClick: Interactive Image | segmentation | with Click Imitation |
| Psi-NET: A Novel Encoder-Decoder Architecture for Animal | segmentation | |
| PSIGAN: Joint Probabilistic | segmentation | and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation |
| PSIGAN: Joint Probabilistic | segmentation | and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation |
| Psoas Major Muscle | segmentation | Using Higher-Order Shape Prior |
| PSOTSC: A Global-Oriented Trajectory | segmentation | and Compression Algorithm Based on Swarm Intelligence |
| PSSNet: Planarity-sensible Semantic | segmentation | of large-scale urban meshes |
| PST: Plant | segmentation | transformer for 3D point clouds of rapeseed plants at the podding stage |
| Psychovisually Based Multiresolution Image | segmentation | |
| Pulling, Pushing, and Grouping for Image | segmentation | |
| Pulmonary Lobe | segmentation | in CT Examinations Using Implicit Surface Fitting |
| Pulmonary Lobe | segmentation | With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior |
| Pulmonary Lobe | segmentation | With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior |
| Pure Versus Hybrid Transformers For Multi-Modal Brain Tumor | segmentation | : A Comparative Study |
| Purely vision-based | segmentation | of web pages for assistive technology |
| Putting images on a manifold for atlas-based image | segmentation | |
| Pvbm: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel | segmentation | |
| PWD-3DNet: A Deep Learning-Based Fully-Automated | segmentation | of Multiple Structures on Temporal Bone CT Scans |
| PWP3D: Real-Time | segmentation | and Tracking of 3D Objects |
| Pyramid Architecture for Multi-Scale Processing in Point Cloud | segmentation | |
| Pyramid CNN for Dense-Leaves | segmentation | , A |
| Pyramid Geometric Consistency Learning For Semantic | segmentation | |
| Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic | segmentation | |
| Pyramid scene parsing network in 3D: Improving semantic | segmentation | of point clouds with multi-scale contextual information |
| Pyramid | segmentation | algorithms revisited |
| Pyramid | segmentation | in 2D and 3D Images Using Local Optimization |
| Pyramid Transformer Driven Multibranch Fusion for Polyp | segmentation | in Colonoscopic Video Images |
| Pyramid-Based Approach to | segmentation | Applied to Region Matching, A |
| Pyramid-Based Image | segmentation | Using Multisensory Data |
| Pyramidal Approach to License Plate | segmentation | |
| Pyramidal Model for Image Semantic | segmentation | |
| Pyramidal Seeded Region Growing Algorithm and Its Use in Image | segmentation | |
| Pyramidal | segmentation | using higher-order local auto-correlations and its applications to Landsat forestry data |
| Quad-Tree Approach to Image | segmentation | Which Combines Statistical and Spatial Information, A |
| Quadrant | segmentation | and ring-like searching based FPGA implementation of ORB matching system for Full-HD video |
| Quadratic Markovian Probability Fields for Image Binary | segmentation | |
| QuadroNet: Multi-Task Learning for Real-Time Semantic Depth Aware Instance | segmentation | |
| Quality Analysis on JPEG 2000 Compressed Leukocyte Images by Means of | segmentation | Algorithms, A |
| Quality Assessment of Screen Content Images via Convolutional-Neural-Network-Based Synthetic/Natural | segmentation | |
| Quality Assessment of Synthetic Fluorescence Microscopy Images for Image | segmentation | |
| Quality comparison and acceleration for digital hologram generation method based on | segmentation | |
| Quality control in crowdsourced object | segmentation | |
| Quality-Based Fingerprint | segmentation | |
| Quality-Guided Fusion-Based Co-Saliency Estimation for Image Co- | segmentation | and Colocalization |
| QualityNet: | segmentation | quality evaluation with deep convolutional networks |
| Quantification and | segmentation | of Brain Tissues from MR-Images: A Probabilistic Neural Network Approach |
| Quantification of malaria parasitaemia using trainable semantic | segmentation | and capsnet |
| Quantifying model uncertainty for semantic | segmentation | of Fluorine-19 MRI using stochastic gradient MCMC |
| Quantifying the Loss of Coral from a Bleaching Event Using Underwater Photogrammetry and AI-Assisted Image | segmentation | |
| Quantitative Assessment of Image | segmentation | Quality by Random Walk Relaxation Times |
| Quantitative Comparison of | segmentation | Results from ADS40 Images in Swiss NFI |
| Quantitative Comparison of the Performance of SAR | segmentation | Algorithms |
| Quantitative Evaluation of a Novel Image | segmentation | Algorithm |
| Quantitative Evaluation of Color Image | segmentation | Results |
| Quantitative Measure for Retinal Blood Vessel | segmentation | Evaluation, A |
| Quantitative methods of evaluating image | segmentation | |
| Quantitative Object-Level Metric for | segmentation | Performance and Its Application to Cell Nuclei, A |
| Quantitative Validation of Multi-Modal Image Fusion and | segmentation | for Object Detection and Tracking, A |
| Quantization Approach to Image | segmentation | , A |
| Quantization of Fully Convolutional Networks for Accurate Biomedical Image | segmentation | |
| Quantized | segmentation | of Fibrotic Tissue of Left Atrial from Delay-Enhancement MRI Images Using Level-Set and Graph-Cut |
| Quantum Motion | segmentation | |
| Quantum-inspired hybrid algorithm for image classification and | segmentation | : Q-Means++ max-cut method |
| Quasi-Dense Matching for Oblique Stereo Images through Semantic | segmentation | and Local Feature Enhancement |
| Quaternion color texture | segmentation | |
| Quaternion Framework for Color Image Smoothing and | segmentation | , A |
| Quaternion-Valued Correlation Learning for Few-Shot Semantic | segmentation | |
| Query Learning of Both Thing and Stuff for Panoptic | segmentation | |
| Query Reconstruction Network for Referring Expression Image | segmentation | |
| Query Refinement Transformer for 3D Instance | segmentation | |
| Query-Guided Prototype Evolution Network for Few-Shot | segmentation | |
| Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic | segmentation | |
| Queue-Based Region Growing Algorithm for Accurate | segmentation | of Multidimensional Digital Images, A |
| quick and coarse color image | segmentation | , A |
| Quick automatic head image matting method based on | segmentation | and propagation |
| R-Clustering for Egocentric Video | segmentation | |
| R2SN: Refined Semantic | segmentation | Network of City Remote Sensing Image |
| RAANet: A Residual ASPP with Attention Framework for Semantic | segmentation | of High-Resolution Remote Sensing Images |
| Radar Image | segmentation | Using Recurrent Artificial Neural Networks |
| Radar Pulse Stream Clustering Based on MaskRCNN Instance | segmentation | Network |
| Radar, Extraction of Features, | segmentation | |
| Radarsat-2 Synthetic-aperture Radar Land Cover | segmentation | Using Deep Convolutional Neural Networks |
| Radial Basis Functions Collocation Methods for Model Based Level-Set | segmentation | |
| Radial | segmentation | |
| RAFNet: Reparameterizable Across-Resolution Fusion Network for Real-Time Image Semantic | segmentation | |
| RAG-Net: ResNet-50 attention gate network for accurate iris | segmentation | |
| Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic | segmentation | |
| Rainbow UDA: Combining Domain Adaptive Models for Semantic | segmentation | Tasks |
| RandLA-Net: Efficient Semantic | segmentation | of Large-Scale Point Clouds |
| Random feature subset selection in a nonstationary environment: Application to textured image | segmentation | |
| Random Forest Based Left Ventricle | segmentation | in LGE-MRI |
| Random Forest Clustering and Application to Video | segmentation | |
| Random Forest With Learned Representations for Semantic | segmentation | |
| random forest-based framework for 3D kidney | segmentation | from dynamic contrast-enhanced CT images, A |
| Random Geometric Prior Forest for Multiclass Object | segmentation | |
| Random Projection Based Bias-corrected Fuzzy C-means Algorithm For Hyperspectral Remote Sensing Image | segmentation | |
| random sampling strategy for piecewise planar scene | segmentation | , A |
| Random swap EM algorithm for finite mixture models in image | segmentation | |
| Random Walk and Front Propagation on Watershed Adjacency Graphs for Multilabel Image | segmentation | |
| Random Walk and Graph Cut for Co- | segmentation | of Lung Tumor on PET-CT Images |
| random walk approach for multiatlas-based | segmentation | , A |
| random walker based approach to combining multiple | segmentation | s, A |
| Random walkers on morphological trees: A | segmentation | paradigm |
| Random walks based multi-image | segmentation | : Quasiconvexity results and GPU-based solutions |
| Random Walks for Image | segmentation | |
| Random Walks for Temporal Action | segmentation | with Timestamp Supervision |
| Random walks in directed hypergraphs and application to semi-supervised image | segmentation | |
| Random walks with statistical shape prior for cochlea and inner ear | segmentation | in micro-CT images |
| Randomized algorithm of spectral clustering and image/video | segmentation | using a minority of pixels |
| Randomized Ensemble Approach to Industrial CT | segmentation | , A |
| Randomized Voting-Based Rigid-Body Motion | segmentation | |
| Randomly Walking Can Get You Lost: Graph | segmentation | with Unknown Edge Weights |
| RANet: Ranking Attention Network for Fast Video Object | segmentation | |
| Range and Color, RGB-D | segmentation | and Analysis |
| Range and Intensity Vision for Rock-Scene | segmentation | |
| Range and Motion | segmentation | : A Robust Approach |
| Range based object tracking and | segmentation | |
| Range estimation via multi-dimensional | segmentation | |
| Range Image | segmentation | |
| Range image | segmentation | and fitting by residual consensus |
| Range Image | segmentation | Based on 2D Quadratic Function Approximation |
| Range Image | segmentation | Based on Differential Geometry: A Hybrid Approach |
| Range image | segmentation | based on randomized Hough transform |
| Range image | segmentation | based on split-merge clustering |
| Range Image | segmentation | by an Effective Jump-Diffusion Method |
| Range Image | segmentation | by Dynamic Neural-Network Architecture |
| Range image | segmentation | by surface extraction using an improved robust estimator |
| Range Image | segmentation | for Modeling and Object Detection in Urban Scenes |
| Range image | segmentation | of scenes with occluded curved objects |
| Range image | segmentation | using local approximation of scan lines with application to CAD model acquisition |
| Range Image | segmentation | Using Surface Selection Criterion |
| Range Image | segmentation | Using the Numerical Description of the Mean Curvature Values |
| Range Image | segmentation | with Application to CAD Model Acquisition |
| Range Image | segmentation | with Applications to Robot Bin-Picking Using Vacuum Gripper |
| Range Image | segmentation | , Free Space Determination, and Position Estimate for a Mobile Vehicle |
| Range Image | segmentation | : The User's Dilemma |
| Range | segmentation | of large building exteriors: A hierarchical robust approach |
| Range | segmentation | Using Focus Cues |
| Range | segmentation | Using Visibility Constraints |
| Range Surface Characterization and | segmentation | Using Neural Networks |
| Range-Data-Based Object Surface | segmentation | via Edges and Critical-Points |
| RangeViT: Towards Vision Transformers for 3D Semantic | segmentation | in Autonomous Driving |
| Rank &Sort Loss for Object Detection and Instance | segmentation | |
| Ranked k-means clustering for terahertz image | segmentation | |
| RankSeg: Adaptive Pixel Classification with Image Category Ranking for | segmentation | |
| Rapid brain tissue | segmentation | process by modified FCM algorithm with CUDA enabled GPU machine |
| Rapid Detection of Blind Roads and Crosswalks by Using a Lightweight Semantic | segmentation | Network |
| rapid knowledge-based partial supervision fuzzy c-means for brain tissue | segmentation | with CUDA-enabled GPU machine, A |
| Rapid | segmentation | of Thoracic Organs using U-net Architecture |
| Rapid tomato DUS trait analysis using an optimized mobile-based coarse-to-fine instance | segmentation | algorithm |
| Rapid, Accurate and Machine-Agnostic | segmentation | and Quantification Method for CT-Based COVID-19 Diagnosis, A |
| Rapid, man-made object morphological | segmentation | for aerial images using a multi-scaled, geometric image analysis |
| RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine | segmentation | Under Noisy Labels |
| RaRWS: A Radar-assisted Real-time Water | segmentation | Network to Meet the Autonomous Navigation of USV in Inland Waterways |
| RASNet: Renal automatic | segmentation | using an improved U-Net with multi-scale perception and attention unit |
| Rate-Distortion Based Image | segmentation | Using Recursive Merging |
| Rate-distortion-based combined motion estimation and | segmentation | |
| Ratio Regions: A Technique for Image | segmentation | |
| Ray-based Color Image | segmentation | |
| Ray-based | segmentation | Algorithm for Medical Imaging |
| Rayleigh | segmentation | of the endocardium in ultrasound images |
| RBC: Rectifying the Biased Context in Continual Semantic | segmentation | |
| RBF-Based Multiphase Level Set Method for | segmentation | in Echocardiography using the Statistics of the Radiofrequency Signal, A |
| Rbvs-Net: A Robust Convolutional Neural Network For Retinal Blood Vessel | segmentation | |
| RC-Net: A Convolutional Neural Network for Retinal Vessel | segmentation | |
| RCCT-ASPPNet: Dual-Encoder Remote Image | segmentation | Based on Transformer and ASPP |
| RDFNet: RGB-D Multi-level Residual Feature Fusion for Indoor Semantic | segmentation | |
| Re-distributing Biased Pseudo Labels for Semi-supervised Semantic | segmentation | : A Baseline Investigation |
| Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic | segmentation | , A |
| Re-ranking of the Merging Order for Hierarchical Image | segmentation | |
| Real Time Detection and | segmentation | of Reflectionally Symmetric Objects in Digital Images |
| Real Time Foreground-Background | segmentation | Using a Modified Codebook Model |
| Real Time Hand Gesture Recognition Including Hand | segmentation | and Tracking |
| Real Time Hand | segmentation | on Frugal Headmounted Device for Gestural Interface |
| Real time image enhancement and | segmentation | for sign/text detection |
| Real time iris | segmentation | quality evaluation using medoids |
| Real Time | segmentation | and Tracking of Face and Hands in VR Applications |
| Real Time | segmentation | of Lip Pixels for Lip Tracker Initialization |
| Real time temporal | segmentation | of MPEG video |
| Real Time Textured Image | segmentation | Based on Noncausal Markovian Random Field Models |
| Real Time Video Object | segmentation | in Compressed Domain |
| Real- and Complex-Valued Neural Networks for SAR Image | segmentation | Through Different Polarimetric Representations |
| Real-time 3D | segmentation | of the left ventricle using deformable subdivision surfaces |
| Real-time Active Shape Models for Face | segmentation | |
| Real-Time Active Shape Models for | segmentation | of 3D Cardiac Ultrasound |
| Real-Time Adaptive Foreground/Background | segmentation | |
| Real-Time and Accurate | segmentation | of 3-D Point Clouds Based on Gaussian Process Regression |
| Real-time and light-weighted unsupervised video object | segmentation | network |
| Real-time automated | segmentation | of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound |
| Real-Time Automatic Artery | segmentation | , Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve |
| Real-time background generation and foreground object | segmentation | for high-definition colour video stream in FPGA device |
| Real-time coarse-to-fine topologically preserving | segmentation | |
| Real-time color image | segmentation | based on mean shift algorithm using an FPGA |
| Real-time compressed-domain spatiotemporal | segmentation | and ontologies for video indexing and retrieval |
| Real-time Dynamic Deformable Meshes for Volumetric | segmentation | and Visualisation |
| Real-time enhancement of sparse 3D maps using a parallel | segmentation | scheme based on superpixels |
| Real-Time Facial | segmentation | and Performance Capture from RGB Input |
| Real-Time Foreground | segmentation | from Moving Camera Based on Case-Based Trajectory Classification |
| Real-time foreground | segmentation | on GPUs using local online learning and global graph cut optimization |
| Real-time foreground | segmentation | via range and color imaging |
| Real-Time Foreground | segmentation | with Kinect Sensor |
| Real-time foreground-background | segmentation | using codebook model |
| real-time fuzzy morphological algorithm for retinal vessel | segmentation | , A |
| Real-time ghost removal for foreground | segmentation | methods |
| Real-time GPU color-based | segmentation | of football players |
| Real-Time Hierarchical Supervoxel | segmentation | via a Minimum Spanning Tree |
| Real-Time High-Performance Semantic Image | segmentation | of Urban Street Scenes |
| Real-time human-centric | segmentation | for complex video scenes |
| Real-Time Identification of Rice Weeds by UAV Low-Altitude Remote Sensing Based on Improved Semantic | segmentation | Model |
| Real-time image | segmentation | based on a parallel and pipelined watershed algorithm |
| Real-time image | segmentation | for visual inspection of pharmaceutical tablets |
| Real-Time Image | segmentation | on a Massively Parallel Architecture, A |
| Real-Time Incremental | segmentation | and Tracking of Vehicles at Low Camera Angles Using Stable Features |
| Real-Time Instance | segmentation | Techniques using Neural Networks for the Assessment of Green-Lipped Mussels |
| Real-time Instance | segmentation | with Discriminative Orientation Maps |
| Real-Time Integration of | segmentation | Techniques for Reduction of False Positive Rates in Fire Plume Detection Systems during Forest Fires |
| Real-Time Maintenance of Figure-Ground | segmentation | |
| Real-Time Monocular | segmentation | and Pose Tracking of Multiple Objects |
| Real-time motion | segmentation | from moving cameras |
| Real-Time Motion | segmentation | of Sparse Feature Points at Any Speed |
| Real-Time Motion | segmentation | , Hardware for Motion Detection |
| Real-Time Moving Object | segmentation | and Classification From HEVC Compressed Surveillance Video |
| Real-time moving object | segmentation | and tracking for H.264/AVC surveillance videos |
| Real-Time MRF Based Approach for Binary | segmentation | , A |
| Real-time multi-colourspace hand | segmentation | |
| Real-Time Multisensory Image | segmentation | Algorithm with an Application to Visual and X-Ray Inspection, A |
| Real-Time Object | segmentation | and Coding for Selective-Quality Video Communications |
| Real-Time Object-Based Video | segmentation | Using Colour Segmentation and Connected Component Labeling |
| Real-Time Object-Based Video | segmentation | Using Colour Segmentation and Connected Component Labeling |
| Real-Time Panoptic | segmentation | From Dense Detections |
| Real-time Planar Surface | segmentation | in Disparity Space |
| Real-Time Plane | segmentation | and Obstacle Detection of 3D Point Clouds for Indoor Scenes |
| Real-Time Polyps | segmentation | for Colonoscopy Video Frames Using Compressed Fully Convolutional Network |
| Real-Time Progressive 3D Semantic | segmentation | for Indoor Scenes |
| Real-Time Range Image | segmentation | Using Adaptive Kernels and Kalman Filtering |
| Real-Time | segmentation | and Recognition of Surgical Tasks in Cataract Surgery Videos |
| Real-Time | segmentation | for Advanced Disparity Estimation in Immersive Videoconference Applications |
| Real-time | segmentation | Networks Should be Latency Aware |
| Real-Time | segmentation | of Moving Objects in a Video Sequence by a Contrario Detection |
| Real-Time | segmentation | of Non-rigid Surgical Tools Based on Deep Learning and Tracking |
| Real-time | segmentation | of objects from video sequences with non-stationary backgrounds using spatio-temporal coherence |
| Real-Time | segmentation | of Plants and Weeds |
| Real-Time | segmentation | of Stereo Videos on a Portable System With a Mobile GPU |
| Real-time | segmentation | of surgical instruments inside the abdominal cavity using a joint hue saturation color feature |
| Real-time | segmentation | of various insulators using generative adversarial networks |
| Real-time Semantic Clothing | segmentation | |
| real-time semantic | segmentation | model using iteratively shared features in multiple sub-encoders, A |
| Real-Time Semantic | segmentation | via Auto Depth, Downsampling Joint Decision and Feature Aggregation |
| Real-time Semantic | segmentation | via Region and Pixel Context Network |
| Real-time Semantic | segmentation | with Context Aggregation Network |
| Real-Time Semantic | segmentation | with Label Propagation |
| Real-time semantic | segmentation | with local spatial pixel adjustment |
| Real-time semantic | segmentation | with weighted factorized-depthwise convolution |
| Real-Time Semantic | segmentation | -Based Stereo Reconstruction |
| Real-Time Semi-Automatic | segmentation | Using a Bayesian Network |
| Real-time spatiotemporal | segmentation | of video objects in the H.264 compressed domain |
| Real-time Stable Texture Regions Extraction for Motion-based Object | segmentation | |
| Real-time stereo and flow-based video | segmentation | with superpixels |
| Real-Time Superpixel | segmentation | by DBSCAN Clustering Algorithm |
| Real-Time Tracking Combined with Object | segmentation | |
| Real-time traffic sign recognition using color | segmentation | and SVM |
| Real-Time Ultrasound | segmentation | , Analysis and Visualisation of Deep Cervical Muscle Structure |
| Real-time vehicle detection using | segmentation | -based detection network and trajectory prediction |
| Real-Time Vessel | segmentation | and Tracking for Ultrasound Imaging Applications |
| Real-Time Video Matting Based on Bilayer | segmentation | |
| Real-time video object | segmentation | in H.264 compressed domain |
| Real-Time Video Object | segmentation | Using HSV Space |
| Real-time video | segmentation | |
| Real-Time Video | segmentation | with VGA Resolution and Memory Bandwidth Reduction |
| Real-Time, Accurate, and Consistent Video Semantic | segmentation | via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device |
| Real-time, parallel | segmentation | of high-resolution images on multi-core platforms |
| real-time, power-efficient architecture for mean-shift image | segmentation | , A |
| Realistic Models of Children Heads from 3D-MRI | segmentation | and Tetrahedral Mesh Construction |
| Realtime Human | segmentation | in Video |
| Realtime motion | segmentation | based multibody visual SLAM |
| RECALL: Replay-based Continual Learning in Semantic | segmentation | |
| RecepNet: Network with Large Receptive Field for Real-Time Semantic | segmentation | and Application for Blue-Green Algae |
| Receptive Field Based Image Modeling Method for Interactive | segmentation | |
| Reciprocal Transformations for Unsupervised Video Object | segmentation | |
| RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion | segmentation | |
| RECISTSup: Weakly-Supervised Lesion Volume | segmentation | Using RECIST Measurement |
| Recognition and | segmentation | of 3-D Human Action Using HMM and Multi-class AdaBoost |
| Recognition and | segmentation | of Connected Characters with Selective Attention |
| Recognition and | segmentation | of Scene Content using Region-Based Classification |
| recognition method of machine-printed monetary amounts based on the two-dimensional | segmentation | and the bottom-up parsing, A |
| Recognition of Building Roof Facets by Merging Aerial Images and 3D Lidar Data in a Hierarchical | segmentation | Framework |
| Recognition of courtesy amounts on bank checks based on a | segmentation | approach |
| Recognition of Cylindrical Objects Using Occluding Boundaries Obtained from Colour Based | segmentation | |
| Recognition of Handwritten Chinese Text by | segmentation | : A Segment-Annotation-Free Approach |
| Recognition of Line Shapes Based on Thinning, | segmentation | with Good Connectivity Algorithms, and Regularization |
| Recognition of Unconstrained Handwritten Numeral Strings by Composite | segmentation | Method |
| Recognition of Vehicle License Plate Using a Genetic Algorithm Based | segmentation | , A |
| Recognition of Wheat Spike from Field Based Phenotype Platform Using Multi-Sensor Fusion and Improved Maximum Entropy | segmentation | Algorithms |
| Recognition-based character | segmentation | for multi-level writing style |
| Recognition-based handwritten Chinese character | segmentation | using a probabilistic Viterbi algorithm |
| Recognition-Based | segmentation | Algorithm for On-Line Arabic Handwriting |
| Recognition-Based | segmentation | of Nom Characters from Body Text Regions of Stele Images Using Area Voronoi Diagram |
| Recognition-Based | segmentation | of Online Run-On Handprinted Words: Input vs. Output Segmentation |
| Recognition-Based | segmentation | of Online Run-On Handprinted Words: Input vs. Output Segmentation |
| Recognizing handwritten Arabic words using grapheme | segmentation | and recurrent neural networks |
| Recognizing objects by piecing together the | segmentation | Puzzle |
| reconstructed residual error: A novel | segmentation | evaluation measure for reconstructed images in tomography, The |
| Reconstruction and | segmentation | of underwater acoustic images combining confidence information in MRF models |
| Reconstruction comparison and a composite | segmentation | method for electron tomography |
| Reconstruction of Multi-Temporal Satellite Imagery by Coupling Variational | segmentation | and Radiometric Analysis |
| Reconstruction of Three-Dimensional (3D) Indoor Interiors with Multiple Stories via Comprehensive | segmentation | |
| Reconstruction, | segmentation | , and Analysis of Medical Images |
| Recovering an indoor 3D layout with top-down semantic | segmentation | from a single image |
| Recovering Human Body Configurations: Combining | segmentation | and Recognition |
| Recovery of Ego-Motion and | segmentation | of Independent Object Motion Using the EM Algorithm |
| Rectification, and | segmentation | of Coplanar Repeated Patterns |
| Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic | segmentation | |
| Recurrent Adaptive Network: Balanced Learning for Road Crack | segmentation | with High-Resolution Images, A |
| Recurrent Dynamic Embedding for Video Object | segmentation | |
| Recurrent Fully Convolutional Networks for Video | segmentation | |
| Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac | segmentation | |
| Recurrent Graph Neural Networks for Video Instance | segmentation | |
| Recurrent Instance | segmentation | |
| Recurrent Iterative Gating Networks for Semantic | segmentation | |
| Recurrent Mask Refinement for Few-Shot Medical Image | segmentation | |
| Recurrent Multimodal Interaction for Referring Image | segmentation | |
| Recurrent Saliency Transformation Network for Tiny Target | segmentation | in Abdominal CT Scans |
| Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ | segmentation | |
| Recurrent | segmentation | for Variable Computational Budgets |
| Recurrent Slice Networks for 3D | segmentation | of Point Clouds |
| Recurrent U-Net for Resource-Constrained | segmentation | |
| Recursive active contours for hierarchical | segmentation | of wetlands in high-resolution satellite imagery of Arctic landscapes |
| Recursive Clustering Technique for Color Picture | segmentation | , A |
| Recursive Estimation Approach to the | segmentation | of MR Imagery, A |
| Recursive Estimation of Parameters of Straight Lines and Circles: Application to the | segmentation | of the Rey's Complex Figure |
| Recursive Image Sequence | segmentation | by Hierarchical Models |
| Recursive MDL via graph cuts: Application to | segmentation | |
| Recursive Region | segmentation | by Analysis of Histograms |
| Recursive | segmentation | and Classification of Composite Patterns |
| Recursive | segmentation | and Recognition Templates for Image Parsing |
| Recursive Thresholding Technique for Image | segmentation | , A |
| Recursively Refined R-CNN: Instance | segmentation | with Self-RoI Rebalancing |
| Red blood cell | segmentation | from SEM images |
| ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic | segmentation | |
| Reduced model of discrete-time dynamic image | segmentation | system and its bifurcation analysis |
| Reduced set density estimator for object | segmentation | based on shape probabilistic representation |
| Reduced-complexity image | segmentation | under parallel Markov Random Field formulation using graph partitioning |
| Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic | segmentation | Under Domain Shift |
| Reducing Artifacts in JPEG Decompression by | segmentation | and Smoothing |
| Reducing graphs in graph cut | segmentation | |
| Reducing Noise Pixels and Metric Bias in Semantic Inpainting on | segmentation | Map |
| Reducing the Annotation Effort for Video Object | segmentation | Datasets |
| Reducing the Hausdorff Distance in Medical Image | segmentation | With Convolutional Neural Networks |
| Reducing the Label Bias for Timestamp Supervised Temporal Action | segmentation | |
| Redundancy Pyramid and Its Application to | segmentation | on an Image Sequence, The |
| Reference data preparation for complex satellite image | segmentation | |
| Reference-based probabilistic | segmentation | as non-rigid registration using Thin Plate Splines |
| Referring Image | segmentation | by Generative Adversarial Learning |
| Referring Image | segmentation | Using Text Supervision |
| Referring Image | segmentation | via Cross-Modal Progressive Comprehension |
| Referring Image | segmentation | via Recurrent Refinement Networks |
| Referring | segmentation | in Images and Videos With Cross-Modal Self-Attention Network |
| Referring | segmentation | via Encoder-Fused Cross-Modal Attention Network |
| Refign: Align and Refine for Adaptation of Semantic | segmentation | to Adverse Conditions |
| Refined UNet V2: End-to-End Patch-Wise Network for Noise-Free Cloud and Shadow | segmentation | |
| Refined UNet V4: End-to-End Patch-Wise Network for Cloud and Shadow | segmentation | with Bilateral Grid |
| Refined UNet: UNet-Based Refinement Network for Cloud and Shadow Precise | segmentation | |
| RefineMask: Towards High-Quality Instance | segmentation | with Fine-Grained Features |
| Refinement Co-supervision network for real-time semantic | segmentation | |
| Refinement of Disparity Estimates Through the Fusion of Monocular Image | segmentation | s |
| Refinement of human silhouette | segmentation | in omni-directional indoor videos |
| RefineNet: Multi-path Refinement Networks for High-Resolution Semantic | segmentation | |
| Refinet: A Deep | segmentation | Assisted Refinement Network for Salient Object Detection |
| RefineU-Net: Improved U-Net with progressive global feedbacks and residual attention guided local refinement for medical image | segmentation | |
| Refining Action | segmentation | with Hierarchical Video Representations |
| Refining Image | segmentation | by Integration of Edge and Region Data |
| Refining Mitochondria | segmentation | in Electron Microscopy Imagery with Active Surfaces |
| Reflectance-Based | segmentation | Using Photometric and Illumination Invariants |
| Reflection Symmetry-Integrated Image | segmentation | |
| Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic | segmentation | |
| Region and Edge-Adaptive Sampling and Boundary Completion for | segmentation | |
| Region and Graph-Based Motion | segmentation | |
| Region Aware Video Object | segmentation | With Deep Motion Modeling |
| Region based coronary artery | segmentation | using modified Frangi's vesselness measure |
| Region Based Exemplar References for Image | segmentation | Evaluation |
| Region based foreground | segmentation | combining color and depth sensors via logarithmic opinion pool decision |
| Region Based Image | segmentation | Using a Modified Mumford-Shah Algorithm |
| Region Based | segmentation | in Presence of Intensity Inhomogeneity Using Legendre Polynomials |
| Region based | segmentation | of QuickBird multispectral imagery through band ratios and fuzzy comparison |
| Region Based | segmentation | Using the Tree of Shapes |
| Region Competition and its Analysis: A Unified Theory for Image | segmentation | |
| Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image | segmentation | |
| region dissimilarity relation that combines feature-space and spatial information for color image | segmentation | , A |
| Region Extraction Approach to Blood Smear | segmentation | , A |
| Region Growing and Merging Algorithm to Color | segmentation | , A |
| Region Growing Based on Extended Gradient Vector Flow Field Model for Multiple Objects | segmentation | |
| Region growing for image | segmentation | using an extended PCNN model |
| Region Growing Motion | segmentation | and Estimation in Object-Oriented Video Coding |
| Region level | segmentation | based on a derivative approach for video tracking process |
| Region Merging Prior for Variational Level Set Image | segmentation | , A |
| Region Merging | segmentation | with Local Scale Parameters: Applications to Spectral and Elevation Data, A |
| Region Of Interest Detection Based On Histogram | segmentation | For Satellite Image |
| Region saliency as a measure for colour | segmentation | stability |
| Region | segmentation | and Classification by Textural Features |
| Region | segmentation | and Feature Point Extraction on 3D Faces using a Point Distribution Model |
| Region | segmentation | and matching in stereo images |
| Region | segmentation | and Object Extraction Based on Virtual Edge and Global Features |
| Region | segmentation | based on active mesh representation of motion: comparison of parallel and sequential approaches |
| Region | segmentation | by multispectral imaging |
| Region | segmentation | for table image with unknown complex structure |
| Region | segmentation | in the Frequency Domain Applied to Upper Airway Real-Time Magnetic Resonance Images |
| Region | segmentation | Method for Colonoscopy Images Using a Model of Polyp Appearance, A |
| Region | segmentation | of Biomedical Tissue Image Using Color Texture Feature |
| Region | segmentation | of Images by Expansion and Contraction of Edge Points |
| Region | segmentation | of sheep ribs based on fully convolutional neural network |
| Region | segmentation | using edge based circle growing |
| Region | segmentation | using K-mean clustering and genetic algorithms |
| Region | segmentation | via Deformable Model-Guided Split and Merge |
| Region | segmentation | : Signal vs. Semantics |
| Region-adaptive and context-complementary cross modulation for RGB-T semantic | segmentation | |
| Region-aware Contrastive Learning for Semantic | segmentation | |
| Region-Based 2D Deformable Generalized Cylinder for Narrow Structures | segmentation | |
| Region-based active contours and sparse representations for texture | segmentation | |
| Region-based Active Contours for Video Object | segmentation | with Camera Compensation |
| Region-based active contours using geometrical and statistical features for image | segmentation | |
| Region-based active contours with cosine fitting energy for image | segmentation | |
| Region-based active surface modelling and alpha matting for unsupervised tumour | segmentation | in PET |
| Region-Based Contrast Enhancement of Digital Mammograms Using an Improved Watershed | segmentation | |
| Region-Based Convolutional Networks for Accurate Object Detection and | segmentation | |
| Region-based Deformable Net for automatic color image | segmentation | |
| Region-based Fitting of Overlapping Ellipses and its application to cells | segmentation | |
| Region-Based GeneSIS | segmentation | Algorithm for the Classification of Remotely Sensed Images, A |
| Region-based image | segmentation | evaluation via perceptual pooling strategies |
| Region-based image | segmentation | via graph cuts |
| Region-based image | segmentation | with local signed difference energy |
| Region-based Level Set | segmentation | for Automatic Detection of Man-made Objects from Aerial and Satellite Images, A |
| Region-based MRF Model for Unsupervised | segmentation | of Moving Objects in Image Sequences, A |
| Region-Based Parametric Motion | segmentation | Using Color Information |
| region-based particle filter for generic object tracking and | segmentation | , A |
| Region-Based Particle Filter for Video Object | segmentation | |
| Region-Based Randers Geodesic Approach for Image | segmentation | , A |
| Region-based representations of image and video: | segmentation | Tools for Multimedia Services |
| Region-based retrieval: coarse | segmentation | with fine color signature |
| Region-based | segmentation | of 2D and 3D images with tissue-like P systems |
| Region-Based | segmentation | of Parasites for High-throughput Screening |
| Region-based | segmentation | of textured images |
| Region-based | segmentation | on depth images from a 3D reference surface for tree species recognition |
| Region-Based | segmentation | on Evolving Surfaces with Application to 3D Reconstruction of Shape and Piecewise Constant Radiance |
| Region-Based | segmentation | via Non-Rigid Template Matching |
| Region-Based Semantic | segmentation | with End-to-End Training |
| Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object | segmentation | |
| region-based spatio-temporal | segmentation | algorithm, A |
| Region-Based Statistical Background Modeling for Foreground Object | segmentation | |
| Region-based two-stage MRI bone tissue | segmentation | of the knee joint |
| Region-Based Video Coding Using a Multiscale Image | segmentation | |
| Region-based Video | segmentation | using DCT Coefficients |
| region-centered topic model for object discovery and category-based image | segmentation | , A |
| Region-growing approach to colour | segmentation | using 3D clustering and relaxation labelling |
| Region-Level Graph Labeling Approach to Motion-Based | segmentation | , A |
| Region-Level Motion-Based Foreground | segmentation | Under a Bayesian Network |
| Region-of-interest Attentive Heteromodal Variational Encoder-decoder for | segmentation | with Missing Modalities |
| Region-of-interest | segmentation | based on Bayesian theorem for H.264 video transcoding |
| region-region and region-edge cooperative approach of image | segmentation | , A |
| Region-wise loss for biomedical image | segmentation | |
| Region/Edge-Based Target | segmentation | of FLIR Images Modeled by Weibull/Gaussian Distributions |
| Regional Consistency for Semi-Supervised | segmentation | of 3D Medical Images |
| Regional Interactive Image | segmentation | Networks |
| Regional Mapping of Essential Urban Land Use Categories in China: A | segmentation | -Based Approach |
| Regional Saliency Map Attack for Medical Image | segmentation | |
| Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic | segmentation | |
| RegionCut: Interactive multi-label | segmentation | utilizing cellular automaton |
| Regions Adjacency Graph Applied to Color Image | segmentation | |
| Regions Matching Algorithms Analysis to Quantify the Image | segmentation | Results |
| Regions | segmentation | from SAR Images |
| Registration and interactive planar | segmentation | for stereo images of polyhedral scenes |
| Registration Assisted Image Smoothing and | segmentation | |
| Registration-Assisted | segmentation | of Real-Time 3-D Echocardiographic Data Using Deformable Models |
| Registration-Based Propagation Framework for Automatic Whole Heart | segmentation | of Cardiac MRI, A |
| Registration-Based | segmentation | Using the Information Bottleneck Method |
| Regressing Local to Global Shape Properties for Online | segmentation | and Tracking |
| Regression as a Tool to Measure | segmentation | Quality and Preliminary Indicator of Diseased Lungs |
| Regression Based Bandwidth Selection for | segmentation | Using Parzen Windows |
| Regression Guided Deformable Models for | segmentation | of Multiple Brain ROIs |
| Regression | segmentation | for M3 Spinal Images |
| Regression-based label fusion for multi-atlas | segmentation | |
| regressive encoder-decoder-based deep attention model for | segmentation | of fetal head in 2D-ultrasound images, A |
| Regular Spatial B-Spline Active Contour for Fast Video | segmentation | |
| Regularized Data Fusion Improves Image | segmentation | |
| Regularized Densely-Connected Pyramid Network for Salient Instance | segmentation | |
| Regularized fully convolutional networks for RGB-D semantic | segmentation | |
| Regularized Geometric Hulls for Bio-medical Image | segmentation | |
| Regularized Loss for Weakly Supervised Single Class Semantic | segmentation | |
| Regularized Loss With Hyperparameter Estimation for Weakly Supervised Single Class | segmentation | |
| Regularized Tree Partitioning and Its Application to Unsupervised Image | segmentation | |
| Regularizer based on Euler characteristic for retinal blood vessel | segmentation | |
| Reinforcement Cutting-Agent Learning for Video Object | segmentation | |
| Reinforcement learning for instance | segmentation | with high-level priors |
| Reinforcement learning Integrated Image | segmentation | and Object Recognition |
| Rejecting False Positives in Video Object | segmentation | |
| Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic | segmentation | of High-Resolution Aerial Images |
| Relation-Augmented Fully Convolutional Network for Semantic | segmentation | in Aerial Scenes, A |
| Relational Modeling for Robust and Efficient Pulmonary Lobe | segmentation | in CT Scans |
| Relational Prior Knowledge Graphs for Detection and Instance | segmentation | |
| RelationNet: Learning Deep-Aligned Representation for Semantic Image | segmentation | |
| Relative Fuzzy Connectedness among Multiple Objects: Theory, Algorithms, and Applications in Image | segmentation | |
| Relative Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image | segmentation | |
| Relaxation Method for Image | segmentation | Using a Spatially Dependent Stochastic Model, A |
| Relaxation Methods for Supervised Image | segmentation | |
| Relaxed Cheeger Cut for image | segmentation | |
| Relaxed Oriented Image Foresting Transform for Seeded Image | segmentation | |
| Relay Level Set Method for Automatic Image | segmentation | , A |
| Relevance learning for spectral clustering with applications on image | segmentation | and video behaviour profiling |
| Relevant edge probability-based adaptively weighted active contour for medical image | segmentation | |
| Reliability in Semantic | segmentation | : Are we on the Right Track? |
| Reliability-Based Local Features Aggregation for Image | segmentation | |
| Reliable algorithm for iris | segmentation | in eye image |
| Reliable and Dynamic Appearance Modeling and Label Consistency Enforcing for Fast and Coherent Video Object | segmentation | With the Bilateral Grid |
| Reliable Label-Supervised Pixel Attention Mechanism for Weakly Supervised Building | segmentation | in UAV Imagery |
| Reliable Location and Regression Estimates with Application to Range Image | segmentation | |
| Reliable Lung | segmentation | Methodology by Including Juxtapleural Nodules |
| Reliable Mutual Distillation for Medical Image | segmentation | Under Imperfect Annotations |
| Relieving Long-tailed Instance | segmentation | via Pairwise Class Balance |
| Relieving Pixel-wise Labeling Effort for Pathology Image | segmentation | with Self-training |
| Remembering Both the Machine and the Crowd When Sampling Points: Active Learning for Semantic | segmentation | of ALS Point Clouds |
| Remeshing algorithm for multiresolution prior model in | segmentation | |
| Remote photoplethysmography based on implicit living skin tissue | segmentation | |
| Remote sensed images | segmentation | through shape refinement |
| Remote sensing image analysis by aggregation of | segmentation | -classification collaborative agents |
| Remote sensing image | segmentation | advances: A meta-analysis |
| Remote Sensing Image | segmentation | Based on Hierarchical Student's-t Mixture Model and Spatial Constrains with Adaptive Smoothing |
| Remote sensing image | segmentation | by active queries |
| Remote Sensing Image | segmentation | by Combining Spectral and Texture Features |
| Remote Sensing Image | segmentation | Using a Kalman Filter-Trained Neural-Network |
| Remote sensing image | segmentation | using geodesic-kernel functions and multi-feature spaces |
| Remote Sensing Image Semantic | segmentation | Based on Edge Information Guidance |
| Remote Sensing Image Ship Detection under Complex Sea Conditions Based on Deep Semantic | segmentation | |
| Remote Sensing Imagery | segmentation | : A Hybrid Approach |
| Remote Sensing, Aerial Imagery, Semantic | segmentation | |
| Removal of abdominal wall for 3D visualization and | segmentation | of organs in CT volume |
| Removing non-significant regions in hierarchical clustering and | segmentation | |
| Renal | segmentation | From 3D Ultrasound via Fuzzy Appearance Models and Patient-Specific Alpha Shapes |
| Repairing Bad Co- | segmentation | Using Its Quality Evaluation and Segment Propagation |
| Repetitive motion analysis: | segmentation | and event classification |
| Representation and | segmentation | of a Cluttered Scene Using Fused Edge and Surface Data |
| Representation and | segmentation | of Document Images |
| Representation and Spatially Adaptive | segmentation | for PolSAR Images Based on Wedgelet Analysis |
| Representation Compensation Networks for Continual Semantic | segmentation | |
| Representations and metrics for off-line handwriting | segmentation | |
| Representative Discovery of Structure Cues for Weakly-Supervised Image | segmentation | |
| Representative Segment-Based Emotion Analysis and Classification with Automatic Respiration Signal | segmentation | |
| Representing Diffusion MRI in 5-D Simplifies Regularization and | segmentation | of White Matter Tracts |
| Repurposing GANs for One-Shot Semantic Part | segmentation | |
| Res2-unet: An Enhanced Network for Generalized Nuclear | segmentation | in Pathological Images |
| Rescan: Inductive Instance | segmentation | for Indoor RGBD Scans |
| RescueNet: Joint Building | segmentation | and Damage Assessment from Satellite Imagery |
| ResDLPS-Net: Joint residual-dense optimization for large-scale point cloud semantic | segmentation | |
| Research of Double-Threshold | segmentation | of Brazing-Area Defect of Saw Based on Otsu and HSV Color Space |
| Research of space target | segmentation | algorithm based on ToF camera |
| Research on focal | segmentation | of bone scan based on Swin Transformer |
| Research on infrared image enhancement and | segmentation | of power equipment based on partial differential equation |
| Research on Multi-task Semantic | segmentation | Based on Attention and Feature Fusion Method |
| Research on the magnetic resonance imaging brain tumor | segmentation | algorithm based on DO-UNet |
| ReSeg: A Recurrent Neural Network-Based Model for Semantic | segmentation | |
| Residential Area Recognition Using Oscillatory Correlation | segmentation | of Hyperspectral Imagery |
| Residual approach on a hierarchical | segmentation | |
| Residual Deconvolutional Networks for Brain Electron Microscopy Image | segmentation | |
| Residual Dilated U-net For The | segmentation | Of COVID-19 Infection From CT Images |
| Residual Graph Convolutional Network for Bird's-Eye-View Semantic | segmentation | |
| Residual Inception Skip Network for Binary | segmentation | |
| Residual Networks for Pulmonary Nodule | segmentation | and Texture Characterization |
| Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic | segmentation | |
| Residual Pyramid Learning for Single-Shot Semantic | segmentation | |
| Residual Swin Transformer Unet with Consistency Regularization for Automatic Breast Ultrasound Tumor | segmentation | |
| Residual U-Net for Retinal Vessel | segmentation | |
| Residual U-Structure Nested Conditional Adversarial Nets Colorized CT Improves Deep Learning Based Abdominal Multi-Organ | segmentation | |
| Residual UNet with Dual Attention: An ensemble residual UNet with dual attention for multi-modal and multi-class brain MRI | segmentation | |
| ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic | segmentation | |
| Residues Cluster-Based | segmentation | and Outlier-Detection Method for Large-Scale Phase Unwrapping |
| Resistance-Geodesic Distance and Its Use in Image Processing and | segmentation | |
| RESLS: Region and Edge Synergetic Level Set Framework for Image | segmentation | |
| ResNet-based surface normal estimator with multilevel fusion approach with adaptive median filter region growth algorithm for road scene | segmentation | |
| Resolving vision and language ambiguities together: Joint | segmentation | & prepositional attachment resolution in captioned scenes |
| Respiratory rate estimation via simultaneously tracking and | segmentation | |
| Response to the Comment on Geodesic Saliency of Watershed Contours and Hierarchical | segmentation | |
| RESSCAL3D: Resolution Scalable 3D Semantic | segmentation | of Point Clouds |
| restarted iterative homotopy analysis method for three-dimensional image | segmentation | , A |
| Restoration and | segmentation | of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifiers |
| Restoration of Camera Documents Through Image | segmentation | , The |
| Restoration of Dendrites and Spines with the Objective of Topologically Correct | segmentation | |
| restoration- | segmentation | algorithm based on flexible Arnoldi-Tikhonov method and Curvelet denoising, A |
| ReSTR: Convolution-free Referring Image | segmentation | Using Transformers |
| Restricted Coulomb Energy (RCE) Neural Network System for Hand Image | segmentation | , A |
| Restricted Deformable Convolution-Based Road Scene Semantic | segmentation | Using Surround View Cameras |
| Results on Range Image | segmentation | for Service Robots |
| Results Using Random Field Models for the | segmentation | of Color Images |
| ResUNet-a: A deep learning framework for semantic | segmentation | of remotely sensed data |
| Retain and Recover: Delving Into Information Loss for Few-Shot | segmentation | |
| Rethinking Amodal Video | segmentation | from Learning Supervised Signals with Object-centric Representation |
| Rethinking and Improving Few-Shot | segmentation | From a Contour-Aware Perspective |
| Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image | segmentation | |
| Rethinking BiSeNet For Real-time Semantic | segmentation | |
| Rethinking Design and Evaluation of 3D Point Cloud | segmentation | Models |
| Rethinking Dilated Convolution for Real-time Semantic | segmentation | |
| Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image | segmentation | |
| Rethinking Ensemble-Distillation for Semantic | segmentation | Based Unsupervised Domain Adaption |
| Rethinking Few-Shot Medical | segmentation | : A Vector Quantization View |
| Rethinking interactive image | segmentation | : Feature space annotation |
| Rethinking Knowledge Distillation with Raw Features for Semantic | segmentation | |
| Rethinking Range View Representation for LiDAR | segmentation | |
| Rethinking Road Surface 3-D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map | segmentation | |
| Rethinking | segmentation | Guidance for Weakly Supervised Object Detection |
| Rethinking Semantic | segmentation | from a Sequence-to-Sequence Perspective with Transformers |
| Rethinking Semantic | segmentation | : A Prototype View |
| Rethinking Task and Metrics of Instance | segmentation | on 3D Point Clouds |
| Rethinking Text | segmentation | : A Novel Dataset and A Text-Specific Refinement Approach |
| Rethinking the Correlation in Few-Shot | segmentation | : A Buoys View |
| Rethinking the unpretentious U-net for medical ultrasound image | segmentation | |
| Rethinking Unsupervised Neural Superpixel | segmentation | |
| RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid | segmentation | |
| Retina Layer | segmentation | and Spatial Alignment of Antibody Expression Levels |
| Retinal Blood Vessel | segmentation | and Bifurcation Point Detection |
| Retinal Blood Vessel | segmentation | Using Line Operators and Support Vector Classification |
| Retinal blood vessel | segmentation | using the elite-guided multi-objective artificial bee colony algorithm |
| Retinal blood vessel | segmentation | via graph cut |
| Retinal Blood Vessel | segmentation | : A Semi-supervised Approach |
| Retinal Blood Vessels | segmentation | Using the Radial Projection and Supervised Classification |
| Retinal Blood Vessels | segmentation | : Improving State-of-the-Art Deep Methods |
| Retinal fundus vasculature multilevel | segmentation | using whale optimization algorithm |
| Retinal Image | segmentation | Based on Multiple Features Method |
| Retinal Image | segmentation | Based on Mumford-Shah Model and Gabor Wavelet Filter |
| Retinal Layer | segmentation | in OCT Images With Boundary Regression and Feature Polarization |
| Retinal venous caliber abnormality: Detection and analysis using matrix edge fields-based simultaneous smoothing and | segmentation | |
| Retinal vessel | segmentation | approach based on corrected morphological transformation and fractal dimension |
| Retinal vessel | segmentation | based on an improved deep forest |
| Retinal vessel | segmentation | based on task-driven generative adversarial network |
| Retinal vessel | segmentation | by improved matched filtering: evaluation on a new high-resolution fundus image database |
| Retinal Vessel | segmentation | from a Hyperspectral Camera Images |
| Retinal Vessel | segmentation | Through Denoising and Mathematical Morphology |
| Retinal vessel | segmentation | to diagnose diabetic retinopathy using fundus images: A survey |
| Retinal Vessel | segmentation | Under Extreme Low Annotation: A Gan Based Semi-Supervised Approach |
| Retinal vessel | segmentation | using a probabilistic tracking method |
| Retinal vessel | segmentation | using a strip wise classification approach with grid search-based parameter selection |
| Retinal vessel | segmentation | using Average of Synthetic Exact Filters and Hessian matrix |
| Retinal Vessel | segmentation | Using Blending-Based Conditional Generative Adversarial Networks |
| Retinal Vessel | segmentation | Using Matched Filter with Joint Relative Entropy |
| Retinal Vessel | segmentation | Using Minimum Spanning Superpixel Tree Detector |
| Retinal vessel | segmentation | using multiwavelet kernels and multiscale hierarchical decomposition |
| Retinal vessel | segmentation | using neural network |
| Retinal vessel | segmentation | using system fuzzy and DBSCAN algorithm |
| Retinal vessel | segmentation | using the 2-D Gabor wavelet and supervised classification |
| Retinal vessel | segmentation | via Iterative Geodesic Time Transform |
| Retinal Vessel | segmentation | With Skeletal Prior and Contrastive Loss |
| Retinal vessel tree | segmentation | using a deformable contour model |
| Retinal Vessels | segmentation | Based on a Convolutional Neural Network |
| Retinal vessels | segmentation | based on level set and region growing |
| RETOUCH: The Retinal OCT Fluid Detection and | segmentation | Benchmark and Challenge |
| Retracted Paper: A robust kernelized intuitionistic fuzzy c-means clustering algorithm in | segmentation | of noisy medical images |
| Retracted: Robust Retinal Vessel | segmentation | using Vessel's Location Map and Frangi Enhancement Filter |
| Retraction notice: A framework with modified fast FCM for brain MR images | segmentation | |
| Retraction: Deep learning for real-time semantic | segmentation | : Application in ultrasound imaging |
| RETRACTION: Transformer-induced graph reasoning for multimodal semantic | segmentation | in remote sensing |
| Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic | segmentation | |
| Revealing Hidden Context Bias in | segmentation | and Object Detection through Concept-specific Explanations |
| Reverse and Boundary Attention Network for Road | segmentation | |
| Reverse Classification Accuracy: Predicting | segmentation | Performance in the Absence of Ground Truth |
| Reverse Error Modeling for Improved Semantic | segmentation | |
| Reverse Image | segmentation | : A High-Level Solution to a Low-Level Task |
| Reversible contrast enhancement for medical images with background | segmentation | |
| Reversible Jump Markov Chain Monte Carlo for Unsupervised MRF Color Image | segmentation | |
| Reversible Recursive Instance-Level Object | segmentation | |
| review of approaches investigated for right ventricular | segmentation | using short-axis cardiac MRI, A |
| Review of automated | segmentation | approaches for knee images |
| Review of brain MRI image | segmentation | methods |
| Review of Enhancement and | segmentation | Techniques for Digital Images, A |
| Review of MR image | segmentation | techniques using pattern recognition |
| Review of panoptic | segmentation | for mobile mapping point clouds, A |
| Review of Point Clouds | segmentation | And Classification Algorithms, A |
| review of real-time | segmentation | of uncompressed video sequences for content-based search and retrieval, A |
| Review of Recent Texture | segmentation | and Feature Extraction Techniques, A |
| Review of Road | segmentation | for SAR Images |
| Review of | segmentation | and Contextual Analysis Techniques for Text Recognition, A |
| review of | segmentation | method for MR image, A |
| review of semantic | segmentation | using deep neural networks, A |
| Review of Statistical Approaches to Level Set | segmentation | : Integrating Color, Texture, Motion and Shape, A |
| Review of wavelet-based unsupervised texture | segmentation | , advantage of adaptive wavelets |
| review on 2D instance | segmentation | based on deep neural networks, A |
| Review on Image | segmentation | Techniques, A |
| Revision of Pyramid | segmentation | , A |
| Revisiting Click-Based Interactive Video Object | segmentation | |
| Revisiting Component Tree Based | segmentation | Using Meaningful Photometric Informations |
| Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic | segmentation | |
| Revisiting graph construction for fast image | segmentation | |
| Revisiting Kernel Temporal | segmentation | as an Adaptive Tokenizer for Long-form Video Understanding |
| Revisiting Sequence-to-Sequence Video Object | segmentation | with Multi-Task Loss and Skip-Memory |
| Revisiting Superpixels for Active Learning in Semantic | segmentation | with Realistic Annotation Costs |
| Revisiting Token Pruning for Object Detection and Instance | segmentation | |
| Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic | segmentation | |
| Reviving Iterative Training with Mask Guidance for Interactive | segmentation | |
| RFCNet: Enhancing urban | segmentation | using regularization, fusion, and completion |
| RFMask: A Simple Baseline for Human Silhouette | segmentation | With Radio Signals |
| RFNet: A Refinement Network for Semantic | segmentation | |
| RFNet: Region-aware Fusion Network for Incomplete Multi-modal Brain Tumor | segmentation | |
| RFS-Net: Railway Track Fastener | segmentation | Network With Shape Guidance |
| RG-GCN: A Random Graph Based on Graph Convolution Network for Point Cloud Semantic | segmentation | |
| RGB Road Scene Material | segmentation | |
| RGB-D Co-Attention Network for Semantic | segmentation | |
| RGB-D image | segmentation | based on multiple random walkers |
| RGB-D image | segmentation | using superpixel and multi-feature fusion graph theory |
| RGB-D Salient Object | segmentation | and Detection |
| RGB-D | segmentation | of Poultry Entrails |
| RGB-D Semantic | segmentation | and Label-Oriented Voxelgrid Fusion for Accurate 3D Semantic Mapping |
| RGB-T Semantic | segmentation | With Location, Activation, and Sharpening |
| RGPNet: A Real-Time General Purpose Semantic | segmentation | |
| Ri-Minace Filters to Augment | segmentation | of Touching Objects |
| Rice Mapping in Training Sample Shortage Regions Using a Deep Semantic | segmentation | Model Trained on Pseudo-Labels |
| Rich CNN Features for Water-Body | segmentation | from Very High Resolution Aerial and Satellite Imagery |
| Rich Feature Hierarchies for Accurate Object Detection and Semantic | segmentation | |
| Ridge Walking for 3D Surface | segmentation | |
| Ridge-based vessel | segmentation | in color images of the retina |
| Riemannian Drums, Anisotropic Curve Evolution, and | segmentation | |
| Rigid Motion | segmentation | Using Randomized Voting |
| Rigid Shape Matching by | segmentation | Averaging |
| Rigid-Body | segmentation | and Shape-Description from Dense Optical-Flow Under Weak Perspective |
| Rip Current | segmentation | : A Novel Benchmark and YOLOv8 Baseline Results |
| RiSSNet: Contrastive Learning Network with a Relaxed Identity Sampling Strategy for Remote Sensing Image Semantic | segmentation | |
| RITnet: Real-time Semantic | segmentation | of the Eye for Gaze Tracking |
| River Ice | segmentation | With Deep Learning |
| riverbed approach for user-steered image | segmentation | , The |
| Riverbed: A Novel User-Steered Image | segmentation | Method Based on Optimum Boundary Tracking |
| RLGS Profile | segmentation | Via a SVM |
| Road and Traffic Sign Color Detection and | segmentation | : A Fuzzy Approach |
| Road Anomaly Detection by Partial Image Reconstruction with | segmentation | Coupling |
| Road Damage Detection Based on Unsupervised Disparity Map | segmentation | |
| Road environment modeling using robust perspective analysis and recursive Bayesian | segmentation | |
| Road Extraction from VHR Remote-Sensing Imagery via Object | segmentation | Constrained by Gabor Features |
| Road Garbage | segmentation | With Deep Supervision and High Fusion Network for Cleaning Vehicles |
| Road Image | segmentation | and Recognition Using Hierarchical Bag-of-Textons Method |
| Road lane | segmentation | using dynamic programming for active safety vehicles |
| Road Map Inference: A | segmentation | and Grouping Framework |
| Road Marking Detection Based on Mask R-CNN Instance | segmentation | Model |
| Road Obstacle Detection Method Based on an Autoencoder with Semantic | segmentation | |
| Road region | segmentation | based on sequential Monte-Carlo estimation |
| Road Scene | segmentation | from a Single Image |
| Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic | segmentation | |
| Road | segmentation | and Road Type Identification Approach Based on New-Type Histogram Calculation, A |
| Road | segmentation | for Classification of Road Weather Conditions |
| Road | segmentation | for Remote Sensing Images Using Adversarial Spatial Pyramid Networks |
| Road | segmentation | in Street View Images Using Texture Information |
| Road | segmentation | of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields |
| Road | segmentation | using multipass single-pol synthetic aperture radar imagery |
| Road- | segmentation | -Based Curb Detection Method for Self-Driving via a 3D-LiDAR Sensor |
| Road-Side Individual Tree | segmentation | from Urban MLS Point Clouds Using Metric Learning |
| ROAD: Reality Oriented Adaptation for Semantic | segmentation | of Urban Scenes |
| Robot Pose Estimation Optimized Visual SLAM Algorithm Based on CO-HDC Instance | segmentation | Network for Dynamic Scenes, A |
| Robot users for the evaluation of boundary-tracking approaches in interactive image | segmentation | |
| robust 2D Otsu's thresholding method in image | segmentation | , A |
| Robust 3-D Airway Tree | segmentation | for Image-Guided Peripheral Bronchoscopy |
| Robust 3D Active Shape Model for the | segmentation | of the Left Ventricle in MRI |
| Robust 3D brain | segmentation | in magnetic resonance image with weighted feature fusion |
| Robust 3d Cell | segmentation | : Extending The View Of Cellpose |
| Robust 3D Clue-Based Video | segmentation | for Video Indexing |
| Robust 3D Pose Estimation and Efficient 2D Region-Based | segmentation | from a 3D Shape Prior |
| Robust 3D | segmentation | for underwater acoustic images |
| Robust 3D | segmentation | of Multiple Moving Objects Under Weak Perspective |
| Robust 3D Semantic | segmentation | Method Based on Multi-Modal Collaborative Learning |
| Robust Abdominal Organ | segmentation | Using Regional Convolutional Neural Networks |
| Robust Active Contour | segmentation | with an Efficient Global Optimizer |
| Robust active contours for mammogram image | segmentation | |
| Robust Adaptive 3-D | segmentation | of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation |
| Robust Adaptive | segmentation | of Range Images |
| Robust adaptive spot | segmentation | of DNA microarray images |
| Robust Adversarial Learning For Semi-Supervised Semantic | segmentation | |
| Robust Algebraic | segmentation | of Mixed Rigid-Body and Planar Motions from Two Views |
| Robust Algorithm for Optic Disc | segmentation | from Colored Fundus Images, A |
| Robust Analysis of Feature Spaces: Color Image | segmentation | |
| Robust and Accurate Image | segmentation | Using Deformable Templates in Scale Space |
| Robust and accurate iris | segmentation | in very noisy iris images |
| Robust and Accurate | segmentation | of Iris Images Using Optimal Partitioning, A |
| Robust and Accurate Text Stroke | segmentation | |
| Robust and Adaptive | segmentation | of Noisy Images Using Gibbs Random Field Models |
| Robust and automatic cell detection and | segmentation | from microscopic images of non-setae phytoplankton species |
| Robust and Efficient Motion | segmentation | based on Orthogonal Projection Matrix of Shape Space, A |
| Robust and Efficient Multipose Face Detection Using Skin Color | segmentation | |
| Robust and efficient object | segmentation | using pseudo-elastica |
| Robust and Efficient Subspace | segmentation | via Least Squares Regression |
| Robust and Fast Global Motion Estimation Oriented to Video Object | segmentation | |
| Robust and Fast Method for Sidescan Sonar Image | segmentation | Using Nonlocal Despeckling and Active Contour Model, A |
| Robust and Fast | segmentation | Based on Fuzzy Clustering Combined with Unsupervised Histogram Analysis |
| Robust and Fast Vessel | segmentation | via Gaussian Derivatives in Orientation Scores |
| robust and multiscale document image | segmentation | for block line/text line structures extraction, A |
| robust approach for automatic detection and | segmentation | of cracks in underground pipeline images, A |
| Robust Approach to Multi-feature Based Mesh | segmentation | Using Adaptive Density Estimation, A |
| Robust Automatic Clustering Scheme for Image | segmentation | Using Wavelets, A |
| Robust automatic video object | segmentation | with graphcut assisted by SURF features |
| Robust Background | segmentation | Using Background Models for Surveillance Application |
| Robust Bilayer | segmentation | and Motion/Depth Estimation with a Handheld Camera |
| Robust bilayer video | segmentation | by adaptive propagation of global shape and local appearance |
| Robust brain MRI denoising and | segmentation | using enhanced non-local means algorithm |
| Robust building roof | segmentation | using airborne point cloud data |
| Robust c-prototypes algorithms for color image | segmentation | |
| Robust Coding of 3D Graphic Models using Mesh | segmentation | and Data Partitioning |
| Robust Color Image | segmentation | through Tensor Voting |
| Robust color | segmentation | for the RoboCup domain |
| Robust Color | segmentation | Using the Dichromatic Reflection Model |
| robust contour sampling and tensor-based approach to facial beard and mustache shape | segmentation | and matching, A |
| robust convergence index filter for breast cancer cell | segmentation | , A |
| Robust Criteria for Automatic Multi-Scale Curve | segmentation | |
| Robust Crowd | segmentation | and Counting in Indoor Scenes |
| Robust Deep 3D Blood Vessel | segmentation | Using Structural Priors |
| Robust Defect | segmentation | in Woven Fabrics |
| Robust Document Processing System Combining Image | segmentation | with Content-based Document Compression, A |
| Robust dynamical model for simultaneous registration and | segmentation | in a variational framework: A Bayesian approach |
| Robust Edge-Stop Functions for Edge-Based Active Contour Models in Medical Image | segmentation | |
| Robust ellipse detection via arc | segmentation | and classification |
| Robust Energy Minimization Algorithm for MS-Lesion | segmentation | , A |
| Robust Estimation for Range Image | segmentation | and Reconstruction |
| Robust Extraction of Low Contrast Edges using Clustering-based | segmentation | and Refinement |
| Robust Feature Descriptors for Object | segmentation | Using Active Shape Models |
| Robust Feature-Guided Generative Adversarial Network for Aerial Image Semantic | segmentation | against Backdoor Attacks |
| Robust Foreground Object | segmentation | via Adaptive Region-Based Background Modelling |
| robust framework for region based video object | segmentation | , A |
| Robust free space | segmentation | using active contours and monocular omnidirectional vision |
| Robust Fuzzy Algorithm Based on Student's t-Distribution and Mean Template for Image | segmentation | Application, A |
| Robust fuzzy c-means clustering algorithm using non-parametric Bayesian estimation in wavelet transform domain for noisy MR brain image | segmentation | |
| Robust fuzzy local information and -norm distance-based image | segmentation | method |
| Robust Global Motion Estimation Oriented to Video Object | segmentation | |
| Robust Graph-Based | segmentation | of Noisy Point Clouds |
| Robust graph-cut scene | segmentation | and reconstruction for free-viewpoint video of complex dynamic scenes |
| Robust Horizon Detection Using | segmentation | for UAV Applications |
| Robust human instance | segmentation | in a challenging forest environment |
| Robust Hybrid Active Contour Model Based on Pre-Fitting Bias Field Correction for Fast Image | segmentation | , A |
| robust hybrid approach for text line | segmentation | in historical documents, A |
| Robust image | segmentation | against complex color distribution |
| robust image | segmentation | framework based on total variation spectral transform, A |
| Robust Image | segmentation | Model Based on Integrated Square Estimation, A |
| Robust Image | segmentation | Using Contour-Guided Color Palettes |
| Robust Image | segmentation | Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure |
| Robust Image | segmentation | Using Genetic Algorithm with a Fuzzy Measure |
| Robust image | segmentation | using learned priors |
| Robust Image | segmentation | using Local Median |
| Robust Image | segmentation | Using Resampling and Shape Constraints |
| Robust Image | segmentation | with Mixtures of Student's t-Distributions |
| Robust implementation of foreground extraction and vessel | segmentation | for X-ray coronary angiography image sequence |
| robust incremental learning framework for accurate skin region | segmentation | in color images, A |
| Robust Instance | segmentation | through Reasoning about Multi-Object Occlusion |
| Robust Integrated Framework for | segmentation | and Tracking, A |
| Robust Interactive Image | segmentation | Using Convex Active Contours |
| Robust interactive image | segmentation | via iterative refinement |
| Robust interactive image | segmentation | with automatic boundary refinement |
| Robust Interactive Multi-label | segmentation | with an Advanced Edge Detector |
| Robust Interactive Semantic | segmentation | of Pathology Images with Minimal User Input |
| Robust Iris | segmentation | Based on Local Image Gradient Properties |
| Robust Iris | segmentation | Method Based on a New Active Contour Force With a Noncircular Normalization |
| Robust iris | segmentation | on uncalibrated noisy images using mathematical morphology |
| Robust Knot | segmentation | by Knot Pith Tracking in 3D Tangential Images |
| Robust laser stripe extraction using ridge | segmentation | and region ranking for 3D reconstruction of reflective and uneven surface |
| Robust level set image | segmentation | via a local correntropy-based K-means clustering |
| Robust Lip Region | segmentation | Based on Competitive FCM Clustering |
| Robust lip region | segmentation | for lip images with complex background |
| Robust Low-rank subspace | segmentation | with finite mixture noise |
| Robust Markovian | segmentation | Based on Highest Confidence First (HCF), A |
| Robust Method for Dehazing of Single Image with Sky Region Detection and | segmentation | , A |
| Robust Method for Hand Gesture | segmentation | and Recognition Using Forward Spotting Scheme in Conditional Random Fields, A |
| Robust Method for Picture | segmentation | Based on a Split-and-Merge Procedure, A |
| Robust Method for Registration and | segmentation | of Multiple Range Images, A |
| Robust Mixture-Parameter Estimation for Unsupervised | segmentation | of Brain MR Images |
| Robust model based motion | segmentation | |
| Robust Model-based Face Reconstruction through Weakly-Supervised Outlier | segmentation | |
| Robust Motion | segmentation | by Spectral Clustering |
| Robust Motion | segmentation | From Pairwise Matches |
| Robust motion | segmentation | via refined sparse subspace clustering |
| Robust Motion | segmentation | with Unknown Correspondences |
| Robust motion-based image | segmentation | using fusion |
| Robust Motion-Based | segmentation | in Video Sequences using Entropy Estimator |
| Robust moving object | segmentation | on H.264/AVC compressed video using the block-based MRF model |
| Robust moving video object | segmentation | in the MPEG compressed domain |
| Robust MR Image | segmentation | Using 3D Partitioned Active Shape Models |
| Robust Multi-Body Feature Tracker: A | segmentation | -Free Approach |
| Robust Multi-Body Motion | segmentation | Based on Fuzzy k-Subspace Clustering |
| Robust multi-body | segmentation | |
| Robust Multi-Feature Cut Detection Algorithm for Video | segmentation | , A |
| Robust multiple objects tracking using image | segmentation | and trajectory estimation scheme in video frames |
| Robust natural image | segmentation | by using spatially constrained multivariate mixed Student's t-distribution and TV flow edge |
| Robust noise region-based active contour model via local similarity factor for image | segmentation | |
| robust non-symmetric mixture models for image | segmentation | , A |
| robust nonsymmetric student's-t finite mixture model for MR image | segmentation | , A |
| Robust Object Co- | segmentation | Using Background Prior |
| Robust Object Detection with Interleaved Categorization and | segmentation | |
| Robust Object | segmentation | System Using a Probability-Based Background Extraction Algorithm, A |
| Robust Object | segmentation | using Adaptive Thresholding |
| Robust Object | segmentation | Using Graph Cut with Object and Background Seed Estimation |
| Robust object-based watermarking scheme via shape self-similarity | segmentation | |
| robust on-line restoration algorithm for fingerprint | segmentation | , A |
| Robust optic disk | segmentation | from colour retinal images |
| Robust Page | segmentation | Based on Smearing and Error Correction Unifying Top-down and Bottom-up Approaches |
| Robust Parametric Method for Bias Field Estimation and | segmentation | of MR Images, A |
| Robust Partial Volume | segmentation | with Bias Field Correction in Brain MRI |
| robust patch-statistical active contour model for image | segmentation | , A |
| Robust Path-Based Spectral Clustering with Application to Image | segmentation | |
| Robust Perception and Precise | segmentation | for Scribble-Supervised RGB-D Saliency Detection |
| Robust plant recognition using Graph cut based flower | segmentation | and PHOG based feature extraction |
| Robust playfield | segmentation | using map adaptation |
| Robust Point Cloud | segmentation | With Noisy Annotations |
| Robust Point-Based Feature Fingerprint | segmentation | Algorithm |
| Robust Prostate | segmentation | Using Intrinsic Properties of TRUS Images |
| Robust Prototypical Few-Shot Organ | segmentation | With Regularized Neural-ODEs |
| Robust Proximal Femur | segmentation | in Conventional X-Ray Images via Random Forest Regression on Multi-resolution Gradient Features |
| Robust random walk for leaf | segmentation | |
| Robust Range | segmentation | |
| Robust Real-Time Bi-Layer Video | segmentation | Using Infrared Video |
| Robust Real-Time Human Hand Localization by Self-Organizing Color | segmentation | |
| Robust Real-Time | segmentation | of Images and Videos Using a Smooth-Spline Snake-based algorithm |
| Robust Realtime Motion-Split-And-Merge for Motion | segmentation | |
| Robust Recognition and | segmentation | of Human Actions Using HMMs with Missing Observations |
| Robust Referring Video Object | segmentation | with Cyclic Structural Consensus |
| Robust Region Based Level Set Framework for Medical Image | segmentation | , A |
| Robust Region Merging for Spatio-Temporal | segmentation | |
| Robust retinal blood vessel | segmentation | using hybrid active contour model |
| Robust retinal blood vessel | segmentation | using line detectors with multiple masks |
| Robust retinal optic disc and optic cup | segmentation | via stationary wavelet transform and maximum vessel pixel sum |
| Robust Retinal Vessel | segmentation | via Locally Adaptive Derivative Frames in Orientation Scores |
| Robust Rule-Based Ensemble Framework Using Mean-Shift | segmentation | for Hyperspectral Image Classification, A |
| robust scene-change detection method for video | segmentation | , A |
| Robust Sclera Recognition System With Novel Sclera | segmentation | and Validation Techniques |
| Robust | segmentation | and representation of foreground key-regions in video sequences |
| Robust | segmentation | and Tracking of Colored Objects in Video |
| robust | segmentation | approach to iris recognition based on video, A |
| Robust | segmentation | Based Tracing Using an Adaptive Wrapper for Inducing Priors |
| Robust | segmentation | by Cutting across a Stack of Gamma Transformed Images |
| Robust | segmentation | for Large Volumes of Laser Scanning Three-Dimensional Point Cloud Data |
| Robust | segmentation | for multiple planar surface extraction in laser scanning 3D point cloud data |
| Robust | segmentation | for outdoor traffic surveillance |
| Robust | segmentation | in Laser Scanning 3D Point Cloud Data |
| Robust | segmentation | of Aerial Image Data Recorded for Landscape Ecology Studies |
| Robust | segmentation | of CMM Data Based on NURBS |
| Robust | segmentation | of Edge Data |
| Robust | segmentation | of Freehand Ultrasound Image Slices Using Gradient Vector Flow Fast Geometric Active Contours |
| Robust | segmentation | of freight containers in train monitoring videos |
| Robust | segmentation | of Hidden Layers in Video Sequences |
| Robust | segmentation | of Highly Dynamic Scene with Missing Data |
| Robust | segmentation | of lung tissue in chest CT scanning |
| Robust | segmentation | of Moving Image Sequences |
| Robust | segmentation | of Moving Vehicles Under Complex Outdoor Conditions |
| Robust | segmentation | of Noisy Images Using a Neural Network Model |
| Robust | segmentation | of optic disc and optic cup using statistical Kurtosis test |
| Robust | segmentation | of Primitives from Range Data in the Presence of Geometric Degeneracy |
| Robust | segmentation | of relevant regions in low depth of field images |
| Robust | segmentation | of the colour image by fusing the SDD clustering results from different colour spaces |
| Robust | segmentation | of tubular structures in 3-D medical images by parametric object detection and tracking |
| Robust | segmentation | Process to Detect Incidents on Highways |
| Robust | segmentation | Technique for Line, Word and Character Extraction from Kannada Text in Low Resolution Display Board Images, A |
| Robust | segmentation | -Free Algorithm for Homogeneity Quantification in Images |
| Robust Semantic | segmentation | by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote |
| Robust Semantic | segmentation | UNCV2023 Challenge Results, The |
| Robust Shape Regression for Supervised Vessel | segmentation | and its Application to Coronary Segmentation in CTA |
| Robust Shape Regression for Supervised Vessel | segmentation | and its Application to Coronary Segmentation in CTA |
| Robust shape similarity retrieval based on contour | segmentation | polygonal multiresolution and elastic matching |
| Robust Shape-Aware Rib Fracture Detection and | segmentation | Framework With Contrastive Learning, A |
| Robust shape-constrained active contour for whole heart | segmentation | in 3-D CT images for radiotherapy planning |
| Robust Simultaneous Registration and | segmentation | with Sparse Error Reconstruction |
| Robust single-object image | segmentation | based on salient transition region |
| Robust skin | segmentation | using neighborhood information |
| Robust Source-Free Domain Adaptation for Fundus Image | segmentation | |
| Robust spatially constrained fuzzy c-means algorithm for brain MR image | segmentation | |
| Robust Spectral 3D-Bodypart | segmentation | Along Time |
| Robust Split-and-Merge Text | segmentation | Approach for Images, A |
| Robust Statistical Estimation and | segmentation | of Multiple Subspaces |
| Robust Statistical Estimation Applied to Automatic Lip | segmentation | |
| Robust Stereo Prior for Human | segmentation | , A |
| Robust stroke | segmentation | method for handwritten Chinese character recognition |
| Robust Student's-t Mixture Model With Spatial Constraints and Its Application in Medical Image | segmentation | |
| Robust Subspace | segmentation | with Block-Diagonal Prior |
| robust technique for latent fingerprint image | segmentation | and enhancement, A |
| Robust Temporally Coherent Laplacian Protrusion | segmentation | of 3D Articulated Bodies |
| Robust Temporally-Coherent Strategy for Few-shot Video Instance | segmentation | |
| Robust Text Line | segmentation | for Historical Manuscript Images Using Color and Texture |
| Robust Text | segmentation | in Low Quality Images via Adaptive Stroke Width Estimation and Stroke Based Superpixel Grouping |
| Robust text | segmentation | using graph cut |
| Robust Topology-adaptive Snakes for Image | segmentation | |
| Robust tracking based on Boosted Color Soft | segmentation | and ICA-R |
| Robust Tracking of Migrating Cells Using Four-Color Level Set | segmentation | |
| Robust Trajectory Clustering for Motion | segmentation | |
| Robust Trust Region for Weakly Supervised | segmentation | |
| Robust Two-stage System for Image | segmentation | , A |
| Robust unsupervised | segmentation | of degraded document images with topic models |
| Robust Variational | segmentation | of 3D Objects from Multiple Views |
| Robust Vascular | segmentation | for Raw Complex Images of Laser Speckle Contrast Based on Weakly Supervised Learning |
| Robust Video Based Iris | segmentation | System in Less Constrained Environments |
| Robust Video Foreground | segmentation | by Using Generalized Gaussian Mixture Modeling, A |
| Robust video text | segmentation | and recognition with multiple hypotheses |
| Robust Video Watermarking Scheme Via Temporal | segmentation | and Middle Frequency Component Adaptive Modification, A |
| Robust visual data | segmentation | : Sampling from distribution of model parameters |
| Robust Visual Tracking by | segmentation | |
| Robust watershed | segmentation | using wavelets |
| Robust Wind Turbine Blade | segmentation | from RGB Images in the Wild |
| Robustness of Radiomics Features to Varying | segmentation | Algorithms in Magnetic Resonance Images |
| RobustNet: Improving Domain Generalization in Urban-Scene | segmentation | via Instance Selective Whitening |
| ROC Method for the Evaluation of Multi-class | segmentation | /Classification Algorithms with Infrared Imagery |
| Rock image | segmentation | using watershed with shape markers |
| RockSeg: A Novel Semantic | segmentation | Network Based on a Hybrid Framework Combining a Convolutional Neural Network and Transformer for Deep Space Rock Images |
| ROI Detection and Vessel | segmentation | in Retinal Image |
| ROI-SEG: Unsupervised Color | segmentation | by Combining Differently Focused Sub Results |
| ROIs | segmentation | in Facial Images Based on Morphology and Density Concepts |
| Role of Context for Object Detection and Semantic | segmentation | in the Wild, The |
| Role of Model-Based | segmentation | in the Recovery of Volumetric Parts from Range Data, The |
| Role of Optimum Connectivity in Image | segmentation | : Can the Algorithm Learn Object Information During the Process?, The |
| Roof plane | segmentation | by combining multiple images and point clouds |
| Roof Plane | segmentation | from Airborne LiDAR Data Using Hierarchical Clustering and Boundary Relabeling |
| ROPES: a semiautomated | segmentation | method for accelerated analysis of three-dimensional echocardiographic data |
| RORPO: A morphological framework for curvilinear structure analysis. Application to the filtering and | segmentation | of blood vessels |
| ROSE: A Retinal OCT-Angiography Vessel | segmentation | Dataset and New Model |
| Rosette plant | segmentation | with leaf count using orthogonal transform and deep convolutional neural network |
| ROSS: Robust Learning of One-Shot 3D Shape | segmentation | |
| Rotation-invariant Hierarchical | segmentation | on Poincare Ball for 3D Point Cloud |
| Rough and Accurate | segmentation | of Natural Color Images Using Fuzzy Region-growing Algorithm |
| Rough and Accurate | segmentation | of Natural Images Using Fuzzy Region-Growing Algorithm |
| Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image | segmentation | |
| Rough | segmentation | of coherent local intensity for bias induced 3-D MR brain images |
| Rough Sets and Stomped Normal Distribution for Simultaneous | segmentation | and Bias Field Correction in Brain MR Images |
| Rough-Fuzzy HSV Color Histogram for Image | segmentation | , A |
| Row-by-row | segmentation | and thresholding for optical character recognition |
| RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object | segmentation | |
| RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic | segmentation | |
| RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud | segmentation | |
| RRc-UNet 3D for lung tumor | segmentation | from CT scans of Non-Small Cell Lung Cancer patients |
| RSCA: Real-time | segmentation | -based Context-Aware Scene Text Detection |
| RSSFormer: Foreground Saliency Enhancement for Remote Sensing Land-Cover | segmentation | |
| RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-Lesion | segmentation | |
| RTSeg: Real-Time Semantic | segmentation | Comparative Study |
| Rubber Tree Crown | segmentation | and Property Retrieval Using Ground-Based Mobile LiDAR after Natural Disturbances |
| Rubberband: an improved graph search algorithm for interactive object | segmentation | |
| RUF: Effective Sea Ice Floe | segmentation | Using End-to-End RES-UNET-CRF with Dual Loss |
| rule-based approach to hand X-ray image | segmentation | , A |
| Rule-Based Classification of a Hyperspectral Image Using MSSC Hierarchical | segmentation | |
| Rule-Based Classification of a Very High Resolution Image in an Urban Environment Using Multispectral | segmentation | Guided by Cartographic Data |
| Rule-Based Image | segmentation | : A Dynamic Control Strategy Approach |
| Rule-Based Interpretation System for | segmentation | of Seismic Images, A |
| Rule-Based Method for Object | segmentation | in Video Sequences, A |
| Rule-based moving object | segmentation | |
| Rule-Based System for Document Image | segmentation | , A |
| Rule-based trajectory | segmentation | for modeling hand motion trajectory |
| Rule-Based Ventral Cavity Multi-organ Automatic | segmentation | in CT Scans |
| RVOS: End-To-End Recurrent Network for Video Object | segmentation | |
| S-VVAD: Visual Voice Activity Detection by Motion | segmentation | |
| S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot | segmentation | |
| S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual | segmentation | Across Multiple Sites |
| S4Net: Single Stage Salient-Instance | segmentation | |
| S6: Semi-Supervised Self-Supervised Semantic | segmentation | |
| SA-BiSeNet: Swap attention bilateral | segmentation | network for real-time inland waterways segmentation |
| SA-BiSeNet: Swap attention bilateral | segmentation | network for real-time inland waterways segmentation |
| SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor | segmentation | |
| SA-UNet: Spatial Attention U-Net for Retinal Vessel | segmentation | |
| SABOS-Net: Self-supervised attention based network for automatic organ | segmentation | of head and neck CT images |
| SACNet: Shuffling atrous convolutional U-Net for medical image | segmentation | |
| SACuP: Sonar Image Augmentation with Cut and Paste Based DataBank for Semantic | segmentation | |
| Safe Landing Zone Detection for UAVs using Image | segmentation | and Super Resolution |
| SAGE: An approach and implementation empowering quick and reliable quantitative analysis of | segmentation | quality |
| SAIL-VOS: Semantic Amodal Instance Level Video Object | segmentation | : A Synthetic Dataset and Baselines |
| SAL: Selection and Attention Losses for Weakly Supervised Semantic | segmentation | |
| SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, | segmentation | and Detection |
| Saliency and KAZE features assisted object | segmentation | |
| Saliency and Segregation Without Feature Gradient: New Insights for | segmentation | from Orientation-Defined Textures |
| Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic | segmentation | |
| Saliency Cuts: An automatic approach to object | segmentation | |
| Saliency detection based on integration of boundary and soft- | segmentation | |
| Saliency detection using joint spatial-color constraint and multi-scale | segmentation | |
| Saliency driven region-edge-based top down level set evolution reveals the asynchronous focus in image | segmentation | |
| Saliency driven total variation | segmentation | |
| Saliency guided deep network for weakly-supervised image | segmentation | |
| Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic | segmentation | |
| Saliency map based improved | segmentation | |
| Saliency model-based face | segmentation | and tracking in head-and-shoulder video sequences |
| Saliency Prediction with Active Semantic | segmentation | |
| Saliency | segmentation | based on Learning and Graph Cut Refinement |
| Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object | segmentation | |
| Saliency-aware geodesic video object | segmentation | |
| Saliency-Aware Video Object | segmentation | |
| Saliency-guided level set model for automatic object | segmentation | |
| Saliency-seeded localizing region-based active contour for automatic natural object | segmentation | |
| Salient features useful for the accurate | segmentation | of masticatory muscles from minimum slices subsets of magnetic resonance images |
| Salient object detection using semantic | segmentation | technique |
| Salient object | segmentation | based on linearly combined affinity graphs |
| Salient Object | segmentation | from Stereoscopic Images |
| Salient Object | segmentation | via Effective Integration of Saliency and Objectness |
| Salient Skin Lesion | segmentation | via Dilated Scale-Wise Feature Fusion Network |
| Salient-Boundary-Guided Pseudo-Pixel Supervision for Weakly-Supervised Semantic | segmentation | |
| Salient-region detection in a multi-level framework of image smoothing with over- | segmentation | |
| SALSA: A Simple Automatic Lung | segmentation | Algorithm |
| Salsanext: Fast, Uncertainty-aware Semantic | segmentation | of Lidar Point Clouds |
| Salvage of Supervision in Weakly Supervised Object Detection and | segmentation | |
| SAM Fewshot Finetuning for Anatomical | segmentation | in Medical Images |
| Sampling Technique for Defining | segmentation | Error Margins with Application to Structural Brain MRI |
| Sampling with level set for pigmented skin lesion | segmentation | |
| SAN: Side Adapter Network for Open-Vocabulary Semantic | segmentation | |
| Sandwich Cut: An Algorithm for Temporally-Coherent Video Bilayer | segmentation | |
| SAPNet: | segmentation | -Aware Progressive Network for Perceptual Contrastive Deraining |
| SAR And Oblique Aerial Optical Image Fusion for Urban Area Image | segmentation | |
| SAR Image Despeckling Based on Local Homogeneous-Region | segmentation | by Using Pixel-Relativity Measurement |
| SAR image | segmentation | algorithm based on Contourlet domain AFMRF model |
| SAR Image | segmentation | based on convolutional-wavelet neural network and markov random field |
| SAR Image | segmentation | Based on Hierarchical Visual Semantic and Adaptive Neighborhood Multinomial Latent Model |
| SAR Image | segmentation | Based on Level Set Approach and G_A^0 Model |
| SAR Image | segmentation | by Efficient Fuzzy C-Means Framework with Adaptive Generalized Likelihood Ratio Nonlocal Spatial Information Embedded |
| SAR Image | segmentation | by Stochastic Complexity Minimization With a Nonparametric Noise Model |
| SAR Image | segmentation | Using Kernel Based Spatial FCM |
| SAR Image | segmentation | Using Level Sets and Region Competition under the GHGH Model |
| SAR Image | segmentation | Using Morphological Attribute Profiles |
| SAR image | segmentation | using region growing and spectral cluster |
| SAR Image | segmentation | Using Region Smoothing and Label Correction |
| SAR Image | segmentation | with Active Contours and Level Sets |
| SAR Image | segmentation | With Renyi's Entropy |
| SAR Sea Ice Image | segmentation | Based on Edge-preserving Watersheds |
| SAR sea ice image | segmentation | using an edge-preserving region-based MRF |
| SASO: Joint 3D semantic-instance | segmentation | via multi-scale semantic association and salient point clustering optimization |
| SAT3D: Slot Attention Transformer for 3D Point Cloud Semantic | segmentation | |
| Satellite image | segmentation | using hybrid variable genetic algorithm |
| Satellite Image | segmentation | Using Wavelet Transforms Based on Color and Texture Features |
| SATR: Zero-Shot Semantic | segmentation | of 3D Shapes |
| SaTransformer: Semantic-aware transformer for breast cancer classification and | segmentation | |
| SATS: Self-attention transfer for continual semantic | segmentation | |
| SAtUNet: Series atrous convolution enhanced U-Net for lung nodule | segmentation | |
| SBNet: | segmentation | -based Network for Natural Language-based Vehicle Search |
| SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image | segmentation | |
| Scalable 3D video streaming over P2P networks with playback length changeable chunk | segmentation | |
| Scalable and Adaptive Temporal | segmentation | Algorithm for Video Coding, A |
| Scalable Cascade Inference for Semantic Image | segmentation | |
| Scalable discrepancy measures for | segmentation | evaluation |
| Scalable image co- | segmentation | using color and covariance features |
| Scalable image | segmentation | via decoupled sub-graph compression |
| Scalable | segmentation | -Based Coding of Video Sequences Addressing Content-Based Functionalities |
| Scalable SoftGroup for 3D Instance | segmentation | on Point Clouds |
| Scalable Tile-Based Framework for Region-Merging | segmentation | , A |
| Scalable Video Object | segmentation | with Simplified Framework |
| Scalable Video with Background | segmentation | |
| Scale and Orientation Invariant Text | segmentation | for Born-Digital Compound Images |
| Scale and Rotation Invariant Character | segmentation | from Coins |
| Scale and | segmentation | of Grey-Level Images Using Maximum Gradient Paths |
| Scale in Scale for SAR Ship Instance | segmentation | |
| Scale Matters: Spatially Partitioned Unsupervised | segmentation | Parameter Optimization for Large and Heterogeneous Satellite Images |
| Scale Object Selection (SOS) through a hierarchical | segmentation | by a multi-spectral per-pixel classification |
| scale of a texture and its application to | segmentation | , The |
| Scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale | segmentation | as an example |
| Scale selection for supervised image | segmentation | |
| Scale Space Operators on Hierarchies of | segmentation | s |
| Scale Space | segmentation | of Color Images Using Watersheds and Fuzzy Region Merging |
| Scale space technique for word | segmentation | in handwritten manuscripts |
| Scale variance minimization for unsupervised domain adaptation in image | segmentation | |
| Scale-Adaptive | segmentation | and Recognition of Individual Trees Based on LiDAR Data |
| Scale-Aware Alignment of Hierarchical Image | segmentation | |
| Scale-Aware Graph Neural Network for Few-Shot Semantic | segmentation | |
| Scale-Aware Neural Network for Semantic | segmentation | of Multi-Resolution Remote Sensing Images |
| Scale-Based Connected Coherence Tree Algorithm for Image | segmentation | , A |
| Scale-Based Fuzzy Connected Image | segmentation | : Theory, Algorithms, and Validation |
| Scale-Based Robust Image | segmentation | |
| Scale-constrained unsupervised evaluation method for multi-scale image | segmentation | |
| Scale-dependent hierarchical unsupervised | segmentation | of textured images |
| Scale-invariant sampling for supervised image | segmentation | |
| Scale-Synthesis Method for High Spatial Resolution Remote Sensing Image | segmentation | , A |
| Scale-variable region-merging for high resolution remote sensing image | segmentation | |
| Scaling Open-Vocabulary Image | segmentation | with Image-Level Labels |
| Scaling Semantic | segmentation | Beyond 1K Classes on a Single GPU |
| SCALPEL: | segmentation | Cascades with Localized Priors and Efficient Learning |
| Scan Profiles Based Method For | segmentation | And Extraction Of Planar Objects In Mobile Laser Scanning Point Clouds |
| Scan-Line Forest Growing-Based Hand | segmentation | Framework With Multipriority Vertex Stereo Matching for Wearable Devices, A |
| ScanComplete: Large-Scale Scene Completion and Semantic | segmentation | for 3D Scans |
| SCANet: A Unified Semi-Supervised Learning Framework for Vessel | segmentation | |
| Scanning Electron Microscope image | segmentation | method for steam generator fouling rate estimation, A |
| SCARF: A Semantic Constrained Attention Refinement Network for Semantic | segmentation | |
| SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic | segmentation | |
| Scene analysis by integrating primitive | segmentation | and associative memory |
| Scene Aware Semantic Crack | segmentation | from Oblique Drone Imagery |
| Scene classification of images and video via semantic | segmentation | |
| Scene Consistency Representation Learning for Video Scene | segmentation | |
| Scene Cut: Class-Specific Object Detection and | segmentation | in 3D Scenes |
| Scene image | segmentation | based on Perceptual Organization |
| Scene | segmentation | and Categorization Using NCuts |
| Scene | segmentation | and Segment Clustering Experiments |
| Scene | segmentation | and Semantic Representation for High-Level Retrieval |
| Scene | segmentation | and Volumetric Descriptions of SHGCs from a Single Intensity Image |
| Scene | segmentation | Assisted by Stereo Vision |
| Scene | segmentation | based on video structure and spectral methods |
| Scene | segmentation | by Cluster Detection in Color Space |
| Scene | segmentation | by Velocity Measurements Obtained with a Cross-Shaped Template |
| Scene | segmentation | Driven by Deep Learning and Surface Fitting |
| Scene | segmentation | for Behaviour Correlation |
| Scene | segmentation | from 3D Motion |
| Scene | segmentation | from dense displacement vector fields using randomized Hough transform |
| Scene | segmentation | from depth and color data driven by surface fitting |
| Scene | segmentation | from Visual Motion Using Global Optimization |
| Scene | segmentation | in Adverse Vision Conditions |
| Scene | segmentation | in Automated Histopathology: Techniques Evolved from Cytology Automation |
| Scene | segmentation | Using a Combined Criterion of Motion and Intensity |
| Scene | segmentation | Using Motion Information |
| Scene | segmentation | Using the Wisdom of Crowds |
| Scene | segmentation | with DAG-Recurrent Neural Networks |
| Scene | segmentation | -Based Luminance Adjustment for Multi-Exposure Image Fusion |
| Scene shape priors for superpixel | segmentation | |
| Scene table structure recognition with | segmentation | collaboration and alignment |
| Scene Text Detection and | segmentation | Based on Cascaded Convolution Neural Networks |
| Scene Text Detection with Recurrent Instance | segmentation | |
| Scene Text | segmentation | Based on Local Image Phase Information and MSER Method |
| Scene Text | segmentation | by Paired Data Synthesis |
| Scene Text | segmentation | via Inverse Rendering |
| Scene Text | segmentation | with Multi-level Maximally Stable Extremal Regions |
| SceneAdapt: Scene-based domain adaptation for semantic | segmentation | using adversarial learning |
| SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor | segmentation | ? |
| SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud | segmentation | |
| SCG: Saliency and Contour Guided Salient Instance | segmentation | |
| Scheme for unsupervised colour-texture image | segmentation | using neutrosophic set and non-subsampled contourlet transform |
| Sclera recognition: on the quality measure and | segmentation | of degraded images captured under relaxed imaging conditions |
| Sclera | segmentation | in Face Images Using Image Foresting Transform |
| SCMNet: Shared Context Mining Network for Real-time Semantic | segmentation | |
| SCOPS: Self-Supervised Co-Part | segmentation | |
| Scratch Each Other's Back: Incomplete Multi-modal Brain Tumor | segmentation | Via Category Aware Group Self-Support Learning |
| Screen content image | segmentation | using least absolute deviation fitting |
| Screen content image | segmentation | using sparse decomposition and total variation minimization |
| Screen-rendered text images recognition using a deep residual network based | segmentation | -free method |
| Scribble based interactive 3D reconstruction via scene co- | segmentation | |
| Scribble-Supervised LiDAR Semantic | segmentation | |
| Scribble-Supervised Semantic | segmentation | by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace |
| Scribble-Supervised Semantic | segmentation | Inference |
| Scribblebox: Interactive Annotation Framework for Video Object | segmentation | |
| ScribbleNet: Efficient interactive annotation of urban city scenes for semantic | segmentation | |
| ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic | segmentation | |
| Script-Free Text Line | segmentation | Using Interline Space Model for Printed Document Images |
| Script-Independent Handwritten Textlines | segmentation | Using Active Contours |
| Script-Independent Text Line | segmentation | in Freestyle Handwritten Documents |
| SCT: Set Constrained Temporal Transformer for Set Supervised Action | segmentation | |
| SCTMS: Superpixel based color topographic map | segmentation | method |
| SCTrans: Self-align and cross-align transformer for few-shot | segmentation | |
| SCTS: Instance | segmentation | of Single Cells Using a Transformer-Based Semantic-Aware Model and Space-Filling Augmentation |
| SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image | segmentation | * |
| SDAT-Former++: A Foggy Scene Semantic | segmentation | Method with Stronger Domain Adaption Teacher for Remote Sensing Images |
| SDAT-Former: Foggy Scene Semantic | segmentation | Via A Strong Domain Adaptation Teacher |
| SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image | segmentation | |
| SDFCNv2: An Improved FCN Framework for Remote Sensing Images Semantic | segmentation | |
| SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI | segmentation | and Landmark Localization |
| SE-PSNet: Silhouette-based Enhancement Feature for Panoptic | segmentation | Network |
| Se2NAS: Self-Semi-Supervised architecture optimization for Semantic | segmentation | |
| SE3: Sequential Semantic | segmentation | of Large Images with Minimized Memory |
| Sea and Land | segmentation | of Optical Remote Sensing Images Based on U-Net Optimization |
| Sea-Crossing Bridge Detection in Polarimetric SAR Images Based on Windowed Level Set | segmentation | and Polarization Parameter Discrimination |
| Sea-land | segmentation | of Infrared Remote Sensing Image Based on Complex Background |
| Sea-land | segmentation | via hierarchical region merging and edge directed graph cut |
| Seabed | segmentation | Using Optimized Statistics of Sonar Textures |
| Seamless Scene | segmentation | |
| Seamline network generation based on foreground | segmentation | for orthoimage mosaicking |
| SeamSeg: Video Object | segmentation | Using Patch Seams |
| SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice | segmentation | |
| second-order attention network for glacial lake | segmentation | from remotely sensed imagery, A |
| Second-order constrained parametric proposals and sequential search-based structured prediction for semantic | segmentation | in RGB-D images |
| Second-Order Implicit Polynomials for | segmentation | of Range Images |
| Secrets of Salient Object | segmentation | , The |
| Sectored Snakes: Evaluating Learned-Energy | segmentation | s |
| SED: Searching Enhanced Decoder with switchable skip connection for semantic | segmentation | |
| See More and Know More: Zero-shot Point Cloud | segmentation | via Multi-modal Visual Data |
| See More, Know More: Unsupervised Video Object | segmentation | With Co-Attention Siamese Networks |
| SEE-LPR: A Semantic | segmentation | Based End-to-end System for Unconstrained License Plate Detection and Recognition |
| See-Through-Text Grouping for Referring Image | segmentation | |
| Seed growing for interactive image | segmentation | with geodesic voting |
| Seed picking crossover optimisation algorithm for semantic | segmentation | from images |
| Seed pruning using a multi-resolution approach for automated | segmentation | of breast cancer tissue |
| Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image | segmentation | |
| Seeded Image | segmentation | Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm, A |
| Seeded Laplacian: An interactive image | segmentation | approach using eigenfunctions |
| seeded region growing algorithm for spot detection in medical image | segmentation | , A |
| Seeded Region Merging Based on Gradient Vector Flow for Image | segmentation | |
| Seeded | segmentation | based on object homogeneity |
| Seeded watershed cut uncertainty estimators for guided interactive | segmentation | |
| Seeded Watersheds for Combined | segmentation | and Tracking of Cells |
| SeedNet: Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive | segmentation | |
| Seeds-Based Part | segmentation | by Seeds Propagation and Region Convexity Decomposition |
| Seeing Beyond the Patch: Scale-Adaptive Semantic | segmentation | of High-resolution Remote Sensing Imagery based on Reinforcement Learning |
| Seeing through clutter: Snake computation with dynamic programming for particle | segmentation | |
| Seeking multi-thresholds for image | segmentation | with Learning Automata |
| Seesaw Loss for Long-Tailed Instance | segmentation | |
| Seg&Struct: The Interplay Between Part | segmentation | and Structure Inference for 3D Shape Parsing |
| SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic | segmentation | of Remote Sensing Images |
| Seg-Hashnet: Semantic | segmentation | Based Unsupervised Hashing |
| Seg-Road: A | segmentation | Network for Road Extraction Based on Transformer and CNN with Connectivity Structures |
| Seg-XRes-CAM: Explaining Spatially Local Regions in Image | segmentation | |
| Seg3D: Volumetric Image | segmentation | and Visualization |
| SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time | segmentation | |
| SegCaps: An efficient SegCaps network-based skin lesion | segmentation | in dermoscopic images |
| SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic | segmentation | |
| segDeepM: Exploiting | segmentation | and context in deep neural networks for object detection |
| SegDenseNet: Iris | segmentation | for Pre-and-Post Cataract Surgery |
| SegEQA: Video | segmentation | Based Visual Attention for Embodied Question Answering |
| Segfix: Model-agnostic Boundary Refinement for | segmentation | |
| SegFlow: Joint Learning for Video Object | segmentation | and Optical Flow |
| SegGCN: Efficient 3D Point Cloud | segmentation | With Fuzzy Spherical Kernel |
| SegGroup: Seg-Level Supervision for 3D Instance and Semantic | segmentation | |
| SegLoc: Learning | segmentation | -Based Representations for Privacy-Preserving Visual Localization |
| SegMarsViT: Lightweight Mars Terrain | segmentation | Network for Autonomous Driving in Planetary Exploration |
| Segment as Points for Efficient and Effective Online Multi-Object Tracking and | segmentation | |
| Segment as Points for Efficient Online Multi-object Tracking and | segmentation | |
| Segment-before-Detect: Vehicle Detection and Classification through Semantic | segmentation | of Aerial Images |
| Segment-Forest for | segmentation | |
| Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic | segmentation | |
| Segment-Phrase Table for Semantic | segmentation | , Visual Entailment and Paraphrasing |
| Segmental Spatiotemporal CNNs for Fine-Grained Action | segmentation | |
| segmentation | |
| segmentation | According to Natural Examples: Learning Static Segmentation from Motion Segmentation |
| segmentation | According to Natural Examples: Learning Static Segmentation from Motion Segmentation |
| segmentation | According to Natural Examples: Learning Static Segmentation from Motion Segmentation |
| segmentation | Algorithm for Color Images, A |
| segmentation | algorithm for contrast-enhanced images, A |
| segmentation | Algorithm for Noisy Images, A |
| segmentation | algorithm for noisy images: Design and evaluation, A |
| segmentation | algorithm for SAR images based on the anisotropic heat diffusion equation, A |
| segmentation | Algorithm of Polyhedral Scene Using Three Dimensional Information, A |
| segmentation | Algorithm of the Valid Region in Fisheye Images Using Edge and Region Information |
| segmentation | and 2D Motion Estimation by Region Fragments |
| segmentation | and 3-D Recovery of Curved-Axis Generalized Cylinders from an Intensity Image |
| segmentation | and 3D Reconstruction of Non-Rigid Shape from RGB Video |
| segmentation | and Abstract Interpretation in an Image Understanding System |
| segmentation | and Aggregation: An Approach to Figure-Ground Phenomena |
| segmentation | and Analysis of 3D Volume Images |
| segmentation | and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images |
| segmentation | and Analysis of Liver Cancer Pathological Color Images based on Artificial Neural Networks |
| segmentation | and analysis of nerve fibers in histologic sections of the cerebral human cortex |
| segmentation | and analysis of the human airway tree from three-dimensional X-ray CT images |
| segmentation | and Analysis of the Oral and Nasal Cavities from MR Time Sequences |
| segmentation | and Analysis of Vocal Tract from MidSagittal Real-Time MRI |
| segmentation | and Appearance Model Building from an Image Sequence |
| segmentation | and Association Among Lines and Junctions for a Line Image |
| segmentation | and Boundary Detection Using Multiscale Intensity Measurements |
| segmentation | and Cell Tracking of Breast Cancer Cells |
| segmentation | and classification of 3-D spots in FISH images |
| segmentation | and Classification of Edges Using Minimum Description Length Approximation and Complementary Junction Cues |
| segmentation | and Classification of Geoenvironmental Zones of Interest in Aerial Images Using the Bounded Irregular Pyramid |
| segmentation | and classification of ground glass nodule on CT images |
| segmentation | and Classification of Human Forms using LADAR Data |
| segmentation | and Classification of Hyperspectral Images Using Minimum Spanning Forest Grown From Automatically Selected Markers |
| segmentation | and classification of hyperspectral images using watershed transformation |
| segmentation | and classification of meeting events using multiple classifier fusion and dynamic programming |
| segmentation | and classification of melanocytic skin lesions using local and contextual features |
| segmentation | and Classification of Mixed Text/Graphics/Image Documents |
| segmentation | and classification of modeled actions in the context of unmodeled ones |
| segmentation | and Classification of Nepal Earthquake Induced Landslides Using Sentinel-1 Product |
| segmentation | and Classification of Objects with Implicit Scene Context |
| segmentation | and Classification of Polarimetric SAR Data Using Spectral Graph Partitioning |
| segmentation | and Classification of Range Images |
| segmentation | and classification of road markings using MLS data |
| segmentation | and Classification of Targets in FLIR Imagery |
| segmentation | and classification of tuberculosis bacilli from ZN-stained sputum smear images |
| segmentation | and Classification-Based Diagnosis of Tumors From Breast Ultrasound Images Using Multibranch Unet |
| segmentation | and Clustering of Car-Following Behavior: Recognition of Driving Patterns |
| segmentation | and coding of Arabic handwritten words |
| segmentation | and Compression of SAR Imagery via Hierarchical Stochastic Modeling |
| segmentation | and Connectivity Reconstruction of Urban Rivers from Sentinel-2 Multi-Spectral Imagery by the WaterSCNet Deep Learning Model |
| segmentation | and Content-Based Watermarking for Color Image and Image Region Indexing and Retrieval |
| segmentation | and Contour Closing of Textured and Non-Textured Images Using Distances Between Textures |
| segmentation | and Crown Parameter Extraction of Individual Trees in an Airborne Tomosar Point Cloud |
| segmentation | and Denoising via an Adaptive Threshold Mumford-Shah-Like Functional |
| segmentation | and Description Based on Perceptual Organization |
| segmentation | and Description of Binocularly Viewed Contours |
| segmentation | and description of natural outdoor scenes |
| segmentation | and detection from organised 3D point clouds: A case study in broccoli head detection |
| segmentation | and Detection of Colorectal Polyps Using Local Polynomial Approximation |
| segmentation | and Detection of Nuclei in Silver Stained Cell Specimens for Early Cancer Diagnosis |
| segmentation | and Edge-Preserving Restoration |
| segmentation | and Enhancement of Latent Fingerprints: A Coarse to Fine Ridge Structure Dictionary |
| segmentation | and estimation of image motion by a robust method |
| segmentation | and Estimation of Image Region Properties Through Cooperative Hierarchical Computation |
| segmentation | and Estimation of Spatially Varying Illumination |
| segmentation | and estimation of the optical flow |
| segmentation | and extraction of the spinal canal in sagittal MR images |
| segmentation | and Factorization-Based Motion and Structure Estimation for Long Image Sequences |
| segmentation | and feature extraction for magnetic resonance brain image analysis |
| segmentation | and Feature Extraction of Handwritten Signature Patterns |
| segmentation | and Feature Extraction to Evaluate the Stomach Dynamic |
| segmentation | and features extraction techniques, with applications to biomedical images |
| segmentation | and Free Space Detection Using Gabor Filters |
| segmentation | and Fuzzy-Logic Classification of M-FISH Chromosome Images |
| segmentation | and Grouping of Object Boundaries Using Energy Minimization |
| segmentation | and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision |
| segmentation | and histogram generation using the HSV color space for image retrieval |
| segmentation | and Identification of Handwriting in Noisy Document Images, The |
| segmentation | and Identification of Small Intestinal Lesions Based on U-Net with Batch Normalization and Virtual Sample |
| segmentation | and Image Enhancement Using Coupled Anisotropic Diffusion |
| segmentation | and indexation of complex objects in comic book |
| segmentation | and Interpretation of Multicolored Objects with Highlights |
| segmentation | and Interpretation Using Multiple Physical Hypotheses of Image Formation |
| segmentation | and Labelling of EEG for Brain Computer Interfaces |
| segmentation | and localisation of whole slide images using unsupervised learning |
| segmentation | and matching: Towards a robust object detection system |
| segmentation | and Measurement of the Cortex from 3-D MR Images Using Coupled-Surfaces Propagation |
| segmentation | and modeling of approximately rotationally symmetric objects in 3D ultrasound |
| segmentation | and Modeling of Full Human Body Shape From 3-D Scan Data: A Survey |
| segmentation | and multi-model approximation of digital curves |
| segmentation | and Normalisation in Grapheme Codebooks |
| segmentation | and object detection with Gabor filters and cumulative histograms |
| segmentation | and object extraction algorithm with linear memory and time constraints, A |
| segmentation | and object extraction from anisotropic diffusion filtered LiDAR intensity data |
| segmentation | and Pose Estimation of Planar Metallic Objects |
| segmentation | and pre-recognition of Arabic handwriting |
| segmentation | and Preprocessing of Electrical Schematics Using Picture Graphs |
| segmentation | and Probabilistic Registration of Articulated Body Models |
| segmentation | and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT |
| segmentation | and Quantification of Blood Vessels in 3D Images using a Right Generalized Cylinder State Model |
| segmentation | and Quantification of Human Vessels Using a 3-D Cylindrical Intensity Model |
| segmentation | and range sensing using a moving-aperture lens |
| segmentation | and Recognition of Arabic Characters by Structural Classification |
| segmentation | and recognition of characters in scene images using selective binarization in color space and GAT correlation |
| segmentation | and recognition of characters on Tulu palm leaf manuscripts |
| segmentation | and recognition of Chinese bank check amounts |
| segmentation | and Recognition of Connected Handwritten Numeral Strings |
| segmentation | and Recognition of Continuous Gestures |
| segmentation | and Recognition of Continuous Handwriting Chinese Text |
| segmentation | and Recognition of Continuous Human Activity |
| segmentation | and Recognition of Dimensioning Text from Engineering Drawings |
| segmentation | and recognition of handwritten dates |
| segmentation | and recognition of handwritten dates: An HMM-MLP hybrid approach |
| segmentation | and Recognition of Handwritten Pitman Shorthand Outlines Using an Interactive Heuristic Search |
| segmentation | and Recognition of Petroglyphs Using Generic Fourier Descriptors |
| segmentation | and recognition of phonetic features in handwritten Pitman shorthand |
| segmentation | and Recognition of Printed Arabic Characters |
| segmentation | and Recognition of Traffic Signs Using Shape Information |
| segmentation | and recognition of vocalized outlines in Pitman shorthand |
| segmentation | and Recognition Strategy for Handwritten Phrases, A |
| segmentation | and Recognition Strategy of Handwritten Connected Digits Based on the Oriented Sliding Window |
| segmentation | and Recognition Using Structure from Motion Point Clouds |
| segmentation | and Reconstruction of Buildings with Aerial Oblique Photography Point Clouds |
| segmentation | and Reconstruction of Online Handwritten Scripts |
| segmentation | and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds |
| segmentation | and Recovery of SHGCS from a Real Intensity Image |
| segmentation | and Recovery of Superquadrics |
| segmentation | and Rectification of Pictures in the Camera-Captured Images of Printed Documents |
| segmentation | and region of interest based image retrieval in low depth of field observations |
| segmentation | and registration based analysis of microscopy images |
| segmentation | and removal of pulmonary arteries, veins and left atrial appendage for visualizing coronary and bypass arteries |
| segmentation | and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes |
| segmentation | and root localization for analysis of dental radiographs |
| segmentation | and scene modeling for MIL-based target localization |
| segmentation | and semantic labelling of RGBD data with convolutional neural networks and surface fitting |
| segmentation | and Shape Extraction from Convolutional Neural Networks |
| segmentation | and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model |
| segmentation | and size estimation of tomatoes from sequences of paired images |
| segmentation | and supervised classification of image objects in Epo doping-control |
| segmentation | and Surface Characterization of Arbitrary 3d Meshes for Object Reconstruction and Recognition |
| segmentation | and Surface-Based Modeling of Objects in Three-Dimensional Biomedical Images |
| segmentation | and Thematic Classification of Color Orthophotos Over Non-Compressed And JPEG 2000 Compressed Images |
| segmentation | and Tracking in Echocardiographic Sequences: Active Contours Guided by Optical Flow Estimates |
| segmentation | and tracking individual Pseudomonas aeruginosa bacteria in dense populations of motile cells |
| segmentation | and Tracking Multiple Objects Under Occlusion From Multiview Video |
| segmentation | and tracking of faces in color images |
| segmentation | and tracking of interacting human body parts under occlusion and shadowing |
| segmentation | and Tracking of Mammary Epithelial Organoids in Brightfield Microscopy |
| segmentation | and Tracking of Mesoscale Eddies in Numeric Ocean Models |
| segmentation | and tracking of migrating cells in videomicroscopy with parametric active contours: a tool for cell-based drug testing |
| segmentation | and tracking of moving objects for content-based video coding |
| segmentation | and Tracking of Multiple Humans in Complex Situations |
| segmentation | and Tracking of Multiple Humans in Crowded Environments |
| segmentation | and tracking of multiple interacting mice by temperature and shape information |
| segmentation | and tracking of multiple video objects |
| segmentation | and tracking of partial planar templates |
| segmentation | and Tracking of Piglets in Images |
| segmentation | and Tracking of Progenitor Cells in Time Lapse Microscopy |
| segmentation | and tracking of static and moving objects in video surveillance scenarios |
| segmentation | and tracking of video objects for a content-based video indexing context |
| segmentation | and Tracking of Video Objects: Suited to Content-based Video Indexing, Interactive Television and Production Systems |
| segmentation | and typography extraction in document images using geodesic active regions |
| segmentation | and visualization of left ventricle in MR cardiac images |
| segmentation | and Visualization of Multivariate Features Using Feature-Local Distributions |
| segmentation | and Volume Representation Based on Spheres for Non-rigid Registration |
| segmentation | and Word Spotting Methods for Printed and Handwritten Arabic Texts: A Comparative Study |
| segmentation | approach and comparison to hyperspectral object detection algorithms |
| segmentation | approach by learning: different image applications |
| segmentation | Approach in Novel Real Time 3D Plant Recognition System, A |
| segmentation | Approach to Classification of Remote Sensing Imagery, A |
| segmentation | as a Riemannian drum problem |
| segmentation | as selective search for object recognition |
| segmentation | as the Search for the Best Description of Images in Terms of Primitives |
| segmentation | based analysis of high resolution remotely sensed data for forest diversity characterization |
| segmentation | based approach for shape recovery from multi-color images, A |
| segmentation | Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach with Evaluation |
| segmentation | based compression for graylevel images |
| segmentation | based Denoising using Multiple Compaction Domains |
| segmentation | based disparity estimation using color and depth information |
| segmentation | Based Environment Modeling Using a Single Image |
| segmentation | Based Features for Lymph Node Detection from 3-D Chest CT |
| segmentation | Based Image Compression |
| segmentation | based image compression system |
| segmentation | Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods |
| segmentation | Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods |
| segmentation | based linear predictive coding of multispectral images |
| segmentation | based microscope autofocusing for blood smears |
| segmentation | Based Multi-Cue Integration for Object Detection |
| segmentation | Based Noise Variance Estimation from Background MRI Data |
| segmentation | based on fusion of range and intensity images using robust trimmed methods |
| segmentation | Based on Measures of Contrast, Homogeneity, and Region Size |
| segmentation | Based on Region-Tracking in Image Sequences for Traffic Monitoring |
| segmentation | Based on Routing Image Algorithms |
| segmentation | Based Online Word Recognition: A Conditional Random Field Driven Beam Search Strategy |
| segmentation | Based Particle Filtering for Real-Time 2D Object Tracking |
| segmentation | Based Recovery of Arbitrarily Warped Document Images |
| segmentation | Based Reversible Image Compression |
| segmentation | based robust interpolation: A new approach to laser data filtering |
| segmentation | Based Sparse Reconstruction of Optical Coherence Tomography Images |
| segmentation | Based Steganalysis of Spatial Images Using Local Linear Transform |
| segmentation | Based Tone-Mapping for High Dynamic Range Images |
| segmentation | Based Urdu Nastalique OCR |
| segmentation | Based Variational Model for Accurate Optical Flow Estimation, A |
| segmentation | by a Local and Global Fuzzy Gaussian Distribution Energy Minimization of an Active Contour Model |
| segmentation | by Classification for Through-the-Wall Radar Imaging Using Polarization Signatures |
| segmentation | by combining parametric optical flow with a color model |
| segmentation | by Continuous Latent Semantic Analysis for Multi-Structure Model Fitting |
| segmentation | by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces |
| segmentation | by Grouping Junctions |
| segmentation | by Level Sets and Symmetry |
| segmentation | by Minimal Description |
| segmentation | by Minimum Length Encoding |
| segmentation | by Nonlinear Diffusion |
| segmentation | by Nonlinear Diffusion, II |
| segmentation | by Region Growing Techniques |
| segmentation | by Smoothing B-Spline Active Surface |
| segmentation | by Split and Merge Techniques, Hierarchical |
| segmentation | by temporal detection integration |
| segmentation | by Texture Using a Co-Occurrence Matrix and a Split-and-Merge Algorithm |
| segmentation | by Texture Using a Split-and-Merge Algorithm |
| segmentation | by Texture Using Correlation |
| segmentation | by Thresholding |
| segmentation | by Thresholding, Quantization, or Relaxation |
| segmentation | by transduction |
| segmentation | by weighted aggregation and perceptual hash for pedestrian detection |
| segmentation | Characterization for Change Detection |
| segmentation | coding using edge detection and region merging |
| segmentation | d'Images Couleur par partitions de Voronoi |
| segmentation | d'images de mots manuscrits |
| segmentation | d'images par cooperation contours-regions |
| segmentation | Driven Low-rank Matrix Recovery for Saliency Detection |
| segmentation | Driven Object Detection with Fisher Vectors |
| segmentation | Edit Distance |
| segmentation | enhances material analysis in multi-energy CT: A simulation study |
| segmentation | for brain magnetic resonance images using dual-tree complex wavelet transform and spatial constrained self-organizing tree map |
| segmentation | for Classification of Screening Pancreatic Neuroendocrine Tumors |
| segmentation | for High-Resolution Optical Remote Sensing Imagery Using Improved Quadtree and Region Adjacency Graph Technique |
| segmentation | for Hyperspectral Images with Priors |
| segmentation | for Iris Localisation: A Novel Approach Suitable for Fake Iris Detection |
| segmentation | for Multiple Sclerosis Lesions Based on 3D Volume Enhancement and 3D Alpha Matting |
| segmentation | for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective |
| segmentation | for Robust Tracking in the Presence of Severe Occlusion |
| segmentation | Framework Based on Label Field Fusion |
| segmentation | Free Object Discovery in Video |
| segmentation | free Word Spotting for handwritten documents, A |
| segmentation | from a box |
| segmentation | from motion of non-rigid objects by neuronal lateral interaction |
| segmentation | from Motion: Combining Gabor- and Mallat-Wavelets to Overcome Aperture and Correspondence Problem |
| segmentation | from motion: Combining Gabor- and Mallat-Wavelets to Overcome the Aperture and Correspondence Problems |
| segmentation | from Natural Language Expressions |
| segmentation | fusion for connectomics |
| segmentation | given partial grouping constraints |
| segmentation | Guided Scoring of Pathological Lesions in Swine Through CNNs |
| segmentation | in 2D and 3D Image Using Tissue-Like P System |
| segmentation | in Acronym |
| segmentation | in Corridor Environments: Combining Floor and Ceiling Detection |
| segmentation | in Dynamic Image Sequences by Isolation of Coherent Wave Profiles |
| segmentation | in Echocardiographic Sequences Using Shape-Based Snake Model |
| segmentation | in multi-view video via color, depth and motion cues |
| segmentation | in scale space |
| segmentation | in Ultrasonic B-Mode Images of Healthy Carotid Arteries Using Mixtures of Nakagami Distributions and Stochastic Optimization |
| segmentation | in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network |
| segmentation | Induced by Scale Invariance |
| segmentation | information with attention integration for classification of breast tumor in ultrasound image |
| segmentation | Informed by Manifold Learning |
| segmentation | is Tracking: Spatial-Temporal Map Vehicle Trajectory Reconstruction and Validation |
| segmentation | mask guided end-to-end person search |
| segmentation | Method Based on Fusion Algorithm for Coronary Angiograms |
| segmentation | Method Based on Fuzzy Topology and Clustering, A |
| segmentation | Method Based on Motion from Image Sequence and Depth, A |
| segmentation | method based on the deep fuzzy segmentation model in combined with SCANDLE clustering, A |
| segmentation | method based on the deep fuzzy segmentation model in combined with SCANDLE clustering, A |
| segmentation | method for bibliographic references by contextual tagging of fields, A |
| segmentation | method for handwritten Japanese character lines based on transitional information, A |
| segmentation | method for medical image based on improved GrabCut |
| segmentation | method for multi-connected particle delineation, A |
| segmentation | method for touching italic characters, A |
| segmentation | method for touching Japanese handwritten characters based on connecting condition of lines, A |
| segmentation | Method for Tree Crown Detection and Modelling from LiDAR Measurements, A |
| segmentation | method for use against moving objects |
| segmentation | method of multiple sclerosis lesions based on 3D-CNN networks |
| segmentation | Method of Single- and Multiple-Touching Characters in Offline Handwritten Japanese Text Recognition, A |
| segmentation | Method Using Compound Markov Random Fields Based on a General Boundary Model, A |
| segmentation | Methodology for Automated Classification and Differentiation of Soft Tissues in Multiband Images of High-Resolution Ultrasonic Transmission Tomography |
| segmentation | Methods for Character Recognition: From Segmentation to Document Structure Analysis |
| segmentation | Methods for Character Recognition: From Segmentation to Document Structure Analysis |
| segmentation | methods for detection of stationary vehicles in combined elevation and optical data |
| segmentation | Methods for Recognition of Machine-Printed Characters |
| segmentation | Model and Application to Endoscopic Images, A |
| segmentation | Model Using Compound Markov Random Fields Based on a Boundary Model, A |
| segmentation | modeling |
| segmentation | models diversity for object proposals |
| segmentation | non Supervisee d'Images Multispectrales par Chaines de Markov Cachees |
| segmentation | of 2 1/2 D brain image stacks with automatic extraction and visualization of functional information |
| segmentation | of 2D and 3D Images Through a Hierarchical Clustering Based on Region Modeling |
| segmentation | of 2D and 3D Images Through a Hierarchical Clustering Based on Region Modelling |
| segmentation | of 2D and 3D Objects with Intrinsically Similarity Invariant Shape Regularisers |
| segmentation | of 3-D Range Images Using Pyramidal Data Structures |
| segmentation | of 3D Articulated Components by Slice-Based Vertex-Weighted Reeb Graph |
| segmentation | of 3D Articulated Objects by Dynamic Grouping of Discontinuities |
| segmentation | of 3D CT Volume Images Using a Single 2D Atlas |
| segmentation | of 3D Head MR Images Using Morphological Reconstruction Under Constraints and Automatic Selection of Markers |
| segmentation | of 3D Images Using the Random Walking Technique on a Randomly Created Image Adjacency Graph, The |
| segmentation | of 3D Meshes Using p-Spectral Clustering |
| segmentation | of 3D object in volume dataset using active deformable model |
| segmentation | of 3D Objects from MRI Volume Data Using Constrained Elastic Deformations of Flexible Fourier Surface Models |
| segmentation | of 3D outdoor scenes using hierarchical clustering structure and perceptual grouping laws |
| segmentation | of 3D Photogrammetric Point Cloud for 3D Building Modeling |
| segmentation | of 3D Point Cloud Data Representing Full Human Body Geometry: A Review |
| segmentation | of 3D points from range camera data using scanlines |
| segmentation | of 3D textured images using continuous wavelet transform |
| segmentation | of 3D-volumes Using Second Derivatives |
| segmentation | of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts |
| segmentation | of a Class of Ophtalmological Images Using a Directional Variance Operator and Cooccurrence Arrays |
| segmentation | of a head into face, ears, neck and hair for knowledge-based analysis-synthesis coding of videophone sequences |
| segmentation | of a High-Resolution Urban Scene Using Texture Operators |
| segmentation | of a Piece-Wise Planar Scene from Perspective Images |
| segmentation | of a Seismic Section Using Image Processing and Artificial Intelligence Techniques |
| segmentation | of a Thematic Mapper Image Using the Fuzzy C-Means Clustering Algorithms |
| segmentation | of a Vector Field: Dominant Parameter and Shape Optimization |
| segmentation | of a Wrap-Around Model Using an Active Contour |
| segmentation | of Abdominal Organs Incorporating Prior Knowledge in Small Animal CT |
| segmentation | of Acne Vulgaris Lesions |
| segmentation | of airborne laser scanning data using a slope adaptive neighborhood |
| segmentation | of Aliasing Artefacts in Ultrasound Color Flow Imaging Using Convolutional Neural Networks |
| segmentation | of an Image Sequence Using Multi-Dimensional image attributes |
| segmentation | of anatomical structures from 3D brain MRI using automatically-built statistical shape models |
| segmentation | of Anatomical Structures in Brain MR Images Using Atlases in FSL: A Quantitative Approach |
| segmentation | of Anatomical Structures in Four-Chamber View Echocardiogram Images |
| segmentation | of Arabic Cursive Script |
| segmentation | of Arabic Handwriting Based on both Contour and Skeleton Segmentation |
| segmentation | of Arabic Handwriting Based on both Contour and Skeleton Segmentation |
| segmentation | of Arteries in Minimally Invasive Surgery Using Change Detection |
| segmentation | of Artery Wall in Coronary IVUS Images: A Probabilistic Approach |
| segmentation | of Axillary and Supraclavicular Tumoral Lymph Nodes in PET/CT: A Hybrid CNN/Component-Tree Approach |
| segmentation | of Bangla unconstrained handwritten text |
| segmentation | of Bilevel Images Using Mathematical Morphology |
| segmentation | of Blood Images Using Morphological Operators |
| segmentation | of Blood Smears by Hierarchical Thresholding |
| segmentation | of blurred objects by classification of isolabel contours |
| segmentation | of bone marrow stromal cells in phase contrast microscopy images |
| segmentation | of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features |
| segmentation | of brain magnetic resonance images using a novel fuzzy clustering based method |
| segmentation | of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm |
| segmentation | of Brain MR Images Using Reformative Expectation-maximization Algorithm, The |
| segmentation | of brain MRI using active contour model |
| segmentation | of Brain Tissue from MR Images |
| segmentation | of brain tumor subregions with depthwise separable dense U-NET (DSDU-NET) |
| segmentation | of Brain Tumors in CT Images Using Level Sets |
| segmentation | of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation |
| segmentation | of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE |
| segmentation | of Breast MRI Scans in the Presence of Bias Fields |
| segmentation | of bright targets using wavelets and adaptive thresholding |
| segmentation | of brush strokes by saliency preserving dual graph contraction |
| segmentation | of Building Facade Domes |
| segmentation | of Building Facade Towers |
| segmentation | of building facades using procedural shape priors |
| segmentation | of cam-type femurs from CT scans |
| segmentation | of cancellous bone from high-resolution computed tomography images: influence on trabecular bone measurements |
| segmentation | of Cardiac Cine MR Images for Extraction of Right and Left Ventricular Chambers |
| segmentation | of Carotid Arteries in CTA Images |
| segmentation | of cell clusters in Pap smear images using intensity variation between superpixels |
| segmentation | of Cell Nuclei in Arabidopsis Thaliana Roots |
| segmentation | of Cell Nuclei in Fluorescence Microscopy Images Using Deep Learning |
| segmentation | of cell nuclei in fluorescence microscopy images: An integrated framework using level set segmentation and touching-cell splitting |
| segmentation | of cell nuclei in fluorescence microscopy images: An integrated framework using level set segmentation and touching-cell splitting |
| segmentation | of Cell Nuclei in Tissue by Combining Seeded Watersheds with Gradient Information |
| segmentation | of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach |
| segmentation | of cells in electron microscopy images through multimodal label transfer |
| segmentation | of cellular structures in actin tagged fluorescence confocal microscopy images |
| segmentation | of Cervical Cell Images |
| segmentation | of Cervical Cells: Detection of Overlapping Cell Nuclei |
| segmentation | of Chinese Postal Envelope Images for Address Block Location |
| segmentation | of Chromatic Images |
| segmentation | of Circular and Rectangular Shapes in an Image Using Helmholtz Principle |
| segmentation | of clusters by template rotation expectation maximization |
| segmentation | of Coarse and Fine Scale Features Using Multi-scale Diffusion and Mumford-Shah |
| segmentation | of Collagen Fiber Bundles in 3D by Waterfall on Orientations |
| segmentation | of Color Image Using Deterministic Annealing EM |
| segmentation | of Color Images Based on the Gravitational Clustering Concept |
| segmentation | of color images of plants with a Markovian Mean Shift |
| segmentation | of color images using a two-stage self-organizing network |
| segmentation | of Color Images Using Multiscale Clustering and Graph Theoretic Region Synthesis |
| segmentation | of color images via reversible jump MCMC sampling |
| segmentation | of Color Textures |
| segmentation | Of Colour Images Containing Highly Similar Colour Regions |
| segmentation | of colour images using variational expectation-maximization algorithm |
| segmentation | of Colour Images with Highlights and Shadows Using Fuzzy-like Reasoning |
| segmentation | of complex buildings from aerial images and 3D surface reconstruction |
| segmentation | of Complex Images Based on Component-Trees: Methodological Tools |
| segmentation | of complex nucleus configurations in biological images |
| segmentation | of Compressed Documents |
| segmentation | of connected Chinese characters based on genetic algorithm |
| segmentation | of connected handwritten numeral strings |
| segmentation | of connected handwritten numerals by graph representation |
| segmentation | of Cortical Spreading Depression Wavefronts Through Local Similarity Metric |
| segmentation | of crowd flow by trajectory clustering in active contours |
| segmentation | of crystalline lens in photorefraction video |
| segmentation | of Cursive Handwriting: An Approach Based on Off-Line Recovery of the Motor-Temporal Information, The |
| segmentation | of Damaged Buildings from Laser Scanning Data |
| segmentation | Of Defects In Textile Fabric |
| segmentation | of defects on log surface from terrestrial lidar data |
| segmentation | of deformable templates with level sets characterized by particle systems |
| segmentation | of Degraded Malayalam Words: Methods and Evaluation |
| segmentation | of Dense 2D Bacilli Populations |
| segmentation | of Dense Leukocyte Clusters |
| segmentation | of Depth-of-Field Images Based on the Response of ICA Filters |
| segmentation | of dermatoscopic images by stabilized inverse diffusion equations |
| segmentation | of Dermoscopy Images Based on Fully Convolutional Neural Network |
| segmentation | of Digital Curves Using Linguistic Techniques |
| segmentation | of Digital Images Using a Priori Information about the Expected Image Contents |
| segmentation | of Digital Plane-Curves: A Dynamic Focusing Approach |
| segmentation | of Discrete Curves into Fuzzy Segments |
| segmentation | of discrete point clouds using an extensible set of templates |
| segmentation | of Distinct Homogeneous Color Regions in Images |
| segmentation | of diverse image types using opening and closing |
| segmentation | of DNA microarray images using an adaptive graph-based method |
| segmentation | of Document Images |
| segmentation | of Drosophila RNAI Fluorescence Images Using Level Sets |
| segmentation | of Dynamic Emission Tomography Data in Projection Space |
| segmentation | of dynamic objects in video sequences fusing the strengths of a background subtraction model, optical flow and matting algorithms |
| segmentation | of dynamic scenes from image intensities |
| segmentation | of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies |
| segmentation | of echocardiographic images |
| segmentation | of echocardiographic images with Markov random fields |
| segmentation | of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes |
| segmentation | of Edges into Lines and Arcs |
| segmentation | of elongated objects using attribute profiles and area stability: Application to melanocyte segmentation in engineered skin |
| segmentation | of elongated objects using attribute profiles and area stability: Application to melanocyte segmentation in engineered skin |
| segmentation | of external force field for automatic initialization and splitting of snakes |
| segmentation | of Exudates and Optic Disk in Retinal Images |
| segmentation | of Facades from Urban 3D Point Clouds Using Geometrical and Morphological Attribute-Based Operators |
| segmentation | of Faces in Video Footage Using Controlled Weights on HSV Color |
| segmentation | of faces in video footage using HSV color for face detection and image retrieval |
| segmentation | of Femoral Head from CT after Femoral Neck Fracture |
| segmentation | of Fingerprint Images Using the Directional Image |
| segmentation | of fingerprint images: A composite method |
| segmentation | of FLIR images by Hopfield neural network with edge constraint |
| segmentation | of FLIR Images by Pixel Classification |
| segmentation | of FLIR Images: A Comparative Study |
| segmentation | of fMRI Data by Maximization of Region Contrast |
| segmentation | of Frame Sequence Obtained by a Moving Observer |
| segmentation | of fuzzy images: A novel and fast two-step pseudo MAP method |
| segmentation | of Gabor-Filtered Textures Using Deterministic Relaxation |
| segmentation | of gait cycles using foot-mounted 3D accelerometers |
| segmentation | of Gated SPECT Images for Automatic Computation of Myocardial Volume and Ejection Fraction |
| segmentation | of Geometric Signals Using Robust Fitting |
| segmentation | of glioma tumors using convolutional neural networks |
| segmentation | of Global Motion using Temporal Probabilistic Classification |
| segmentation | of Graphical Objects as Maximally Stable Salient Regions |
| segmentation | of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions |
| segmentation | of Green Areas Using Bivariate Histograms Based in Hue-Saturation Type Color Spaces |
| segmentation | of green vegetation of crop canopy images based on mean shift and Fisher linear discriminant |
| segmentation | of handprinted letter strings using a dynamic programming algorithm |
| segmentation | of Handwritten Arabic Graphemes Using a Directed Convolutional Neural Network and Mathematical Morphology Operations |
| segmentation | of Handwritten Characters |
| segmentation | of Handwritten Characters for Digitalizing Korean Historical Documents |
| segmentation | of Handwritten Connected Numeral String Using Background and Foreground Analysis |
| segmentation | of Handwritten Interference Marks Using Multiple Directional Stroke Planes and Reformalized Morphological Approach |
| segmentation | of Handwritten Kanji Numerals Integrating Peripheral Information by Bayesian Rule |
| segmentation | of Handwritten Signature Images Using the Statistics of Directional Data |
| segmentation | of Handwritten Textlines in Presence of Touching Components |
| segmentation | of harmonic syllables in noisy recordings of bird vocalisations |
| segmentation | of Head and Neck Organs at Risk Using CNN with Batch Dice Loss |
| segmentation | of heterogeneous blob objects through voting and level set formulation |
| segmentation | of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures |
| segmentation | of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering |
| segmentation | of High Spatial Resolution Remote Sensing Imagery Based on Hard-Boundary Constraint and Two-Stage Merging |
| segmentation | of Highly Lignified Zones in Wood Fiber Cross-Sections |
| segmentation | of highly unstructured handwritten documents using a neural network technique |
| segmentation | of Histopathological Sections Using Snakes |
| segmentation | of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths |
| segmentation | of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths |
| segmentation | of Human Body Parts Using Deformable Triangulation |
| segmentation | of Human Body Parts Using Deformable Triangulation 2 |
| segmentation | of Human Faces in Color Images Using Connected Operators |
| segmentation | of Hybrid Motions via Hybrid Quadratic Surface Analysis |
| segmentation | of Hyperspectral Images for the Detection of Rotten Mandarins |
| segmentation | of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines |
| segmentation | of image features using hierarchical analysis of multi-valued image data and weighted averaging of segmentation results |
| segmentation | of image features using hierarchical analysis of multi-valued image data and weighted averaging of segmentation results |
| segmentation | of Image Pairs for 3d Reconstruction |
| segmentation | of Image Sequences for Object Oriented Coding |
| segmentation | of Image Sequences Using SOFM Networks |
| segmentation | of Imagery Using Network Snakes |
| segmentation | of Images Based on Intensity Gradient Information |
| segmentation | of images for environmental studies using a simple Markov/Gibbs random field model |
| segmentation | of Images Having Unimodal Distributions |
| segmentation | of Images Into Regions Using Edge Information |
| segmentation | of Images of Lead Free Solder |
| segmentation | of Images on Polar Coordinate Meshes |
| segmentation | of images through curve fitting analysis by modified Vandermonde matrix and modified Gram-Schmidt method |
| segmentation | of Images Using a Relaxation Technique |
| segmentation | of Images via Scale-space Trees, The |
| segmentation | of Images with Incompletely Specified Regions |
| segmentation | of images with separating layers by fuzzy c-means and convex optimization |
| segmentation | of Individual Tree Points by Combining Marker-Controlled Watershed Segmentation and Spectral Clustering Optimization |
| segmentation | of Individual Tree Points by Combining Marker-Controlled Watershed Segmentation and Spectral Clustering Optimization |
| segmentation | of infant brain MR images based on adaptive shape prior and higher-order MGRF |
| segmentation | of Inter-neurons in Three Dimensional Brain Imagery |
| segmentation | of Intertwining Stringlike Objects in Three Dimensional CT Image Based on Positional Information |
| segmentation | of Intra-Retinal Layers From Optical Coherence Tomography Images Using an Active Contour Approach |
| segmentation | of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net |
| segmentation | of Intracranial Vessels and Aneurysms in Phase Contrast Magnetic Resonance Angiography Using Multirange Filters and Local Variances |
| segmentation | of ISAR Images of Targets Moving in Formation |
| segmentation | of ischemic stroke area from CT brain images |
| segmentation | of Japanese Handwritten Characters Using Peripheral Feature Analysis |
| segmentation | of Kidney by Using a Deformable Model |
| segmentation | of Kidney Cortex in MRI Studies using a Constrained Morphological 3D H-maxima Transform |
| segmentation | of kidney from ultrasound images based on texture and shape priors |
| segmentation | of kidneys from computed tomography using 3D fast GrowCut algorithm |
| segmentation | of Knee Thermograms for Detecting Inflammation |
| segmentation | of Laparoscopic Images for Computer Assisted Surgery |
| segmentation | of Laparoscopic Images: Integrating Graph-Based Segmentation and Multistage Region Merging |
| segmentation | of Laparoscopic Images: Integrating Graph-Based Segmentation and Multistage Region Merging |
| segmentation | of large brain lesions |
| segmentation | of Large Historical Manuscript Bundles into Multi-page Deeds |
| segmentation | of large images based on super-pixels and community detection in graphs |
| segmentation | of large-scale remotely sensed images on a Spark platform: A strategy for handling massive image tiles with the MapReduce model |
| segmentation | of Laser Point Clouds in Urban Areas by a Modified Normalized Cut Method |
| segmentation | of left ventricle from 3D cardiac MR image sequences using a subject-specific dynamical model |
| segmentation | of left ventricle on dynamic MRI sequences for blood flow cancellation in Thermotherapy |
| segmentation | of left ventricles from echocardiographic sequences via sparse appearance representation |
| segmentation | of Lesion in Dermoscopy Images Using Dense-Residual Network with Adversarial Learning |
| segmentation | of LIDAR and InSAR Elevation Data for Building Reconstruction |
| segmentation | of LiDAR Intensity Using CNN Feature Based on Weighted Voting |
| segmentation | of light field image with the structure tensor |
| segmentation | of Lip Pixels for Lip Tracker Initialisation |
| segmentation | of Liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms |
| segmentation | of liver tumor via nonlocal active contours |
| segmentation | of Locally Varying Numbers of Outer Retinal Layers by a Model Selection Approach |
| segmentation | of longitudinal brain MR images using bias correction embedded fuzzy c-means with non-locally spatio-temporal regularization |
| segmentation | of Low-Quality Typewritten Digits |
| segmentation | of lung airways based on deep learning methods |
| segmentation | of Lung Tumor in Cone Beam CT Images Based on Level-Sets |
| segmentation | of Lungs with Interstitial Lung Disease in CT Scans: A TV-L 1 Based Texture Analysis Approach |
| segmentation | of Macular Fluorescein Angiographies. A Statistical Approach |
| segmentation | of magnetic resonance brain image: Integrating region growing and edge detection |
| segmentation | of Magnetic Resonance Images Using Fuzzy Markov Random Fields |
| segmentation | of magnetic resonance images using mean field annealing |
| segmentation | of Magnetic-Resonance Brain Images Using Analog Constraint Satisfaction Neural Networks |
| segmentation | of Main Weld Seam Area Based on MGLNS-Retinex Image Enhancement Algorithm |
| segmentation | of Malaria Parasites in Peripheral Blood Smear Images |
| segmentation | of Marine SAR Images by Sublook Analysis and Application to Sea Traffic Monitoring |
| segmentation | of Medical Images |
| segmentation | of medical images for the extraction of brain tumors: A comparative study between the Hidden Markov and Deep Learning approaches |
| segmentation | of medical images using geo-theoretic distance matrix in fuzzy clustering |
| segmentation | of Medical Images using LEGION |
| segmentation | of Medical Images Using Three-Dimensional Active Shape Models |
| segmentation | of Medical Images with Regional Inhomogeneities |
| segmentation | of Medical Ultrasound Images using Active Contours |
| segmentation | of Merged Characters by Neural Networks and Shortest Path |
| segmentation | of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations |
| segmentation | of Microarray Images by Mathematical Morphology |
| segmentation | of microscope cell images via adaptive eigenfilters |
| segmentation | of Microscopic Image of Colorants Using U-net Based Deep Convolutional Networks for Material Appearance Design |
| segmentation | of molecular surfaces based on their convex hull |
| segmentation | of monochrome and color textures using moving average modeling approach |
| segmentation | of motion objects from surveillance video sequences using partial correlation |
| segmentation | of Motion Objects from Surveillance Video Sequences Using Temporal Differencing Combined with Multiple Correlation |
| segmentation | of Moving Cells in Bright Field and Epi-Fluorescent Microscopic Image Sequences |
| segmentation | of Moving Objects by Long Term Video Analysis |
| segmentation | of Moving Objects by Robust Motion Parameter Estimation over Multiple Frames |
| segmentation | of Moving Observer Frame Sequences |
| segmentation | of MR Brain Images Through Hidden Markov Random Field and Hybrid Metaheuristic Algorithm |
| segmentation | of MR images using neural nets |
| segmentation | of MR-Images With Intensity Inhomogeneities |
| segmentation | of Multi-Band Images Using Watershed Arcs |
| segmentation | of multi-modality MR images by means of evidence theory for 3d reconstruction of brain tumors |
| segmentation | of multi-spectral images using a combined classifier approach |
| segmentation | of multi-spectral images using the combined classifier approach |
| segmentation | of Multi-temporal UV-Induced Fluorescence Images of Historical Violins |
| segmentation | of Multibeam Acoustic Imagery in the Exploration of the Deep Sea-Bottom |
| segmentation | of Multidimensional Images |
| segmentation | of Multimodal Images Based on Hierarchies of Partitions |
| segmentation | of Multimodal MRI of Hippocampus Using 3D Grey-Level Morphology Combined with Artificial Neural Networks |
| segmentation | of Multiple Motions by Edge Tracking between Two Frames |
| segmentation | of multiple salient closed contours from real images |
| segmentation | of multiple sclerosis lesions from mr brain images using the principles of fuzzy-connectedness and artificial neuron networks |
| segmentation | of multiple sclerosis lesions in intensity corrected multispectral MRI |
| segmentation | of Multiple Structures in Chest Radiographs Using Multi-task Fully Convolutional Networks |
| segmentation | of multiple, partially occluded objects by grouping, merging, assigning part detection responses |
| segmentation | of multispectral images of works of art through principal component analysis |
| segmentation | of multispectral remote sensing images using active support vector machines |
| segmentation | of Multivariate Mixed Data via Lossy Data Coding and Compression |
| segmentation | of Muscle Fibre Images Using Voronoi Diagrams and Active Contour Models |
| segmentation | of Muscle Fibres in Fluorescence Microscopy Images |
| segmentation | of Music Primitives |
| segmentation | of Myocardial Regions in Echocardiography Using the Statistics of the Radio-Frequency Signal |
| segmentation | of myocardium using velocity field constrained front propagation |
| segmentation | of Nanocolumnar Crystals from Microscopic Images |
| segmentation | of natural images based on multiresolution pyramids linking of the parameters of an autoregressive rotation invariant model. Application to leather defects detection |
| segmentation | of natural images based on super pixel and graph merging |
| segmentation | of Natural Images by Texture and Boundary Compression |
| segmentation | of Natural Images for CBIR |
| segmentation | of natural images using anisotropic diffusion and linking of boundary edges |
| segmentation | of Natural Images Using Self-Organising Feature Maps |
| segmentation | of Natural Scenes |
| segmentation | of Natural Scenes |
| segmentation | of nautical chart components using mathematical morphology |
| segmentation | of Neighboring Structures by Modeling Their Interaction |
| segmentation | of networks from VHR remote sensing images using a directed phase field HOAC model |
| segmentation | of neural stem cells/neurospheres in high content brightfield microscopy images using localized level sets |
| segmentation | of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction |
| segmentation | of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres |
| segmentation | of Neurons Using Mathematical Morphology |
| segmentation | of noisy colour images using cauchy distribution in the complex wavelet domain |
| segmentation | of Noisy Discrete Surfaces |
| segmentation | of noisy images using information theory based approaches |
| segmentation | of non-rigid object in a non-parametric MAP framework |
| segmentation | of non-rigid video objects using long term temporal consistency |
| segmentation | of Nuclei in Histopathology Images by Deep Regression of the Distance Map |
| segmentation | of nucleus based on dynamic convolution and deep features of stain distribution |
| segmentation | of object regions using depth information |
| segmentation | of object surfaces using the Haar wavelet at multiple resolutions |
| segmentation | of objects in a detection window by Nonparametric Inhomogeneous CRFs |
| segmentation | of Objects in Temporal Images Using the Hidden Markov Model |
| segmentation | of occluded sidewalks in satellite images |
| segmentation | of oct skin images by classification of speckle statistical parameters |
| segmentation | of off-line cursive handwriting using linear programming |
| segmentation | of On-Line Freely Written Japanese Text Using SVM for Improving Text Recognition |
| segmentation | of on-line handwritten Japanese text of arbitrary line direction by a neural network for improving text recognition |
| segmentation | of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition |
| segmentation | of Optical Flow and 3D Data for the Interpretation of Mobile Objects |
| segmentation | of Optical Flow Fields by Pyramid Linking |
| segmentation | of osteosarcoma in MRI images by K-means clustering, Chan-Vese segmentation, and iterative Gaussian filtering |
| segmentation | of osteosarcoma in MRI images by K-means clustering, Chan-Vese segmentation, and iterative Gaussian filtering |
| segmentation | of osteosarcoma tumor using diffusion weighted MRI: A comparative study using nine segmentation algorithms |
| segmentation | of osteosarcoma tumor using diffusion weighted MRI: A comparative study using nine segmentation algorithms |
| segmentation | of overlapping cells in cervical smears based on spatial relationship and Overlapping Translucency Light Transmission Model |
| segmentation | of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement |
| segmentation | of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted From Contour Fragments |
| segmentation | of Overlapping Elliptical Objects in Silhouette Images |
| segmentation | of overlapping/aggregating nuclei cells in biological images |
| segmentation | of page images having artifacts of photocopying and scanning |
| segmentation | of Page Images Using the Area Voronoi Diagram |
| segmentation | of Parasites for High-content Screening Using Phase Congruency and Grayscale Morphology |
| segmentation | of Parchment Scrolls for Virtual Unrolling |
| segmentation | of Partially Overlapping Convex Objects Using Branch and Bound Algorithm |
| segmentation | of Partially Overlapping Nanoparticles Using Concave Points |
| segmentation | of pathological lungs from CT chest images |
| segmentation | of Pathological Structures by Landmark-Assisted Deformable Models |
| segmentation | of People in Motion |
| segmentation | of Pericardial Adipose Tissue in CMR Images: A Benchmark Dataset MRPEAT and a Triple-Stage Network 3SUnet |
| segmentation | of periodically moving objects |
| segmentation | of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image |
| segmentation | of Perspective Textured Planes through the Ridges of Continuous Wavelet Transform |
| segmentation | of Phase-contrast MR Images for Aortic Pulse Wave Velocity Measurements |
| segmentation | of Pictures and Maps Through Functional Approximation |
| segmentation | of Pictures into Regions with a Tile-by-Tile Method |
| segmentation | of Pigment Signs in Fundus Images for Retinitis Pigmentosa Analysis by Using Deep Learning |
| segmentation | of Planar Curves into Circular Arcs and Line Segments |
| segmentation | of planar curves using local and global behaviour analysis |
| segmentation | of Planar Objects and Their Shadows in Motion Sequences |
| segmentation | of planar surfaces in LiDAR point clouds of an electrical substation by exploring the structure of points neighbourhood |
| segmentation | of Plane Curves |
| segmentation | of plant cell pictures |
| segmentation | of Plants and Weeds for a Precision Crop Protection Robot Using Infrared Images |
| segmentation | of PMSE Data Using Random Forests |
| segmentation | of point clouds using smoothness constraint |
| segmentation | of Point Clouds with K-means and ANN (Artifical Neural Network), The |
| segmentation | of Polarimetric Synthetic Aperture Radar Data |
| segmentation | of postal envelopes for address block location: an approach based on feature selection in wavelet space |
| segmentation | of Printed Circuit Board Images into Basic Patterns |
| segmentation | of prostate boundaries from ultrasound images using statistical shape model |
| segmentation | of Prostate Boundaries Using Regional Contrast Enhancement |
| segmentation | of Prostate in Diffusion MR Images via Clustering |
| segmentation | of Prostate Using Interactive Finsler Active Contours and Shape Prior |
| segmentation | of Psoriasis Vulgaris Images Using Multiresolution-Based Orthogonal Subspace Techniques |
| segmentation | of Pulmonary Nodules in Thoracic CT Scans: A Region Growing Approach |
| segmentation | of radar imagery using the Gaussian Markov random field model |
| segmentation | of Random-Fields via Borrowed Strength Density-Estimation |
| segmentation | of range and intensity images using multiscale Markov random field representations |
| segmentation | of range data based on a stochastic clustering method with competitive process |
| segmentation | of Range Data for the Automatic Construction of Models of Articulated Objects |
| segmentation | of Range Data into Planar and Quadratic Patches |
| segmentation | of Range Data into Rigid Subsets using Planar Surface Patches |
| segmentation | of Range Data into Rigid Subsets Using Surface Patches |
| segmentation | Of Range Images |
| segmentation | of Range Images as the Search for Geometric Parametric Models |
| segmentation | of Range Images into Planar Regions |
| segmentation | of Range Images into Planar Surfaces by Split and Merge |
| segmentation | of Range Images Through the Integration of Different Strategies |
| segmentation | of Range Images Via Data Fusion and Morphological Watersheds |
| segmentation | of Range Images: An Orthogonal Moment-Based Integrated Approach |
| segmentation | of Rat Cardiac Ultrasound Images with Large Dropout Regions |
| segmentation | of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image |
| segmentation | of regions in jpeg compressed medical images |
| segmentation | of remote-sensing images by incremental neural network |
| segmentation | of remote-sensing images by supervised TS-MRF |
| segmentation | of remotely sensed images using wavelet features and their evaluation in soft computing framework |
| segmentation | of remotely sensed images with fuzzy thresholding, and quantitative evaluation |
| segmentation | of Retinal Arterial Bifurcations in 2D Adaptive Optics Ophthalmoscopy Images |
| segmentation | of Retinal Arteries in Adaptive Optics Images |
| segmentation | of Retinal Blood Vessels based on the Second Directional Derivative and Region Growing |
| segmentation | of Retinal Blood Vessels Based on Ultimate Elongation Opening |
| segmentation | of retinal blood vessels by combining the detection of centerlines and morphological reconstruction |
| segmentation | of retinal blood vessels using the radial projection and semi-supervised approach |
| segmentation | of retinal vessels in adaptive optics images for assessment of vasculitis |
| segmentation | of Retinal Vessels Using Nonlinear Projections |
| segmentation | of RGB-D indoor scenes by stacking random forests and conditional random fields |
| segmentation | of rice disease spots based on improved BPNN |
| segmentation | of Right Ventricle in Cardiac MR Images Using Shape Regression |
| segmentation | of Rigid Motion from Non-rigid 2D Trajectories |
| segmentation | of road scenes using color and fractal-based texture classification |
| segmentation | of Rodent Whole-Body Dynamic PET Images: An Unsupervised Method Based on Voxel Dynamics |
| segmentation | of Rough Surfaces using Reflectance |
| segmentation | of Rumex obtusifolius using Gaussian Markov random fields |
| segmentation | of Saimaa Ringed Seals for Identification Purposes |
| segmentation | of Salient Closed Contours from Real Images |
| segmentation | of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data |
| segmentation | of Sandplain Lupin Weeds from Morphologically Similar Narrow-Leafed Lupins in the Field |
| segmentation | of SAR images |
| segmentation | of SAR Images Using a Local Similarity Rule |
| segmentation | of Satellite Imagery of Natural Scenes Using Data Mining |
| segmentation | of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification |
| segmentation | of Scanned Insect Footprints Using ART2 for Threshold Selection |
| segmentation | of Scanned Mesh into Analytic Surfaces Based on Robust Curvature Estimation and Region Growing |
| segmentation | of Shadowed Buildings in Dense Urban Areas from Aerial Photographs |
| segmentation | of shapes |
| segmentation | of Short Association Bundles in Massive Tractography Datasets Using a Multi-subject Bundle Atlas |
| segmentation | of Similar Images Using Graph Matching and Community Detection |
| segmentation | of Single Gray Level Pictures of General 3D Scenes |
| segmentation | of Single Standing Dead Trees In High-resolution Aerial Imagery with Generative Adversarial Network-based Shape Priors |
| segmentation | of Single- or Multiple-Touching Handwritten Numeral String Using Background and Foreground Analysis |
| segmentation | of Sinus Images for Grading of Severity of Sinusitis |
| segmentation | of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration |
| segmentation | of Skin Lesions in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model |
| segmentation | of Skin Lesions Using Level Set Method |
| segmentation | of Skin Spectral Images Using Simulated Illuminations |
| segmentation | of Skull Base Tumors from MRI Using a Hybrid Support Vector Machine-Based Method |
| segmentation | of Sloped Roofs from Airborne LiDAR Point Clouds Using Ridge-Based Hierarchical Decomposition |
| segmentation | of Soft Shadows Based on a Daylight- and Penumbra Model |
| segmentation | of Soil Section Images Using Connected Operators |
| segmentation | of Solid Objects Using Global and Local Edge Coincidence |
| segmentation | of sows in farrowing pens |
| segmentation | of sparse noisy point clouds using active contour models |
| segmentation | of spatially variant image textures |
| segmentation | of sputum color image for lung cancer diagnosis |
| segmentation | of sputum color image for lung cancer diagnosis based on neural networks |
| segmentation | of Static and Dynamic Scenes |
| segmentation | of stick text based on sub connected area analysis |
| segmentation | of Stochastic Images using Level Set Propagation with Uncertain Speed |
| segmentation | of Stochastic Images With a Stochastic Random Walker Method |
| segmentation | of Substantia Nigra Using Weighted Thresholding Method |
| segmentation | of Sugar Beets Using Image and Graph Processing |
| segmentation | of Surface Curvature Using a Photometric Invariant |
| segmentation | of Surface Curvature with a Photometric Invariant |
| segmentation | of Synthetic Aperture Radar Complex Data |
| segmentation | of T1-MRI of the Human Cortex Using a 3D Grey-level Morphology Approach |
| segmentation | of Temporal Effects on Phasimetric SAR Images |
| segmentation | of ten fetal heart components with coarse-to-fine cascading and dynamic feature powering |
| segmentation | of Terrestrial Laser Scanning Data by Integrating Range and Image Content |
| segmentation | of terrestrial laser scanning data using geometry and image information |
| segmentation | of text and graphics |
| segmentation | of Text and Graphics from Document Images |
| segmentation | of Text From Color Map Images |
| segmentation | of text, picture and lines of a document image |
| segmentation | of text/image documents using texture approaches |
| segmentation | of textured cell images based on frequency analysis |
| segmentation | of Textured Dynamic Scenes |
| segmentation | of Textured Images |
| segmentation | of Textured Images and Gestalt Organization Using Spatial/Spatial-Frequency Representations |
| segmentation | of textured images based on fractals and image filtering |
| segmentation | of Textured Images Using a Multiresolution Gaussian Autoregressive Model |
| segmentation | of Textured Images Using Gibbs Random Fields |
| segmentation | of Textured Satellite and Aerial Images by Bayesian Inference |
| segmentation | of Textured Scenes Using Motion Information |
| segmentation | of the body and lungs from Compton scatter and photopeak window data in SPECT: a Monte-Carlo investigation |
| segmentation | of the Brain in MRI Using Grey Level Morphology and Propagation of Information |
| segmentation | of the Breast Region in Mammograms Using a Rule-Based Fuzzy Reasoning Algorithm |
| segmentation | of the breast region in mammograms using snakes |
| segmentation | of the carotid intima-media region in B-mode ultrasound images |
| segmentation | of the Color Milk Somatic Cells Images, The |
| segmentation | of the Comet Assay Images |
| segmentation | of the Date in Entries of Historical Church Registers |
| segmentation | of the Face and Hands in Sign Language Video Sequences Using Color and Motion Cues |
| segmentation | of the Finger Bones as a Prerequisite for the Determination of Bone-Age |
| segmentation | of the Hippocampus for Detection of Alzheimer's Disease |
| segmentation | of the Human Trachea Using Deformable Statistical Models of Tubular Shapes |
| segmentation | of the Left Venctricle from MR Images via Snake Models Incorporating Shape Similarities |
| segmentation | of the Left Ventricle by SDD double threshold selection and CHT |
| segmentation | of the Left Ventricle for the Cardiac Phases between End-Diastole and End-Systole |
| segmentation | of the Left Ventricle from Cardiac MR Images Based on Degenerated Minimal Surface Diffusion and Shape Priors |
| segmentation | of the Left Ventricle From Cardiac MR Images Using a Subject-Specific Dynamical Model |
| segmentation | of the left ventricle in cardiac cine MRI using a shape-constrained snake model |
| segmentation | of the Left Ventricle in Cardiac MR Images |
| segmentation | of the Left Ventricle in Echocardiography Using Contextual Shape Model |
| segmentation | of the Left Ventricle in Myocardial Perfusion SPECT Using Active Shape Model |
| segmentation | of the left ventricle in short-axis sequences by combining deformation flow and optical flow |
| segmentation | of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods, The |
| segmentation | of the Left Ventricle of the Heart in 3-D+t MRI Data Using an Optimized Nonrigid Temporal Model |
| segmentation | of the lumen and media-adventitial borders in intravascular ultrasound images using a geometric deformable model |
| segmentation | of the Midbrain in Transcranial Sonographies using a Two-Component Deformable Mode |
| segmentation | of the Needle Map of Objects with Curved Surfaces |
| segmentation | of the Optic Disc in 3-D OCT Scans of the Optic Nerve Head |
| segmentation | of the Optic Disc, Macula and Vascular Arch in Fundus Photographs |
| segmentation | of the Outer Vessel Wall of the Common Carotid Artery in CTA |
| segmentation | of the Posterior Ribs in Chest Radiographs Using Iterated Contextual Pixel Classification |
| segmentation | of the Prostate Gland in Images Using Prior Knowledge and Level Set Method |
| segmentation | of the pulmonary nodule and the attached vessels in the CT scan of the chest using morphological features and topological skeleton of the nodule |
| segmentation | of the Rectus Abdominis Muscle Anterior Fascia for the Analysis of Deep Inferior Epigastric Perforators |
| segmentation | of the Retinal Reflex in Bruckner Test Images Using U-Net Convolutional Network |
| segmentation | of the right ventricle in MRI images using a dual active shape model |
| segmentation | of the Skull Using Deformable Model and Taking Partial Volume Effect into Account |
| segmentation | of the Supraorbital Vessels in Thermal Imagery, The |
| segmentation | of the True Lumen of Aorta Dissection via Morphology-Constrained Stepwise Deep Mesh Regression |
| segmentation | of the Yellow Pages |
| segmentation | of Thin Structures in Volumetric Medical Images |
| segmentation | of Thinned Binary Scenes with Good Connectivity Algorithms |
| segmentation | of Three Dimensional Cell Culture Models from a Single Focal Plane |
| segmentation | of three-dimensional objects from background in digital holograms |
| segmentation | of Three-Dimensional Surfaces |
| segmentation | of Thrombus in Abdominal Aortic Aneurysms From CTA With Nonparametric Statistical Grey Level Appearance Modeling |
| segmentation | of Time-Lapse Images with Focus on Microscopic Images of Cells |
| segmentation | of tiny objects in very poor-quality angiogenesis images |
| segmentation | of tissue boundary evolution from brain MR image sequences using multi-phase level sets |
| segmentation | of Tissue Regions in Whole Slide Images Using Hand-Crafted Image Features |
| segmentation | of tissues in MR images using Modified Spatial Fuzzy C Means algorithm |
| segmentation | of touching and fused Devanagari characters |
| segmentation | of Touching Cell Nuclei Using a Two-Stage Graph Cut Model |
| segmentation | of touching characters in printed Devnagari and Bangla scripts using fuzzy multifactorial analysis |
| segmentation | Of Touching Characters In Printed Document Recognition |
| segmentation | of Touching Characters Using an MLP |
| segmentation | of touching symbols for OCR of printed mathematical expressions: an approach based on multifactorial analysis |
| segmentation | of Trabecular Bone for In Vivo CT Imaging Using a Novel Approach of Computing Spatial Variation in Bone and Marrow Intensities |
| segmentation | of trabecular bones from Vertebral bodies in volumetric CT spine images |
| segmentation | of trabeculated structures using an anisotropic Markov random field: application to the study of the optic nerve head in glaucoma |
| segmentation | of Tracking Sequences Using Dynamically Updated Adaptive Learning |
| segmentation | of Tree Regions Using Data of a Full-Waveform Laser |
| segmentation | of Triangular Meshes Using Multi-scale Normal Variation |
| segmentation | of Tubular Structures Using Iterative Training with Tailored Samples |
| segmentation | of tumor using PCA based modified fuzzy C means algorithms on MR brain images |
| segmentation | of turbulent computational fluid dynamics simulations with unsupervised ensemble learning |
| segmentation | of Two-Dimensional Boundaries Using the Chain Code |
| segmentation | of two-dimensional curve contours |
| segmentation | of Two-Phase Flow: A Free Representation for Levet Set Method with a Priori Knowledge |
| segmentation | of UAV-Based Images Incorporating 3D Point Cloud Information |
| segmentation | of Ultrasonic Images of the Carotid |
| segmentation | of ultrasonic images using Support Vector Machines |
| segmentation | of ultrasound B-mode images with intensity inhomogeneity correction |
| segmentation | of Ultrasound Breast Images: Optimization of Algorithm Parameters |
| segmentation | of ultrasound image data by two dimensional autoregressive modelling |
| segmentation | of ultrasound images by using a hybrid neural network |
| segmentation | of ultrasound images: Multiresolution 2D and 3D algorithm based on global and local statistics |
| segmentation | of Unideal Iris Images Using Game Theory |
| segmentation | of Uniform Colored Text from Color Graphics Background |
| segmentation | of Urban Impervious Surface Using Cellular Neural Networks |
| segmentation | of Urban Scenes from Aerial Stereo Imagery |
| segmentation | of urban traffic scene based on 3D structure |
| segmentation | of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images |
| segmentation | of Vector Fields by Critical Point Analysis: Application to Brain Deformation |
| segmentation | of Vector Images by N-level-set-fitting |
| segmentation | of Vectorial Image Features Using Shape Gradients and Information Measures |
| segmentation | of Vegetation and Flood from Aerial Images Based on Decision Fusion of Neural Networks |
| segmentation | of vehicle detector data for improved k-nearest neighbours-based traffic flow prediction |
| segmentation | of Vehicles and Roads by a Low-Channel Lidar |
| segmentation | of Very High Resolution Remote Sensing Imagery of Urban Areas Using Particle Swarm Optimization Algorithm |
| segmentation | of Very Low Resolution Screen-Rendered Text |
| segmentation | of vessel-like patterns using mathematical morphology and curvature evaluation |
| segmentation | of Vessels Using Weighted Local Variances and an Active contour Model |
| segmentation | of video background regions based on a DTCNN-clustering approach |
| segmentation | of Video by Clustering and Graph Analysis |
| segmentation | of Video Sequences using Spatial-temporal Conditional Random Fields |
| segmentation | of Visual Motion by Minimizing Convex Non-Quadratic Functionals |
| segmentation | of Volume Images Using a Multiscale Transform |
| segmentation | of Volumetric Histo-Pathological Images by Surface Following Using Constrained Snakes |
| segmentation | of Wheat Grains in Thermal Images Based on Pulse Coupled Neural Networks |
| segmentation | of Whole Cells and Cell Nuclei From 3-D Optical Microscope Images Using Dynamic Programming |
| segmentation | of Wood Fibres in 3D CT Images Using Graph Cuts |
| segmentation | of X-ray and C-scan images of fiber reinforced composite materials |
| segmentation | of X-ray CT images using stochastic templates |
| segmentation | of X-ray Images by 3D-2D Registration Based on Multibody Physics |
| segmentation | on Sentinel-3 Data for Surface Heat Island Detection |
| segmentation | on statistical manifold with watershed transform |
| segmentation | on surfaces with the Closest Point Method |
| segmentation | over Detection by Coupled Global and Local Sparse Representations |
| segmentation | Over Detection via Optimal Sparse Reconstructions |
| segmentation | par modele deformable des regions osseuses de la tete dans les volume IRM |
| segmentation | procedure of LiDAR data by applying mixed parametric and nonparametric models, A |
| segmentation | Processes in the VISIONS System |
| segmentation | processing method for effectively solving the problem of partial covering of angiography images., A |
| segmentation | Propagation in ImageNet |
| segmentation | quality evaluation based on multi-scale convolutional neural networks |
| segmentation | Quality Evaluation for Large Scale Mapping Purposes in Flanders, Belgium |
| segmentation | quality evaluation using region-based precision and recall measures for remote sensing images |
| segmentation | Quality Measure Based on Rich Descriptors and Classification Methods, A |
| segmentation | robust to the vignette effect for machine vision systems |
| segmentation | Scheme for Head-Shoulder in MPEG Compressed Domain, A |
| segmentation | Scheme for Knowledge Discovery in Human Activity Spotting, A |
| segmentation | skin cancer images |
| segmentation | strategies for the alpha-tree data structure |
| segmentation | Strategy of Handwritten Connected Digits (SSHCD) |
| segmentation | system and its evaluation for gray scale coin documents |
| segmentation | system based on clustering method for pediatric DTI images, A |
| segmentation | System Based on Thresholding, A |
| segmentation | system for touching handwritten Japanese characters, A |
| segmentation | technique for cerebral NMR images, A |
| segmentation | Technique for Flexible Pipes in Deep Underwater Environments, A |
| segmentation | Technique Through Waveform Analysis, A |
| segmentation | techniques for early cancer detection in red blood cells with deep learning-based classifier'a comparative approach |
| segmentation | Through Symbolic Surface Descriptions |
| segmentation | Through the Detection of Change Due to Motion |
| segmentation | Through Variable-Order Surface Fitting |
| segmentation | Tools in Mathematical Morphology |
| segmentation | Under Occlusions Using Selective Shape Prior |
| segmentation | using Appearance of Mesostructure Roughness |
| segmentation | Using Contrast and Homogeneity Measures |
| segmentation | Using Convergent Evidence |
| segmentation | Using Deformable Models with Affinity-Based Localization |
| segmentation | using Deformable Spatial Priors with Application to Clothing |
| segmentation | using Eigenvectors: A Unifying View |
| segmentation | using fuzzy cluster-based thresholding method for apple fruit sorting |
| segmentation | using fuzzy divergence |
| segmentation | using Meta-texture Saliency |
| segmentation | using multiscale cues |
| segmentation | Using Saturation Thresholding and Its Application in Content-Based Retrieval of Images |
| segmentation | Using Scene Models |
| segmentation | using spatial-feature clustering from image sequences |
| segmentation | Using SubMarkov Random Walk |
| segmentation | using superpixels: A bipartite graph partitioning approach |
| segmentation | using the edge strength function as a shape prior within a local deformation model |
| segmentation | Versus Object Representation: Are They Separable? |
| segmentation | via Graph-Spectral Methods and Riemannian Geometry |
| segmentation | via NCuts and Lossy Minimum Description Length: A Unified Approach |
| segmentation | with Active Contours |
| segmentation | with Depth but Without Detecting Junctions |
| segmentation | with Incremental Classifiers |
| segmentation | with Invisible Keying Signal |
| segmentation | with Non-linear Regional Constraints via Line-Search Cuts |
| segmentation | with Pairwise Attraction and Repulsion |
| segmentation | with saliency map using colour and depth images |
| segmentation | , Classification and Denoising of a Time Series Field by a Variational Method |
| segmentation | , Evaluation, and Natural Scenes |
| segmentation | , Features, Models from Magnetic Resonance Data, MRI |
| segmentation | , Graph Cuts |
| segmentation | , Grouping and Feature Detection for Face Image Analysis |
| segmentation | , Inference and Classification of Partially Overlapping Nanoparticles |
| segmentation | , Matching and Estimation of Structure and Motion of Textured Piecewise Planar Surfaces |
| segmentation | , Ordering and Multi-object Tracking Using Graphical Models |
| segmentation | , registration, and measurement of shape variation via image object shape |
| segmentation | , Survey and General Topics |
| segmentation | , Tracking and Characterization of Solar Features from EIT Solar Corona Images |
| segmentation | , Tracking and Interpretation using Panoramic Video |
| segmentation | , Tracking, 3D Modelling and Matching of the Inner Ear Based on MRI Data |
| segmentation | , tracking, and analysis of focal adhesion dynamics in cellular microscopy imaging |
| segmentation | - and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification |
| segmentation | -aided classification of hyperspectral data using spatial dependency of spectral bands |
| segmentation | -Assisted Detection of Dirt Impairments in Archived Film Sequences |
| segmentation | -Assisted Dirt Detection for the Restoration of Archived Films |
| segmentation | -Aware Convolutional Networks Using Local Attention Masks |
| segmentation | -Aware Deep Fusion Network for Compressed Sensing MRI, A |
| segmentation | -Aware Deformable Part Models |
| segmentation | -aware object detection model with occlusion handling, A |
| segmentation | -Aware Text-Guided Image Manipulation |
| segmentation | -Based Adaptive Support for Accurate Stereo Correspondence |
| segmentation | -based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma |
| segmentation | -Based Background-Inference and Small-Person Pose Estimation |
| segmentation | -Based CFAR Detection Algorithm Using Truncated Statistics, A |
| segmentation | -Based Coding System Allowing Manipulation of Objects (SESAME), A |
| segmentation | -based compression scheme for 3D animated models |
| segmentation | -based document image denoising |
| segmentation | -Based Filtering of Airborne LiDAR Point Clouds by Progressive Densification of Terrain Segments |
| segmentation | -Based Fine Registration of Very High Resolution Multitemporal Images |
| segmentation | -Based Ground Points Detection from Mobile Laser Scanning Point Cloud |
| segmentation | -Based Iamge Restoration for Multiple Moving Objects with Different Motions |
| segmentation | -based JPEG image artifacts reduction |
| segmentation | -based lossless compression for color images |
| segmentation | -based lossless image coding method for high-resolution medical image compression, A |
| segmentation | -based MAP despeckling of medical ultrasound images in shearlet domain based on normal inverse Gaussian distribution |
| segmentation | -Based MAP Despeckling of SAR Images in the Undecimated Wavelet Domain |
| segmentation | -based method for motion-compensated frame interpolation |
| segmentation | -based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners, A |
| segmentation | -based motion compensation for enhanced video coding |
| segmentation | -Based Motion with Occlusions Using Graph-Cut Optimization |
| segmentation | -based motion-compensated scheme for low-rate video coding, A |
| segmentation | -Based Motion-Compensated Video Coding Using Morphological Filters |
| segmentation | -Based Multitask Learning Approach for Isolating Switch State Recognition in High-Speed Railway Traction Substation, A |
| segmentation | -based nonlinear image smoothing |
| segmentation | -based object tracking using image warping and kalman filtering |
| segmentation | -Based Online Change Detection for Mobile Robots |
| segmentation | -Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT |
| segmentation | -based Perceptual Image Quality Assessment (SPIQA) |
| segmentation | -Based PolSAR Image Classification Using Visual Features: RHLBP and Color Features |
| segmentation | -Based Postprocessing in Real-Time Immersive Video Conferencing |
| segmentation | -based predictive multiresolution image coder, A |
| segmentation | -based recognition of handwritten touching pairs of digits using structural features |
| segmentation | -based recognition system for handwritten Bangla and Devanagari words using conventional classification and transfer learning |
| segmentation | -Based Registration of Organs in Intraoperative Video Sequences |
| segmentation | -Based Regularization Term for Image Deconvolution, A |
| segmentation | -based Spatially Adaptive Motion Blur Removal and Its Application to Surveillance Systems |
| segmentation | -based tracking by support fusion |
| segmentation | -based Urban Traffic Scene Understanding |
| segmentation | -Based Video Coding System Allowing the Manipulation of Objects |
| segmentation | -based view synthesis for three-dimensional video |
| segmentation | -Driven 6D Object Pose Estimation |
| segmentation | -Driven Compound Document Coding Based on H.264/AVC-INTRA |
| segmentation | -Driven Direction-Adaptive Discrete Wavelet Transform |
| segmentation | -Driven Image Fusion Based on Alpha-Stable Modeling of Wavelet Coefficients |
| segmentation | -Driven Image Registration-Application to 4D DCE-MRI Recordings of the Moving Kidneys |
| segmentation | -Driven Offline Handwritten Chinese and Arabic Script Recognition |
| segmentation | -driven perceptual quality metrics |
| segmentation | -Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents |
| segmentation | -free approach for keyword search in historical typewritten documents, A |
| segmentation | -free approach for printed Devanagari script recognition, A |
| segmentation | -free approach for skeletonization of gray-scale images via anisotropic vector diffusion, A |
| segmentation | -free approach to OCR, A |
| segmentation | -free approach to recognise printed Sinhala script using linear symmetry, A |
| segmentation | -Free Approach to Text Recognition Recognition with Application to Arabic Text, A |
| segmentation | -free biometric writer verification method based on continuous dynamic programming, A |
| segmentation | -Free Detection of Comic Panels |
| segmentation | -free Direct Iris Localization Networks |
| segmentation | -Free Dynamic Scene Deblurring |
| segmentation | -Free Estimation of Kidney Volumes in CT with Dual Regression Forests |
| segmentation | -free estimation of length distributions using sieves and RIA morphology |
| segmentation | -free handwritten Chinese text recognition with LSTM-RNN |
| segmentation | -Free Keyword Retrieval in Historical Document Images |
| segmentation | -Free Keyword Spotting for Handwritten Documents Based on Heat Kernel Signature |
| segmentation | -free pattern spotting in historical document images |
| segmentation | -Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network |
| segmentation | -free query-by-string word spotting with Bag-of-Features HMMs |
| segmentation | -Free Recognition Technique to Assist Old Greek Handwritten Manuscript OCR, A |
| segmentation | -free recognizer based on enhanced four plane feature for realistic Chinese handwriting |
| segmentation | -free Skeletonization of Gray-scale Images via PDE's |
| segmentation | -Free Super-Resolved 4D flow MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial Regularization |
| segmentation | -Free Word Spotting in Historical Printed Documents |
| segmentation | -free word spotting using SIFT |
| segmentation | -free word spotting with exemplar SVMs |
| segmentation | -Free, Area-Based Articulated Object Tracking |
| segmentation | -grounded Scene Graph Generation |
| segmentation | -Guided Tracking with Prior Map Decision |
| segmentation | -Reconstruction-Guided Facial Image De-Occlusion |
| segmentation | -Renormalized Deep Feature Modulation for Unpaired Image Harmonization |
| segmentation | -robust representations, matching, and modeling for sign language |
| segmentation | -tracking feedback approach for high-performance video surveillance applications |
| segmentation | /reconstruction of range images based on piecewise-linear approximation |
| segmentation | s of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model |
| segmentation | s-leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation |
| segmentation | s-leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation |
| Segmenter: Transformer for Semantic | segmentation | |
| Segmenting Beyond the Bounding Box for Instance | segmentation | |
| SegMix: Co-occurrence Driven Mixup for Semantic | segmentation | and Adversarial Robustness |
| SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image | segmentation | |
| SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting | segmentation | Robustness |
| SegPrompt: Boosting Open-world | segmentation | via Category-level Prompt Learning |
| SegRCDB: Semantic | segmentation | via Formula-Driven Supervised Learning |
| SegSort: | segmentation | by Discriminative Sorting of Segments |
| Segtad: Precise Temporal Action Detection via Semantic | segmentation | |
| SegTHOR: | segmentation | of Thoracic Organs at Risk in CT images |
| SegTrack: A novel tracking system with improved object | segmentation | |
| SegTransConv: Transformer and CNN Hybrid Method for Real-Time Semantic | segmentation | of Autonomous Vehicles |
| SegViT v2: Exploring Efficient and Continual Semantic | segmentation | with Plain Vision Transformers |
| Selecting Optimal Combination of Data Channels for Semantic | segmentation | in City Information Modelling (CIM) |
| Selecting Salient Frames for Spatiotemporal Video Modeling and | segmentation | |
| Selection and Use of Image Features for | segmentation | of Boundary Images |
| Selection of Local Thresholds for Tomogram | segmentation | by Projection Distance Minimization |
| Selectionist relaxation: genetic algorithms applied to image | segmentation | |
| Selective Intra-Image Similarity for Personalized Fixation-Based Object | segmentation | |
| Selective variational image | segmentation | combined with registration: Models and algorithms |
| Self Attention Based Semantic | segmentation | on a Natural Disaster Dataset |
| self-adaptive mean shift tree- | segmentation | method Using UAV LiDAR data, A |
| self-adaptive phase- | segmentation | and health assessment framework for point machines, A |
| self-adaptive | segmentation | method for a point cloud, A |
| Self-Adaptive Skin | segmentation | in Color Images |
| Self-affine snake for medical image | segmentation | |
| Self-Attention in Reconstruction Bias U-Net for Semantic | segmentation | of Building Rooftops in Optical Remote Sensing Images |
| Self-Attentive Local Aggregation Learning With Prototype Guided Regularization for Point Cloud Semantic | segmentation | of High-Speed Railways |
| Self-Balanced R-CNN for instance | segmentation | |
| Self-Calibrated Cross Attention Network for Few-Shot | segmentation | |
| Self-Compensating Learning for Few-Shot | segmentation | |
| Self-Distillation for Robust LiDAR Semantic | segmentation | in Autonomous Driving |
| self-distillation object | segmentation | method via frequency domain knowledge augmentation, A |
| Self-Ensembling GAN for Cross-Domain Semantic | segmentation | |
| Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic | segmentation | |
| Self-Guided Adversarial Learning for Domain Adaptive Semantic | segmentation | |
| Self-Guided and Cross-Guided Learning for Few-Shot | segmentation | |
| Self-Guided | segmentation | and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil |
| Self-Inducing Relational Distance and its Application to Image | segmentation | |
| Self-Knowledge Distillation-Based Staged Extraction and Multiview Collection Network for RGB-D Mirror | segmentation | |
| Self-learning Ontology for Instance | segmentation | of 3d Indoor Point Cloud |
| Self-learning | segmentation | and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray Scale Invariants |
| Self-learning Tumor | segmentation | Method on DCE-MRI Images, A |
| Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image | segmentation | |
| Self-Mutating Network for Domain Adaptive | segmentation | of Aerial Images |
| Self-Occlusions and Disocclusions in Causal Video Object | segmentation | |
| Self-Optimizing Control System for Adaptive Image | segmentation | |
| Self-organised parameter estimation and | segmentation | of MRF model-based texture images |
| Self-Organization in Vision: Stochastic Clustering for Image | segmentation | , Perceptual Grouping, and Image Database Organization |
| self-organizing lattice Boltzmann active contour (SOLBAC) approach for fast and robust object region | segmentation | , A |
| Self-prediction for Joint Instance and Semantic | segmentation | of Point Clouds |
| Self-regularized prototypical network for few-shot semantic | segmentation | |
| Self-Regulation for Semantic | segmentation | |
| Self-Reinforcing For Few-Shot Medical Image | segmentation | |
| Self-Repelling Snakes for Topology-Preserving | segmentation | Models |
| Self-Sampling Meta SAM: Enhancing Few-shot Medical Image | segmentation | with Meta-Learning |
| Self- | segmentation | of Sequences: Automatic Formation of Hierarchies of Sequential Behaviors |
| Self-similarity Student for Partial Label Histopathology Image | segmentation | |
| Self-supervised Augmentation Consistency for Adapting Semantic | segmentation | |
| Self-supervised Augmented Patches | segmentation | for Anomaly Detection |
| Self-Supervised Deep TripleNet for Video Object | segmentation | |
| Self-Supervised Difference Detection for Weakly-Supervised Semantic | segmentation | |
| Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon | segmentation | and Centerline Detection |
| Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic | segmentation | |
| Self-Supervised Feature Extraction for 3D Axon | segmentation | |
| Self-Supervised Generative Style Transfer for One-Shot Medical Image | segmentation | |
| Self-Supervised Human Detection and | segmentation | via Background Inpainting |
| Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic | segmentation | |
| Self-supervised Interactive Object | segmentation | Through a Singulation-and-Grasping Approach |
| Self-Supervised Leaf | segmentation | under Complex Lighting Conditions |
| Self-Supervised Learning for Few-Shot Medical Image | segmentation | |
| Self-Supervised Learning for Object Detection and | segmentation | |
| Self-Supervised Learning of Object Parts for Semantic | segmentation | |
| Self-Supervised Learning of Optical Flow, Depth, Camera Pose and Rigidity | segmentation | with Occlusion Handling |
| Self-supervised Learning with Local Contrastive Loss for Detection and Semantic | segmentation | |
| Self-Supervised Learning with Masked Autoencoders for Teeth | segmentation | from Intra-oral 3D Scans |
| Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance | segmentation | in Dental Panoramic Radiographs |
| Self-Supervised Model Adaptation for Multimodal Semantic | segmentation | |
| Self-supervised Orientation-guided Deep Network for | segmentation | of Carbon Nanotubes in SEM Imagery |
| Self-supervised part | segmentation | via motion imitation |
| Self-Supervised Pre-Training Boosts Semantic Scene | segmentation | on LiDAR data |
| Self-Supervised Pre-Training for Semantic | segmentation | in an Indoor Scene |
| Self-supervised Pretraining for 2d Medical Image | segmentation | |
| Self-supervised | segmentation | by Grouping Optical-Flow |
| Self-supervised Semantic | segmentation | : Consistency over Transformation |
| Self-supervised Sparse to Dense Motion | segmentation | |
| Self-supervised texture | segmentation | using complementary types of features |
| Self-Supervised Vessel | segmentation | via Adversarial Learning |
| Self-supervised Video Object | segmentation | by Motion Grouping |
| Self-supervised Vision Transformers for Land-cover | segmentation | and Classification |
| Self-supervision with Superpixels: Training Few-shot Medical Image | segmentation | Without Annotation |
| Self-support Few-Shot Semantic | segmentation | |
| Self-training statistic snake for image | segmentation | and tracking |
| Self-Validated Labeling of Markov Random Fields for Image | segmentation | |
| Selforganized Clustering of Mixture Models for Combined Color and Texture | segmentation | |
| SEM Algorithm and Unsupervised | segmentation | of Satellite Images |
| SemAffiNet: Semantic-Affine Transformation for Point Cloud | segmentation | |
| Semantic 3d Point Cloud | segmentation | Approach Based On Optimal View Selection for 2d Image Feature Extraction, A |
| Semantic Amodal | segmentation | |
| Semantic Analysis for Automatic Event Recognition and | segmentation | of Wedding Ceremony Videos |
| Semantic and Instance-Aware Pixel-Adaptive Convolution for Panoptic | segmentation | |
| Semantic Attention and Structured Model for Weakly Supervised Instance | segmentation | in Optical and SAR Remote Sensing Imagery |
| Semantic Aware Attention Based Deep Object Co- | segmentation | |
| Semantic Binary | segmentation | Using Convolutional Networks without Decoders |
| Semantic Circle Detection and Circle-Inner | segmentation | for Tree-Wise Citrus Summer Shoot Management in Aerial Images |
| Semantic Co- | segmentation | in Videos |
| Semantic Conditional Random Field for Object Based SAR Image | segmentation | |
| Semantic Context Encoding for Accurate 3D Point Cloud | segmentation | |
| Semantic Context Forests for Learning-Based Knee Cartilage | segmentation | in 3D MR Images |
| Semantic context-aware attention UNET for lung cancer | segmentation | and classification |
| semantic contour based | segmentation | of lungs from chest x-rays for the classification of tuberculosis using Naive Bayes classifier, A |
| Semantic Correlation Promoted Shape-Variant Context for | segmentation | |
| Semantic Decomposition Network With Contrastive and Structural Constraints for Dental Plaque | segmentation | |
| Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth | segmentation | From CBCT Images |
| Semantic Guided Deep Unsupervised Image | segmentation | |
| Semantic Hierarchy-Aware | segmentation | |
| Semantic Image | segmentation | and Object Labeling |
| Semantic Image | segmentation | Based Cable Vibration Frequency Visual Monitoring Using Modified Convolutional Neural Network with Pixel-wise Weighting Strategy |
| Semantic image | segmentation | based on spatial relationships and inexact graph matching |
| Semantic Image | segmentation | by Dynamic Discriminative Prototypes |
| Semantic Image | segmentation | by Scale-Adaptive Networks |
| Semantic image | segmentation | using an improved hierarchical graphical model |
| Semantic image | segmentation | using morphological tools |
| Semantic image | segmentation | using region bank |
| Semantic image | segmentation | using the ICM algorithm |
| Semantic Image | segmentation | Using Visible and Near-Infrared Channels |
| Semantic Image | segmentation | via Deep Parsing Network |
| Semantic Image | segmentation | with Contextual Hierarchical Models |
| Semantic Image | segmentation | with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform |
| Semantic Image | segmentation | : Two Decades of Research |
| Semantic Instance Labeling Leveraging Hierarchical | segmentation | |
| Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance | segmentation | |
| Semantic Instance | segmentation | for Autonomous Driving |
| Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine | segmentation | Network |
| Semantic labeling of track events using time series | segmentation | and shape analysis |
| Semantic Loopback Detection Method Based on Instance | segmentation | and Visual SLAM in Autonomous Driving |
| Semantic Motif | segmentation | of Archaeological Fresco Fragments |
| Semantic Motion Signature for | segmentation | of High Speed Large Displacement Objects |
| Semantic Multi-body Motion | segmentation | |
| Semantic Mutex Watershed for Efficient Bottom-up Semantic Instance | segmentation | , The |
| Semantic Nighttime Image | segmentation | Via Illumination and Position Aware Domain Adaptation |
| Semantic object | segmentation | by a spatio-temporal MRF model |
| Semantic Object | segmentation | in Cultural Sites using Real and Synthetic Data |
| Semantic Object | segmentation | in Tagged Videos via Detection |
| Semantic object | segmentation | via detection in weakly labeled video |
| Semantic Organ | segmentation | in 3D Whole-Body MR Images |
| Semantic part | segmentation | using compositional model combining shape and appearance |
| Semantic Projection Network for Zero- and Few-Label Semantic | segmentation | |
| Semantic rich ICM algorithm for VHR satellite images | segmentation | |
| Semantic Road | segmentation | via Multi-scale Ensembles of Learned Features |
| Semantic scene | segmentation | in unstructured environment with modified DeepLabV3+ |
| Semantic Scene | segmentation | using Random Multinomial Logit |
| Semantic | segmentation | (U-Net) of Archaeological Features in Airborne Laser Scanning: Example of the Bialowieza Forest |
| Semantic | segmentation | and 3D Reconstruction of Concrete Cracks |
| Semantic | segmentation | and Analysis on Sensitive Parameters of Forest Fire Smoke Using Smoke-Unet and Landsat-8 Imagery |
| Semantic | segmentation | and Change Detection By Multi-Task U-Net |
| Semantic | segmentation | and Edge Detection: Approach to Road Detection in Very High Resolution Satellite Images |
| Semantic | segmentation | and Object Recognition Using Scene-Context Scale |
| Semantic | segmentation | and Roof Reconstruction of Urban Buildings Based on LiDAR Point Clouds |
| Semantic | segmentation | as image representation for scene recognition |
| Semantic | segmentation | Based Building Extraction Method Using Multi-source GIS Map Datasets and Satellite Imagery |
| Semantic | segmentation | based on iterative contraction and merging |
| Semantic | segmentation | Based Traffic Light Detection at Day and at Night |
| Semantic | segmentation | by Early Region Proxy |
| Semantic | segmentation | by Integrating Classifiers for Different Difficulty Levels |
| Semantic | segmentation | Deep Learning for Extracting Surface Mine Extents from Historic Topographic Maps |
| Semantic | segmentation | for Building FaÇade 3d Point Cloud From 2d Orthophoto Images Using Transfer Learning |
| Semantic | segmentation | for Buildings of Large Intra-Class Variation in Remote Sensing Images with O-GAN |
| Semantic | segmentation | for Digital Archives of Borobudur Reliefs Based on Soft-Edge Enhanced Deep Learning |
| Semantic | segmentation | for Free Space and Lane Based on Grid-Based Interest Point Detection |
| Semantic | segmentation | for Pedestrian Detection from Motion in Temporal Domain |
| Semantic | segmentation | for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion |
| Semantic | segmentation | for Real-World Data by Jointly Exploiting Supervised andxs Transferrable Knowledge |
| Semantic | segmentation | for SAR Image Based on Texture Complexity Analysis and Key Superpixels |
| Semantic | segmentation | for Thermal Images: A Comparative Survey |
| Semantic | segmentation | Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios, A |
| Semantic | segmentation | from remote sensor data and the exploitation of latent learning for classification of auxiliary tasks |
| Semantic | segmentation | Guided Coarse-to-Fine Detection of Individual Trees from MLS Point Clouds Based on Treetop Points Extraction and Radius Expansion |
| Semantic | segmentation | Guided Pixel Fusion for Image Retargeting |
| Semantic | segmentation | Guided Real-World Super-Resolution |
| Semantic | segmentation | in Aerial Imagery Using Multi-level Contrastive Learning with Local Consistency |
| Semantic | segmentation | in Depth Data: A Comparative Evaluation of Image and Point Cloud Based Methods |
| Semantic | segmentation | in Thermal Videos: A New Benchmark and Multi-Granularity Contrastive Learning-Based Framework |
| Semantic | segmentation | Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral-Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China |
| Semantic | segmentation | of 3D indoor LiDAR point clouds through feature pyramid architecture search |
| Semantic | segmentation | of 3D LiDAR Data in Dynamic Scene Using Semi-Supervised Learning |
| Semantic | segmentation | of 3D Point Cloud Based on Spatial Eight-Quadrant Kernel Convolution |
| Semantic | segmentation | of 3D Point Clouds Based on High Precision Range Search Network |
| Semantic | segmentation | of 3D textured meshes for urban scene analysis |
| Semantic | segmentation | of Aerial Imagery via Split-Attention Networks with Disentangled Nonlocal and Edge Supervision |
| Semantic | segmentation | of Airborne Images and Corresponding Digital Surface Models - Additional Input Data Or Additional Task? |
| Semantic | segmentation | of Airborne LiDAR Data in Maya Archaeology |
| Semantic | segmentation | of Benthic Communities from Ortho-mosaic Maps |
| Semantic | segmentation | of Breast Ultrasound Image with Pyramid Fuzzy Uncertainty Reduction and Direction Connectedness Feature |
| Semantic | segmentation | of Building in Airborne Images |
| Semantic | segmentation | of Burned Areas In Satellite Images Using A U-net-based Convolutional Neural Network |
| Semantic | segmentation | of China's Coastal Wetlands Based on Sentinel-2 and Segformer |
| Semantic | segmentation | of Color Eye Images for Improving Iris Segmentation |
| Semantic | segmentation | of Color Eye Images for Improving Iris Segmentation |
| Semantic | segmentation | of Crops and Weeds with Probabilistic Modeling and Uncertainty Quantification |
| Semantic | segmentation | of Degraded Images Using Layer-Wise Feature Adjustor |
| Semantic | segmentation | of Diabetic Foot Ulcer Images: Dealing with Small Dataset in Dl Approaches |
| Semantic | segmentation | of Earth Observation Data Using Multimodal and Multi-scale Deep Networks |
| Semantic | segmentation | of Fashion Images Using Feature Pyramid Networks |
| Semantic | segmentation | of Fisheye Images |
| Semantic | segmentation | of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery |
| Semantic | segmentation | of High-Resolution Airborne Images with Dual-Stream DeepLabV3+ |
| Semantic | segmentation | of High-Resolution Remote Sensing Images Based on Sparse Self-Attention and Feature Alignment |
| Semantic | segmentation | of images exploiting DCT based features and random forest |
| Semantic | segmentation | of Indoor 3d Point Cloud With Slenet |
| Semantic | segmentation | of Large-Scale Outdoor Point Clouds by Encoder-Decoder Shared MLPs with Multiple Losses |
| Semantic | segmentation | of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture |
| Semantic | segmentation | of Low Frame-Rate Image Sequence Using Statistical Properties of Optical Flow for Remote Exploration |
| Semantic | segmentation | of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach |
| Semantic | segmentation | of Metoceanic Processes Using SAR Observations and Deep Learning |
| Semantic | segmentation | of Microscopic Images Using a Morphological Hierarchy |
| Semantic | segmentation | of Mobile Laser Scanning Point Clouds with Long Short-term Memory Networks: Preliminary Results |
| Semantic | segmentation | of mobile mapping point clouds via multi-view label transfer |
| Semantic | segmentation | of modular furniture |
| Semantic | segmentation | of Multispectral Images via Linear Compression of Bands: An Experiment Using RIT-18 |
| Semantic | segmentation | of Outdoor Areas Using 3D Moment Invariants and Contextual Cues |
| Semantic | segmentation | of Panoramic Images for Real-Time Parking Slot Detection |
| Semantic | segmentation | of Polarimetric SAR Image Based on Dual-Channel Multi-Size Fully Connected Convolutional Conditional Random Field |
| Semantic | segmentation | of Remote Sensing Imagery Using an Object-Based Markov Random Field Model With Auxiliary Label Fields |
| Semantic | segmentation | of Remote Sensing Imagery Using Object-based Markov Random Field Based on Hierarchical Segmentation Tree With Auxiliary Labels |
| Semantic | segmentation | of Remote Sensing Imagery Using Object-based Markov Random Field Based on Hierarchical Segmentation Tree With Auxiliary Labels |
| Semantic | segmentation | of remote sensing ship image via a convolutional neural networks model |
| Semantic | segmentation | of Remote-Sensing Imagery Using Heterogeneous Big Data: International Society for Photogrammetry and Remote Sensing Potsdam and Cityscape Datasets |
| Semantic | segmentation | of RGB-D Images Using 3D and Local Neighbouring Features |
| Semantic | segmentation | of RGBD images based on deep depth regression |
| Semantic | segmentation | of RGBD Images with Mutex Constraints |
| Semantic | segmentation | of RGBD Videos with Recurrent Fully Convolutional Neural Networks |
| Semantic | segmentation | of road furniture in mobile laser scanning data |
| Semantic | segmentation | of Satellite Images: A Deep Learning Approach Integrated with Geospatial Hash Codes |
| Semantic | segmentation | of Sentinel-2 Imagery for Mapping Irrigation Center Pivots |
| Semantic | segmentation | of Sheep Organs by Convolutional Neural Networks |
| Semantic | segmentation | of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders |
| Semantic | segmentation | of slums in satellite images using transfer learning on fully convolutional neural networks |
| Semantic | segmentation | of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks |
| Semantic | segmentation | of Sparsely Annotated 3D Point Clouds by Pseudo-Labelling |
| Semantic | segmentation | of street scenes by superpixel co-occurrence and 3D geometry |
| Semantic | segmentation | of Terrestrial Lidar Data Using Co-registered RGB Data |
| Semantic | segmentation | of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning |
| Semantic | segmentation | of ultra-high resolution remote sensing images based on fully convolutional neural networks |
| Semantic | segmentation | of Urban Airborne LiDAR Point Clouds Based on Fusion Attention Mechanism and Multi-Scale Features |
| Semantic | segmentation | of urban building surface materials using multi-scale contextual attention network |
| Semantic | segmentation | of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network |
| Semantic | segmentation | of Urban Buildings Using a High-Resolution Network (HRNet) with Channel and Spatial Attention Gates |
| Semantic | segmentation | of urban scenes by learning local class interactions |
| Semantic | segmentation | of Urban Scenes Using Dense Depth Maps |
| Semantic | segmentation | of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning |
| Semantic | segmentation | of Water Bodies in Multi-spectral Satellite Images for Situational Awareness in Emergency Response |
| Semantic | segmentation | on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning |
| Semantic | segmentation | on Swiss3DCities: A benchmark study on aerial photogrammetric 3D pointcloud dataset |
| Semantic | segmentation | Post-processing with Colorized Pairwise Potentials and Deep Edges |
| Semantic | segmentation | priors for object discovery |
| Semantic | segmentation | Refinement by Monte Carlo Region Growing of High Confidence Detections |
| Semantic | segmentation | Refinement Using Entropy and Boundary-guided Monte Carlo Sampling and Directed Regional Search |
| Semantic | segmentation | using cross-stage feature reweighting and efficient self-attention |
| Semantic | segmentation | Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images |
| Semantic | segmentation | using Foundation Models for Cultural Heritage: an Experimental Study on Notre-Dame de Paris |
| Semantic | segmentation | using regions and parts |
| Semantic | segmentation | using stride spatial pyramid pooling and dual attention decoder |
| Semantic | segmentation | via Multi-task, Multi-domain Learning |
| Semantic | segmentation | via sparse coding over hierarchical regions |
| Semantic | segmentation | via Structured Patch Prediction, Context CRF and Guidance CRF |
| Semantic | segmentation | with Active Semi-Supervised Learning |
| Semantic | segmentation | with Boundary Neural Fields |
| Semantic | segmentation | With Context Encoding and Multi-Path Decoding |
| Semantic | segmentation | with cross convolution and multi-layer feature refinement |
| Semantic | segmentation | with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization |
| Semantic | segmentation | with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach |
| Semantic | segmentation | With Multi Scale Spatial Attention For Self Driving Cars |
| Semantic | segmentation | with multi-path refinement and pyramid pooling dilated-resnet |
| Semantic | segmentation | with Object Clique Potential |
| Semantic | segmentation | with Peripheral Vision |
| Semantic | segmentation | with Second-Order Pooling |
| Semantic | segmentation | without Annotating Segments |
| Semantic | segmentation | , Label and Segment Together |
| Semantic | segmentation | -Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data |
| Semantic | segmentation | -based parking space detection with standalone around view monitoring system |
| Semantic | segmentation | : A Zoology of Deep Architectures |
| Semantic texton forests for image categorization and | segmentation | |
| Semantic video object | segmentation | and tracking |
| Semantic Video Object | segmentation | and Tracking Using Mathematical Morphology and Perspective Motion Model |
| Semantic video scene | segmentation | and transfer |
| Semantic Video | segmentation | by Gated Recurrent Flow Propagation |
| Semantic video | segmentation | with dynamic keyframe selection and distortion-aware feature rectification |
| Semantic-Aware Domain Generalized | segmentation | |
| Semantic-Based Brain MRI Image | segmentation | Using Convolutional Neural Network |
| Semantic-Based | segmentation | and Annotation of 3D Models |
| Semantic-Embedded Knowledge Acquisition and Reasoning for Image | segmentation | |
| Semantic-only Visual Odometry based on dense class-level | segmentation | |
| Semantic-Oriented Labeled-to-Unlabeled Distribution Translation for Image | segmentation | |
| Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance | segmentation | |
| Semantic-Transferable Weakly-Supervised Endoscopic Lesions | segmentation | |
| Semantically Coherent Co- | segmentation | and Reconstruction of Dynamic Scenes |
| Semantically Homogeneous | segmentation | with Nonparametric Region Competition |
| Semantically Meaningful Class Prototype Learning for One-Shot Image | segmentation | |
| Semantically Stealthy Adversarial Attacks against | segmentation | Models |
| Semantics recalibration and detail enhancement network for real-time semantic | segmentation | |
| Semantics Through Time: Semi-supervised | segmentation | of Aerial Videos with Iterative Label Propagation |
| Semantics-guided multi-level RGB-D feature fusion for indoor semantic | segmentation | |
| Semantics-guided Warping for Semi-supervised Video Object Instance | segmentation | , A |
| SeMask: Semantically Masked Transformers for Semantic | segmentation | |
| Semasuperpixel: A Multi-Channel Probability-Driven Superpixel | segmentation | Method |
| SEMEDA: Enhancing | segmentation | precision with semantic edge aware loss |
| Semi self-training beard/moustache detection and | segmentation | simultaneously |
| Semi Supervised Semantic | segmentation | Using Generative Adversarial Network |
| Semi-) Automatic | segmentation | in Historic Collections of Heraldic Images |
| Semi-/Weakly-Supervised Semantic | segmentation | Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images: Taking the Fujian Coastal Area (Mainly Sanduo) as an Example |
| Semi-automated forest stand delineation using wavelet-based | segmentation | of very high resolution optical imagery in Flanders, Belgium |
| Semi-automated Lesions | segmentation | of Brain Metastases in MRI Images |
| Semi-automated Processing of Real-Time CMR Scans for Left Ventricle | segmentation | |
| Semi-Automated | segmentation | of Geometric Shapes from Point Clouds |
| Semi-Automated Semantic | segmentation | of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches |
| Semi-Automatic 3-D | segmentation | of Anatomical Structures of Brain MRI Volumes using Graph Cuts |
| Semi-automatic 3-D | segmentation | of Computed Tomographic imagery by iterative gradient-driven volume growing |
| Semi-automatic foreground/background | segmentation | of motion picture images and image sequences |
| semi-automatic groundtruthing tool for mobile-captured document | segmentation | , A |
| Semi-automatic Liver Tumor | segmentation | in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels |
| Semi-Automatic Lymph Node | segmentation | in LN-MRI |
| Semi-automatic Method for Vascular Image | segmentation | , A |
| Semi-automatic motion based | segmentation | using long term motion trajectories |
| Semi-automatic Motion | segmentation | with Motion Layer Mosaics |
| Semi-automatic muscle | segmentation | in MR images using deep registration-based label propagation |
| Semi-automatic object | segmentation | using colour invariance and Graph cuts |
| Semi-automatic object-based video | segmentation | with labeling of color segments |
| Semi-automatic | segmentation | and Modelling from Point Clouds towards Historical Building Information Modelling |
| Semi-Automatic | segmentation | of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso |
| Semi-Automatic | segmentation | of Tissue Cells from Confocal Microscope Images |
| Semi-automatic | segmentation | of Vessels By Mathematical Morphology: Application in MRI |
| Semi-automatic Tibetan Component Annotation from Online Handwritten Tibetan Character Database by Optimizing | segmentation | Hypotheses |
| Semi-Automatic Video Object | segmentation | in the Presence of Occlusion |
| Semi-automatic video object | segmentation | using seeded region merging and bidirectional projection |
| Semi-automatic Video | segmentation | for Object Tracking |
| Semi-convolutional Operators for Instance | segmentation | |
| Semi-Markov Model for Mitosis | segmentation | in Time-Lapse Phase Contrast Microscopy Image Sequences of Stem Cell Populations, A |
| Semi-Nonnegative Matrix Factorization for Motion | segmentation | with Missing Data |
| Semi-Overcomplete Convolutional Auto-Encoder Embedding as Shape Priors for Deep Vessel | segmentation | |
| Semi-Supervised 3D Abdominal Multi-Organ | segmentation | Via Deep Multi-Planar Co-Training |
| Semi-Supervised 3D Medical Image | segmentation | Via Boundary-Aware Consistent Hidden Representation Learning |
| Semi-Supervised 3D Shape | segmentation | via Self Refining |
| Semi-Supervised Adversarial Semantic | segmentation | Network Using Transformer and Multiscale Convolution for High-Resolution Remote Sensing Imagery |
| Semi-supervised Attentive Mutual-info Generative Adversarial Network for Brain Tumor | segmentation | |
| Semi-Supervised Automatic Layer and Fluid Region | segmentation | of Retinal Optical Coherence Tomography Images Using Adversarial Learning |
| Semi-supervised Breast Lesion | segmentation | Using Local Cross Triplet Loss for Ultrafast Dynamic Contrast-enhanced Mri |
| Semi-supervised Color Image | segmentation | Method, A |
| Semi-Supervised Contrastive Learning for Few-Shot | segmentation | of Remote Sensing Images |
| Semi-Supervised Contrastive Learning of Global and Local Representation for 3d Medical Image | segmentation | |
| Semi-Supervised CT Lesion | segmentation | Using Uncertainty-Based Data Pairing and SwapMix |
| Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic | segmentation | |
| Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object | segmentation | |
| Semi-Supervised Dual Stream | segmentation | Network for Fundus Lesion Segmentation |
| Semi-Supervised Dual Stream | segmentation | Network for Fundus Lesion Segmentation |
| Semi-supervised Dual-Domain Adaptation for Semantic | segmentation | |
| Semi-Supervised Few-Shot | segmentation | with Noisy Support Images |
| Semi-supervised Gaussian Mixture Model for Image | segmentation | , A |
| Semi-supervised Large Margin Algorithm for White Matter Hyperintensity | segmentation | , A |
| Semi-supervised learning and graph cuts for consensus based medical image | segmentation | |
| Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and | segmentation | Cues, A |
| Semi-supervised learning of anatomical manifolds for atlas-based | segmentation | of medical images |
| Semi-supervised Learning of Edge Filters for Volumetric Image | segmentation | |
| Semi-supervised maximum a posteriori probability | segmentation | of brain tissues from dual-echo magnetic resonance scans using incomplete training data |
| Semi-Supervised Medical Image | segmentation | Using Adversarial Consistency Learning and Dynamic Convolution Network |
| Semi-Supervised Medical Image | segmentation | Using Cross-Style Consistency With Shape-Aware and Local Context Constraints |
| Semi-supervised medical image | segmentation | via hard positives oriented contrastive learning |
| Semi-Supervised Medical Image Semantic | segmentation | with Multi-scale Graph Cut Loss |
| Semi-Supervised Neuron | segmentation | via Reinforced Consistency Learning |
| Semi-Supervised Normalized Cuts for Image | segmentation | |
| Semi-supervised object based digital measurable image sequence | segmentation | for MMS |
| Semi-supervised pathological image | segmentation | via cross distillation of multiple attentions and Seg-CAM consistency |
| Semi-Supervised Person Detection in Aerial Images with Instance | segmentation | and Maximum Mean Discrepancy Distance |
| Semi-Supervised Pixel-Level Scene Text | segmentation | by Mutually Guided Network |
| Semi-supervised Probabilistic Relaxation for Image | segmentation | |
| Semi-Supervised Remote Sensing Image Semantic | segmentation | via Consistency Regularization and Average Update of Pseudo-Label |
| Semi-Supervised Representation Learning for | segmentation | on Medical Volumes and Sequences |
| Semi-Supervised SAR ATR Framework with Transductive Auxiliary | segmentation | |
| Semi-supervised | segmentation | Based on Error-correcting Supervision |
| Semi-supervised | segmentation | Based on Non-local Continuous Min-Cut |
| Semi-Supervised | segmentation | for Coastal Monitoring Seagrass Using RPA Imagery |
| Semi-supervised | segmentation | Fusion of Multi-spectral and Aerial Images |
| Semi-supervised | segmentation | of 3D Surfaces Using a Weighted Graph Representation |
| Semi-Supervised | segmentation | of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention |
| Semi-supervised | segmentation | of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks |
| Semi-supervised | segmentation | Using Multiple Segmentation Hypotheses from a Single Atlas |
| Semi-supervised | segmentation | Using Multiple Segmentation Hypotheses from a Single Atlas |
| Semi-Supervised Semantic Image | segmentation | With Self-Correcting Networks |
| Semi-Supervised Semantic | segmentation | |
| Semi-Supervised Semantic | segmentation | of Class-Imbalanced Images: A Hierarchical Self-Attention Generative Adversarial Network |
| Semi-Supervised Semantic | segmentation | of Vessel Images using Leaking Perturbations |
| Semi-Supervised Semantic | segmentation | under Label Noise via Diverse Learning Groups |
| Semi-Supervised Semantic | segmentation | Using Unreliable Pseudo-Labels |
| Semi-supervised Semantic | segmentation | via Strong-weak Dual-branch Network |
| Semi-Supervised Semantic | segmentation | with Cross Pseudo Supervision |
| Semi-Supervised Semantic | segmentation | With Cross-Consistency Training |
| Semi-supervised Semantic | segmentation | with Directional Context-aware Consistency |
| Semi-supervised Semantic | segmentation | with Error Localization Network |
| Semi-Supervised Semantic | segmentation | With High- and Low-Level Consistency |
| Semi-Supervised Semantic | segmentation | with Pixel-Level Contrastive Learning from a Class-wise Memory Bank |
| Semi-supervised Semantic | segmentation | with Uncertainty-guided Self Cross Supervision |
| Semi-Supervised Skin Lesion | segmentation | via Iterative Mask Optimization |
| Semi-supervised statistical region refinement for color image | segmentation | |
| Semi-supervised subspace | segmentation | |
| semi-supervised support vector machine for texture | segmentation | , A |
| Semi-Supervised Unpaired Medical Image | segmentation | Through Task-Affinity Consistency |
| Semi-supervised Video Object | segmentation | Using Multiple Random Walkers |
| Semi-Supervised Video Object | segmentation | via Learning Object-Aware Global-Local Correspondence |
| Semi-Supervised Video Object | segmentation | with Super-Trajectories |
| Semi-Supervised Video | segmentation | Using Tree Structured Graphical Models |
| Semi-Supervised Video Semantic | segmentation | with Inter-Frame Feature Reconstruction |
| Semiautomated | segmentation | of Myocardial Contours for Fast Strain Analysis in Cine Displacement-Encoded MRI |
| Semiautomatic 3-D Prostate | segmentation | from TRUS Images Using Spherical Harmonics |
| Semiautomatic | segmentation | and Tracking of Semantic Video Objects |
| Semiautomatic | segmentation | with Compact Shape Prior |
| Semiautomatic video object | segmentation | using vsnakes |
| SemiCurv: Semi-Supervised Curvilinear Structure | segmentation | |
| SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic | segmentation | |
| Semidefinite Clustering for Image | segmentation | with A-priori Knowledge |
| Seminar Learning for Click-Level Weakly Supervised Semantic | segmentation | |
| Semisupervised Hyperspectral Image | segmentation | Using Multinomial Logistic Regression With Active Learning |
| Semisupervised | segmentation | Model for Collections of Images, A |
| SEMv2: Table separation line detection based on instance | segmentation | |
| Sensor Adaptation for Improved Semantic | segmentation | of Overhead Imagery |
| Sensor Agnostic Semantic | segmentation | of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning |
| Sensory | segmentation | with Coupled Neural Oscillators |
| Sentiment-based sub-event | segmentation | and key photo selection |
| Separable Structure Modeling for Semi-Supervised Video Object | segmentation | |
| Separate first, then segment: An integrity | segmentation | network for salient object detection |
| SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic | segmentation | |
| SeqFormer: Sequential Transformer for Video Instance | segmentation | |
| Sequential Bayesian | segmentation | of remote sensing images |
| Sequential Clique Optimization for Video Object | segmentation | |
| Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground | segmentation | |
| Sequential image | segmentation | based on minimum spanning tree representation |
| Sequential model-based | segmentation | and recognition of image structures driven by visual features and spatial relations |
| Sequential Monte Carlo video text | segmentation | |
| Sequential Piecewise-Linear | segmentation | of Binary Contours |
| Sequential Probabilistic Grass Field | segmentation | of Soccer Video Images |
| Sequential Semantic | segmentation | of Road Profiles for Path and Speed Planning |
| Sequential Subspace Clustering via Temporal Smoothness for Sequential Data | segmentation | |
| SequentialSegNet: Combination with Sequential Feature for Multi-Organ | segmentation | |
| Serialized k-Means for Adaptative Color Image | segmentation | |
| Serialized unsupervised classifier for adaptative color image | segmentation | : application to digitized ancient manuscripts |
| SERNet: Squeeze and Excitation Residual Network for Semantic | segmentation | of High-Resolution Remote Sensing Images |
| SeSe-Net: Self-Supervised deep learning for | segmentation | |
| SESV: Accurate Medical Image | segmentation | by Predicting and Correcting Errors |
| Set of Methods for Spontaneous ICH | segmentation | and Tracking from CT Head Images |
| Set-based Hybrid Approach (SHA) for MRI | segmentation | , A |
| Set-Constrained Viterbi for Set-Supervised Action | segmentation | |
| Severity-Aware Semantic | segmentation | With Reinforced Wasserstein Training |
| Sewage Pipe Image | segmentation | Using a Neural-Based Architecture |
| SF-Net: A Multi-Task Model for Brain Tumor | segmentation | in Multimodal MRI via Image Fusion |
| SFNet-N: An Improved SFNet Algorithm for Semantic | segmentation | of Low-Light Autonomous Driving Road Scenes |
| Sfnet: Faster and Accurate Semantic | segmentation | Via Semantic Flow |
| SG-Net: Spatial Granularity Network for One-Stage Video Instance | segmentation | |
| SG-One: Similarity Guidance Network for One-Shot Semantic | segmentation | |
| SGA-Net: Self-Constructing Graph Attention Neural Network for Semantic | segmentation | of Remote Sensing Images |
| SGFNet: Semantic-Guided Fusion Network for RGB-Thermal Semantic | segmentation | |
| SGN: Sequential Grouping Networks for Instance | segmentation | |
| SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance | segmentation | |
| shading zone problem in geodesic voting and its solutions for the | segmentation | of tree structures. Application to the segmentation of Microglia extensions, The |
| shading zone problem in geodesic voting and its solutions for the | segmentation | of tree structures. Application to the segmentation of Microglia extensions, The |
| Shadow and Highlight Invariant Colour | segmentation | Algorithm for Traffic Signs |
| Shadow Detection based on Colour | segmentation | and Estimated Illumination |
| Shadow Detection by Combined Photometric Invariants for Improved Foreground | segmentation | |
| Shadow Detection from Very High Resoluton Satellite Image Using Grabcut | segmentation | and Ratio-Band Algorithms |
| Shadow free | segmentation | in still images using local density measure |
| Shadow Removal for Foreground | segmentation | |
| Shadow Resistant Road | segmentation | from a Mobile Monocular System |
| Shadow | segmentation | and Classification in a Constrained Environment |
| Shadow | segmentation | in SAS and SAR Using Bayesian Elastic Contours |
| Shadow | segmentation | Using Time-of-Flight Cameras |
| Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound | segmentation | |
| Shadow-less | segmentation | of moving humans from surveillance video sequences |
| Shallow Detail and Semantic | segmentation | Combined Bilateral Network Model for Lane Detection |
| Shallow Features Guide Unsupervised Domain Adaptation for Semantic | segmentation | at Class Boundaries |
| Shallow U-Net with Split-Fused Attention Mechanism for Retinal Vessel | segmentation | , A |
| Shallow-Guided Transformer for Semantic | segmentation | of Hyperspectral Remote Sensing Imagery |
| Shape (self-)similarity and Dissimilarity Rating for | segmentation | and Matching |
| Shape Analysis and Fuzzy Control for 3D Competitive | segmentation | of Brain Structures with Level Sets |
| Shape and appearance priors for level set-based left ventricle | segmentation | |
| Shape based co- | segmentation | repairing by segment evaluation and object proposals |
| Shape Based | segmentation | by Level Set Method for Medical Objects Containing Two Regions |
| Shape Based | segmentation | of Anatomical Structures in Magnetic Resonance Images |
| Shape Based Speckle Removal for Ultrasound Image | segmentation | |
| Shape constrained figure-ground | segmentation | and tracking |
| Shape constrained image | segmentation | by parametric distributional clustering |
| Shape Constrained Network for Eye | segmentation | in the Wild |
| Shape Decomposition Approach for Ultrasound Color Doppler Image | segmentation | |
| Shape Deformation: SVM Regression and Application to Medical Image | segmentation | |
| Shape Derivative Based Approach for Crowd Flow | segmentation | , A |
| Shape from semantic | segmentation | via the geometric Renyi divergence |
| Shape gradient for multi-modal image | segmentation | using mutual information |
| Shape gradients for histogram | segmentation | using active contours |
| Shape group Boltzmann machine for simultaneous object | segmentation | and action classification |
| Shape Guided Object | segmentation | |
| Shape Matching by | segmentation | Averaging |
| Shape Prior Based Myocardial | segmentation | with Anatomically Motivated Pose Model |
| Shape prior based on statistical map for active contour | segmentation | |
| Shape prior based | segmentation | for organ deformation correction |
| Shape Prior Embedded Geodesic Distance Transform for Image | segmentation | |
| Shape Prior Model for Media-Adventitia Border | segmentation | in IVUS Using Graph Cut |
| Shape Prior Regularized Continuous Max-Flow Approach to Image | segmentation | |
| Shape prior | segmentation | of multiple objects with graph cuts |
| Shape priors and discrete MRFs for knowledge-based | segmentation | |
| Shape Priors and Online Appearance Learning for Variational | segmentation | and Object Recognition in Static Scenes |
| Shape priors in variational image | segmentation | : Convexity, Lipschitz continuity and globally optimal solutions |
| Shape reconstruction for color objects using | segmentation | and photometric stereo |
| Shape reconstruction from two color images using photometric stereo combined with | segmentation | and stereopsis |
| Shape Representation and Image | segmentation | Using Deformable Surfaces |
| Shape Representation based on Integral Kernels: Application to Image Matching and | segmentation | |
| Shape Representation for Efficient Landmark-Based | segmentation | in 3-D |
| Shape robustness in style enhanced cross domain semantic | segmentation | |
| Shape | segmentation | Using Arc/Chord Properties |
| Shape | segmentation | Using Relaxation |
| Shape Sharing for Object | segmentation | |
| Shape Sparse Representation for Joint Object Classification and | segmentation | |
| Shape Statistics for Image | segmentation | with Prior |
| Shape Statistics in Kernel Space for Variational Image | segmentation | |
| Shape- and Appearance-based | segmentation | of Volumetric Medical Images |
| Shape-Appearance Guided Level-Set Deformable Model for Image | segmentation | |
| Shape-Aware Joint Distribution Alignment for Cross-Domain Image | segmentation | |
| Shape-aware multi-atlas | segmentation | |
| Shape-Based Active Contours for Fast Video | segmentation | |
| Shape-Based Approach to Robust Image | segmentation | using Kernel PCA |
| Shape-Based Approach to Robust Image | segmentation | , A |
| shape-based approach to the | segmentation | of medical imagery using level sets, A |
| Shape-Based Human Detection and | segmentation | via Hierarchical Part-Template Matching |
| Shape-based image | segmentation | through photometric stereo |
| Shape-Based Image | segmentation | Using Normalized Cuts |
| Shape-Based Mutual | segmentation | |
| Shape-Based Normalized Cuts Using Spectral Relaxation for Biomedical | segmentation | |
| Shape-Based Object Detection via Boundary Structure | segmentation | |
| Shape-Based Object | segmentation | with Simultaneous Intensity Adjustment |
| Shape-Based | segmentation | Approach: An Improved Technique Using Level Sets, A |
| shape-based | segmentation | method for mobile laser scanning point clouds, A |
| shape-driven MRF model for the | segmentation | of organs in medical images, A |
| Shape-Driven Three-Dimensional Watersnake | segmentation | of Biological Membranes in Electron Tomography |
| Shape-oriented | segmentation | with graph matching corroboration for silhouette tracking |
| Shape-tailored local descriptors and their application to | segmentation | and tracking |
| shape-template based two-stage corpus callosum | segmentation | technique for sagittal plane T1-weighted brain magnetic resonance images, A |
| ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic | segmentation | |
| Shared-bed person | segmentation | based on motion estimation |
| Sharing is Caring: Concurrent Interactive | segmentation | and Model Training using a Joint Model |
| Sharp Concentration-Based Adaptive | segmentation | Algorithm, A |
| SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance | segmentation | |
| Shatter and Gather: Learning Referring Image | segmentation | with Text Supervision |
| Shedding light on stereoscopic | segmentation | |
| ShelfNet for Fast Semantic | segmentation | |
| Shell-Net: A robust deep neural network for the joint | segmentation | of retinal fragments |
| Shift-Invariant Neural Network for the Lung Field | segmentation | in Chest Radiography, A |
| Ship Detection under Complex Backgrounds Based on Accurate Rotated Anchor Boxes from Paired Semantic | segmentation | |
| Shock-Based Reaction-Diffusion Bubbles for Image | segmentation | |
| Shortest Enclosing Walks with a Non-zero Winding Number in Directed Weighted Planar Graphs: A Technique for Image | segmentation | |
| Shortest Path Based Planar Graph Cuts for Bi-layer | segmentation | of Binocular Stereo Video |
| Shortest Path with Backtracking Based Automatic Layer | segmentation | in Pathological Retinal Optical Coherence Tomography |
| Shortest-Path Constraints for 3D Multiobject Semiautomatic | segmentation | Via Clustering and Graph Cut |
| Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co- | segmentation | |
| SHREC'12 Track: 3d Mesh | segmentation | |
| SiamDoGe: Domain Generalizable Semantic | segmentation | Using Siamese Network |
| Siamese Dynamic Mask Estimation Network for Fast Video Object | segmentation | |
| SiamMask: A Framework for Fast Online Object Tracking and | segmentation | |
| SibNet: Food instance counting and | segmentation | |
| SICNet: Learning selective inter-slice context via Mask-Guided Self-knowledge distillation for NPC | segmentation | |
| Side Adapter Network for Open-Vocabulary Semantic | segmentation | |
| Sideinfnet: A Deep Neural Network for Semi-automatic Semantic | segmentation | with Side Information |
| Sign | segmentation | Using Dynamics and Hand Configuration for Semi-automatic Annotation of Sign Language Corpora |
| Sign | segmentation | with Changepoint-Modulated Pseudo-Labelling |
| SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic | segmentation | |
| Signal processing for | segmentation | of vocal and non-vocal regions in songs: A review |
| Signature | segmentation | from Document Images |
| Signature | segmentation | from Machine Printed Documents Using Conditional Random Field |
| Significance Tests and Statistical Inequalities for | segmentation | by Region Growing on Graph |
| Significance-Aware Information Bottleneck for Domain Adaptive Semantic | segmentation | |
| Significantly Different Textures: A Computational Model of Pre-Attentive Texture | segmentation | |
| Silhouette extraction based on iterative spatio-temporal local color transformation and graph-cut | segmentation | |
| Silhouette | segmentation | in Multiple Views |
| Sim2real Transfer Learning for Point Cloud | segmentation | : An Industrial Application Case on Autonomous Disassembly |
| SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance | segmentation | |
| SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image | segmentation | |
| SIMD Algorithm for Range Image | segmentation | , An |
| SimDSR: Simultaneous detection and | segmentation | for repetitive patterns |
| Similarity Distillation Guided Feature Refinement Network for Few-Shot Semantic | segmentation | , A |
| Similarity Metrics for Genetic Adaptation of | segmentation | Parameters |
| Similarity-Based and Perception-Based Image | segmentation | |
| Simple Algorithm of Superpixel | segmentation | With Boundary Constraint, A |
| simple and effective texture characterization for image | segmentation | , A |
| Simple and Efficient Architectures for Semantic | segmentation | |
| Simple and Powerful Global Optimization for Unsupervised Video Object | segmentation | , A |
| Simple and Practical Solution to the Rigid Body Motion | segmentation | Problem Using a RGB-D Camera, A |
| Simple and Robust Framework for Cross-Modality Medical Image | segmentation | applied to Vision Transformers, A |
| Simple Baseline for Open-Vocabulary Semantic | segmentation | with Pre-trained Vision-Language Model, A |
| Simple Baseline for Semi-supervised Semantic | segmentation | with Strong Data Augmentation*, A |
| simple boundary reinforcement technique for | segmentation | without prior, A |
| Simple Copy-Paste is a Strong Data Augmentation Method for Instance | segmentation | |
| Simple Does It: Weakly Supervised Instance and Semantic | segmentation | |
| Simple Framework for Open-Vocabulary | segmentation | and Detection, A |
| Simple Framework for Spatio-Temporal Video | segmentation | and Delayering Using Dense Motion Fields, A |
| Simple Framework for Text-Supervised Semantic | segmentation | , A |
| Simple High Performance Approach to Semantic | segmentation | , A |
| Simple Layout | segmentation | of Gray-Scale Document Images |
| Simple Single-Scale Vision Transformer for Object Detection and Instance | segmentation | , A |
| Simple Unsupervised MRF Model Based Image | segmentation | Approach, A |
| simple weighted thresholding method for the | segmentation | of pigmented skin lesions in macroscopic images, A |
| Simple-to-Complex Discriminative Clustering for Hierarchical Image | segmentation | |
| SimpleClick: Interactive Image | segmentation | with Simple Vision Transformers |
| Simpler editing of graph-based | segmentation | hierarchies using zipping algorithms |
| Simpler is Better: Few-shot Semantic | segmentation | with Classifier Weight Transformer |
| Simplification of a Color Image | segmentation | Using a Fuzzy Attributed Graph |
| Simplified Approach to the HMM Based Texture Analysis and Its Application to Document | segmentation | , A |
| Simplified Gaussian and Mean Curvatures to Range Image | segmentation | |
| Simplified pulse-coupled neural network for adaptive | segmentation | of fabric defects, A |
| Simplified | segmentation | for Compound Image Compression |
| simplified texture gradient method for improved image | segmentation | , A |
| Simplified unsupervised image translation for semantic | segmentation | adaptation |
| SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object | segmentation | Network |
| SimT: Handling Open-set Noise for Domain Adaptive Semantic | segmentation | |
| Simultaneous Analysis of 2D Echo Views for Left Atrial | segmentation | and Disease Detection |
| Simultaneous Appearance Modeling and | segmentation | for Matching People Under Occlusion |
| Simultaneous bias correction and image | segmentation | via L0 regularized Mumford-Shah model |
| Simultaneous Detection and | segmentation | |
| Simultaneous detection and | segmentation | for generic objects |
| Simultaneous Detection and | segmentation | of Pedestrians using Top-down and Bottom-up Processing |
| Simultaneous Detection of Regular Patterns in Ancient Manuscripts Using Gan-based Deep Unsupervised | segmentation | |
| Simultaneous Estimation of | segmentation | and Shape |
| Simultaneous estimation of the Markov random field parameters and the classes for image | segmentation | |
| Simultaneous extraction of two adjacent bony structures in x-ray images: Application to hip joint | segmentation | |
| Simultaneous Gesture | segmentation | and Recognition based on Forward Spotting Accumulative HMMs |
| Simultaneous image | segmentation | and 3D plane fitting for RGB-D sensors: An iterative framework |
| Simultaneous Lesion | segmentation | and Bias Correction in Breast Ultrasound Images |
| Simultaneous Map Estimation of Inhomogeneity and | segmentation | of Brain Tissues from MR Images |
| Simultaneous Monocular 2D | segmentation | , 3D Pose Recovery and 3D Reconstruction |
| Simultaneous Motion Estimation and | segmentation | |
| Simultaneous motion parameter estimation and image | segmentation | using the EM algorithm |
| Simultaneous motion | segmentation | and Structure from Motion |
| Simultaneous motion-disparity estimation and | segmentation | from stereo |
| Simultaneous multi-body stereo and | segmentation | |
| Simultaneous Multi-object | segmentation | Using Local Robust Statistics and Contour Interaction |
| Simultaneous Multi-Structure | segmentation | and 3D Nonrigid Pose Estimation in Image-Guided Robotic Surgery |
| Simultaneous multiphase image | segmentation | and cartoon-texture decomposition |
| Simultaneous Nonrigid Registration, | segmentation | , and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy |
| Simultaneous Nuclear Instance and Layer | segmentation | in Oral Epithelial Dysplasia |
| Simultaneous Object Classification and | segmentation | With High-Order Multiple Shape Models |
| Simultaneous Object Detection and | segmentation | by Boosting Local Shape Feature based Classifier |
| Simultaneous Object Recognition and | segmentation | by Image Exploration |
| Simultaneous Object Recognition and | segmentation | from Single or Multiple Model Views |
| Simultaneous Object | segmentation | and Recognition by Merging CNN Outputs from Uniformly Distributed Multiple Viewpoints |
| Simultaneous Object | segmentation | , Multiple Object Tracking and Alpha Map Generation |
| Simultaneous Optic Flow Estimation and | segmentation | by Means of LS Techniques |
| Simultaneous Optimal | segmentation | and Model Estimation of Nonstationary Noisy Images |
| Simultaneous Parameter Estimation and Image | segmentation | for Image Sequence Coding |
| Simultaneous Parameter Estimation and | segmentation | of Gibbs Random Fields Using Simulated Annealing |
| Simultaneous Reconstruction and | segmentation | of CT Scans with Shadowed Data |
| Simultaneous region and edge | segmentation | of infrared images using non-maximal suppression for edge thinning |
| Simultaneous Registration and | segmentation | by L1 Minimization |
| Simultaneous Road Surface and Centerline Extraction From Large-Scale Remote Sensing Images Using CNN-Based | segmentation | and Tracing |
| Simultaneous | segmentation | and 3D Reconstruction of Monocular Image Sequences |
| Simultaneous | segmentation | and Approximation of Complex Patterns |
| Simultaneous | segmentation | and Bias Field Estimation Using Local Fitted Images |
| Simultaneous | segmentation | and classification of human actions in video streams using deeply optimized Hough transform |
| Simultaneous | segmentation | and Classification of Mass Region From Mammograms Using a Mixed-Supervision Guided Deep Model |
| Simultaneous | segmentation | and correction model for color medical and natural images with intensity inhomogeneity |
| Simultaneous | segmentation | and Figure/Ground Organization Using Angular Embedding |
| Simultaneous | segmentation | and Filtering via Reduced Graph Cuts |
| Simultaneous | segmentation | and Modelling of Signals Based on an Equipartition Principle |
| Simultaneous | segmentation | and Motion Recovery in 3D Cardiac Image Analysis |
| Simultaneous | segmentation | and Multiresolution Nonrigid Atlas Registration |
| Simultaneous | segmentation | and Pose Estimation of Humans Using Dynamic Graph Cuts |
| Simultaneous | segmentation | and Recognition: Towards More Accurate Ego Gesture Recognition |
| Simultaneous | segmentation | and registration for functional MR images |
| Simultaneous | segmentation | of prostatic zones using Active Appearance Models with multiple coupled levelsets |
| Simultaneous | segmentation | of range and color images based on Bayesian decision theory |
| Simultaneous Semantic | segmentation | and Outlier Detection in Presence of Domain Shift |
| Simultaneous semantic | segmentation | of a set of partially labeled images |
| Simultaneous Surface Approximation and | segmentation | of Complex Objects |
| Simultaneous target recognition, | segmentation | and pose estimation |
| Simultaneous Trajectory Association and Clustering for Motion | segmentation | |
| Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image | segmentation | |
| Simultaneous Truth and Performance Level Estimation Through Fusion of Probabilistic | segmentation | s |
| Simultaneous tumor | segmentation | , image restoration, and blur kernel estimation in PET using multiple regularizations |
| Simultaneous Two-View Epipolar Geometry Estimation and Motion | segmentation | by 4D Tensor Voting |
| Simultaneous variational image | segmentation | and object recognition via shape sparse representation |
| Simultaneous vector-valued image | segmentation | and intensity nonuniformity correction using variational level set combined with Markov random field modeling |
| Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic | segmentation | |
| SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance | segmentation | |
| SINet: Extreme Lightweight Portrait | segmentation | Networks with Spatial Squeeze Modules and Information Blocking Decoder |
| Single annotated pixel based weakly supervised semantic | segmentation | under driving scenes |
| Single change detection-based moving object | segmentation | by using Daubechies complex wavelet transform |
| Single Domain Generalization for LiDAR Semantic | segmentation | |
| Single Frame Semantic | segmentation | Using Multi-Modal Spherical Images |
| Single Image Dehazing Based on Sky Area | segmentation | and Image Fusion |
| Single image dehazing by latent region- | segmentation | based transmission estimation and weighted L 1-norm regularisation |
| Single Image | segmentation | with Estimated Depth |
| Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image | segmentation | |
| Single Stage Weakly Supervised Semantic | segmentation | of Complex Scenes |
| Single Tree | segmentation | Using Airborne Laser Scanner Data in a Structurally Heterogeneous Spruce Forest |
| Single-Domain Generalization for Semantic | segmentation | Via Dual-Level Domain Augmentation |
| Single-Histogram Class Models for Image | segmentation | |
| Single-image depth estimation by refined | segmentation | and consistency reconstruction |
| Single-Loss Multi-task Learning For Improving Semantic | segmentation | Using Super-Resolution |
| Single-Resolution Fully Convolutional Network for Retinal Vessel | segmentation | in Raw Fundus Images, A |
| Single-shot Path Integrated Panoptic | segmentation | |
| Single-Stage Semantic | segmentation | From Image Labels |
| Single-Stream | segmentation | and Depth Prediction CNN for Autonomous Driving, A |
| Sinuosity pattern recognition of road features for | segmentation | purposes in cartographic generalization |
| Sipmask: Spatial Information Preservation for Fast Image and Video Instance | segmentation | |
| SipMaskv2: Enhanced Fast Image and Video Instance | segmentation | |
| site entropy rate and degree centrality based algorithm for image co- | segmentation | , A |
| Size-invariant cell nucleus | segmentation | in 3-D microscopy |
| SKCS: New separable kernel family with compact support: Application to visual | segmentation | of handwritten data |
| Skeletal Similarity Metric for Quality Evaluation of Retinal Vessel | segmentation | , A |
| Skeleton Search: Category-Specific Object Recognition and | segmentation | Using a Skeletal Shape Model |
| Skeleton-based human | segmentation | in still images |
| Skeleton-Based Shape Models with Pressure Forces: Application to | segmentation | of Overlapping Leaves |
| Skeletonization and | segmentation | of point clouds using octrees and graph theory |
| Sketch-Segformer: Transformer-Based | segmentation | for Figurative and Creative Sketches |
| SketchSurfaces: Sketch-Line Initialized Deformable Surfaces for Efficient and Controllable Interactive 3D Medical Image | segmentation | |
| Skin Cancer | segmentation | Using a Unified Markov Random Field |
| Skin Color | segmentation | Using Coarse-to-Fine Region on Normalized RGB Chromaticity Diagram for Face Detection |
| Skin Color Weighted Disparity Competition for Hand | segmentation | from Stereo Camera |
| Skin Color-Based Video | segmentation | under Time-Varying Illumination |
| Skin lesion extraction in dermoscopic images based on colour enhancement and iterative | segmentation | |
| Skin lesion | segmentation | based on mask RCNN, Multi Atrous Full-CNN, and a geodesic method |
| Skin Lesion | segmentation | Ensemble with Diverse Training Strategies |
| Skin lesion | segmentation | in clinical images using deep learning |
| Skin lesion | segmentation | using an improved framework of encoder-decoder based convolutional neural network |
| Skin lesion | segmentation | using object scale-oriented fully convolutional neural networks |
| Skin Lesion | segmentation | via Dense Connected Deconvolutional Network |
| Skin | segmentation | Algorithm Based on Stacked Autoencoders, A |
| Skin | segmentation | using Active Contours and Gaussian Mixture Models for Heart Rate Detection in Videos |
| Skin | segmentation | Using Color Pixel Classification: Analysis and Comparison |
| Skinny: A Lightweight U-Net For Skin Detection And | segmentation | |
| SKMAT-U-Net architecture for breast mass | segmentation | |
| Skull | segmentation | in MRI by a Support Vector Machine Combining Local and Global Features |
| Skull Stripping Using Confidence | segmentation | Convolution Neural Network |
| Sky | segmentation | by Fusing Clustering with Neural Networks |
| Sky | segmentation | in the wild: An empirical study |
| Slap Fingerprint | segmentation | for Live-Scan Devices and Ten-Print Cards |
| Slap fingerprint | segmentation | using symmetric filters based quality |
| SLIC Superpixel | segmentation | for Polarimetric SAR Images |
| SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion | segmentation | |
| Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive | segmentation | of Volumetric Images |
| Slice-Based Instance and Semantic | segmentation | for Low-Channel Roadside LiDAR Data |
| Slide deep reinforcement learning networks: Application for left ventricle | segmentation | |
| Slide Screening of Metastases in Lymph Nodes via Conditional, Fully Convolutional | segmentation | |
| Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image | segmentation | Under Limited Computational Resources |
| SLIM: Self-Supervised LiDAR Scene Flow and Motion | segmentation | |
| Slot-VPS: Object-centric Representation Learning for Video Panoptic | segmentation | |
| SLVP: Self-Supervised Language-Video Pre-Training for Referring Video Object | segmentation | |
| Small Object Augmentation of Urban Scenes for Real-Time Semantic | segmentation | |
| Small object | segmentation | with fully convolutional network based on overlapping domain decomposition |
| Small Object Sensitive | segmentation | of Urban Street Scene With Spatial Adjacency Between Object Classes |
| Small Objects Matters in Weakly-supervised Semantic | segmentation | |
| Small Obstacle Avoidance Based on RGB-D Semantic | segmentation | |
| Small Target Augmentation for Urban Remote Sensing Image Real-Time | segmentation | |
| Small-Object Sensitive | segmentation | Using Across Feature Map Attention |
| Small-world approximations in spectral | segmentation | |
| Smallholder Crop Area Mapped with a Semantic | segmentation | Deep Learning Method |
| Smart Learning of Click and Refine for Nuclei | segmentation | on Histology Images |
| SMBCNet: A Transformer-Based Approach for Change Detection in Remote Sensing Images through Semantic | segmentation | |
| SML: Semantic meta-learning for few-shot semantic | segmentation | ? |
| SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance | segmentation | in 2D Cine Cardiac MRI |
| Smoke-Aware Global-Interactive Non-Local Network for Smoke Semantic | segmentation | |
| Smooth Chan-Vese | segmentation | via graph cuts |
| Smooth contour coding with minimal description length active grid | segmentation | techniques |
| Smooth Foreground-Background | segmentation | for Video Processing |
| Smooth Image | segmentation | by Nonparametric Bayesian Inference |
| Smooth Non-Rectangular Time-Frequency | segmentation | of L2(R2), A |
| Smoothing B-spline active contour for fast and robust image and video | segmentation | |
| Smoothness in Layers: Motion | segmentation | Using Nonparametric Mixture Estimation |
| SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion | segmentation | in Ultrasound Image |
| Snake based unsupervised texture | segmentation | using Gaussian Markov Random Field Models |
| snake for CT image | segmentation | integrating region and edge information, A |
| Snake for Model Based | segmentation | of Biomedical Images, A |
| Snake for Model-Based | segmentation | , A |
| Snake for Retinal Vessel | segmentation | , A |
| snake-based approach to automated | segmentation | of tongue image using polar edge detector, A |
| Snake-based liver lesion | segmentation | |
| SnakeCut: An Integrated Approach Based on Active Contour and GrabCut for Automatic Foreground Object | segmentation | |
| SnapshotNet: Self-supervised feature learning for point cloud data | segmentation | using minimal labeled data |
| Sne-roadseg: Incorporating Surface Normal Information into Semantic | segmentation | for Accurate Freespace Detection |
| SO-NET: Joint Semantic | segmentation | and Obstacle Detection Using Deep Fusion of Monocular Camera and Radar |
| Sobel Heuristic Kernel for Aerial Semantic | segmentation | |
| Soccer line mark | segmentation | and classification with stochastic watershed transform |
| Soccer video | segmentation | : Referee and player detection |
| SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance | segmentation | |
| Soft Color | segmentation | and Its Applications |
| Soft Colour | segmentation | On Light Fields |
| Soft image | segmentation | by weighted linked pyramid |
| Soft image | segmentation | model |
| soft multiphase | segmentation | model via Gaussian mixture, A |
| Soft | segmentation | of Numeric Amounts on Cheques |
| Soft | segmentation | -guided bipartite graph image stylization |
| Soft-Boundary Label Relaxation with class placement constraints for semantic | segmentation | of the railway environment |
| Soft- | segmentation | Guided Object Motion Deblurring |
| SoftGroup for 3D Instance | segmentation | on Point Clouds |
| Software Architecture of PSET: A Page | segmentation | Evaluation Toolkit |
| Soil Salinity Estimation in Cotton Fields in Arid Regions Based on Multi-Granularity Spectral | segmentation | (MGSS) |
| SOLD: Sub-optimal low-rank decomposition for efficient video | segmentation | |
| Solidity based local threshold for oil sand image | segmentation | |
| SOLO: A Simple Framework for Instance | segmentation | |
| Solution to the Problem of | segmentation | Near Edges Using Adaptable Class-specific Representation, A |
| Solve the Puzzle of Instance | segmentation | in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration |
| SOM | segmentation | of gray scale images for optical recognition |
| Soma | segmentation | Benchmark in Full Adult Fly Brain, A |
| Some Experiments in Image | segmentation | by Clustering of Local Feature Values |
| Some fast projection methods based on Chan-Vese model for image | segmentation | |
| Some Further Results of Experimental Comparison of Range Image | segmentation | Algorithms |
| Some Models and Methods in Image | segmentation | |
| Some | segmentation | Processes for Application with a Spoke Filter |
| Some Uses of Pyramids in Image Processing and | segmentation | |
| Sonar Image Composition for Semantic | segmentation | Using Machine Learning |
| Sonar Image | segmentation | by Fuzzy C-Means |
| Sonar Image | segmentation | Using an Unsupervised Hierarchical MRF Model |
| SortedAP: Rethinking evaluation metrics for instance | segmentation | |
| SOSMaskFuse: An Infrared and Visible Image Fusion Architecture Based on Salient Object | segmentation | Mask |
| Source-Free Domain Adaptation for RGB-D Semantic | segmentation | with Vision Transformers |
| Source-Free Domain Adaptation for Semantic | segmentation | |
| Source-Free Open Compound Domain Adaptation in Semantic | segmentation | |
| Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic | segmentation | |
| Space-Time Joint Multi-layer | segmentation | and Depth Estimation |
| Space-Time Memory Networks for Video Object | segmentation | With User Guidance |
| Space-Time Multi-Resolution Banded Graph-Cut for Fast | segmentation | |
| Space-Time | segmentation | Based on a Joint Entropy with Estimation of Nonparametric Distributions |
| Space-time | segmentation | using level set active contours applied to myocardial gated SPECT |
| Space-Varying Color Distributions for Interactive Multiregion | segmentation | : Discrete versus Continuous Approaches |
| Space/Frequency Shape Inference and | segmentation | of Textured 3D Surfaces |
| Spacecraft Dataset for Detection, | segmentation | and Parts Recognition, A |
| SpaceMeshLab: Spatial Context Memoization and Meshgrid Atrous Convolution Consensus for Semantic | segmentation | |
| SparCLeS: Dynamic L_1 Sparse Classifiers With Level Sets for Robust Beard/Moustache Detection and | segmentation | |
| Sparse and Complete Latent Organization for Geospatial Semantic | segmentation | |
| Sparse and Dense Data with CNNs: Depth Completion and Semantic | segmentation | |
| Sparse Coding and Mid-Level Superpixel-Feature for l0-Graph Based Unsupervised Image | segmentation | |
| Sparse Coding Based Skin Lesion | segmentation | Using Dynamic Rule-Based Refinement |
| Sparse Coding Driven Deep Decision Tree Ensembles for Nucleus | segmentation | in Digital Pathology Images |
| sparse coding method for semi-supervised | segmentation | with multi-class histogram constraints, A |
| Sparse coding with morphology | segmentation | and multi-label fusion for hyperspectral image super-resolution |
| Sparse Dictionaries for Semantic | segmentation | |
| Sparse Instance Activation for Real-Time Instance | segmentation | |
| Sparse Layered Graphs for Multi-Object | segmentation | |
| Sparse Motion | segmentation | Using Multiple Six-Point Consistencies |
| Sparse Multi-View Consistency for Object | segmentation | |
| Sparse Multimodal Vision Transformer for Weakly Supervised Semantic | segmentation | |
| Sparse Non-Negative Matrix Factorization for Mesh | segmentation | |
| Sparse Object-level Supervision for Instance | segmentation | with Pixel Embeddings |
| Sparse Optimization for Motion | segmentation | |
| Sparse Patch-Based Label Fusion for Multi-Atlas | segmentation | |
| Sparse Point Cloud Densification by Combining Multiple | segmentation | Methods |
| Sparse point-voxel aggregation network for efficient point cloud semantic | segmentation | |
| Sparse Spatial Attention Network for Semantic | segmentation | |
| Sparse Stereo Disparity Map Densification Using Hierarchical Image | segmentation | |
| Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic | segmentation | |
| Sparsely Annotated Semantic | segmentation | with Adaptive Gaussian Mixtures |
| Sparseness-Based Descriptors for Texture | segmentation | |
| Sparsity, redundancy and optimal image support towards knowledge-based | segmentation | |
| Sparsity-based retinal layer | segmentation | of optical coherence tomography images |
| SPaSe - Multi-Label Page | segmentation | for Presentation Slides |
| Spatial a: Trimmed Fuzzy C-Means Algorithm to Image | segmentation | |
| Spatial and Channel Attention Modulated Network for Medical Image | segmentation | |
| Spatial and Fourier Error Minimization for Motion Estimation and | segmentation | |
| Spatial and Spectral Based | segmentation | of Text in Multispectral Images of Ancient Documents |
| Spatial bias in multi-atlas based | segmentation | |
| Spatial codification of label predictions in multi-scale stacked sequential learning: a case study on multi-class medical volume | segmentation | |
| Spatial color histogram based center voting method for subsequent object tracking and | segmentation | |
| Spatial constraint for efficient semi-supervised video object | segmentation | |
| Spatial Context Energy Curve-Based Multilevel 3-D Otsu Algorithm for Image | segmentation | |
| Spatial Context-Aware Self-Attention Model For Multi-Organ | segmentation | |
| Spatial Context-Based Local Toponym Extraction and Chinese Textual Address | segmentation | from Urban POI Data |
| Spatial density estimation based | segmentation | of super-resolution localization microscopy images |
| Spatial Dependence of Predictions from Image | segmentation | : A Methods to Determine Appropriate Scales for Producing Land-Management Information |
| Spatial Discriminant Function with Minimum Error Rate for Image | segmentation | |
| Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance | segmentation | |
| Spatial Filtering with Multi-scale | segmentation | Based on Gaussian Function |
| spatial fuzzy C-means algorithm with application to MRI image | segmentation | , A |
| Spatial Heterogeneity-Based | segmentation | Model for Analyzing Road Deterioration Network Data in Multi-Scale Infrastructure Systems, A |
| Spatial information based FCM for infrared ship target | segmentation | |
| Spatial Information Guided Convolution for Real-Time RGBD Semantic | segmentation | |
| Spatial kernel K-harmonic means clustering for multi-spectral image | segmentation | |
| Spatial probabilistic distribution map-based two-channel 3D U-net for visual pathway | segmentation | |
| Spatial Pyramid Based Graph Reasoning for Semantic | segmentation | |
| Spatial | segmentation | of Color Images According to the MDL Formalism |
| Spatial | segmentation | of Temporal Texture Using Mixture Linear Models |
| Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus | segmentation | in Pap Smear Images |
| Spatial Structure Constraints for Weakly Supervised Semantic | segmentation | |
| Spatial Thresholding Method for Image | segmentation | , A |
| Spatial-Aware Transformer (SAT): Enhancing Global Modeling in Transformer | segmentation | for Remote Sensing Images |
| Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI | segmentation | |
| Spatial-Feature Parametric Clustering Applied to Motion-Based | segmentation | in Camouflage |
| Spatial-Frequency Network for | segmentation | of Remote Sensing Images |
| Spatial-Spectral Feature Fusion Coupled with Multi-Scale | segmentation | Voting Decision for Detecting Land Cover Change with VHR Remote Sensing Images |
| Spatial-Temporal Aggregated Shuffle Attention for Video Instance | segmentation | of Traffic Scene |
| Spatial-temporal joint probability images for video | segmentation | |
| Spatial/Joint Space-Time Motion | segmentation | of Image Sequences by Level Set Pursuit |
| Spatial/Spatial-Frequency Representations for Image | segmentation | and Grouping |
| SpatialFlow: Bridging All Tasks for Panoptic | segmentation | |
| Spatialising uncertainty in image | segmentation | using weakly supervised convolutional neural networks: a case study from historical map processing |
| spatially aware generative model for image classification, topic discovery and | segmentation | , A |
| Spatially Aware Patch-Based | segmentation | (SAPS): An Alternative Patch-Based Segmentation Framework |
| Spatially Aware Patch-Based | segmentation | (SAPS): An Alternative Patch-Based Segmentation Framework |
| Spatially Coherent Fuzzy Clustering for Accurate and Noise-Robust Image | segmentation | |
| Spatially Coherent Latent Topic Model for Concurrent | segmentation | and Classification of Objects and Scenes |
| Spatially Consistent 3D Motion | segmentation | |
| Spatially Constrained Asymmetric Gaussian Mixture Model for Image | segmentation | , A |
| spatially constrained generative asymmetric Gaussian mixture model for image | segmentation | , A |
| Spatially constrained level-set tracking and | segmentation | of non-rigid objects |
| Spatially Constrained Probabilistic Model for Robust Image | segmentation | , A |
| spatially constrained skew Student's-t mixture model for brain MR image | segmentation | and bias field correction, A |
| Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image | segmentation | |
| Spatially Correlated Mixture Model for Image | segmentation | , A |
| spatially distributed model for foreground | segmentation | , A |
| Spatially Varying Classification with Localization Certainty in Level Set | segmentation | |
| Spatially Varying Color Distributions for Interactive Multilabel | segmentation | |
| Spatially Varying Mixtures Incorporating Line Processes for Image | segmentation | |
| Spatially-Aware Domain Adaptation for Semantic | segmentation | of Urban Scenes |
| Spatially-Coherent | segmentation | Using Hierarchical Gaussian Mixture Reduction Based on Cauchy-Schwarz Divergence |
| Spatially-Constrained Semantic | segmentation | with Topological Maps and Visual Embeddings |
| Spatio-spectral dissimilarity algorithm for multiresolution texture | segmentation | |
| Spatio-Temporal Attention Network for Video Instance | segmentation | |
| Spatio-temporal continuous wavelet transforms for motion-based | segmentation | in real image sequences |
| Spatio-temporal filters for transparent motion | segmentation | |
| Spatio-Temporal GrabCut human | segmentation | for face and pose recovery |
| Spatio-temporal Human Body | segmentation | from Video Stream |
| Spatio-temporal Joint Probability Images for Video | segmentation | |
| Spatio-temporal LBP Based Moving Object | segmentation | in Compressed Domain |
| Spatio-temporal Level-Set Based Cell | segmentation | in Time-Lapse Image Sequences |
| Spatio-temporal motion | segmentation | via level set partial differential equation |
| Spatio-Temporal Motion | segmentation | , Flow Based Segmentation |
| Spatio-Temporal Motion | segmentation | , Flow Based Segmentation |
| Spatio-temporal motion-based foreground | segmentation | and shadow suppression |
| Spatio-Temporal Optimization for Foreground/Background | segmentation | |
| Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic | segmentation | |
| Spatio-temporal Prior Shape Constraint for Level Set | segmentation | |
| Spatio-temporal robust motion estimation and | segmentation | |
| Spatio-temporal | segmentation | and estimation of ocean surface currents from satellite sea surface temperature fields |
| Spatio-temporal | segmentation | and regions tracking of high definition video sequences based on a Markov Random Field model |
| Spatio-temporal | segmentation | based on motion and static segmentation |
| Spatio-temporal | segmentation | based on motion and static segmentation |
| Spatio-temporal | segmentation | for the similarity measurement of deforming meshes |
| Spatio-temporal | segmentation | for Video Surveillance |
| Spatio-temporal | segmentation | of image sequences for object-oriented low bit-rate image coding |
| Spatio-temporal | segmentation | of Moving Video Objects over MPEG Compressed Domain |
| Spatio-Temporal | segmentation | of Rheumatoid Arthritis Lesions in Serial MR Images of Joints |
| Spatio-temporal | segmentation | of Video by Hierarchical Mean Shift Analysis |
| Spatio-Temporal | segmentation | of Video Data |
| Spatio-temporal | segmentation | Using 3d Morphological Tools |
| Spatio-temporal | segmentation | Using Dominant Sets |
| Spatio-temporal | segmentation | Using Laser-scanner and Video Sequences |
| Spatio-temporal | segmentation | with Edge Relaxation and Optimization Using Fully Parallel Methods |
| Spatio-Temporal Semantic Object | segmentation | using Probabilistic Sub-Object Regions |
| Spatio-Temporal Video | segmentation | of Static Scenes and Its Applications |
| Spatio-Temporal Video | segmentation | With Shape Growth or Shrinkage Constraint |
| Spatio-Temporally Coherent Interactive Video Object | segmentation | via Efficient Filtering |
| Spatiotemporal Analysis of Face Profiles: Detection, | segmentation | , and Registration |
| Spatiotemporal CNN for Video Object | segmentation | |
| Spatiotemporal MRF approach to video | segmentation | : Application to motion detection and lip segmentation |
| Spatiotemporal MRF approach to video | segmentation | : Application to motion detection and lip segmentation |
| Spatiotemporal Region Enhancement and Merging for Unsupervized Object | segmentation | |
| Spatiotemporal | segmentation | and Tracking of Objects for Visualization of Videoconference Image Sequences |
| Spatiotemporal | segmentation | and Tracking of Objects in Image Sequences |
| Spatiotemporal | segmentation | Based on Region Merging |
| Spatiotemporal | segmentation | for compact video representation |
| Spatiotemporal | segmentation | using genetic algorithms |
| Spatiotemporal video | segmentation | and motion estimation through irregular pyramids |
| Spatiotemporal Video | segmentation | Based on Graphical Models |
| Spatiotemporal Video | segmentation | Using a Joint Similarity Measure |
| Spatiotemporally Adaptive Estimation and | segmentation | of Optical Flow Fields |
| SPCR: semi-supervised point cloud instance | segmentation | with perturbation consistency regularization |
| Special Issue on | segmentation | , Description, and Retrieval of Video Content: Guest Editorial |
| Special Issue on Video Sequence | segmentation | for Content Based Processing and Manipulation |
| Special Issue Retraction: Jointly network image processing: multi-task image semantic | segmentation | of indoor scene based on CNN |
| Specialize and Fuse: Pyramidal Output Representation for Semantic | segmentation | |
| Spectral Clustering Ensemble Applied to SAR Image | segmentation | |
| Spectral Clustering for Robust Motion | segmentation | |
| Spectral clustering of linear subspaces for motion | segmentation | |
| Spectral clustering steered low-rank representation for subspace | segmentation | |
| Spectral Embedding and Min Cut for Image | segmentation | |
| Spectral Graph Reduction for Efficient Image and Streaming Video | segmentation | |
| Spectral Image | segmentation | Using Image Decomposition and Inner Product-Based Metric |
| Spectral Imagery Tensor Decomposition for Semantic | segmentation | of Remote Sensing Data through Fully Convolutional Networks |
| Spectral Methods for 3-D Motion | segmentation | of Sparse Scene-Flow |
| Spectral Methods in Image | segmentation | : A Combined Approach |
| Spectral Rounding and Image | segmentation | |
| Spectral | segmentation | and multiple frequency-band tomographic backward propagation technique for high-resolution sonar imaging |
| Spectral | segmentation | with Multiscale Graph Decomposition |
| Spectral-spatial Classification of Hyperspectral Imagery Using Neural Network Algorithm and Hierarchical | segmentation | |
| Spectral-Spatial Classification of Hyperspectral Images Based on the Algebraic Multigrid Method and Hierarchical | segmentation | Algorithm, A |
| Spectral-Spatial Context-Boosted Network for Semantic | segmentation | of Remote Sensing Images, A |
| Spectral-Spatial Hyperspectral Image | segmentation | Using Subspace Multinomial Logistic Regression and Markov Random Fields |
| Spectrum-guided Multi-granularity Referring Video Object | segmentation | |
| Speed Comparison of | segmentation | Evaluation Methods |
| Speed Parameters in the Level-Set | segmentation | |
| Speeding up the EM algorithm for mixture model-based | segmentation | of magnetic resonance images |
| Speeding-Up Graph-Based Keyword Spotting by Quadtree | segmentation | s |
| Speedup of deep learning ensembles for semantic | segmentation | using a model compression technique |
| Sperm Cells | segmentation | in Micrographic Images Through Lambertian Reflectance Model |
| Spherical coordinates framed RGB color space dichromatic reflection model based image | segmentation | : Application to wildland fires' outlines extraction |
| Spherical Formulation of Geometric Motion | segmentation | Constraints in Fisheye Cameras |
| Spherical Harmonics Shape Model for Level Set | segmentation | , A |
| Spherical Superpixel | segmentation | |
| Spheroid | segmentation | Using Multiscale Deep Adversarial Networks |
| Spin-context | segmentation | of Breast Tissue Microarray Images |
| SPIn-NeRF: Multiview | segmentation | and Perceptual Inpainting with Neural Radiance Fields |
| Spinal Canal and Spinal Marrow | segmentation | by Means of the Hough Transform of Special Classes of Curves |
| Spine | segmentation | in Medical Images Using Manifold Embeddings and Higher-Order MRFs |
| SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage | segmentation | Framework With Semantic Image Representation |
| Splenomegaly | segmentation | on Multi-Modal MRI Using Deep Convolutional Networks |
| Spline-Based Deforming Ellipsoids for Interactive 3D Bioimage | segmentation | |
| Split and Merge Algorithm for | segmentation | of Natural Scenes, A |
| Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image | segmentation | |
| Split-and-Link Algorithms for Image | segmentation | |
| Split-and-merge algorithms defined on topological maps for 3D image | segmentation | |
| Split-and-merge EM for vine image | segmentation | |
| Split-and-merge | segmentation | Algorithm for Line Extraction in 2-d Range Images, A |
| Split-and-merge | segmentation | employing thresholding technique |
| Split-and-Merge | segmentation | of Aerial Photographs |
| Split-and-Merge | segmentation | of SLAR Imagery: Segmentation Consistency |
| Split-and-Merge | segmentation | of SLAR Imagery: Segmentation Consistency |
| Split-GCN: Effective Interactive Annotation for | segmentation | of Disconnected Instance |
| Split-Merge-merge: An Enhanced | segmentation | Capability |
| Splitting Vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic | segmentation | |
| SPMHand: | segmentation | -Guided Progressive Multi-Path 3D Hand Pose and Shape Estimation |
| SPNet: Multi-shell Kernel Convolution for Point Cloud Semantic | segmentation | |
| Spot | segmentation | Approach for 2D Gel Electrophoresis Images Based on 2D Histograms, A |
| SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and | segmentation | |
| Spotlight: Automated Confidence-Based User Guidance for Increasing Efficiency in Interactive 3D Image | segmentation | |
| Spots | segmentation | in SAR images for remote sensing of environment |
| SPRNet: Single-Pixel Reconstruction for One-Stage Instance | segmentation | |
| SpSequenceNet: Semantic | segmentation | Network on 4D Point Clouds |
| SpVOS: Efficient Video Object | segmentation | With Triple Sparse Convolution |
| SQN: Weakly-Supervised Semantic | segmentation | of Large-Scale 3D Point Clouds |
| Squeeze and multi-context attention for polyp | segmentation | |
| Squeeze U-Net: A Memory and Energy Efficient Image | segmentation | Network |
| Squeeze-and-Attention Networks for Semantic | segmentation | |
| SqueezeNAS: Fast Neural Architecture Search for Faster Semantic | segmentation | |
| Squeezesegv3: Spatially-adaptive Convolution for Efficient Point-cloud | segmentation | |
| SR-clustering: Semantic regularized clustering for egocentric photo streams | segmentation | |
| SRDA: Generating Instance | segmentation | Annotation via Scanning, Reasoning and Domain Adaptation |
| SRP&PASMLP-Net: Lightweight skin lesion | segmentation | network based on structural re-parameterization and parallel axial shift multilayer perceptron |
| SRRNet: A Semantic Representation Refinement Network for Image | segmentation | |
| SRSe-Net: Super-Resolution-Based Semantic | segmentation | Network for Green Tide Extraction |
| SS-Norm: Spectral-spatial normalization for single-domain generalization with application to retinal vessel | segmentation | |
| SS-SFDA: Self-Supervised Source-Free Domain Adaptation for Road | segmentation | in Hazardous Environments |
| SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion | segmentation | |
| SSA3D: Semantic | segmentation | Assisted One-Stage Three-Dimensional Vehicle Object Detection |
| SSAP: Single-Shot Instance | segmentation | With Affinity Pyramid |
| SSAP: Single-Shot Instance | segmentation | With Affinity Pyramid |
| SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action | segmentation | |
| SSCNet: A Spectrum-Space Collaborative Network for Semantic | segmentation | of Remote Sensing Images |
| SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic | segmentation | |
| SSFNET-VOS: Semantic | segmentation | and fusion network for video object segmentation |
| SSFNET-VOS: Semantic | segmentation | and fusion network for video object segmentation |
| SSG: superpixel | segmentation | and GrabCut-based salient object segmentation |
| SSG: superpixel | segmentation | and GrabCut-based salient object segmentation |
| SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust Semantic | segmentation | Based on Drone LiDAR Data |
| SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image | segmentation | |
| SSIS-Seg: Simulation-Supervised Image Synthesis for Surgical Instrument | segmentation | |
| SSP-Regularizer: A Star Shape Prior Based Regularizer for Vessel Lumen | segmentation | in OCT Images |
| SSSC-AM: A unified framework for video co- | segmentation | by structured sparse subspace clustering with appearance and motion features |
| SSTVOS: Sparse Spatiotemporal Transformers for Video Object | segmentation | |
| ST++: Make Self-trainingWork Better for Semi-supervised Semantic | segmentation | |
| ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and | segmentation | |
| Stabilized inverse diffusion equations and | segmentation | of vector-valued images |
| Stable Mean-Shift Algorithm and Its Application to the | segmentation | of Arbitrarily Large Remote Sensing Images |
| Stable self-attention adversarial learning for semi-supervised semantic image | segmentation | |
| Stacked Fully Convolutional Networks with Feature Alignment Framework for Multi-Label Land-cover | segmentation | , A |
| Stacked fully convolutional networks with multi-channel learning: application to medical image | segmentation | |
| Stacked Multiscale Feature Learning for Domain Independent Medical Image | segmentation | |
| Stacked Spatio-Temporal Graph Convolutional Networks for Action | segmentation | |
| Stacked U-Nets for Ground Material | segmentation | in Remote Sensing Imagery |
| STACS: New Active Contour Scheme for Cardiac MR Image | segmentation | |
| Stage-Adaptive Selective Network with Position Awareness for Semantic | segmentation | of LULC Remote Sensing Images, A |
| Stage-Aware Feature Alignment Network for Real-Time Semantic | segmentation | of Street Scenes |
| Staged cluster transformers for intracranial aneurysms | segmentation | from structure fused 3D MRA |
| Stand-Alone Objective | segmentation | Quality Evaluation |
| StandardGAN: Multi-source Domain Adaptation for Semantic | segmentation | of Very High Resolution Satellite Images by Data Standardization |
| Standardized Assessment of Automatic | segmentation | of White Matter Hyperintensities and Results of the WMH Segmentation Challenge |
| Standardized Assessment of Automatic | segmentation | of White Matter Hyperintensities and Results of the WMH Segmentation Challenge |
| Standardized Evaluation System for Left Ventricular | segmentation | Algorithms in 3D Echocardiography |
| Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene | segmentation | |
| Star Shape Prior for Graph-Cut Image | segmentation | |
| Star-convex Polyhedra for 3D Object Detection and | segmentation | in Microscopy |
| STAR: A | segmentation | -Based Approximation of Point-Based Sampling Milano Retinex for Color Image Enhancement |
| Starting Point Selection and Multiple-Standard Matching for Video Object | segmentation | With Language Annotation |
| State-Aware Tracker for Real-Time Video Object | segmentation | |
| State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic | segmentation | and Post-Processing with Conditional Generative Learning |
| Static SMC Sampler on Shapes for the Automated | segmentation | of Aortic Calcifications, A |
| Stationary Signal Separation Using Multichannel Local | segmentation | |
| Statistical 3-D object localization without | segmentation | using wavelet analysis |
| statistical active contour model for SAR image | segmentation | , A |
| Statistical active grid for | segmentation | refinement |
| Statistical analysis of manual | segmentation | s of structures in medical images |
| Statistical approach to | segmentation | of single-channel cerebral MR images |
| Statistical Assembled Model for | segmentation | of Entire 3D Vasculature, A |
| Statistical atlas-based sub-voxel | segmentation | of 3d brain MRI |
| Statistical classification and | segmentation | of biomolecular surfaces |
| Statistical Cues for Domain Specific Image | segmentation | with Performance Analysis |
| Statistical Deformable Model-Based | segmentation | of Image Motion |
| Statistical Framework for Shot | segmentation | and Classification in Sports Video |
| Statistical Hypothesis Testing for Handwritten Word | segmentation | Algorithms |
| Statistical Image | segmentation | |
| Statistical Interspace Models (SIMs): Application to Robust 3D Spine | segmentation | |
| Statistical Level Set Framework for | segmentation | of Left Ventricle, A |
| statistical method for display and | segmentation | of 3D image data, A |
| Statistical Method for Semantic | segmentation | of Dominant Plane from Remote Exploration Image Sequence |
| Statistical Model of Shape Moments with Active Contour Evolution for Shape Detection and | segmentation | |
| Statistical Model-Based | segmentation | of Deformable Motion |
| Statistical model-based video | segmentation | and its application to very low bit-rate video coding |
| Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String | segmentation | |
| Statistical Modeling Based Adaptive Parameter Setting for Random Walk | segmentation | |
| Statistical Models of Signal and Noise and Fundamental Limits of | segmentation | Accuracy in Retinal Optical Coherence Tomography |
| Statistical Multiscale Image | segmentation | via Alpha-Stable Modeling |
| Statistical Multisensor Image | segmentation | in Complex Wavelet Domains |
| Statistical Overlap Prior for Variational Image | segmentation | , A |
| Statistical Pixel Intensity Model for | segmentation | of Confocal Laser Scanning Microscopy Images, A |
| Statistical region based active contour using a fractional entropy descriptor: Application to nuclei cell | segmentation | in confocal microscopy images |
| Statistical Region Snake-Based | segmentation | Adapted to Different Physical Noise Models |
| Statistical region-based active contour using optimization of alpha-divergence family for image | segmentation | |
| Statistical | segmentation | and structural recognition for floor plan interpretation |
| Statistical Shape and Probability Prior Model for Automatic Prostate | segmentation | |
| Statistical Shape Knowledge in Variational Image | segmentation | |
| Statistical Shape Knowledge in Variational Motion | segmentation | |
| Statistical Shape Model of Legendre Moments with Active Contour Evolution for Shape Detection and | segmentation | |
| Statistical Shape Model with Random Walks for Inner Ear | segmentation | |
| Statistical Significance Based Graph Cut | segmentation | for Shrinking Bias |
| Statistical solution to watershed over- | segmentation | |
| Statistical-based Approach to Word | segmentation | |
| Statistical-Based | segmentation | of Bone Structures via Continuous Max-Flow Optimization |
| Statistical-Based Tracking Technique for Linear Structures Detection: Application to Vessel | segmentation | in Medical Images |
| statistically based flow for image | segmentation | , A |
| Statistically consistent image | segmentation | |
| STC: A Simple to Complex Framework for Weakly-Supervised Semantic | segmentation | |
| Stc: Spatio-temporal Contrastive Learning for Video Instance | segmentation | |
| STD2P: RGBD Semantic | segmentation | Using Spatio-Temporal Data-Driven Pooling |
| STDBNet: Shared Trunk and Dual-Branch Network for Real-Time Semantic | segmentation | |
| STDC-MA network for semantic | segmentation | |
| Steerable Pyramid Based Complex Documents Images | segmentation | |
| Steerable Semi-automatic | segmentation | of Textured Images |
| Stel Component Analysis: Joint | segmentation | , Modeling and Recognition of Objects Classes |
| Stem cell microscopic image | segmentation | using supervised normalized cuts |
| Stem-Leaf | segmentation | and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data |
| STEm-Seg: Spatio-temporal Embeddings for Instance | segmentation | in Videos |
| Step-wise integration of deep class-specific learning for dermoscopic image | segmentation | |
| Step-Wise Optimization for Hierarchical Picture | segmentation | |
| Stepwise Recovery of Arc | segmentation | in Complex Line Environments |
| Stereo Cloud Heights From Multispectral IR Imagery via Region-of-Interest | segmentation | |
| Stereo for Image-Based Rendering using Image Over- | segmentation | |
| Stereo Matching Algorithm Based on Image | segmentation | and Features Point, A |
| Stereo matching algorithm based on per pixel difference adjustment, iterative guided filter and graph | segmentation | |
| Stereo Matching Using Sub- | segmentation | and Robust Higher-Order Graph Cut |
| Stereo Matching with | segmentation | -Based Cooperation |
| Stereo reconstruction with mixed pixels using adaptive over- | segmentation | |
| Stereo Superpixel | segmentation | via Decoupled Dynamic Spatial-Embedding Fusion Network |
| Stereo Video Object | segmentation | Using Stereoscopic Foreground Trajectories |
| Stereo vision and | segmentation | |
| Stereo-Based Object | segmentation | Combining Spatio-Temporal Information |
| Stereoscopic | segmentation | |
| Stereovision-Based Object | segmentation | for Automotive Applications |
| STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic | segmentation | of Street Scenes |
| Still image compression method based on adaptive block | segmentation | vector quantization technique |
| Stimulus-Driven | segmentation | By Gaussian Functions |
| StixelNet: A Deep Convolutional Network for Obstacle Detection and Road | segmentation | |
| Stochastic active contour for cardiac MR image | segmentation | |
| Stochastic Algorithm for 3D Scene | segmentation | and Reconstruction, A |
| Stochastic and Deterministic Networks for Texture | segmentation | |
| stochastic approach for automated brain MRI | segmentation | , A |
| Stochastic Diffusion for Correspondence Estimation and Objects | segmentation | |
| Stochastic Dynamical System for Image | segmentation | , A |
| Stochastic human | segmentation | from a static camera |
| Stochastic image | segmentation | by combining region and edge cues |
| Stochastic Image | segmentation | by Typical Cuts |
| Stochastic Image | segmentation | Using Spatial-Temporal Context |
| Stochastic Model Based Technique for Texture | segmentation | , A |
| Stochastic Relaxation on Partitions with Connected Components and Its Application to Image | segmentation | |
| Stochastic resonance aided robust techniques for | segmentation | of medical ultrasound images |
| Stochastic | segmentation | of Blood Vessels from Time-Of-Flight |
| Stochastic | segmentation | of Ultrasound Images |
| Stochastic | segmentation | with Conditional Categorical Diffusion Models |
| Stone-by-stone | segmentation | for Monitoring Large Historical Monuments Using Deep Neural Networks |
| Story | segmentation | in News Videos Using Visual and Text Cues |
| Story | segmentation | in TV news broadcast |
| Story Unit | segmentation | with Friendly Acoustic Perception |
| Strategies for image | segmentation | combining region and boundary information |
| Strategy of Parallel Seed-Based Image | segmentation | Algorithms for Handling Massive Image Tiles over the Spark Platform, A |
| Stratified Sampling Voxel Classification for | segmentation | of Intraretinal and Subretinal Fluid in Longitudinal Clinical OCT Data |
| Stratified Transformer for 3D Point Cloud | segmentation | |
| Streaming Hierarchical Video | segmentation | |
| Streaming spatio-temporal video | segmentation | using Gaussian Mixture Model |
| Streaming video object | segmentation | with the adaptive coherence factor |
| Streaming Video | segmentation | via Short-Term Hierarchical Segmentation and Frame-by-Frame Markov Random Field Optimization |
| Streaming Video | segmentation | via Short-Term Hierarchical Segmentation and Frame-by-Frame Markov Random Field Optimization |
| Street-Map Based Validation of Semantic | segmentation | in Autonomous Driving |
| Street-Scene Tree | segmentation | from Mobile Laser Scanning Data |
| Strengths and Pitfalls of Whole-Heart Atlas-Based | segmentation | in Congenital Heart Disease Patients |
| Strip Histogram Grid for efficient LIDAR | segmentation | from urban environments |
| Stroke | segmentation | and Recognition from Bangla Online Handwritten Text |
| Stroke | segmentation | by Bernstein-Bezier Curve Fitting |
| Stroke | segmentation | in Infrared Reflectograms |
| Stroke | segmentation | of Chinese Characters Using Markov Random Fields |
| Stroke-Based Character | segmentation | of Low-Quality Images on Ancient Chinese Tablet |
| Stromule branch tip detection based on accurate cell image | segmentation | |
| Strong Baseline for Generalized Few-Shot Semantic | segmentation | , A |
| Strong image | segmentation | from a data-driven perspective: impossible? |
| StructToken: Rethinking Semantic | segmentation | With Structural Prior |
| Structural and Statistical Texture Knowledge Distillation for Semantic | segmentation | |
| Structural Damage Assessments from Ikonos Data Using Change Detection, Object-Oriented | segmentation | , and Classification Techniques |
| Structural Image | segmentation | with Interactive Model Generation |
| Structural information implant in a context based | segmentation | -free HMM handwritten word recognition system for Latin and Bangla script |
| Structural Motion | segmentation | Based on Probabilistic Clustering |
| Structural Performance Evaluation of Curvilinear Structure Detection Algorithms with Application to Retinal Vessel | segmentation | |
| Structural Priors Guided Network for the Corneal Endothelial Cell | segmentation | |
| Structural | segmentation | and classification of mobile laser scanning point clouds with large variations in point density |
| Structural SVM with Partial Ranking for Activity | segmentation | and Classification |
| Structural Texture | segmentation | using Affine Symmetry |
| Structural Texture | segmentation | Using Irregular Pyramid |
| Structural-Analysis of Arabic Handwriting: | segmentation | and Recognition |
| Structure Boundary Preserving | segmentation | for Medical Image With Ambiguous Boundary |
| Structure Constraint Matrix Factorization Framework for Human Behavior | segmentation | , A |
| Structure Fusion for Automatic | segmentation | of Left Atrial Aneurysm Based on Deep Residual Networks |
| Structure Prediction for Gland | segmentation | With Hand-Crafted and Deep Convolutional Features |
| Structure Preserving Noise Filtering of Images Using Explicit Local | segmentation | |
| Structure preserving semantic coherent object | segmentation | |
| Structure Specific Atlas Generation and Its Application to Pancreas | segmentation | from Contrasted Abdominal CT Volumes |
| Structure Tensor Based Voronoi Decomposition Technique for Optic Cup | segmentation | , A |
| Structure-Aware Convolution for 3D Point Cloud Classification and | segmentation | |
| Structure-Aware Relation Network for Thoracic Diseases Detection and | segmentation | , A |
| Structure-based level set method for automatic retinal vasculature | segmentation | |
| Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac | segmentation | |
| Structure-Guided Cross-Attention Network for Cross-Domain OCT Fluid | segmentation | |
| Structure-Guided | segmentation | for 3D Neuron Reconstruction |
| Structure-keeping Colour | segmentation | of Tree Crowns in Aerial Images |
| Structure-Preserving | segmentation | of Individual Tree Crowns by Brownian Motion |
| Structured Approach to | segmentation | of Aerial Photographs, A |
| Structured Attention Network for Referring Image | segmentation | |
| Structured Binary Neural Networks for Accurate Image Classification and Semantic | segmentation | |
| Structured Deep-Learning Based Approach for the Automated | segmentation | of Human Leg Muscle from 3D MRI, A |
| Structured Image | segmentation | Using Kernelized Features |
| Structured Knowledge Distillation for Semantic | segmentation | |
| Structured learning for crowd motion | segmentation | |
| Structured Pointcloud | segmentation | for Individual Mangrove Tree Modeling |
| Structured Time Series Analysis for Human Action | segmentation | and Recognition |
| Structuring Soccer Video Based on Audio Classification and | segmentation | Using Hidden Markov Model |
| Studies in Image | segmentation | Algorithms Based on Histogram Clustering and Relaxation |
| Studies in Using Image | segmentation | to Improve Object Recognition |
| Study of a Convex Variational Diffusion Approach for Image | segmentation | and Feature-Extraction, A |
| study of contextual modeling and texture craracterization for multiscale bayesian | segmentation | , A |
| Study of Dempster-Shafer theory for image | segmentation | applications |
| study of Gaussian mixture models of color and texture features for image classification and | segmentation | , A |
| study of lesion skin | segmentation | , features selection and classification approaches, A |
| Study of Observation Scales Based on Felzenswalb-Huttenlocher Dissimilarity Measure for Hierarchical | segmentation | , A |
| study of relative phase in complex wavelet domain: Property, statistics and applications in texture image retrieval and | segmentation | , A |
| Study of Remote Sensing Imagery Parallel | segmentation | Based on Block and Processing Chain Strategy |
| Study of RobustNet, a Domain Generalization Method for Semantic | segmentation | , A |
| study of symbol | segmentation | method for handwritten mathematical formula recognition using mathematical structure information, A |
| study on differential evolution and cellular differential evolution for multilevel color image | segmentation | , A |
| Study on Effective | segmentation | Network in MRI Images for Diagnosis of Brain Tumor, A |
| Study on | segmentation | and interpretation of multi-look polarimetric SAR images |
| Study on the Effect of Multispectral LiDAR Data on Automated Semantic | segmentation | of 3D-Point Clouds, A |
| Style Consistent Image Generation for Nuclei Instance | segmentation | |
| Style Projected Clustering for Domain Generalized Semantic | segmentation | |
| Style Transfer based Coronary Artery | segmentation | in X-ray Angiogram |
| Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic | segmentation | |
| Sub-Markov Random Walk for Image | segmentation | |
| Sub-pixel | segmentation | with the Image Foresting Transform |
| Sub-scene | segmentation | using constraints based on Gestalt principles |
| Subaperture image | segmentation | for lossless compression |
| Subcutaneous Adipose Tissue | segmentation | in Whole-Body MRI of Children |
| Subdivided Mask Dispersion Framework for semi-supervised semantic | segmentation | |
| Subject Region | segmentation | in Disparity Maps for Image Retrieval |
| Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI | segmentation | |
| Subject-Specific Cardiac | segmentation | Based on Reinforcement Learning with Shape Instantiation |
| Subject-Specific prior shape knowledge in feature-oriented probability maps for fully automatized liver | segmentation | in MR volume data |
| Subjective Method for Image | segmentation | Evaluation, A |
| Submodular Trajectories for Better Motion | segmentation | in Videos |
| Submodular video object proposal selection for semantic object | segmentation | |
| Subsampling strategies to improve learning-based retina vessel | segmentation | |
| Subsampling-based acceleration of simple linear iterative clustering for superpixel | segmentation | |
| Subspace and motion | segmentation | via local subspace estimation |
| Subspace Clustering via Adaptive Non-Negative Representation Learning and Its Application to Image | segmentation | |
| Subspace | segmentation | Based Metric Learning |
| Subspace | segmentation | by Correlation Adaptive Regression |
| Subspace | segmentation | with a large number of subspaces using infinity norm minimization |
| Subspace | segmentation | with a Minimal Squared Frobenius Norm Representation |
| Subspace | segmentation | with outliers: A grassmannian approach to the maximum consensus subspace |
| Suitability Metric for Mouth Tracking Through Chromatic | segmentation | , A |
| Super-BPD: Super Boundary-to-Pixel Direction for Fast Image | segmentation | |
| Super-pixel based crowd flow | segmentation | in H.264 compressed videos |
| Super-pixel image | segmentation | algorithm based on adaptive equalisation feature parameters |
| Super-Resolution Semantic | segmentation | with Relation Calibrating Network |
| Super-Trajectory for Video | segmentation | |
| Superadditivity and Convex Optimization for Globally Optimal Cell | segmentation | Using Deformable Shape Models |
| SUPERCUT: An accurate and effective interactive image | segmentation | algorithm |
| Superframes, A Temporal Video | segmentation | |
| SuperLine3D: Self-supervised Line | segmentation | and Description for LiDAR Point Cloud |
| Superpixel and Entropy-Based Multi-atlas Fusion Framework for the | segmentation | of X-ray Images |
| Superpixel and Supervoxel | segmentation | Assessment of Landslides Using UAV-Derived Models |
| Superpixel Based Hierarchical | segmentation | for Color Image |
| Superpixel Classification Based Optic Disc and Optic Cup | segmentation | for Glaucoma Screening |
| Superpixel Classification Based Optic Disc | segmentation | |
| Superpixel Coherency and Uncertainty Models for Semantic | segmentation | |
| Superpixel Convolution for | segmentation | |
| Superpixel Labeling Priors and MRF for Aerial Video | segmentation | |
| Superpixel | segmentation | algorithm based on local network modularity increment |
| Superpixel | segmentation | Based on Global Similarity and Contour Region Transform |
| Superpixel | segmentation | Based on Square-Wise Asymmetric Partition and Structural Approximation |
| Superpixel | segmentation | for Polsar Images Based on Hexagon Initialization and Edge Refinement |
| Superpixel | segmentation | Methods on Stereo Fundus Images and Disparity Map for Glaucoma Detection |
| Superpixel | segmentation | of Polarimetric Synthetic Aperture Radar (SAR) Images Based on Generalized Mean Shift |
| Superpixel | segmentation | Using Dynamic and Iterative Spanning Forest |
| Superpixel | segmentation | Using Gaussian Mixture Model |
| Superpixel | segmentation | using Linear Spectral Clustering |
| Superpixel | segmentation | With Fully Convolutional Networks |
| Superpixel | segmentation | : A benchmark |
| Superpixel | segmentation | : An Evaluation |
| Superpixel-Based Attention Graph Neural Network for Semantic | segmentation | in Aerial Images |
| Superpixel-based class-semantic texton occurrences for natural roadside vegetation | segmentation | |
| Superpixel-Based Roughness Measure for Multispectral Satellite Image | segmentation | |
| Superpixel-Based | segmentation | for 3D Prostate MR Images |
| Superpixel-based | segmentation | of moving objects for low bitrate ROI coding systems |
| Superpixel-Based | segmentation | of Polarimetric SAR Images through Two-Stage Merging |
| Superpixel-Based Shallow Convolutional Neural Network (SSCNN) for Scanned Topographic Map | segmentation | |
| Superpixel-Based Tracking-by- | segmentation | Using Markov Chains |
| Superpixel-based video object | segmentation | using perceptual organization and location prior |
| Superpixel-enhanced deep neural forest for remote sensing image semantic | segmentation | |
| Superpixel-Enhanced Pairwise Conditional Random Field for Semantic | segmentation | |
| Superpixels using morphology for rock image | segmentation | |
| Superquadric | segmentation | in Range Images via Fusion of Region and Boundary Information |
| Supertexton-based | segmentation | in early Drosophila oogenesis |
| Supervised and forest type-specific multi-scale | segmentation | for a one-level-representation of single trees |
| Supervised and transductive multi-class | segmentation | using p-Laplacians and RKHS methods |
| Supervised Approach for Multiple Sclerosis Lesion | segmentation | Using Context Features and an Outlier Map, A |
| supervised approach for simultaneous | segmentation | and classification of remote sensing images, A |
| supervised approach to the evaluation of image | segmentation | methods, A |
| Supervised Assessment of | segmentation | Hierarchies |
| Supervised Edge Attention Network for Accurate Image Instance | segmentation | |
| Supervised Evaluation of Image | segmentation | and Object Proposal Techniques |
| Supervised Framework for the Registration and | segmentation | of White Matter Fiber Tracts, A |
| Supervised hierarchical Pitman-Yor process for natural scene | segmentation | |
| Supervised Image | segmentation | across Scanner Protocols: A Transfer Learning Approach |
| Supervised image | segmentation | based on superpixel and improved normalised cuts |
| Supervised image | segmentation | using watershed transform, fuzzy classification and evolutionary computation |
| Supervised image | segmentation | via ground truth decomposition |
| Supervised Label Transfer for Semantic | segmentation | of Street Scenes |
| Supervised Learning Framework for Automatic Prostate | segmentation | in Trans Rectal Ultrasound Images, A |
| Supervised Learning of Hierarchical Image | segmentation | |
| Supervised Local Subspace Learning for Region | segmentation | and Categorization in High-Resolution Satellite Images |
| Supervised methods for perfect | segmentation | in medical images |
| Supervised multispectral image | segmentation | with power watersheds |
| Supervised Object | segmentation | and Tracking for MPEG-4 VOP Generation |
| Supervised quality evaluation of binary partition trees for object | segmentation | |
| Supervised Scale-Invariant | segmentation | (and Detection) |
| Supervised | segmentation | and Tracking of Nonrigid Objects Using a Mixture of Histograms Model |
| Supervised | segmentation | Based on Texture Signatures Extracted in the Frequency Domain |
| Supervised | segmentation | by iterated contextual pixel classification |
| Supervised | segmentation | by Pairwise Interactions: Do Gibbs Models Learn What We Expect? |
| Supervised | segmentation | Network for Hyperspectral Image Classification, A |
| Supervised | segmentation | of NO2 Plumes from Individual Ships Using TROPOMI Satellite Data |
| Supervised | segmentation | of remote sensing images based on a tree-structured MRF model |
| Supervised | segmentation | of textures in backscatter images |
| Supervised | segmentation | of Ultra-High-Density Drone Lidar for Large-Area Mapping of Individual Trees |
| Supervised | segmentation | of Un-Annotated Retinal Fundus Images by Synthesis |
| Supervised | segmentation | of Volume Textures Using 3D Probabilistic Relaxation |
| Supervised | segmentation | Using a Multiresolution Data Representation |
| Supervised Texture | segmentation | by Maximising Conditional Likelihood |
| Supervised texture | segmentation | through a multi-level pixel-based classifier based on specifically designed filters |
| Supervised texture | segmentation | using 2D LSTM networks |
| Supervised Texture | segmentation | Using DWT and a Modified K-nn Classifier |
| Supervised Textured Image | segmentation | Using Feature Smoothing and Probabilistic Relaxation Techniques |
| Supervoxel-based Multi-scale Point Cloud | segmentation | Using Fnea For Object-Oriented Rock Slope Classification Using Tls |
| Supervoxel-Based | segmentation | of 3D Volumetric Images |
| Supervoxel-Based | segmentation | of Mitochondria in EM Image Stacks With Learned Shape Features |
| Supervoxel-Based Solution to Resume | segmentation | for Interactive Correction by Differential Image-Foresting Transforms, A |
| SUPRA: Superpixel Guided Loss for Improved Multi-modal | segmentation | in Endoscopy |
| Surface and Volumetric | segmentation | of Complex 3D Objects Using Parametric Shape Models |
| Surface and Volumetric | segmentation | of Range Images Using Biquadrics and Superquadrics |
| Surface Approximation and | segmentation | of Objects with Unknown Topology |
| Surface Layout Estimation Using Multiple | segmentation | Methods and 3D Reasoning |
| Surface Material Dataset for Robotics Applications (SMDRA): A Dataset with Friction Coefficient and RGB-D for Surface | segmentation | |
| Surface reflectance estimation and | segmentation | from single depth image of ToF camera |
| Surface | segmentation | and Description from Curvature Features |
| Surface | segmentation | and environment change analysis using band ratio phenology index method- supervised aspect |
| Surface | segmentation | and Modelling of 3-D Polygonal Objects from Stereoscopic Image Pairs |
| Surface | segmentation | based on perceptual grouping |
| Surface | segmentation | from stereo |
| Surface | segmentation | through Concentrated Curvature |
| Surface | segmentation | using a modified ball-pivoting algorithm |
| Surface | segmentation | using geodesic centroidal tesselation |
| Surface stereo with soft | segmentation | |
| Surface-SOS: Self-Supervised Object | segmentation | via Neural Surface Representation |
| SurgNet: Self-Supervised Pretraining With Semantic Consistency for Vessel and Instrument | segmentation | in Surgical Images |
| surprising impact of mask-head architecture on novel class | segmentation | , The |
| Survey and Evaluation of FLIR Target Detection/ | segmentation | Algorithms, A |
| survey of graph theoretical approaches to image | segmentation | , A |
| Survey of Methods and Strategies in Character | segmentation | , A |
| survey of shaped-based registration and | segmentation | techniques for cardiac images, A |
| Survey of Vision-Based Methods for Action Representation, | segmentation | and Recognition, A |
| survey on Arabic character | segmentation | , A |
| Survey on brain tumor | segmentation | and feature extraction of MR images |
| survey on curvilinear object | segmentation | in multiple applications, A |
| Survey on Deep Learning Technique for Video | segmentation | , A |
| Survey on Evaluation Methods for Image | segmentation | , A |
| Survey on fast dense video | segmentation | techniques |
| survey on Image | segmentation | , A |
| survey on instance | segmentation | : state of the art, A |
| Survey on Label-Efficient Deep Image | segmentation | : Bridging the Gap Between Weak Supervision and Dense Prediction, A |
| Survey on the Deployability of Semantic | segmentation | Networks for Fluvial Navigation, A |
| survey on weakly supervised 3D point cloud semantic | segmentation | , A |
| Survey, Comparison, Evaluation, of | segmentation | and Cut Detection, Summarization |
| Survival Analysis based on Lung Tumor | segmentation | using Global Context-aware Transformer in Multimodality |
| Suspicious-Region | segmentation | From Breast Thermogram Using DLPE-Based Level Set Method |
| SVASeg: Sparse Voxel-Based Attention for 3D LiDAR Point Cloud Semantic | segmentation | |
| SVBS: A High Resolution Medical Image Compression Algorithm Using Slicing with Variable Block Size | segmentation | |
| SVCV: | segmentation | volume combined with cost volume for stereo matching |
| SVLA: A compact supervoxel | segmentation | method based on local allocation |
| SVM approximation for real-time image | segmentation | by using an improved hyperrectangles-based method |
| SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic | segmentation | |
| SWEM: Towards Real-Time Video Object | segmentation | with Sequential Weighted Expectation-Maximization |
| SwiftNet: Real-time Video Object | segmentation | |
| Swin-unet: Unet-like Pure Transformer for Medical Image | segmentation | |
| SwipeCut: Interactive | segmentation | via Seed Grouping |
| Switch and Refine: A Long-Term Tracking and | segmentation | Framework |
| Switching-based clustering algorithms for | segmentation | of low-level salt-and-pepper noise-corrupted images |
| Symbiotic | segmentation | and Part Localization for Fine-Grained Categorization |
| Symbolic fusion of hue-chroma-intensity features for region | segmentation | |
| Symbolic fusion of luminance-hue-chroma features for region | segmentation | |
| Symmetry integrated region-based image | segmentation | |
| SymmSLIC: Symmetry Aware Superpixel | segmentation | |
| Syncing Shared Multimedia through Audiovisual Bimodal | segmentation | |
| SyncSpecCNN: Synchronized Spectral CNN for 3D Shape | segmentation | |
| SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic | segmentation | for Autonomous Driving |
| Synergistic arc-weight estimation for interactive image | segmentation | using graphs |
| Synergistic Attention for Ship Instance | segmentation | in SAR Images |
| Synergistic learning of lung lobe | segmentation | and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images |
| Synergy between Object Recognition and Image | segmentation | Using the Expectation-Maximization Algorithm |
| SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image | segmentation | |
| SynSeg-Net: Synthetic | segmentation | Without Target Modality Ground Truth |
| Syntactic Algorithms for Image | segmentation | and a Special Computer Architecture for Image Processing |
| Syntactic algorithms for image | segmentation | and a special computer architecture for image processing |
| Syntactic Method for Image | segmentation | and Object Recognition, A |
| Syntactic Methods for Region | segmentation | |
| Syntatic | segmentation | and Labeling of Digitized Pages from Technical Journals |
| Synthesis in Style: Semantic | segmentation | of Historical Documents using Synthetic Data |
| Synthesize Then Compare: Detecting Failures and Anomalies for Semantic | segmentation | |
| Synthesized Image Datasets: Towards an Annotation-Free Instance | segmentation | Strategy |
| Synthetic Aperture Radar Image | segmentation | by Modified Student's t-Mixture Model |
| Synthetic aperture radar image | segmentation | using fuzzy label field-based triplet Markov fields model |
| Synthetic aperture radar image | segmentation | using non-linear diffusion-based hierarchical triplet Markov fields model |
| Synthetic Aperture Radar Image | segmentation | with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model |
| Synthetic Aperture Radar Radio Frequency Interference Suppression Method Based on Fusing | segmentation | and Inpainting Networks |
| Synthetic Data for Defect | segmentation | on Complex Metal Surfaces |
| Synthetic Data for Sentinel-2 Semantic | segmentation | |
| synthetic database to assess | segmentation | algorithms, A |
| SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic | segmentation | of Urban Scenes, The |
| Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building | segmentation | , The |
| System and method for incorporating | segmentation | boundaries into the calculation of fractal dimension features for texture discrimination |
| System for automatic video | segmentation | and key frame extraction for video sequences having both sharp and gradual transitions |
| system for performance evaluation of arc | segmentation | algorithms, A |
| System for | segmentation | and Recognition of Totally Unconstrained Handwritten Numeral Strings, A |
| System for the automated | segmentation | of heads from arbitrary background |
| system for the automatic layout | segmentation | and classification of digital documents, A |
| systematic method for fingerprint ridge orientation estimation and image | segmentation | , A |
| Systematic study of color spaces and components for the | segmentation | of sky/cloud images |
| Systematic Way for Region-Based Image | segmentation | Based on Markov Random-Field Model, A |
| Systolic array implementation of image | segmentation | by a directed split and merge procedure |
| Szemeredi's Regularity Lemma and Its Applications to Pairwise Clustering and | segmentation | |
| T-AutoML: Automated Machine Learning for Lesion | segmentation | using Transformers in 3D Medical Imaging |
| T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image | segmentation | |
| T-Test Based Adaptive Random Walk | segmentation | Under Multiplicative Speckle Noise Model |
| TA-Net: Topology-Aware Network for Gland | segmentation | |
| Table Image | segmentation | |
| Table | segmentation | , Extract Tables or Forms, General |
| Tackling Background Distraction in Video Object | segmentation | |
| TACS: Taxonomy Adaptive Cross-Domain Semantic | segmentation | |
| TACT: Text attention based CNN-Transformer network for polyp | segmentation | |
| Tag-Based Attention Guided Bottom-Up Approach for Video Instance | segmentation | |
| Tagging Webcast Text in Baseball Videos by Video | segmentation | and Text Alignment |
| TAGNet: Learning Configurable Context Pathways for Semantic | segmentation | |
| Tailored Features for Semantic | segmentation | with A DGCNN Using Free Training Samples of A Colored Airborne Point Cloud |
| Tamper video detection and localization using an adaptive | segmentation | and deep network technique |
| TapLab: A Fast Framework for Semantic Video | segmentation | Tapping Into Compressed-Domain Knowledge |
| Target Detection and | segmentation | in Coherent Active Polarimetric Images |
| Target Detection and Texture | segmentation | in Polarimetric SAR Images Using a Wavelet Frame: Theoretical Aspects |
| Target Detection Through Robust Motion | segmentation | and Tracking Restrictions in Aerial FLIR Images |
| Target region extraction and | segmentation | algorithm for reflective tomography Lidar image |
| Target | segmentation | and event detection at video-rate: The EAGLE project |
| Target | segmentation | in Scenes with Diverse Background |
| Target | segmentation | of industrial smoke image based on LBP Silhouettes coefficient variant (LBPSCV) algorithm |
| Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object | segmentation | |
| Target/Background | segmentation | and Classification in FLIR Imagery |
| TarViS: A Unified Approach for Target-Based Video | segmentation | |
| Task Decomposition and Synchronization for Semantic Biomedical Image | segmentation | |
| Task-based parameter isolation for foreground | segmentation | without catastrophic forgetting using multi-scale region and edges fusion network |
| Task-directed evaluation of image | segmentation | methods |
| Task-Specific Loss for Robust Instance | segmentation | With Noisy Class Labels |
| TASOCNN: a topology adaptive self-organizing circular neural network and its application to color | segmentation | |
| Taxonomy and | segmentation | of Textured Images |
| TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease | segmentation | |
| TCOVIS: Temporally Consistent Online Video Instance | segmentation | |
| Td-VOS: Tracking-Driven Single-Object Video Object | segmentation | |
| Tea Sprouts | segmentation | via Improved Deep Convolutional Encoder-Decoder Network |
| Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic | segmentation | , A |
| Technique for | segmentation | of Gurmukhi Text, A |
| Technique for Simultaneous Visualization and | segmentation | of Hyperspectral Data, A |
| Techniques for Image Classification, Object Detection and Object | segmentation | |
| Techniques for Model Guided | segmentation | , Context in Segmentation |
| Techniques for Model Guided | segmentation | , Context in Segmentation |
| Techniques for the | segmentation | of Striation Patterns |
| Teeth | segmentation | in 3D dentition models for the virtual articulator |
| Template Based Gibbs Probability Distributions for Texture Modeling and | segmentation | |
| Template Based | segmentation | of Touching Components in Handwritten Text Lines |
| Template matching used in time contextual | segmentation | |
| Template patch driven image | segmentation | |
| Template-Based Automatic Search of Compact Semantic | segmentation | Architectures |
| Template-based Automatic | segmentation | of Masseter Using Prior Knowledge |
| TempNet: Online Semantic | segmentation | on Large-scale Point Cloud Series |
| Temporal Action Co- | segmentation | in 3D Motion Capture Data and Videos |
| Temporal Action | segmentation | from Timestamp Supervision |
| Temporal Action | segmentation | With High-Level Complex Activity Labels |
| Temporal Action | segmentation | : An Analysis of Modern Techniques |
| Temporal Archetypal Analysis for Action | segmentation | |
| Temporal Collection and Distribution for Referring Video Object | segmentation | |
| Temporal consistent portrait video | segmentation | |
| Temporal Context Enhanced Referring Video Object | segmentation | |
| Temporal Convolutional Networks for Action | segmentation | and Detection |
| Temporal Convolutional Networks: A Unified Approach to Action | segmentation | |
| Temporal Deformable Residual Networks for Action | segmentation | in Videos |
| Temporal Feature Augmented Network for Video Instance | segmentation | |
| Temporal Feature Matching and Propagation for Semantic | segmentation | on 3D Point Cloud Sequences |
| Temporal Hierarchical Dictionary Guided Decoding for Online Gesture | segmentation | and Recognition |
| Temporal Localization and Spatial | segmentation | of Joint Attention in Multiple First-Person Videos |
| Temporal Memory Attention for Video Semantic | segmentation | |
| Temporal motion recognition and | segmentation | approach |
| Temporal prediction of video sequences using an image warping technique based on color | segmentation | |
| Temporal | segmentation | and activity classification from first-person sensing |
| Temporal | segmentation | and assignment of successive actions in a long-term video |
| Temporal | segmentation | and recognition of team activities in sports |
| Temporal | segmentation | and Seamless Stitching of Motion Patterns for Synthesizing Novel Animations of Periodic Dances |
| Temporal | segmentation | and Selective Attention in the Stochastic Oscillator Neural Network |
| Temporal | segmentation | in multi agent path finding with applications to explainability |
| Temporal | segmentation | of 3-D Video by Histogram-Based Feature Vectors |
| Temporal | segmentation | of Digital Colposcopies |
| Temporal | segmentation | of Egocentric Videos |
| Temporal | segmentation | of Egocentric Videos to Highlight Personal Locations of Interest |
| Temporal | segmentation | of Facial Behavior |
| Temporal | segmentation | of MPEG Video Streams |
| Temporal | segmentation | of Tasks from Human Hand Motion |
| Temporal | segmentation | of Video Objects for Hierarchical Object-Based Motion Description |
| Temporal | segmentation | of Video Using Frame and Histogram-space |
| Temporal Semantic Motion | segmentation | Using Spatio Temporal Optimization |
| Temporal stabilization of Video Object | segmentation | for 3D-TV applications |
| Temporal Subspace Clustering for Human Motion | segmentation | |
| Temporal video | segmentation | and classification of edit effects |
| Temporal Video | segmentation | to Scenes Using High-Level Audiovisual Features |
| Temporal video | segmentation | using a switched affine models identification technique |
| Temporal video | segmentation | using global motion estimation and discrete curve evolution |
| Temporal video | segmentation | : A survey |
| Temporally Coherent 3D Point Cloud Video | segmentation | in Generic Scenes |
| Temporally coherent | segmentation | of 3D reconstructions |
| Temporally consistent multi-class video-object | segmentation | with the Video Graph-Shifts algorithm |
| Temporally Consistent Semantic | segmentation | using Spatially Aware Multi-view Semantic Fusion for Indoor RGB-D videos |
| Temporally Distributed Networks for Fast Video Semantic | segmentation | |
| Temporally Efficient Vision Transformer for Video Instance | segmentation | |
| Temporally Object-Based Video Co- | segmentation | |
| Temporally stable video | segmentation | without video annotations |
| Temporally-Consistent Video Semantic | segmentation | with Bidirectional Occlusion-guided Feature Propagation |
| Temporally-Dependent Dirichlet Process Mixtures for Egocentric Video | segmentation | |
| Temporally-Weighted Hierarchical Clustering for Unsupervised Action | segmentation | |
| Tennis Player | segmentation | for Semantic Behavior Analysis |
| Tensor Decomposition for Geometric Grouping and | segmentation | , A |
| Tensor Field Graph-Cut for Image | segmentation | : A Non-Convex Perspective |
| Tensor Field | segmentation | Using Region Based Active Contour Model |
| Tensor Low-rank Reconstruction for Semantic | segmentation | |
| Tensor Processing for Texture and Colour | segmentation | |
| Tensor Splines for Interpolation and Approximation of DT-MRI With Applications to | segmentation | of Isolated Rat Hippocampi |
| tensor voting approach for the hierarchical | segmentation | of 3-D acoustic images, A |
| Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene | segmentation | |
| Tensor-driven Active Contour Model for Moving Object | segmentation | , A |
| TensorMask: A Foundation for Dense Object | segmentation | |
| TensorMixup Data Augmentation Method for Fully Automatic Brain Tumor | segmentation | |
| Terahertz image | segmentation | based on K-harmonic-means clustering and statistical feature extraction modeling |
| TernausNetV2: Fully Convolutional Network for Instance | segmentation | |
| Terrain | segmentation | of Egypt from Multi-Temporal Night LST Imagery and Elevation Data |
| Terrain | segmentation | Using a U-Net for Improved Relief Shading |
| Test-Bed for Region-Based Image Retrieval Using Multiple | segmentation | Algorithms and the MPEG-7 eXperimentation Model: The Schema Reference System, A |
| Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance | segmentation | using Keypoints Estimation |
| TeTrIS: Template Transformer Networks for Image | segmentation | With Shape Priors |
| Texel-based texture | segmentation | |
| Text and non-text | segmentation | based on connected component features |
| Text and picture | segmentation | by the distribution analysis of wavelet coefficients |
| Text Block | segmentation | in Comic Speech Bubbles |
| Text detection in scene images based on exhaustive | segmentation | |
| Text Driven Temporal | segmentation | of Cricket Videos |
| Text Extraction and Document Image | segmentation | Using Matched Wavelets and MRF Model |
| Text extraction from web images based on a split-and-merge | segmentation | method using colour perception |
| Text line and word | segmentation | of handwritten documents |
| Text line | segmentation | and word recognition in a system for general writer independent handwriting recognition |
| Text Line | segmentation | Based on Morphology and Histogram Projection |
| Text Line | segmentation | for Unconstrained Handwritten Document Images Using Neighborhood Connected Component Analysis |
| Text line | segmentation | in Chinese handwritten text images |
| Text Line | segmentation | in Handwritten Documents Using Mumford-Shah Model |
| Text Line | segmentation | in Images of Handwritten Historical Documents |
| Text Line | segmentation | of Historical Arabic Documents |
| Text line | segmentation | of historical documents: a survey |
| Text line | segmentation | using a fully convolutional network in handwritten document images |
| Text recognition in multimedia documents: A study of two neural-based OCRs using and avoiding character | segmentation | |
| Text region extraction and text | segmentation | on camera-captured document style images |
| Text | segmentation | and recognition in complex background based on markov random field |
| Text | segmentation | by Clustering Cohesion |
| Text | segmentation | for MRC Document Compression |
| Text | segmentation | from Complex Background Using Sparse Representations |
| Text | segmentation | in color images using tensor voting |
| Text | segmentation | in Colour Posters from the Spanish Civil War Era |
| Text | segmentation | in natural scenes using Toggle-Mapping |
| Text | segmentation | in Unconstrained Hand-Drawings in Whiteboard Photos |
| Text | segmentation | of Consumer Magazines in PDF Format |
| Text | segmentation | Using Gabor Filters for Automatic Document Processing |
| Text | segmentation | using superpixel clustering |
| Text/Graphics | segmentation | in Architectural Floor Plans |
| TextLec: A Novel Method of | segmentation | by Topic Using Lower Windows and Lexical Cohesion |
| TextMountain: Accurate scene text detection via instance | segmentation | |
| Texton-based | segmentation | of retinal vessels |
| TextonBoost for Image Understanding: Multi-Class Object Recognition and | segmentation | by Jointly Modeling Texture, Layout, and Context |
| TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and | segmentation | |
| Textons, Contours and Regions: Cue Integration in Image | segmentation | |
| Textural | segmentation | of Sidescan Sonar Images Based on Gabor Filters Bank and Active Contours without Edges |
| Textural | segmentation | , Second-Order Statistics and Textural Elements |
| Textural-Contextual Model for Unsupervised | segmentation | of Multipolarization Synthetic Aperture Radar Images, A |
| Texture Analysis and | segmentation | Using Modulation Features, Generative Models, and Weighted Curve Evolution |
| Texture Analysis of CT Images for Vascular | segmentation | : A Revised Run Length Approach |
| Texture and Color, Color and Texture, for | segmentation | |
| Texture and semantic convolutional auto-encoder for anomaly detection and | segmentation | |
| Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) for Brain Matter | segmentation | |
| Texture aware image error concealment with fuzzy | segmentation | |
| Texture aware image | segmentation | using graph cuts and active contours |
| Texture based color | segmentation | for infrared river ice images using K-means clustering |
| Texture based prelens tear film | segmentation | in interferometry images |
| Texture Based | segmentation | Techniques |
| Texture based | segmentation | : Automatic Selection of Co-occurrence Matrices |
| Texture Classification and | segmentation | |
| Texture Classification and | segmentation | Algorithms in Man and Machine |
| Texture Classification and | segmentation | Based on Iterative Morphological Decomposition |
| Texture Classification and | segmentation | by Cellular Neural Networks Using Genetic Learning |
| Texture Classification and | segmentation | Using Multiresolution Simultaneous Autoregressive Models |
| Texture Classification and | segmentation | Using Wavelet Frames |
| Texture classification and | segmentation | using wavelet packet frame and Gaussian mixture model |
| Texture collinearity foreground | segmentation | for night videos |
| Texture Description and | segmentation | through Fractal Geometry |
| Texture enhanced Statistical Region Merging with application to automatic knee bones | segmentation | from CT |
| Texture Extraction and | segmentation | via Statistical Geometric Features |
| Texture Feature Performance for Image | segmentation | |
| Texture Features and | segmentation | Based on Multifractal Approach |
| Texture image classification and | segmentation | using RANK-order clustering |
| Texture image retrieval and image | segmentation | using composite sub-band gradient vectors |
| Texture image | segmentation | based on entropy theory |
| Texture image | segmentation | using combined features from spatial and spectral distribution |
| Texture Image | segmentation | Using Fused Features and Active Contour |
| Texture Image | segmentation | Using Local Extrema |
| Texture Image | segmentation | Using Wavelet Filters and Cellular Neural Network |
| Texture Image | segmentation | : A Local Spectral Mapping Approach |
| Texture Image | segmentation | : An Interactive Framework Based on Adaptive Features and Transductive Learning |
| Texture Information-Directed Region Growing Algorithm for Image | segmentation | and Region Classification, A |
| Texture Learning Domain Randomization for Domain Generalized | segmentation | |
| Texture Models and Image Measures for | segmentation | |
| Texture Operators in | segmentation | |
| Texture Parametrization Method For Image | segmentation | |
| Texture removal for adaptive level set based iris | segmentation | |
| Texture | segmentation | and Region Classification by Orthogonal Decomposition of Cooccurrence Matrices |
| Texture | segmentation | and Shape in the Same Image |
| Texture | segmentation | based on a hierarchical Markov random field model |
| Texture | segmentation | based on local feature histograms |
| Texture | segmentation | based on MRMRF modeling |
| Texture | segmentation | benchmark |
| Texture | segmentation | Benchmark |
| Texture | segmentation | by Contractive Decomposition and Planar Grouping |
| Texture | segmentation | by frequency-sensitive elliptical competitive learning |
| Texture | segmentation | by Grouping Ellipse Ensembles via Active Contours |
| Texture | segmentation | by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model |
| Texture | segmentation | by multiscale aggregation of filter responses and shape elements |
| Texture | segmentation | By Statistical Deformable Models |
| Texture | segmentation | by symmetric and asymmetric filters |
| Texture | segmentation | comparison using grey level co-occurrence probabilities and markov random fields |
| Texture | segmentation | for defining driveable regions |
| Texture | segmentation | in the joint photographic expert group 2000 domain |
| Texture | segmentation | Method by Using Two-Dimensional AR Model and Kullback Information |
| Texture | segmentation | of a 3D Seismic Section with Wavelet Transform and Gabor Filters |
| Texture | segmentation | of SAR Images |
| Texture | segmentation | on two high-performance computers |
| Texture | segmentation | through eigen-analysis of the Pseudo-Wigner distribution |
| Texture | segmentation | Using 2-D Gabor Elementary Functions |
| Texture | segmentation | Using a Diffusion Region Growing Technique |
| Texture | segmentation | using circular-Mellin operators |
| Texture | segmentation | using directional empirical mode decomposition |
| Texture | segmentation | Using Filters |
| Texture | segmentation | Using Filters with Optimized Energy Separation |
| Texture | segmentation | Using Fractal Dimension |
| Texture | segmentation | Using Gabor Modulation/Demodulation |
| Texture | segmentation | using globally active contours model and Cauchy-Schwarz distance |
| Texture | segmentation | Using Hierarchical Wavelet Decomposition |
| Texture | segmentation | Using Independent Component Analysis of Gabor Features |
| Texture | segmentation | using independent-scale component-wise Riemannian-covariance Gaussian mixture model in KL measure based multi-scale nonlinear structure tensor space |
| Texture | segmentation | Using Iterative Estimate of Energy States |
| Texture | segmentation | using LBP embedded Region Competition |
| Texture | segmentation | Using Local Energy in Wavelet Scale Space |
| Texture | segmentation | using local phase differences in Gabor filtered images |
| Texture | segmentation | Using Modulated Wavelet Transform |
| Texture | segmentation | Using Moving Average Modeling Approach |
| Texture | segmentation | Using Multiscale Hurst Features |
| Texture | segmentation | Using Recursive Markov Random Field Parameter Estimation |
| Texture | segmentation | using Shanon wavelet |
| Texture | segmentation | using Siamese Network and Hierarchical Region Merging |
| Texture | segmentation | Using Topographic Labels |
| Texture | segmentation | Using Voronoi Polygons |
| Texture | segmentation | using wavelet transform |
| Texture | segmentation | Using Zero Crossings Information |
| Texture | segmentation | via a diffusion-segmentation scheme in the Gabor feature space |
| Texture | segmentation | via a diffusion-segmentation scheme in the Gabor feature space |
| Texture | segmentation | via Haar Fractal Feature Estimation |
| Texture | segmentation | via Non-local Non-parametric Active Contours |
| Texture | segmentation | with Optimal Linear Prediction Error Filters |
| Texture | segmentation | , Surveys, Review and General |
| Texture-Aware Superpixel | segmentation | |
| texture-based approach to the | segmentation | of seismic images, A |
| Texture-based graph regularization process for 2D and 3D ultrasound image | segmentation | |
| Texture-based Image Retrieval without | segmentation | |
| Texture-based image | segmentation | using neutrosophic clustering |
| Texture-Based Infrared Image | segmentation | by Combined Merging and Partitioning |
| Texture-Based Multiscale | segmentation | : Application to Stromal Compartment Characterization on Ovarian Carcinoma Virtual Slides |
| Texture-Based Probabilistic Approach for Lung Nodule | segmentation | , A |
| Texture-based | segmentation | of Satellite Weather Imagery |
| Texture-Based | segmentation | Using Markov Random Field Models and Approximate Bayesian Estimators Based on Trees |
| Texture-driven parametric snakes for semi-automatic image | segmentation | |
| Texture-Oriented Anisotropic Filtering and Geodesic Active Contours in Breast Tumor Ultrasound | segmentation | |
| Textured Image | segmentation | |
| Textured Image | segmentation | Based on Spatial Dependence using a Markov Random Field Model |
| Textured Image | segmentation | by Context Enhanced Clustering |
| Textured Image | segmentation | Using Autoregressive Model and Artificial Neural-Network |
| Textured Image | segmentation | Using MRF in Wavelet Domain |
| Textured Image | segmentation | Using Multiresolution Markov Fields and a Two-Component Texture Model |
| Textured image | segmentation | via scattering transform and score fusion |
| Textured Image | segmentation | : Returning Multiple Solutions |
| TGNet: Geometric Graph CNN on 3-D Point Cloud | segmentation | |
| Theme-Based Multi-class Object Recognition and | segmentation | |
| Theoretical analysis of a multiscale algorithm for the direct | segmentation | of tomographic images |
| Theoretical Analysis of Multispectral Image | segmentation | Criteria |
| theoretical solution to MAP-EM partial volume | segmentation | of medical images, A |
| Theory for Variational Area-Based | segmentation | Using Non-Quadratic Penalty Functions |
| theory of parameter-dependent connected components of gray images and | segmentation | , A |
| Theory of Textural | segmentation | , A |
| Thermal Infrared Face | segmentation | : A New Pose Invariant Method |
| Thermal Infrared Pedestrian | segmentation | Based on Conditional GAN |
| ThickSeg: Efficient semantic | segmentation | of large-scale 3D point clouds using multi-layer projection |
| Thigh muscle | segmentation | using a hybrid FRFCM-based multi-atlas method and morphology-based interpolation algorithm |
| Thinning and Stroke | segmentation | for Handwritten Chinese Character Recognition |
| Three Dimensional Fluorescence Microscopy Image Synthesis and | segmentation | |
| Three Dimensional MR Brain | segmentation | |
| Three Dimensional Pulse Coupled Neural Network Based on Hybrid Optimization Algorithm for Oil Pollution Image | segmentation | |
| Three Dimensional Root CT | segmentation | Using Multi-Resolution Encoder-Decoder Networks |
| Three dimensional | segmentation | of fluorescence microscopy images using active surfaces |
| Three Dimensional | segmentation | of Intravascular Ultrasound Data |
| Three dimensional | segmentation | of volume data |
| Three Evaluation Criteria's towards a Comparison of Two Characters | segmentation | Methods for Handwritten Arabic Script |
| Three level automatic | segmentation | of optic disc using LAB color space contours and morphological operation |
| Three Processing Characteristics of Visual Texture | segmentation | |
| Three Ways to Improve Semantic | segmentation | with Self-Supervised Depth Estimation |
| Three-Class Markovian | segmentation | of High-Resolution Sonar Images |
| Three-Color Coupled Level-Set Algorithm for Simultaneous Multiple Cell | segmentation | and Tracking, A |
| Three-dimensional affinity learning based multi-branch ensemble network for breast tumor | segmentation | in MRI |
| Three-dimensional building facade | segmentation | and opening area detection from point clouds |
| Three-Dimensional DCT/WT Compression Using Motion Vector | segmentation | for Low Bit-Rate Video Coding |
| Three-Dimensional Image | segmentation | Using a Split, Merge and Group Approach |
| Three-Dimensional Inundation Mapping Using UAV Image | segmentation | and Digital Surface Model |
| Three-Dimensional Model-Based Object Recognition and | segmentation | in Cluttered Scenes |
| Three-Dimensional Motion Computation and Object | segmentation | in a Long Sequence of Stereo Frames |
| Three-dimensional photogrammetric mapping of cotton bolls in situ based on point cloud | segmentation | and clustering |
| Three-dimensional photogrammetry with deep learning instance | segmentation | to extract berry fruit harvestability traits |
| Three-Dimensional Point Cloud Semantic | segmentation | for Cultural Heritage: A Comprehensive Review |
| Three-dimensional | segmentation | and growth-rate estimation of small pulmonary nodules in helical CT images |
| Three-Dimensional | segmentation | and Interpolation of Magnetic Resonance Brain Images |
| Three-Dimensional | segmentation | of Fluid-Associated Abnormalities in Retinal OCT: Probability Constrained Graph-Search-Graph-Cut |
| Three-dimensional | segmentation | of vesicular networks of fungal hyphae in macroscopic microscopy image stacks |
| Three-Dimensional | segmentation | Using the Gaussian Image and Spatial Information |
| Three-Dimensional Shape Knowledge for Joint Image | segmentation | and Pose Estimation |
| Three-Dimensional Shape Knowledge for Joint Image | segmentation | and Pose Tracking |
| Three-Dimensional Surface Mesh | segmentation | Using Curvedness-Based Region Growing Approach |
| Three-dimensional Video | segmentation | Using a Variational Method |
| Three-Level Graph Based Interactive Volume | segmentation | System, A |
| Three-Stage Self-Training Framework for Semi-Supervised Semantic | segmentation | , A |
| Three-Stage Variational Image | segmentation | Framework Incorporating Intensity Inhomogeneity Information, A |
| Three-Zone | segmentation | -Based Motion Compensation for Video Compression |
| Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate | segmentation | Model Against Thresholds |
| Threshold of Graph-Based Volumetric | segmentation | |
| Threshold Selection for | segmentation | of Dense Objects in Tomograms |
| Threshold-Adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic | segmentation | |
| Threshold-based 3D Tumor | segmentation | using Level Set (TSL) |
| Threshold-Based Image | segmentation | through an Improved Particle Swarm Optimisation |
| Threshold-Free Phase | segmentation | and Zero Velocity Detection for Gait Analysis Using Foot-Mounted Inertial Sensors |
| Thresholding based on linear diffusion for feature | segmentation | |
| Thresholding Image | segmentation | Based on the Volume Analysis of Spatial Regions |
| Thresholding-Based | segmentation | Revisited Using Mixtures of Generalized Gaussian Distributions |
| ThunderNet: A Turbo Unified Network for Real-Time Semantic | segmentation | |
| Tiled Top-Down Pyramids and | segmentation | of Large Histological Images |
| Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic | segmentation | |
| Time-Consistent Foreground | segmentation | of Dynamic Content from Color and Depth Video |
| Time-Constrained Clustering for | segmentation | Of Video Into Story Units |
| Time-Dependent Joint | segmentation | and Registration Model: Application to Longitudinal Registration of Hepatic DCE-MRI Sequences, A |
| Time-Space Transformers for Video Panoptic | segmentation | |
| Time-Varying Linear Autoregressive Models for | segmentation | |
| TinyPedSeg: A Tiny Pedestrian | segmentation | Benchmark for Top-Down Drone Images |
| Tire Surface | segmentation | in Infrared Imaging with Convolutional Neural Networks |
| Tissue | segmentation | in MRI as an informative indicator of disease activity in the brain |
| Tissue-level | segmentation | and tracking of cells in growing plant roots |
| Tk-text: Multi-shaped Scene Text Detection via Instance | segmentation | |
| TMVOS: Triplet Matching for Efficient Video Object | segmentation | |
| To Adapt or Not to Adapt? Real-Time Adaptation for Semantic | segmentation | |
| Toboggan Contrast Enhancement for Contrast | segmentation | |
| Token Contrast for Weakly-Supervised Semantic | segmentation | |
| TomatoDIFF: On-plant Tomato | segmentation | with Denoising Diffusion Models * |
| tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based | segmentation | , A |
| Toolbox for Interactive | segmentation | Based on Nested Partitions, A |
| Tooth | segmentation | of Dental Study Models Using Range Images |
| ToothNet: Automatic Tooth Instance | segmentation | and Identification From Cone Beam CT Images |
| Top down image | segmentation | using congealing and graph-cut |
| Top-down approach to | segmentation | of prostate boundaries in ultrasound images |
| Top-Down Approach to the Estimation of Depth Maps Driven by Morphological | segmentation | s, A |
| Top-Down Beats Bottom-Up in 3D Instance | segmentation | |
| Top-down pairwise potentials for piecing together multi-class | segmentation | puzzles |
| Top-Down Pyramid Fusion Network for High-Resolution Remote Sensing Semantic | segmentation | |
| top-down region dividing approach for image | segmentation | , A |
| Top-Down | segmentation | of Histological Images Using a Digital Deformable Model |
| Top-Down | segmentation | of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds |
| TopFormer: Token Pyramid Transformer for Mobile Semantic | segmentation | |
| Topic Modelling For Object-based Classification of VHR Satellite Images Based on Multiscale | segmentation | s |
| Topic Modelling for Object-Based Unsupervised Classification of VHR Panchromatic Satellite Images Based on Multiscale Image | segmentation | |
| TopoAL: An Adversarial Learning Approach for Topology-aware Road | segmentation | |
| Topographic Method for Fingerprint | segmentation | , A |
| Topographic representation based breast density | segmentation | for mammographic risk assessment |
| Topological Active Volumes for | segmentation | and Shape Reconstruction of Medical Images |
| Topological active volumes: A topology-adaptive deformable model for volume | segmentation | |
| Topological Approach to Hierarchical | segmentation | using Mean Shift, A |
| topological encoding convolutional neural network for | segmentation | of 3D multiphoton images of brain vasculature using persistent homology, A |
| Topological Histogram Reduction Towards Colour | segmentation | |
| Topological Loss Function for Deep-Learning Based Image | segmentation | Using Persistent Homology, A |
| Topological | segmentation | of discrete human body shapes in various postures based on geodesic distance |
| Topological | segmentation | of Discrete Surfaces |
| Topological vascular tree | segmentation | for retinal images using shortest path connection |
| Topologically controlled | segmentation | of 3D magnetic resonance images of the head by using morphological operators |
| Topologically Correct 3D Surface Reconstruction and | segmentation | from Noisy Samples |
| Topology adaptive deformable surfaces for medical image volume | segmentation | |
| Topology Correction in Brain Cortex | segmentation | Using a Multiscale, Graph-Based Algorithm |
| Topology cuts: A novel min-cut/max-flow algorithm for topology preserving | segmentation | in N-D images |
| Topology Preserving Brain Tissue | segmentation | Using Graph Cuts |
| Topology Preserving Compositionality for Robust Medical Image | segmentation | |
| Topology-Aware Focal Loss for 3D Image | segmentation | |
| Topology-based image | segmentation | using LBP pyramids |
| Topology-Preserving Discrete Deformable Model: Application to Multi- | segmentation | of Brain MRI |
| Topology-Preserving Image | segmentation | by Beltrami Representation of Shapes |
| Topology-Preserving Multi-label Image | segmentation | |
| Topology-preserving transfer learning for weakly-supervised anomaly detection and | segmentation | |
| TopoSeg: Topology-Aware Nuclear Instance | segmentation | |
| Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic | segmentation | of Urban Roadways |
| Total Bregman divergence-driven possibilistic fuzzy clustering with kernel metric and local information for grayscale image | segmentation | |
| Total Color-Difference Measure for | segmentation | in Color Images, A |
| Total Variation Minimization and Graph Cuts for Moving Objects | segmentation | |
| Total Variation Random Forest: Fully Automatic MRI | segmentation | in Congenital Heart Diseases |
| TouchCut: Fast image and video | segmentation | using single-touch interaction |
| Touching Character Database from Chinese Handwriting for Assessing | segmentation | Algorithms, A |
| Touching numeral | segmentation | using water reservoir concept |
| Toward a 3D Arterial Tree Bifurcation Model for Intra-Cranial Aneurysm Detection and | segmentation | |
| Toward a Dataset-Agnostic Word | segmentation | Method |
| Toward a Generic Evaluation of Image | segmentation | |
| Toward a Unified Probabilistic Framework for Object Recognition and | segmentation | |
| Toward a unified scheme for fast interactive | segmentation | |
| Toward Accurate and Fast Iris | segmentation | for Iris Biometrics |
| Toward Accurate | segmentation | of the LV Myocardium and Chamber for Volumes Estimation in Gated SPECT Sequences |
| Toward automated evaluation of interactive | segmentation | |
| Toward Automated | segmentation | of the Pathological Lung in CT |
| Toward Automated Validation of Sketch-Based 3D | segmentation | Editing Tools |
| Toward Automatic Robot Instruction from Perception: Temporal | segmentation | of Tasks from Human Hand Motion |
| Toward better boundary preserved supervoxel | segmentation | for 3D point clouds |
| Toward breast cancer diagnosis based on automated | segmentation | of masses in mammograms |
| Toward Color Image | segmentation | in Analog VLSI: Algorithm and Hardware |
| Toward combining thematic information with hierarchical multiscale | segmentation | s using tree Markov random field model |
| Toward Evaluating Multiscale | segmentation | s of High Spatial Resolution Remote Sensing Images |
| Toward global solution to MAP image restoration and | segmentation | : Using Common Structure of Local Minima |
| Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic | segmentation | |
| Toward more accurate diagnosis of multiple sclerosis: Automated lesion | segmentation | in brain magnetic resonance image using modified U-Net model |
| Toward Objective Evaluation of Image | segmentation | Algorithms |
| Toward Practical Weakly Supervised Semantic | segmentation | via Point-Level Supervision |
| Toward Robust Fully 3D Filopodium | segmentation | and Tracking in Time-Lapse Fluorescence Microscopy |
| Toward Robust Referring Image | segmentation | |
| Toward | segmentation | of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI |
| Toward Source-Free Cross Tissues Histopathological Cell | segmentation | via Target-Specific Finetuning |
| Toward Stable Co-Saliency Detection and Object Co- | segmentation | |
| Toward the Labeled | segmentation | of Natural Images Using Rough-Set Rules |
| Towards a balanced trade-off between speed and accuracy in unsupervised data-driven image | segmentation | |
| Towards a generalized colour image | segmentation | for kiwifruit detection |
| Towards accurate coronary artery calcium | segmentation | with multi-scale attention mechanism |
| Towards Accurate Disease | segmentation | in Plant Images: A Comprehensive Dataset Creation and Network Evaluation |
| Towards Accurate Medical Image | segmentation | with Gradient-Optimized Dice Loss |
| Towards Accurate | segmentation | of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal |
| Towards Adaptive Semantic | segmentation | By Progressive Feature Refinement |
| Towards an Improved Vision-Based Web Page | segmentation | Algorithm |
| Towards an Unsupervised Growcut Algorithm for Mammography | segmentation | |
| Towards Automated Ethogramming: Cognitively-Inspired Event | segmentation | for Streaming Wildlife Video Monitoring |
| Towards Automated Polyp | segmentation | Using Weakly- and Semi-Supervised Learning and Deformable Transformers |
| Towards Automated Semantic | segmentation | in Prenatal Volumetric Ultrasound |
| Towards Automated TEM for Virus Diagnostics: | segmentation | of Grid Squares and Detection of Regions of Interest |
| Towards automatic 3D bone marrow | segmentation | |
| Towards Automatic Image Modificiation as an Emperical Test of Image | segmentation | |
| Towards Automatic | segmentation | and Recognition of Multiple Precast Concrete Elements in Outdoor Laser Scan Data |
| Towards better semantic consistency of 2D medical image | segmentation | |
| Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic | segmentation | |
| Towards Bounding-Box Free Panoptic | segmentation | |
| Towards breast ultrasound image | segmentation | using multi-resolution pixel descriptors |
| Towards Bridging Semantic Gap to Improve Semantic | segmentation | |
| Towards closing the gap in weakly supervised semantic | segmentation | with DCNNs: Combining local and global models |
| Towards Corner Case Detection by Modeling the Uncertainty of Instance | segmentation | Networks |
| Towards Deeply Unified Depth-aware Panoptic | segmentation | with Bi-directional Guidance Learning |
| Towards Distillation of Deep Neural Networks for Satellite On-board Image | segmentation | |
| Towards Efficient Instance | segmentation | with Hierarchical Distillation |
| Towards Fast and Accurate | segmentation | |
| Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic | segmentation | |
| Towards Fully Automatic Image | segmentation | Evaluation |
| Towards Good Practices for Video Object | segmentation | |
| Towards HD Maps from Aerial Imagery: Robust Lane Marking | segmentation | Using Country-Scale Imagery |
| Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified | segmentation | Framework |
| Towards Learning Low-light Indoor Semantic | segmentation | With Illumination-invariant Features |
| Towards Learning Structure via Consensus for Face | segmentation | and Parsing |
| Towards Multi-source Adaptive Semantic | segmentation | |
| Towards multi-stage texture-based active contour image | segmentation | |
| Towards Noiseless Object Contours for Weakly Supervised Semantic | segmentation | |
| Towards On-Board Hyperspectral Satellite Image | segmentation | : Understanding Robustness of Deep Learning through Simulating Acquisition Conditions |
| Towards Open-Vocabulary Video Instance | segmentation | |
| Towards Open-World | segmentation | of Parts |
| Towards parameter-independent data clustering and image | segmentation | |
| Towards Perceptually Driven | segmentation | Evaluation Metrics |
| Towards Physics-Based | segmentation | of Photographic Color Images |
| Towards real-time 3D region-based | segmentation | : B-spline explicit active surfaces |
| Towards Recognition-Based Variational | segmentation | Using Shape Priors and Dynamic Labeling |
| Towards reduction of the training and search running time complexities for non-rigid object | segmentation | |
| Towards Robust and Physically Plausible Shaded Stereoscopic | segmentation | |
| Towards Robust Semantic | segmentation | of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning |
| Towards Robust Semantic | segmentation | of Land Covers in Foggy Conditions |
| Towards Safer, Faster Prenatal Genetic Tests: Novel Unsupervised, Automatic and Robust Methods of | segmentation | of Nuclei and Probes |
| Towards | segmentation | and Spatial Alignment of the Human Embryonic Brain Using Deep Learning for Atlas-based Registration |
| Towards | segmentation | Based on a Shape Prior Manifold |
| Towards | segmentation | from Multiple Cues: Symmetry and Color |
| Towards | segmentation | of Pedicles on Posteroanterior X-Ray Views of Scoliotic Patients |
| Towards Semantic | segmentation | of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges |
| Towards Temporal Dynamic | segmentation | |
| Towards the Tactile Discovery of Cultural Heritage with Multi-approach | segmentation | |
| Towards total scene understanding: Classification, annotation and | segmentation | in an automatic framework |
| Towards Unified Object Detection and Semantic | segmentation | |
| Towards Unsupervised Online Domain Adaptation for Semantic | segmentation | |
| Towards Unsupervised | segmentation | of Semi-Rigid Low-Resolution Molecular Surfaces |
| Towards unsupervised whole-object | segmentation | : Combining automated matting with boundary detection |
| Towards Urban Scene Semantic | segmentation | with Deep Learning from LiDAR Point Clouds: A Case Study in Baden-Wurttemberg, Germany |
| Towards Viewpoint Robustness in Bird's Eye View | segmentation | |
| Towards Visually Convincing Image | segmentation | |
| Towards weakly supervised semantic | segmentation | by means of multiple instance and multitask learning |
| TPUAR-Net: Two Parallel U-Net with Asymmetric Residual-Based Deep Convolutional Neural Network for Brain Tumor | segmentation | |
| Track and Cut: Simultaneous Tracking and | segmentation | of Multiple Objects with Graph Cuts |
| Tracking and | segmentation | of Highway Vehicles in Cluttered and Crowded Scenes |
| Tracking and | segmentation | of Moving Objects in Dynamic Line Images |
| Tracking Anything with Decoupled Video | segmentation | |
| Tracking as Repeated Figure/Ground | segmentation | |
| Tracking as | segmentation | of Spatial-Temporal Volumes by Anisotropic Weighted TV |
| Tracking based motion | segmentation | under relaxed statistical assumptions |
| Tracking Fast Moving Objects by | segmentation | Network |
| Tracking Multiple Moving Objects by Binary Object Forest | segmentation | |
| Tracking-by- | segmentation | with Online Gradient Boosting Decision Tree |
| TRACL: Temporal reconstruction and adaptive consistency loss for semi-supervised video semantic | segmentation | |
| Tractability of | segmentation | and Scene Analysis, The |
| Tradeoffs between UAS Spatial Resolution and Accuracy for Deep Learning Semantic | segmentation | Applied to Wetland Vegetation Species Mapping |
| Traffic Scene | segmentation | and Robust Filtering for Road Signs Recognition |
| Traffic Scene | segmentation | Based on RGB-D Image and Deep Learning |
| Traffic Sign Detection via Graph-Based Ranking and | segmentation | Algorithms |
| Traffic Sign Instances | segmentation | Using Aliased Residual Structure and Adaptive Focus Localizer |
| Traffic Signs Color Detection and | segmentation | in Poor Light Conditions |
| Traffic Surveillance System for Obtaining Comprehensive Information of the Passing Vehicles Based on Instance | segmentation | , A |
| Traffic Video | segmentation | Using Adaptive-K Gaussian Mixture Model |
| Trainable context model for multiscale | segmentation | |
| Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image | segmentation | |
| training dataset for semantic | segmentation | of urban point cloud map for intelligent vehicles, A |
| Training Efficient Semantic | segmentation | CNNs on Multiple Datasets |
| Training With Uncertain Annotations for Semantic | segmentation | of Basal Cell Carcinoma From Full-Field OCT Images |
| Training-free moving object detection system based on hierarchical color-guided motion | segmentation | |
| trajectory clustering approach to crowd flow | segmentation | in videos, A |
| Trajectory | segmentation | for the autonomous control of backward motion for truck and trailer |
| Trajectory | segmentation | using dynamic programming |
| Trajectory-based human action | segmentation | |
| Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene | segmentation | in Real-World Navigation Assistance |
| Trans4Trans: Efficient Transformer for Transparent Object | segmentation | to Help Visually Impaired People Navigate in the Real World |
| TransCAM: Transformer attention-based CAM refinement for Weakly supervised semantic | segmentation | |
| TransCut: Transparent Object | segmentation | from a Light-Field Image |
| Transductive Approach for Video Object | segmentation | , A |
| Transductive inference and kernel design for object class | segmentation | |
| Transductive | segmentation | of live video with non-stationary background |
| Transductive | segmentation | of Textured Meshes |
| Transductive video co- | segmentation | on the temporal trees |
| Transductive Video | segmentation | on Tree-Structured Model |
| Transfer Beyond the Field of View: Dense Panoramic Semantic | segmentation | via Unsupervised Domain Adaptation |
| Transfer Learning for Image | segmentation | by Combining Image Weighting and Kernel Learning |
| Transfer Learning for On-Orbit Ship | segmentation | |
| Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ | segmentation | of On-branch Soybean Pods |
| Transfer Learning Improves Supervised Image | segmentation | Across Imaging Protocols |
| Transfer Learning Through Weighted Loss Function and Group Normalization for Vessel | segmentation | from Retinal Images |
| Transfer-Aware Graph U-Net with Cross-Level Interactions for PolSAR Image Semantic | segmentation | |
| Transferable Belief Model for hair mask | segmentation | |
| Transferring and Regularizing Prediction for Semantic | segmentation | |
| TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic | segmentation | |
| Transform for Multiscale Image | segmentation | by Integrated Edge and Region Detection, A |
| Transform for Multiscale Image | segmentation | , A |
| Transformed domain GMM foreground | segmentation | for mobile video camera |
| Transformer Based Generative Adversarial Network for Liver | segmentation | |
| Transformer Convolutional Network With the Method of Image | segmentation | for EEG-Based Emotion Recognition, A |
| Transformer Meets Convolution: A Bilateral Awareness Network for Semantic | segmentation | of Very Fine Resolution Urban Scene Images |
| Transformer Scale Gate for Semantic | segmentation | |
| Transformer-based Cascade Network with Boundary Enhancement Loss for Retinal Vessel | segmentation | , A |
| Transformer-Based Decoder Designs for Semantic | segmentation | on Remotely Sensed Images |
| Transformer-Based Decoder for Semantic | segmentation | with Multi-level Context Mining, A |
| Transformer-Based Efficient Salient Instance | segmentation | Networks With Orientative Query |
| Transformer-Based Feature | segmentation | and Region Alignment Method for UAV-View Geo-Localization, A |
| Transformer-Based Network for Anisotropic 3D Medical Image | segmentation | , A |
| Transformers for Workout Video | segmentation | |
| Transforming Cluster-Based | segmentation | for Use in OpenVL by Mainstream Developers |
| TransFusion: Multi-modal Fusion Network for Semantic | segmentation | |
| Transitional Asymmetric Non-local Neural Networks for Real-World Dirt Road | segmentation | |
| Transmission line detection in aerial images: An instance | segmentation | approach based on multitask neural networks |
| Transmission of the color information using quad-trees and | segmentation | -based approaches for the compression of color images with limited palette |
| TransMVU: Multi-view 2D U-Nets with transformer for brain tumour | segmentation | |
| TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic | segmentation | |
| TransRVNet: LiDAR Semantic | segmentation | With Transformer |
| Transtrack: Online meta-transfer learning and Otsu | segmentation | enabled wireless gesture tracking |
| Trapped in Texture Bias? A Large Scale Comparison of Deep Instance | segmentation | |
| TRASMIL: A local anomaly detection framework based on trajectory | segmentation | and multi-instance learning |
| TRC-Unet: Transformer Connections for Near-infrared Blurred Image | segmentation | |
| Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object | segmentation | |
| Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic | segmentation | |
| Tree Crown | segmentation | and Diameter at Breast Height Prediction Based on BlendMask in Unmanned Aerial Vehicle Imagery |
| Tree Defect | segmentation | using Geometric Features and CNN |
| Tree Energy Loss: Towards Sparsely Annotated Semantic | segmentation | |
| Tree Instance | segmentation | with Temporal Contour Graph |
| Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and | segmentation | Methods |
| Tree | segmentation | and Parameter Measurement from Point Clouds Using Deep and Handcrafted Features |
| Tree Species Classification Using Airborne LiDAR Data Based on Individual Tree | segmentation | and Shape Fitting |
| Tree-based Classifiers for Bilayer Video | segmentation | |
| Tree-Structured Markov Random Field Model for Bayesian Image | segmentation | , A |
| Tree-Structured MRF Based Image | segmentation | Combined with Advanced Means Shift Mode Detection |
| Tree-Structured Wavelet Transform for Textured Image | segmentation | |
| TreeUNet: Adaptive Tree convolutional neural networks for subdecimeter aerial image | segmentation | |
| Tri-Attention fusion guided multi-modal | segmentation | network, A |
| Tri-Map Self-Validation Based on Least Gibbs Energy for Foreground | segmentation | |
| Triangle mesh-based edge detection and its application to surface | segmentation | and adaptive surface smoothing |
| Triangular Mesh Based Stroke | segmentation | for Chinese Calligraphy |
| TRICKVOS: A Bag of Tricks for Video Object | segmentation | |
| TriCoS: A Tri-level Class-Discriminative Co- | segmentation | Method for Image Classification |
| Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic | segmentation | |
| Trimix: A General Framework for Medical Image | segmentation | from Limited Supervision |
| Trimmed-Likelihood Estimation for Focal Lesions and Tissue | segmentation | in Multisequence MRI for Multiple Sclerosis |
| Triplet Markov chain in images | segmentation | |
| Triplet Markov Fields with Edge Location for Fast Unsupervised Multi-Class | segmentation | of Synthetic Aperture Radar Images |
| Triplet-path Dilated Network for Detection and | segmentation | of General Pathological Images |
| Triply Supervised Decoder Networks for Joint Detection and | segmentation | |
| TRL: Transformer based refinement learning for hybrid-supervised semantic | segmentation | |
| TROSD: A New RGB-D Dataset for Transparent and Reflective Object | segmentation | in Practice |
| TrSeg: Transformer for semantic | segmentation | |
| TS2C: Tight Box Mining with Surrounding | segmentation | Context for Weakly Supervised Object Detection |
| Tsanet: Temporal and Scale Alignment for Unsupervised Video Object | segmentation | |
| TSGCNet: Discriminative Geometric Feature Learning with Two-Stream Graph Convolutional Network for 3D Dental Model | segmentation | |
| TSNet: Three-Stream Self-Attention Network for RGB-D Indoor Semantic | segmentation | |
| Ttpla: An Aerial-image Dataset for Detection and | segmentation | of Transmission Towers and Power Lines |
| Tube-embodied Gradient Vector Flow Fields for Unsupervised Video Object Plane (VOP) | segmentation | |
| Tube-Link: A Flexible Cross Tube Framework for Universal Video | segmentation | |
| Tubular anisotropy for 2D vessel | segmentation | |
| Tubular Anisotropy | segmentation | |
| Tubular Structure | segmentation | Based on Heat Diffusion |
| Tubular Structure | segmentation | Based on Minimal Path Method and Anisotropic Enhancement |
| Tubular Surface | segmentation | for Extracting Anatomical Structures From Medical Imagery |
| Tubularity Flow Field: A Technique for Automatic Neuron | segmentation | |
| Tukey-Inspired Video Object | segmentation | |
| Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor | segmentation | |
| Tumor Lesion | segmentation | from 3D PET Using a Machine Learning Driven Active Surface |
| Tumor | segmentation | by fusion of MRI images using copula based statistical methods |
| Tumor | segmentation | in brain MRI using a fuzzy approach with class center priors |
| Tumor-Cut: | segmentation | of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications |
| Tunnel Reconstruction With Block Level Precision by Combining Data-Driven | segmentation | and Model-Driven Assembly |
| Turbo | segmentation | of Textured Images |
| TurboPixel | segmentation | Using Eigen-Images |
| TV broadcast macro- | segmentation | : Metadata-based vs. content-based approaches |
| TV Program | segmentation | using Multi-Modal Information Fusion |
| TV program | segmentation | using text-visual analysis |
| TV-based Multi-label Image | segmentation | with Label Cost Prior |
| TVp Regularized Mumford-Shah Model for Image Labeling and | segmentation | , The |
| TVSeg: Interactive Total Variation Based Image | segmentation | |
| TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance | segmentation | |
| Two Applications of Shape-Based Morphology: Blood Vessels | segmentation | and a Generalization of Constrained Connectivity |
| Two Approaches for Arabic Script Recognition-Based | segmentation | Using the Hough Transform |
| Two approaches for text | segmentation | in web images |
| Two Automatic Color | segmentation | Algorithms Applied to Six Skin Tumor Features |
| Two layer | segmentation | for handling pathological motion in degraded post production media |
| two level classifier process for audio | segmentation | , A |
| Two preprocessing techniques based on grey level and geometric thickness to improve | segmentation | results |
| Two steps for fingerprint | segmentation | |
| Two Texture | segmentation | Using M-band Wavelet Transform |
| Two-body | segmentation | from Two Perspective Views |
| Two-Branch Convolutional Neural Network Based on Multi-Spectral Entropy Rate Superpixel | segmentation | for Hyperspectral Image Classification, A |
| Two-dimensional entropic | segmentation | |
| Two-dimensional fractal | segmentation | of natural images |
| Two-Dimensional Histogram Analysis for | segmentation | |
| Two-Frames Accurate Motion | segmentation | Using Tensor Voting and Graph-Cuts |
| Two-handed gesture tracking incorporating template warping with static | segmentation | |
| Two-Level Global Optimization for Image | segmentation | |
| Two-level Method for Unsupervised Speaker-based Audio | segmentation | , A |
| Two-level MRF Models for Image Restoration and | segmentation | |
| Two-Phase | segmentation | Method for Drosophila Olfactory Glomeruli, A |
| Two-Phase | segmentation | of Cell Nuclei Using Fast Level Set-Like Algorithms, A |
| Two-shot Video Object | segmentation | |
| two-stage approach for | segmentation | and recognition of handwritten digit strings collected from mail pieces, A |
| Two-Stage Approach to Automatic | segmentation | of Metaphase Images, A |
| Two-Stage Cascaded Decoder for Semantic | segmentation | of RGB-D Images |
| Two-stage Co- | segmentation | Network Based on Discriminative Representation for Recovering Human Mesh from Videos |
| Two-stage coarse-to-fine image anomaly | segmentation | and detection model |
| Two-stage feature distribution rectification for few-shot point cloud semantic | segmentation | |
| two-stage handwritten character | segmentation | approach in mail address recognition, A |
| Two-stage human hair | segmentation | in the wild using deep shape prior |
| Two-stage hybrid binarization around fringe map based text line | segmentation | for document images |
| Two-Stage Image | segmentation | by Adaptive Thresholding and Gradient Watershed |
| Two-Stage Image | segmentation | Method for Blurry Images with Poisson or Multiplicative Gamma Noise, A |
| Two-Stage Image | segmentation | Method Using a Convex Variant of the Mumford-Shah Model and Thresholding, A |
| Two-Stage Image | segmentation | Method Using Euler's Elastica Regularized Mumford-Shah Model, A |
| Two-Stage Mesh Deep Learning for Automated Tooth | segmentation | and Landmark Localization on 3D Intraoral Scans |
| two-stage online handwritten Chinese character | segmentation | algorithm based on dynamic programming, A |
| Two-Stage Relation Constraint for Semantic | segmentation | of Point Clouds |
| Two-stage | segmentation | of unconstrained handwritten Chinese characters |
| Two-stage Texture | segmentation | Using Complementary Features |
| Two-stage U-Net++ for Medical Image | segmentation | |
| two-stage video object | segmentation | using motion and color information, A |
| Two-Step Area Based Method for Automatic Tight | segmentation | of Zona Pellucida in HMC Images of Human Embryos, A |
| Two-step evidential fusion approach for accurate breast region | segmentation | in mammograms |
| Two-Step Unassisted Video | segmentation | Using Fast Marching Method |
| Two-Stream CNN With Simultaneous Detection and | segmentation | for Robotic Grasping, A |
| Two-stream collaborative network for multi-label chest X-ray Image classification with lung | segmentation | |
| Two-stream deep encoder-decoder architecture for fully automatic video object | segmentation | |
| Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image | segmentation | |
| Two-View Motion | segmentation | by Gaussian Blurring Mean Shift with Fitness Measure |
| Two-View Motion | segmentation | by Mixtures of Dirichlet Process with Model Selection and Outlier Removal |
| Two-View Motion | segmentation | from Linear Programming Relaxation |
| Two-View Motion | segmentation | with Model Selection and Outlier Removal by RANSAC-Enhanced Dirichlet Process Mixture Models |
| U-Net-Id, an Instance | segmentation | Model for Building Extraction from Satellite Images: Case Study in the Joanopolis City, Brazil |
| U-Noise: Learnable Noise Masks for Interpretable Image | segmentation | |
| U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue | segmentation | Tool |
| U-Shaped Densely Connected Convolutions for Left Ventricle | segmentation | from CMR Images |
| U-Transformer-based multi-levels refinement for weakly supervised action | segmentation | |
| U2-ONet: A Two-Level Nested Octave U-Structure Network with a Multi-Scale Attention Mechanism for Moving Object | segmentation | |
| U3DS3: Unsupervised 3D Semantic Scene | segmentation | |
| UACENet: Uncertain area attention and cross-image context extraction network for polyp | segmentation | |
| UAV Low-Altitude Aerial Image Stitching Based on Semantic | segmentation | and ORB Algorithm for Urban Traffic |
| UAVformer: A Composite Transformer Network for Urban Scene | segmentation | of UAV Images |
| UAVid: A semantic | segmentation | dataset for UAV imagery |
| uberatlas: Fast and robust registration for multi-atlas | segmentation | |
| uberatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas | segmentation | |
| UCC: Uncertainty guided Cross-head Cotraining for Semi-Supervised Semantic | segmentation | |
| UCDnet: Double U-Shaped | segmentation | Network Cascade Centroid Map Prediction for Infrared Weak Small Target Detection |
| UCTNet: Uncertainty-Aware Cross-Modal Transformer Network for Indoor RGB-D Semantic | segmentation | |
| UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image | segmentation | |
| Uec-foodpix Complete: A Large-scale Food Image | segmentation | Dataset |
| UHRSNet: A Semantic | segmentation | Network Specifically for Ultra-High-Resolution Images |
| Ultimate Attribute Opening | segmentation | with Shape Information |
| ultra-fast user-steered image | segmentation | paradigm: Live wire on the fly, An |
| Ultra-High Resolution | segmentation | with Ultra-Rich Context: A Novel Benchmark |
| Ultrasound despeckling for active contour | segmentation | |
| Ultrasound Image | segmentation | Using a Point Distribution Model in a Bayesian Framework |
| Ultrasound image | segmentation | with multilevel threshold based on differential search algorithm |
| Ultrasound Image | segmentation | With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation |
| Ultrasound Image | segmentation | : A Survey |
| Ultrasound kidney | segmentation | with a global prior shape |
| Ultrasound, Ultrasonic, Image | segmentation | , Contour Extraction, Contour Motion |
| Ultrasound-Specific | segmentation | via Decorrelation and Statistical Region-Based Active Contours |
| UMMS: Efficient Superpixel | segmentation | Driven by a Mixture of Spatially Constrained Uniform Distribution |
| Unambiguous Scene Text | segmentation | With Referring Expression Comprehension |
| Unbiased and Intervoxel Watershed Algorithm for 3D Image | segmentation | , An |
| Unbiased Subclass Regularization for Semi-Supervised Semantic | segmentation | |
| Uncertain clustering algorithms based on rough and fuzzy sets for real-time image | segmentation | |
| Uncertainty Aware Proposal | segmentation | for Unknown Object Detection |
| Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass | segmentation | |
| Uncertainty based model selection for fast semantic | segmentation | |
| Uncertainty Estimation for Deep Learning-Based | segmentation | of Roads in Synthetic Aperture Radar Imagery |
| Uncertainty Estimation in Instance | segmentation | with Star-convex Shapes |
| Uncertainty Gated Network for Land Cover | segmentation | |
| Uncertainty in Real-Time Semantic | segmentation | on Embedded Systems |
| Uncertainty Quantification of the Effects of | segmentation | Variability in ECGI |
| Uncertainty Quantification using Variational Inference for Biomedical Image | segmentation | |
| Uncertainty Reduction for Model Adaptation in Semantic | segmentation | |
| Uncertainty-aware consistency regularization for cross-domain semantic | segmentation | |
| Uncertainty-Aware Contrastive Distillation for Incremental Semantic | segmentation | |
| Uncertainty-aware iterative learning for noisy-labeled medical image | segmentation | |
| Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic | segmentation | |
| Uncertainty-aware semi-supervised few shot | segmentation | |
| Uncertainty-Aware Source-Free Domain Adaptive Semantic | segmentation | |
| Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor | segmentation | and Atlas Registration |
| Uncertainty-Guided Different Levels of Pseudolabels for Semisupervised Medical Image | segmentation | |
| Uncertainty-guided self-ensembling model for semi-supervised | segmentation | of multiclass retinal fluid in optical coherence tomography images |
| Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic | segmentation | |
| Unconstrained Benchmark Urdu Handwritten Sentence Database with Automatic Line | segmentation | , An |
| Unconstrained Multiphase Thresholding Approach for Image | segmentation | , An |
| Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic | segmentation | |
| Undecimated hierarchical active contours for oct image | segmentation | |
| Understanding Convolution for Semantic | segmentation | |
| Understanding Deep Learning Techniques for Image | segmentation | |
| Understanding Imbalanced Semantic | segmentation | Through Neural Collapse |
| Understanding Popout: Pre-attentive | segmentation | through Nondirectional Repulsion |
| Understanding the Challenges When 3D Semantic | segmentation | Faces Class Imbalanced and OOD Data |
| Understanding the impact of image quality on | segmentation | accuracy |
| Underwater image and video dehazing with pure haze region | segmentation | |
| Undoing the Damage of Label Shift for Cross-domain Semantic | segmentation | |
| UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image | segmentation | |
| UNET-Based Multi-Task Architecture for Brain Lesion | segmentation | |
| UNetFormer: A UNet-like transformer for efficient semantic | segmentation | of remote sensing urban scene imagery |
| UNETR: Transformers for 3D Medical Image | segmentation | |
| UniDAformer: Unified Domain Adaptive Panoptic | segmentation | Transformer via Hierarchical Mask Calibration |
| Unideal Iris | segmentation | Using Region-Based Active Contour Model |
| Unidentified Video Objects: A Benchmark for Dense, Open-World | segmentation | |
| Unified 3D and 4D Panoptic | segmentation | via Dynamic Shifting Networks |
| Unified Algebraic Approach to 2-D and 3-D Motion | segmentation | and Estimation, A |
| Unified Algebraic Approach to 2-D and 3-D Motion | segmentation | , A |
| Unified Approach for Image | segmentation | Using Exact Statistics, A |
| Unified Approach to Image Matching and | segmentation | in Stereo, Motion, and Object Recognition via Recovery of Epipolar Geometry, A |
| Unified Approach to | segmentation | and Categorization of Dynamic Textures, A |
| unified approach to the | segmentation | of grey-level and dot-pattern images, A |
| unified Bayesian mixture model framework via spatial information for grayscale image | segmentation | , A |
| Unified Contour-Pixel Model for Figure-Ground | segmentation | , A |
| Unified Crowd | segmentation | |
| Unified Efficient Pyramid Transformer for Semantic | segmentation | , A |
| unified extreme learning machines and discriminative random fields for automatic knee cartilage and meniscus | segmentation | from multi-contrast MR images, The |
| Unified Framework Based on the Level Set Approach for | segmentation | of Unconstrained Double-Sided Document Images Suffering from Bleed-Through, A |
| Unified Framework for Atlas Based Brain Image | segmentation | and Registration, A |
| Unified Framework for Automated 3-D | segmentation | of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation, A |
| Unified Framework for Automated 3-D | segmentation | of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation, A |
| Unified Framework for Automated Iris | segmentation | Using Distantly Acquired Face Images |
| Unified Framework for Cropland Field Boundary Detection and | segmentation | , A |
| Unified Framework for Generalized Low-Shot Medical Image | segmentation | With Scarce Data, A |
| Unified Framework for Gesture Recognition and Spatiotemporal Gesture | segmentation | , A |
| unified framework for interactive image | segmentation | via Fisher rules, A |
| Unified Framework for MAP Estimation in Remote Sensing Image | segmentation | , A |
| Unified Framework for | segmentation | -Assisted Image Registration, A |
| Unified Framework for Symbol | segmentation | and Recognition of Handwritten Mathematical Expressions, A |
| Unified Fully and Timestamp Supervised Temporal Action | segmentation | via Sequence to Sequence Translation |
| Unified Hyperelastic Joint | segmentation | /Registration Model Based on Weighted Total Variation and Nonlocal Shape Descriptors, A |
| Unified Mask Embedding and Correspondence Learning for Self-Supervised Video | segmentation | |
| Unified Method Based on Wavelet Transform and C-V Model for Crack | segmentation | of 3D Industrial CT Images, A |
| Unified Mixture Framework for Motion | segmentation | : Incorporating Spatial Coherence and Estimating the Number of Models, A |
| Unified Model of GMRF and MOG for Image | segmentation | , A |
| Unified Performance Evaluation for OCR Zoning: Calculating Page | segmentation | 's Score, That Includes Text Zones, Tables and Non-text Objects |
| Unified Point-Based Framework for 3D | segmentation | , A |
| Unified Probabilistic Approach to Feature Matching and Object | segmentation | , A |
| Unified Recurrent Video Object | segmentation | Framework for Various Surveillance Environments, An |
| Unified Referring Expression Generation for Bounding Boxes and | segmentation | s |
| Unified Spectral-Domain Approach for Saliency Detection and Its Application to Automatic Object | segmentation | , A |
| Unified System for | segmentation | and Tracking of Face and Hands in Sign Language Recognition, A |
| Unified Transformer Framework for Group-Based | segmentation | : Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection, A |
| Unified Transformer Framework for Group-Based | segmentation | : Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection, A |
| unified tree-based framework for joint action localization, recognition and | segmentation | , A |
| Unified Video | segmentation | Benchmark: Annotation, Metrics and Analysis, A |
| Uniformity-Based Superpixel | segmentation | of Hyperspectral Images |
| unifying framework for automatic and semi-automatic | segmentation | of vertebrae from radiographs using sample-driven active shape models, A |
| unifying framework for partial volume | segmentation | of brain MR images, A |
| Unifying Panoptic | segmentation | for Autonomous Driving |
| Unifying Registration and | segmentation | for Multi-sensor Images |
| Unifying the random walker algorithm and the SIR model for graph clustering and image | segmentation | |
| Unifying Training and Inference for Panoptic | segmentation | |
| Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape | segmentation | : The Opposing Metrics Method |
| Union-Set Multi-source Model Adaptation for Semantic | segmentation | |
| UniSeg: A Unified Multi-Modal LiDAR | segmentation | Network and the OpenPCSeg Codebase |
| UniT: Unified Knowledge Transfer for Any-shot Object Detection and | segmentation | |
| UniToChest: A Lung Image Dataset for | segmentation | of Cancerous Nodules on CT Scans |
| Unity Is Strength: Coupling Media for Thematic | segmentation | |
| Universal Adversarial Perturbations Against Semantic Image | segmentation | |
| Universal Automatic Bottom Tracking Method of Side Scan Sonar Data Based on Semantic | segmentation | , A |
| Universal character | segmentation | scheme for multifont OCR images |
| Universal Pyramid | segmentation | Algorithm, A |
| Universal Seed Skin | segmentation | |
| Universal Semi-Supervised Semantic | segmentation | |
| UniverSeg: Universal Medical Image | segmentation | |
| Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic | segmentation | |
| Unmasking Anomalies in Road-Scene | segmentation | |
| UnOVOST: Unsupervised Offline Video Object | segmentation | and Tracking |
| Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image | segmentation | |
| Unpaired Multi-Modal | segmentation | via Knowledge Distillation |
| Unraveling | segmentation | Quality of Remotely Sensed Images on Plastic-Covered Greenhouses: A Rigorous Experimental Analysis from Supervised Evaluation Metrics |
| Unseen Object | segmentation | in Videos via Transferable Representations |
| Unstructured Object Matching using Co-Salient Region | segmentation | |
| Unstructured Road | segmentation | Based on Road Boundary Enhancement Point-Cylinder Network Using LiDAR Sensor |
| Unsupervised 2D gel electrophoresis image | segmentation | based on active contours |
| Unsupervised 4D LiDAR Moving Object | segmentation | in Stationary Settings with Multivariate Occupancy Time Series |
| Unsupervised Action | segmentation | by Joint Representation Learning and Online Clustering |
| Unsupervised active contours driven by density distance and local fitting energy with applications to medical image | segmentation | |
| Unsupervised active regions for multiresolution image | segmentation | |
| Unsupervised Algorithm for the | segmentation | of Three-dimensional Magnetic Resonance Brain Images |
| Unsupervised and Model-Free News Video | segmentation | |
| unsupervised and non-parametric Bayesian Image | segmentation | , An |
| Unsupervised and semi-supervised co-salient object detection via | segmentation | frequency statistics |
| Unsupervised Approach for Eye Sclera | segmentation | , An |
| Unsupervised Approach for | segmentation | and Clustering of Soccer Players, An |
| unsupervised approach of colonic polyp | segmentation | using adaptive markov random fields, An |
| Unsupervised Audio-Visual Lecture | segmentation | |
| Unsupervised automated retinal vessel | segmentation | based on Radon line detector and morphological reconstruction |
| Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic | segmentation | Without Using Source Domain Representations |
| Unsupervised Bayesian image | segmentation | using orthogonal series |
| Unsupervised Bayesian Image | segmentation | Using Wavelet-Domain Hidden Markov Models |
| Unsupervised Bayesian Model-Learning with Application to Textured and Polynomial Image | segmentation | |
| Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image | segmentation | |
| Unsupervised Block Covering Analysis for Text-Line | segmentation | of Arabic Ancient Handwritten Document Images |
| Unsupervised Brain | segmentation | System Using K-Means and Neural Network |
| Unsupervised Building Instance | segmentation | of Airborne LiDAR Point Clouds for Parallel Reconstruction Analysis |
| Unsupervised Camouflaged Object | segmentation | as Domain Adaptation |
| Unsupervised Canopy-to-Root Pathing (UCRP) Tree | segmentation | Algorithm for Automatic Forest Mapping, An |
| Unsupervised Category Modeling, Recognition, and | segmentation | in Images |
| Unsupervised Cell Nuclei | segmentation | Based on Morphology and Adaptive Active Contour Modelling |
| Unsupervised cell nucleus | segmentation | with active contours |
| Unsupervised change detection of remote sensing images using superpixel | segmentation | and variational Gaussian mixture model |
| Unsupervised Classification of Multispectral Images Embedded With a | segmentation | of Panchromatic Images Using Localized Clusters |
| Unsupervised Classification Using Spatial Region Growing | segmentation | and Fuzzy Training |
| Unsupervised Clustering and Optimal Clusters for | segmentation | |
| Unsupervised Clustering Guided Semantic | segmentation | |
| Unsupervised Clustering Method with Optimal Estimation of the Number of Clusters: Application to Image | segmentation | |
| Unsupervised Co-generation of Foreground-Background | segmentation | from Text-to-Image Synthesis |
| Unsupervised co- | segmentation | based on a new global GMM constraint in MRF |
| Unsupervised Co- | segmentation | for Athlete Movements and Live Commentaries Using Crossmodal Temporal Proximity |
| Unsupervised Co- | segmentation | for Indefinite Number of Common Foreground Objects |
| Unsupervised co- | segmentation | through region matching |
| Unsupervised Color Image | segmentation | Algorithm for Face Detection Applications, An |
| Unsupervised Color Image | segmentation | for Content-Based Application |
| Unsupervised Color Image | segmentation | Using Compound Markov Random Field Model |
| Unsupervised Color Texture Feature Extraction and Selection for Soccer Image | segmentation | |
| Unsupervised Color-Texture | segmentation | |
| Unsupervised color-texture | segmentation | based on soft criterion with adaptive mean-shift clustering |
| Unsupervised colour image | segmentation | applied to printing quality assessment |
| Unsupervised colour image | segmentation | using dual-tree complex wavelet transform |
| Unsupervised Contour Closure Algorithm for Range Image Edge-Based | segmentation | |
| Unsupervised Cross-Modality Adaptation via Dual Structural-Oriented Guidance for 3D Medical Image | segmentation | |
| Unsupervised deep context prediction for background estimation and foreground | segmentation | |
| Unsupervised Deep Joint | segmentation | of Multitemporal High-Resolution Images |
| Unsupervised Deep Learning Applied to Breast Density | segmentation | and Mammographic Risk Scoring |
| Unsupervised deep learning for text line | segmentation | |
| Unsupervised depth prediction from monocular sequences: Improving performances through instance | segmentation | |
| Unsupervised detection and | segmentation | of identical objects |
| Unsupervised Discovery of the Long-Tail in Instance | segmentation | Using Hierarchical Self-Supervision |
| Unsupervised Domain Adaptation Based Automatic COVID-19 CT | segmentation | |
| Unsupervised Domain Adaptation for Cardiac | segmentation | : Towards Structure Mutual Information Maximization |
| Unsupervised Domain Adaptation for Medical Image | segmentation | by Disentanglement Learning and Self-Training |
| Unsupervised Domain Adaptation for Medical Image | segmentation | Using Transformer With Meta Attention |
| Unsupervised domain adaptation for mobile semantic | segmentation | based on cycle consistency and feature alignment |
| Unsupervised Domain Adaptation for Remote Sensing Semantic | segmentation | with Transformer |
| Unsupervised Domain Adaptation for Semantic | segmentation | of NIR Images Through Generative Latent Search |
| Unsupervised Domain Adaptation for Semantic | segmentation | of Urban Street Scenes Reflected by Convex Mirrors |
| Unsupervised Domain Adaptation for Semantic | segmentation | via Class-Balanced Self-training |
| Unsupervised domain adaptation for semantic | segmentation | via cross-region alignment |
| Unsupervised Domain Adaptation for Semantic | segmentation | with Pseudo Label Self-Refinement |
| Unsupervised Domain Adaptation in Semantic | segmentation | via Orthogonal and Clustered Embeddings |
| Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic | segmentation | of Aerial Images |
| Unsupervised Domain Adaptation With Variational Approximation for Cardiac | segmentation | |
| Unsupervised Domain Adaption Framework for Aerial Image Semantic | segmentation | Based on Curriculum Learning, An |
| Unsupervised dynamic texture | segmentation | using local descriptors in volumes |
| Unsupervised dynamic texture | segmentation | using local spatiotemporal descriptors |
| Unsupervised Dynamic Textures | segmentation | |
| Unsupervised estimation of | segmentation | quality using nonnegative factorization |
| Unsupervised Evaluation Measure of Image | segmentation | : Application to Flower Image Segmentation, An |
| Unsupervised Evaluation Measure of Image | segmentation | : Application to Flower Image Segmentation, An |
| Unsupervised evaluation method using Markov random field for moving object | segmentation | in infrared videos |
| Unsupervised evaluation of image | segmentation | application to multi-spectral images |
| Unsupervised Evolutionary | segmentation | Algorithm Based on Texture Analysis |
| Unsupervised Facade | segmentation | Using Repetitive Patterns |
| Unsupervised feature learning based on sparse coding and spectral clustering for | segmentation | of synthetic aperture radar images |
| Unsupervised feature reduction in image | segmentation | by local Karhunen-Loeve transform |
| Unsupervised Feature Reduction in Image | segmentation | by Local Transforms |
| Unsupervised Feature Selection and Learning for Image | segmentation | |
| Unsupervised Feature Selection Dynamic Mixture Model for Motion | segmentation | , An |
| Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and | segmentation | |
| Unsupervised figure-ground | segmentation | using edge detection and game-theoretical graph-cut approach |
| Unsupervised Fingerprint | segmentation | Based on Multiscale Directional Information |
| Unsupervised Freeview Groupwise Cardiac | segmentation | Using Synchronized Spectral Network |
| Unsupervised fuzzy clustering and image | segmentation | using weighted neural networks |
| Unsupervised hierarchical image | segmentation | based on Bayesian sequential partitioning |
| Unsupervised hierarchical image | segmentation | through fuzzy entropy maximization |
| Unsupervised hierarchical image | segmentation | with level set and additive operator splitting |
| Unsupervised Hierarchical | segmentation | of a Facade Building Image in Elementary 2D-Models, An |
| Unsupervised Hierarchical Semantic | segmentation | with Multiview Cosegmentation and Clustering Transformers |
| Unsupervised hyperspectral image | segmentation | using a new class of neuro-fuzzy systems based on weighted incremental neural networks |
| Unsupervised image classification, | segmentation | , and enhancement using ICA mixture models |
| Unsupervised Image Co- | segmentation | Based on Cooperative Game |
| Unsupervised Image Object | segmentation | Over Compressed Domain |
| unsupervised image | segmentation | algorithm based on the machine learning of appropriate features, An |
| Unsupervised image | segmentation | based on a self-organizing feature map and a texture measure |
| Unsupervised Image | segmentation | Based on the Comparison of Local and Regional Histograms |
| Unsupervised image | segmentation | combining region and boundary estimation |
| Unsupervised Image | segmentation | Contest |
| Unsupervised image | segmentation | evaluation and refinement using a multi-scale approach |
| Unsupervised Image | segmentation | Using a Colony of Cooperating Ants |
| Unsupervised Image | segmentation | Using A Distributed Genetic Algorithm |
| Unsupervised Image | segmentation | Using a Hierarchical Clustering Selection Process |
| Unsupervised image | segmentation | using a simple MRF model with a new implementation scheme |
| Unsupervised Image | segmentation | Using An Unlabeled Region Process |
| Unsupervised Image | segmentation | Using Contourlet Domain Hidden Markov Trees Model |
| Unsupervised image | segmentation | using defocus map and superpixel grouping |
| Unsupervised image | segmentation | using global spatial constraint and multi-scale representation on multiple segmentation proposals |
| Unsupervised image | segmentation | using global spatial constraint and multi-scale representation on multiple segmentation proposals |
| Unsupervised image | segmentation | using Markov random field models |
| Unsupervised image | segmentation | using the Deffuant-Weisbuch model from social dynamics |
| Unsupervised image | segmentation | using the minimum description length principle |
| Unsupervised image | segmentation | using the modified pyramidal linking approach |
| Unsupervised image | segmentation | using triplet Markov fields |
| Unsupervised image | segmentation | via markov trees and complex wavelets |
| Unsupervised Image | segmentation | with Pairwise Markov Chains Based on Nonparametric Estimation of Copula Using Orthogonal Polynomials |
| Unsupervised image | segmentation | with robust virtual class contrast |
| Unsupervised Instance | segmentation | in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting |
| Unsupervised Intra-Domain Adaptation for Semantic | segmentation | Through Self-Supervision |
| Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance | segmentation | |
| Unsupervised Joint Object Discovery and | segmentation | in Internet Images |
| Unsupervised Joint Salient Region Detection and Object | segmentation | |
| Unsupervised Learning and | segmentation | of Complex Activities from Video |
| Unsupervised Learning Approach for Road Anomaly | segmentation | Using RGB-D Sensor for Advanced Driver Assistance System, An |
| Unsupervised Learning of Affinity for Image | segmentation | : An Inpainting based Approach |
| Unsupervised learning of finite mixtures using entropy regularization and its application to image | segmentation | |
| Unsupervised Learning of Foreground Object | segmentation | |
| Unsupervised Learning of Image | segmentation | Based on Differentiable Feature Clustering |
| Unsupervised Learning of Object-Centric Embeddings for Cell Instance | segmentation | in Microscopy Images |
| Unsupervised learning of probabilistic object models (POMs) for object classification, | segmentation | and recognition |
| Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, | segmentation | , and Recognition Using Knowledge Propagation |
| Unsupervised learning of supervoxel embeddings for video | segmentation | |
| Unsupervised learning-based clustering approach for smart identification of pathologies and | segmentation | of tissues in brain magnetic resonance imaging |
| Unsupervised Lips | segmentation | Based on ROI Optimisation and Parametric Model |
| Unsupervised Low-Frequency Driven | segmentation | of Color Images |
| Unsupervised malignant mammographic breast mass | segmentation | algorithm based on pickard Markov random field |
| Unsupervised mammograms | segmentation | |
| Unsupervised Microvascular Image | segmentation | Using an Active Contours Mimicking Neural Network |
| Unsupervised morphological | segmentation | based on affixality measurements |
| Unsupervised motion pattern learning for motion | segmentation | |
| Unsupervised moving object | segmentation | using background subtraction and optimal adversarial noise sample search |
| Unsupervised multi class | segmentation | of 3D images with intensity inhomogeneities |
| Unsupervised Multi-Class Co- | segmentation | via Joint-Cut Over L_1-Manifold Hyper-Graph of Discriminative Image Regions |
| Unsupervised Multi-class Joint Image | segmentation | |
| Unsupervised multi-class | segmentation | of SAR images using fuzzy triplet Markov fields model |
| Unsupervised multi-class | segmentation | of SAR images using triplet Markov fields models based on edge penalty |
| Unsupervised Multi-Object | segmentation | Using Attention and Soft-Argmax |
| Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and | segmentation | |
| Unsupervised multicomponent image | segmentation | combining a vectorial HMC Model and ICA |
| Unsupervised multiphase color-texture image | segmentation | based on variational formulation and multilayer graph |
| Unsupervised Multiphase | segmentation | : A Phase Balancing Model |
| Unsupervised multiphase | segmentation | : A recursive approach |
| Unsupervised Multiple Object | segmentation | of Multiview Images |
| Unsupervised Multiresolution | segmentation | for Images with Low Depth of Field |
| Unsupervised multiresolution texture | segmentation | using wavelet decomposition |
| Unsupervised Multiscale Color Image | segmentation | Based on MDL Principle |
| Unsupervised multiscale image | segmentation | |
| Unsupervised multiscale oil slick | segmentation | from SAR images using a vector HMC model |
| Unsupervised multiscale retinal blood vessel | segmentation | using fundus images |
| Unsupervised multiscale | segmentation | of color images |
| Unsupervised multistage | segmentation | using Markov random field and maximum entropy principle |
| Unsupervised Mumford-Shah energy based hybrid of texture and nontexture image | segmentation | |
| Unsupervised Myocardial | segmentation | for Cardiac BOLD |
| Unsupervised Newspaper | segmentation | Using Language Context |
| Unsupervised non-parametric region | segmentation | using level sets |
| Unsupervised novelty detection using Gabor filters for defect | segmentation | in textures |
| Unsupervised Object Discovery and | segmentation | in Videos |
| Unsupervised Object | segmentation | in Video by Efficient Selection of Highly Probable Positive Features |
| Unsupervised Object | segmentation | with a Hybrid Graph Model (HGM) |
| Unsupervised Object-Based Video | segmentation | Using Color and Texture |
| unsupervised object-level image | segmentation | method based on foreground and background priors, An |
| Unsupervised Online Learning for Fine-Grained Hand | segmentation | in Egocentric Video |
| Unsupervised Online Video Object | segmentation | With Motion Property Understanding |
| Unsupervised Parameter-Free Nuclei | segmentation | Method for Histology Images, An |
| Unsupervised Part | segmentation | through Disentangling Appearance and Shape |
| Unsupervised Perceptual | segmentation | of Natural Color Images Using Fuzzy-Based Hierarchical Algorithm |
| Unsupervised Point Cloud Co-Part | segmentation | via Co-Attended Superpoint Generation and Aggregation |
| Unsupervised Point Cloud Object Co- | segmentation | by Co-contrastive Learning and Mutual Attention Sampling |
| Unsupervised Polarimetric SAR Image | segmentation | and Classification Using Region Growing With Edge Penalty |
| Unsupervised Port Detection Method in Polarimetric SAR Images Based on Three-Component Decomposition and Multi-Scale Thresholding | segmentation | , An |
| unsupervised region growing method for 3D image | segmentation | , An |
| Unsupervised regions based | segmentation | using object discovery |
| Unsupervised Regions | segmentation | : Real Time Control of an Upkeep Machine of Natural Spaces |
| Unsupervised Representation Learning for Tissue | segmentation | in Histopathological Images: From Global to Local Contrast |
| Unsupervised RGB-D image | segmentation | using joint clustering and region merging |
| Unsupervised robust planar | segmentation | of terrestrial laser scanner point clouds based on fuzzy clustering methods |
| Unsupervised Saliency Detection in 3-D-Video Based on Multiscale | segmentation | and Refinement |
| Unsupervised Salient Object | segmentation | Based on Kernel Density Estimation and Two-Phase Graph Cut |
| Unsupervised SAR image | segmentation | using high-order conditional random fields model based on product-of-experts |
| Unsupervised SAR Image | segmentation | Using Higher Order Neighborhood-Based Triplet Markov Fields Model |
| Unsupervised scene adaptation for semantic | segmentation | of urban mobile laser scanning point clouds |
| Unsupervised scene | segmentation | using sparse coding context |
| Unsupervised seabed | segmentation | of synthetic aperture sonar imagery via wavelet features and spectral clustering |
| Unsupervised Seed Determination for a Region-based Color Image | segmentation | Scheme |
| Unsupervised | segmentation | algorithm of HRTEM images |
| Unsupervised | segmentation | and approximation of digital curves with rate-distortion curve modeling |
| Unsupervised | segmentation | and classification of cervical cell images |
| Unsupervised | segmentation | Based on Connectivity Analysis |
| Unsupervised | segmentation | Based on Multi-Resolution Analysis, Robust Statistics and Majority Game Theory |
| Unsupervised | segmentation | Based on Robust Estimation and Cooccurrence Data |
| Unsupervised | segmentation | by Use of a Texture Gradient |
| Unsupervised | segmentation | Evaluation Using Area-Weighted Variance and Jeffries-Matusita Distance for Remote Sensing Images |
| Unsupervised | segmentation | for Automatic Detection of Brain Tumors in MRI |
| Unsupervised | segmentation | for Inflammation Detection in Histopathology Images |
| Unsupervised | segmentation | for Transmission Imaging of Carbon Black |
| Unsupervised | segmentation | Framework with Active Contour Models for Cine Cardiac MRI |
| Unsupervised | segmentation | in Real-World Images via Spelke Object Inference |
| Unsupervised | segmentation | Incorporating Colour, Texture, and Motion |
| Unsupervised | segmentation | incorporating Shape Prior via Generative Adversarial Networks |
| Unsupervised | segmentation | of 3D and 2D Seismic Reflection Data |
| Unsupervised | segmentation | of 5D Hyperpolarized Carbon-13 MRI Data Using a Fuzzy Markov Random Field Model |
| Unsupervised | segmentation | of Anomalies in Sequential Data, Images and Volumetric Data Using Multiscale Fourier Phase-Only Analysis |
| Unsupervised | segmentation | of Cervical Cell Images Using Gaussian Mixture Model |
| Unsupervised | segmentation | of color images |
| Unsupervised | segmentation | of Color Images Based on k-Means Clustering in the Chromaticity Plane |
| Unsupervised | segmentation | of color textured images using a multi-layer MRF model |
| Unsupervised | segmentation | of Color-Texture Regions in Images and Video |
| Unsupervised | segmentation | of Defocused Video Based on Matting Model |
| Unsupervised | segmentation | of dual-echo MR images by a sequentially learned Gaussian mixture model |
| Unsupervised | segmentation | of dual-polarization SAR images based on amplitude and texture characteristics |
| Unsupervised | segmentation | of ERS and Radarsat sea ice images using multiresolution peak detection and aggregated population equalization |
| Unsupervised | segmentation | of Gray Level Markov Model Textures with Hierarchical Self Organizing Maps |
| Unsupervised | segmentation | of highly dynamic scenes through global optimization of multiscale cues |
| Unsupervised | segmentation | of Indoor 3d Point Cloud: Application To Object-based Classification |
| Unsupervised | segmentation | of low clouds from infrared METEOSAT images based on a contextual spatio-temporal labeling approach |
| Unsupervised | segmentation | of low depth of field images based on L0 regularized matting model |
| Unsupervised | segmentation | of Markov Random Fields Corrupted by Nonstationary Noise |
| Unsupervised | segmentation | of Markov Random-Field Modeled Textured Images Using Selectionist Relaxation |
| Unsupervised | segmentation | of Multi-Modal Images by a Precise Approximation of Individual Modes with Linear Combinations of Discrete Gaussians |
| Unsupervised | segmentation | of Multilook Polarimetric Synthetic Aperture Radar Images |
| Unsupervised | segmentation | of Multisensor Images Using Generalized Hidden Markov Chains |
| Unsupervised | segmentation | of multispectral images using edge progression and cost function |
| Unsupervised | segmentation | of Multitemporal Interferometric SAR Images |
| Unsupervised | segmentation | of natural images via lossy data compression |
| Unsupervised | segmentation | of Noisy and Textured Images Using Markov Random Fields |
| Unsupervised | segmentation | of Objects using Efficient Learning |
| Unsupervised | segmentation | of Poisson Data |
| Unsupervised | segmentation | of Polarimetric SAR Data Using the Covariance Matrix |
| Unsupervised | segmentation | of Random Discrete Data Hidden With Switching Noise Distributions |
| Unsupervised | segmentation | of Retinal Blood Vessels Using a Single Parameter Vesselness Measure |
| Unsupervised | segmentation | of RGB-D Images |
| Unsupervised | segmentation | of scenes containing vegetation (Forsythia) and soil by hierarchical analysis of bi-dimensional histograms |
| Unsupervised | segmentation | of spaceborne passive radar images |
| Unsupervised | segmentation | of stents corrupted by artifacts in medical X-ray images |
| Unsupervised | segmentation | of Surface Defects |
| Unsupervised | segmentation | of Synthetic Aperture Radar Sea Ice Imagery Using a Novel Markov Random Field Model |
| Unsupervised | segmentation | of synthetic aperture radar sea ice imagery using MRF models |
| Unsupervised | segmentation | of Text Fragments in Real Scenes |
| Unsupervised | segmentation | of Textured Color Images Using Markov Random Field Models |
| Unsupervised | segmentation | of textured image using Markov random field in random spatial interaction |
| Unsupervised | segmentation | of Textured Images by Edge Detection in Multidimensional Features |
| Unsupervised | segmentation | of Textured Images by Pairwise Data Clustering |
| Unsupervised | segmentation | of Three-dimensional Brain Images |
| Unsupervised | segmentation | using a self-organizing map and a noise model estimation in sonar imagery |
| Unsupervised | segmentation | using dynamic superpixel random walks |
| Unsupervised | segmentation | Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis |
| Unsupervised | segmentation | With an Adaptive Number of Clusters Using the SPAN/H/alpha/A Space and the Complex Wishart Clustering for Fully Polarimetric SAR Data Analysis, An |
| Unsupervised | segmentation | , Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images |
| Unsupervised semantic and instance | segmentation | of forest point clouds |
| Unsupervised Semantic | segmentation | by Contrasting Object Mask Proposals |
| Unsupervised skin tissue | segmentation | for remote photoplethysmography |
| Unsupervised Space-Time Network for Temporally-Consistent | segmentation | of Multiple Motions |
| Unsupervised Spatio-Temporal | segmentation | with Sparse Spectral-Clustering |
| Unsupervised Spectral Mesh | segmentation | Driven by Heterogeneous Graphs |
| Unsupervised Statistical | segmentation | of Nonstationary Images Using Triplet Markov Fields |
| Unsupervised Synthetic Aperture Radar Image | segmentation | Using Fisher Distributions |
| Unsupervised Temporal Consistency (TC) Loss to Improve the Performance of Semantic | segmentation | Networks, An |
| Unsupervised Temporal Consistency Metric for Video | segmentation | in Highly-Automated Driving |
| Unsupervised Temporal | segmentation | of Human Action Using Community Detection |
| Unsupervised Text | segmentation | Using Color and Wavelet Features |
| Unsupervised Texture Based Image | segmentation | by Simulated Annealing Using Markov Random Field and Potts Models |
| Unsupervised Texture | segmentation | Algorithm with Feature Space Reduction and Knowledge Feedback, An |
| Unsupervised Texture | segmentation | Based on Histogram of Encoded Gabor Features and MRF Model |
| Unsupervised texture | segmentation | based on the modified Markov random field model |
| Unsupervised Texture | segmentation | Based on Watershed and a Novel Artificial Immune Antibody Competitive Network |
| Unsupervised texture | segmentation | by dominant sets and game dynamics |
| Unsupervised Texture | segmentation | by Hebbian Learnt Cortical Cells |
| Unsupervised Texture | segmentation | by Spectral-Spatial-Independent Clustering |
| Unsupervised Texture | segmentation | for Multispectral Remote-Sensing Images |
| Unsupervised Texture | segmentation | in a Deterministic Annealing Framework |
| Unsupervised Texture | segmentation | of Images Using Tuned Matched Gabor Filters |
| Unsupervised texture | segmentation | using a statistical wavelet-based hierarchical multi data model |
| Unsupervised Texture | segmentation | using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters |
| Unsupervised texture | segmentation | using active contours driven by the Chernoff gradient flow |
| Unsupervised Texture | segmentation | Using Color Quantization And Color Feature Distributions |
| Unsupervised texture | segmentation | using feature distributions |
| Unsupervised texture | segmentation | using feature selection and fusion |
| Unsupervised Texture | segmentation | Using Gabor Filters |
| Unsupervised texture | segmentation | using Hermite transform filters |
| Unsupervised Texture | segmentation | Using Markov Random Field Models |
| Unsupervised texture | segmentation | using monogenic curvelets and the Potts model |
| Unsupervised Texture | segmentation | Using Multichannel Decomposition and Hidden Markov-Models |
| Unsupervised texture | segmentation | using multiresolution hybrid genetic algorithm |
| Unsupervised Texture | segmentation | Using Multispectral Modelling Approach |
| Unsupervised texture | segmentation | using resonance algorithm for natural scenes |
| Unsupervised Texture | segmentation | Using Selectionist Relaxation |
| Unsupervised Texture | segmentation | Using Stochastic Version of the EM Algorithm and Data Fusion |
| Unsupervised Texture | segmentation | Using Tuned Filters in Gaborian Space |
| Unsupervised Texture | segmentation | via Wavelet Transform |
| Unsupervised Texture | segmentation | with Nonparametric Neighborhood Statistics |
| Unsupervised texture | segmentation | with one-step mean shift and boundary Markov random fields |
| Unsupervised texture | segmentation | /classification using 2-D autoregressive modeling and the stochastic expectation-maximization algorithm |
| Unsupervised texture-based image | segmentation | through pattern discovery |
| Unsupervised textured image | segmentation | using 2-D quarter plane autoregressive model with four prediction supports |
| Unsupervised Textured Image | segmentation | Using Feature Smoothing and Probabilistic Relaxation Techniques |
| Unsupervised Tissue Image | segmentation | through Object-Oriented Texture |
| Unsupervised Tissue | segmentation | via Deep Constrained Gaussian Network |
| Unsupervised tissue type | segmentation | of 3D dual-echo MR head data |
| Unsupervised Variational Image | segmentation | /Classification Using a Weibull Observation Model |
| Unsupervised vector image | segmentation | by a tree structure-ICM algorithm |
| Unsupervised video object | segmentation | and tracking based on new edge features |
| Unsupervised video object | segmentation | by supertrajectory labeling |
| Unsupervised video object | segmentation | using conditional random fields |
| Unsupervised Video Object | segmentation | Using Motion Saliency-Guided Spatio-Temporal Propagation |
| Unsupervised Video Object | segmentation | via Prototype Memory Network |
| Unsupervised video object | segmentation | with distractor-aware online adaptation |
| Unsupervised Video Object | segmentation | with Joint Hotspot Tracking |
| Unsupervised Video Object | segmentation | with Motion-Based Bilateral Networks |
| Unsupervised Video Object | segmentation | with Online Adversarial Self-Tuning |
| Unsupervised Video | segmentation | Algorithms Based On Flexibly Regularized Mixture Models |
| Unsupervised Video | segmentation | and Object Tracking |
| Unsupervised Video | segmentation | Based on Watersheds and Temporal Tracking |
| Unsupervised video | segmentation | by dynamic volume growing and multivariate volume merging using color-texture-gradient features |
| Unsupervised video | segmentation | for multi-view daily action recognition |
| Unsupervised video | segmentation | method based on feature distance |
| Unsupervised Video Shot | segmentation | Using Global Color and Texture Information |
| Unsupervised video-shot | segmentation | and model-free anchorperson detection for news video story parsing |
| Unsupervized Video | segmentation | With Low Depth of Field |
| UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite Images for Vessel Detection and | segmentation | |
| Updating a Road Network Dataset Exploiting The Results of Semantic | segmentation | Techniques Applied to Street-level Imagery |
| UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image | segmentation | |
| Upper Body Human Detection and | segmentation | in Low Contrast Video |
| UPSNet: A Unified Panoptic | segmentation | Network |
| Urban 3D | segmentation | and modelling from street view images and LiDAR point clouds |
| Urban Building Mesh Polygonization Based on Plane-Guided | segmentation | , Topology Correction and Corner Point Clump Optimization |
| Urban Riverway Extraction from High-Resolution SAR Image Based on Blocking | segmentation | and Discontinuity Connection |
| Urban Scene Semantic | segmentation | with Low-Cost Coarse Annotation |
| UrbanLF: A Comprehensive Light Field Dataset for Semantic | segmentation | of Urban Scenes |
| URS: A Light-Weight | segmentation | Model for Train Wheelset Monitoring |
| Urvos: Unified Referring Video Object | segmentation | Network with a Large-scale Benchmark |
| USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic | segmentation | |
| Use of adaptive | segmentation | in handwritten phrase recognition |
| Use of aggregation pheromone density for image | segmentation | |
| use of combined illumination in | segmentation | of orthodontic bodies, The |
| Use of Compound Predicates in Split-and-Merge | segmentation | |
| use of Gibbs random fields for image | segmentation | , The |
| use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle | segmentation | in ultrasound, The |
| Use of | segmentation | and Shape Recognition Techniques in Synthetic Aperture Radar Images, The |
| Use of simplex search in active shape models for improved boundary | segmentation | |
| Use of Texture Concept and Parametric Imaging Concept for Biomedical Image | segmentation | |
| Use of Texture Operators in Image | segmentation | |
| Use of uncertainty quantification as a surrogate for layer | segmentation | error in Stargardt disease retinal OCT images |
| Use of Variance and Entropic Thresholding Methods for Image | segmentation | , The |
| USeg: A Retargetable Word | segmentation | Procedure for Information Retrieval |
| User assisted stereo image | segmentation | |
| User driven sparse point-based image | segmentation | |
| User interactive | segmentation | with partially growing random forest |
| User-Agent Cooperation in Multiagent IVUS Image | segmentation | |
| User-Centered | segmentation | Method for Complex Historical Manuscripts Based on Document Graphs, A |
| User-centric image | segmentation | using an interactive parameter adaptation tool |
| User-Centric Learning and Evaluation of Interactive | segmentation | Systems |
| User-Friendly Interactive Image | segmentation | Through Unified Combinatorial User Inputs |
| User-Friendly Simultaneous Tomographic Reconstruction and | segmentation | with Class Priors |
| User-guided graph reduction for fast image | segmentation | |
| User-Steered Image | segmentation | Paradigms: Live Wire and Live Lane |
| User-Steered Image | segmentation | Using Live Markers |
| Using 3D models for the | segmentation | of image sequences |
| Using a boosted tree classifier for text | segmentation | in hand-annotated documents |
| Using a flexibility constrained 3D statistical shape model for robust MRF-based | segmentation | |
| Using a Waffle Iron for Automotive Point Cloud Semantic | segmentation | |
| Using an Exact Performance of Hough Transform for Image Text | segmentation | |
| Using Atlas Prior with Graph Cut Methods for Right Ventricle | segmentation | from Cardiac MRI |
| Using attention for video | segmentation | |
| Using Band Subset Selection For Dimensionality Reduction In Superpixel | segmentation | Of Hyperspectral Imagery |
| Using Blood Vessels Location Information in Optic Disk | segmentation | |
| Using Channel-Wise Attention for Deep CNN Based Real-Time Semantic | segmentation | With Class-Aware Edge Information |
| Using character recognition and | segmentation | to tell computer from humans |
| Using Co-Occurrence and | segmentation | to Learn Feature-Based Object Models from Video |
| Using Color for Geometry-Insensitive | segmentation | |
| Using colour, texture, and hierarchial | segmentation | for high-resolution remote sensing |
| Using covariance matrices for unsupervised texture | segmentation | |
| Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based | segmentation | |
| Using encoding cost data for | segmentation | of compressed image sequences |
| Using Feature Selection For Object | segmentation | and Tracking |
| Using full motion 3D Flash LIDAR video for target detection, | segmentation | , and tracking |
| Using global bag of features models in random fields for joint categorization and | segmentation | of objects |
| Using H.264/AVC-Intra for | segmentation | -Driven Compound Document Coding |
| Using Hidden Markov Models as a Tool for Handwritten Text Line | segmentation | |
| Using image | segmentation | for evaluating 3D statistical shape models built with groupwise correspondence optimization |
| Using irregular pyramid for text | segmentation | and binarization of gray scale images |
| Using Laser Altimetry-based | segmentation | to Refine Automated Tree Identification in Managed Forests of the Black Hills, South Dakota |
| Using Local 3D Structure for | segmentation | of Bone from Computer Tomography Images |
| Using macroscopic information in image | segmentation | |
| Using mel-frequency audio features from footstep sound and spatial | segmentation | techniques to improve frame-based moving object detection |
| Using Mixture of Expert Models to Gain Insights into Semantic | segmentation | |
| Using Models of Objects with Deformable Parts for Joint Categorization and | segmentation | of Objects |
| Using Multimodal MR Data for | segmentation | and Topology Recovery of the Cerebral Superficial Venous Tree |
| Using multiple | segmentation | s for image auto-annotation |
| Using Multiple | segmentation | s to Discover Objects and their Extent in Image Collections |
| Using Multisource High-Resolution Remote Sensing Data (2 m) with a Habitat-Tide-Semantic | segmentation | Approach for Mangrove Mapping |
| Using non-linear diffusion and motion information for video | segmentation | |
| Using Open Vector-Based Spatial Data to Create Semantic Datasets for Building | segmentation | for Raster Data |
| Using prior shape and intensity profile in medical image | segmentation | |
| Using Probability Maps for Multi-organ Automatic | segmentation | |
| Using resolution pyramids for watershed image | segmentation | |
| Using Scene Context to Model | segmentation | s |
| Using | segmentation | in CT metal artifact reduction |
| Using | segmentation | to Predict the Absence of Occluded Parts |
| Using | segmentation | to Verify Object Hypotheses |
| Using | segmentation | With Multi-Scale Selective Kernel for Visual Object Tracking |
| Using Self-Organizing Recognition as a Mechanism for Rejecting | segmentation | Errors |
| Using Shape-Aware Models for Lumbar Spine Intervertebral Disc | segmentation | |
| Using support vector regression and | segmentation | to estimate forest height, biomass and volume from LiDAR transects and Quickbird imagery |
| Using surface variability characteristics for | segmentation | of deformable 3D objects with application to piecewise statistical deformable model |
| Using Symmetry to Select Fixation Points for | segmentation | |
| Using the expectation-maximization algorithm for depth estimation and | segmentation | of multi-view images |
| Using the Shape Gradient for Active Contour | segmentation | : From the Continuous to the Discrete Formulation |
| Using the Spatio-Temporal Volume for Motion | segmentation | |
| Using Training Samples Retrieved from a Topographic Map and Unsupervised | segmentation | for the Classification of Airborne Laser Scanning Data |
| Using Virtual Scenarios to Produce Machine Learnable Environments For Wildfire Detection and | segmentation | |
| USMLP: U-shaped Sparse-MLP network for mass | segmentation | in mammograms |
| USSR: A Unified Framework for Simultaneous Smoothing, | segmentation | , and Registration of Multiple Images |
| Utilization of spatial information for point cloud | segmentation | |
| Utilization of the Recursive Shortest Spanning Tree Algorithm for Video Object | segmentation | by 2-D Affine Motion Modeling |
| Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf | segmentation | of rosette plant images |
| Utilizing polygon | segmentation | technique to extract and optimize light stripe centerline in line-structured laser 3D scanner |
| Utilizing Transfer Learning and a Customized Loss Function for Optic Disc | segmentation | from Retinal Images |
| UTLNet: Uncertainty-Aware Transformer Localization Network for RGB-Depth Mirror | segmentation | |
| V-NAS: Neural Architecture Search for Volumetric Medical Image | segmentation | |
| V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image | segmentation | |
| Validation Index: A New Metric for Validation of | segmentation | Algorithms Using Two or More Expert Outlines With Application to Radiotherapy Planning, The |
| Validation of a Regression Technique for | segmentation | of White Matter Hyperintensities in Alzheimer's Disease |
| Validation of an Algorithm for | segmentation | of Full-Body Movement Sequences by Perception: A Pilot Experiment |
| Validation of bone | segmentation | and improved 3-D registration using contour coherency in CT data |
| Validation Of Point Clouds | segmentation | Algorithms Through Their Application To Several Case Studies For Indoor Building Modelling |
| Variable Block Size | segmentation | for Image Compression Using Stochastic Models |
| Variable Block Size Video Coding with Motion Prediction and Motion | segmentation | |
| Variable Duration Hidden Markov Model and Morphological | segmentation | for Handwritten Word Recognition |
| Variable Pyramid Structures for Image | segmentation | |
| Variable Selection for Road | segmentation | in Aerial Images |
| Variance Based Image Binarization Scheme and Its Application in Text | segmentation | , A |
| Variant of the region-scalable fitting energy for image | segmentation | |
| Variational and Level Set Methods in Image | segmentation | |
| Variational and PCA based natural image | segmentation | |
| variational approach for color image | segmentation | , A |
| Variational Approach for Combined | segmentation | and Estimation of Respiratory Motion in Temporal Image Sequences, A |
| Variational approach for | segmentation | of lung nodules |
| Variational Approach for the | segmentation | of the Left Ventricle in Cardiac Image Analysis, A |
| Variational Approach for the | segmentation | of the Left Ventricle in MR Cardiac Images, A |
| variational approach to automatic | segmentation | of RNFL on OCT data sets of the retina, A |
| variational approach to scene reconstruction and image | segmentation | from motion-blur cues, A |
| Variational Approach to Simultaneous Image | segmentation | and Bias Correction, A |
| Variational Approach to the Evolution of Radial Basis Functions for Image | segmentation | , A |
| Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic | segmentation | |
| Variational Bayes Approach to Image | segmentation | , A |
| Variational Bayes Inference Based | segmentation | of Heterogeneous Lymphoma Volumes in Dual-Modality PET-CT Images |
| Variational Bayes Inference of Spatial Mixture Models for | segmentation | |
| Variational Bayes Method for Handwritten Text Line | segmentation | , A |
| variational framework for active and adaptative | segmentation | of vector valued images, A |
| Variational Framework for Adaptive Satellite Images | segmentation | , A |
| variational framework for image | segmentation | combining motion estimation and shape regularization, A |
| Variational Framework for Joint | segmentation | and Registration, A |
| Variational Framework for Multiregion Pairwise-Similarity-Based Image | segmentation | , A |
| Variational Framework for Partially Occluded Image | segmentation | using Coarse to Fine Shape Alignment and Semi-Parametric Density Approximation, A |
| Variational Framework for Region-Based | segmentation | Incorporating Physical Noise Models, A |
| Variational Framework for the Simultaneous | segmentation | and Object Behavior Classification of Image Sequences, A |
| Variational image | segmentation | by unifying region and boundary information |
| Variational Image | segmentation | for Endoscopic Human Colonic Aberrant Crypt Foci |
| variational image | segmentation | method exploring both intensity means and texture patterns, A |
| Variational Image | segmentation | Model Based on Normalized Cut with Adaptive Similarity and Spatial Regularization, A |
| Variational image | segmentation | model coupled with image restoration achievements |
| Variational image | segmentation | on implicit surface using Split-Bregman method |
| Variational Image | segmentation | Using Boundary Functions |
| variational inference based approach for image | segmentation | , A |
| Variational inference for medical image | segmentation | |
| Variational level set method for image | segmentation | with simplex constraint of landmarks |
| Variational Level Set Methods: From Continuous to Discrete Setting, Applications in Video | segmentation | and Tracking |
| variational level set | segmentation | formulation based on signal model for images in the presence of intensity inhomogeneity, A |
| Variational Level Set | segmentation | in Riemannian Sobolev Spaces |
| Variational level-set with gaussian shape model for cell | segmentation | |
| Variational Method for Geometric Regularization of Vascular | segmentation | in Medical Images, A |
| variational method in image | segmentation | : Existence and approximation results, A |
| Variational Model Dedicated to Joint | segmentation | , Registration, and Atlas Generation for Shape Analysis, A |
| Variational Model for Image | segmentation | |
| Variational Model for Interactive Shape Prior | segmentation | and Real-Time Tracking, A |
| Variational Model for Object | segmentation | Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional, A |
| Variational Model for | segmentation | of Overlapping Objects With Additive Intensity Value, A |
| variational model for thin structure | segmentation | based on a directional regularization, A |
| variational model with hybrid images data fitting energies for | segmentation | of images with intensity inhomogeneity, A |
| Variational Motion | segmentation | with Level Sets |
| Variational multi-phase | segmentation | using high-dimensional local features |
| variational multiphase level set approach to simultaneous | segmentation | and bias correction, A |
| variational multiphase model for simultaneous MR image | segmentation | and bias correction, A |
| Variational Pairing of Image | segmentation | and Blind Restoration |
| Variational Prototype Inference for Few-Shot Semantic | segmentation | |
| Variational Region-Based | segmentation | Using Multiple Texture Statistics |
| Variational Representation for Efficient Noisy | segmentation | , A |
| Variational | segmentation | by Piecewise Facet Models with Application to Range Imagery |
| Variational | segmentation | model for images with intensity inhomogeneity and Poisson noise |
| Variational | segmentation | of Color Images |
| Variational | segmentation | of elongated volumetric structures |
| Variational | segmentation | of Image Sequences Using Deformable Shape Priors |
| Variational | segmentation | of Image Sequences Using Region-Based Active Contours and Deformable Shape Priors |
| Variational | segmentation | of multi-channel MRI images |
| Variational | segmentation | of Vector-Valued Images With Gradient Vector Flow |
| Variational | segmentation | Using Dynamical Models for Rigid Motion |
| Variational | segmentation | using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions |
| Variational shape prior | segmentation | with an initial curve based on image registration technique |
| Variational space-time motion | segmentation | |
| Variational Unsupervised | segmentation | of Multi-Look Complex Polarimetric Images using a Wishart Observation Model |
| Variational-Scale | segmentation | for Multispectral Remote-Sensing Images Using Spectral Indices |
| Vascular | segmentation | of phase contrast magnetic resonance angiograms based on statistical mixture modeling and local phase coherence |
| VCSeg: Virtual Camera Adaptation for Road | segmentation | |
| VCT-NET: An Octa Retinal Vessel | segmentation | Network Based on Convolution and Transformer |
| Vector (Self) Snakes: Vector (self) snakes: A Geometric framework for Color, Texture and Multiscale Image | segmentation | |
| Vector Field Convolution for Image | segmentation | using Snakes |
| Vector Image | segmentation | by Piecewise Continuous Approximation |
| Vector Median Root Signals Determination for cDNA Microarray Image | segmentation | |
| Vector Quantization Based Motion Field | segmentation | under an Entropy Constraint |
| Vector-Based Arc | segmentation | in the Machine Drawing Understanding System Environment |
| Vector-valued Chan-Vese model driven by local histogram for texture | segmentation | |
| VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan | segmentation | |
| Vectorial scale-based fuzzy-connected image | segmentation | |
| Vectorization of Linear Features In Scanned Topographic Maps Using Adaptive Image | segmentation | and Sequential Line Tracking |
| Vectorized image | segmentation | via trixel agglomeration |
| VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic | segmentation | of Vehicles in Images From an Aerial Perspective |
| Vegetation Land | segmentation | with Multi-Modal and Multi-Temporal Remote Sensing Images: A Temporal Learning Approach and a New Dataset |
| Vegetation | segmentation | based on variational level set using multi-channel local wavelet texture and color |
| Vegetation | segmentation | in Cornfield Images Using Bag of Words |
| Vehicle Area | segmentation | Using Grid-Based Feature Values |
| Vehicle Extraction Using Histogram and Genetic Algorithm Based Fuzzy Image | segmentation | from High Resolution UAV Aerial Imagery |
| Vehicle Instance | segmentation | From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network |
| Vehicle | segmentation | and Classification Using Deformable Templates |
| Vehicle | segmentation | and Tracking from a Low-Angle Off-Axis Camera |
| Vehicle | segmentation | Using Deformable Templates |
| Vehicle-Borne Mobile Mapping System Based Framework for Semantic | segmentation | and Modeling on Overhead Catenary System Using Deep Learning, A |
| Vehicle-Related Scene | segmentation | Using CapsNets |
| Vehicles Detection in Stereo Vision Based on Disparity Map | segmentation | and Objects Classification |
| Vehicles Tracking by Combining Convolutional Neural Network Based | segmentation | and Optical Flow Estimation |
| Vein | segmentation | in Infrared Images Using Compound Enhancing and Crisp Clustering |
| Velocity as a Cue to | segmentation | |
| Velocity guided | segmentation | of phase contrast magnetic resonance angiography |
| Velocity-Based Multiple Change-Point Inference for Unsupervised | segmentation | of Human Movement Behavior |
| Ventricle | segmentation | , Left Ventricle, using MRI |
| Ventricular | segmentation | and modeling using topological watershed transformation and harmonic state model |
| VEPL-Net: A Deep Learning Ensemble for Automatic | segmentation | of Vegetation Encroachment in Power Line Corridors Using UAV Imagery |
| Verification-Based Multithreshold Probing Approach to HEp-2 Cell | segmentation | , A |
| Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic | segmentation | , A |
| Versatile | segmentation | Procedure, A |
| Vertebral body | segmentation | using a probabilistic and universal shape model |
| Vertex Directed | segmentation | of Handwritten Numerals |
| Vertical stratification of forest canopy for | segmentation | of understory trees within small-footprint airborne LiDAR point clouds |
| very efficient strategy for very large data sets clustering: application to image | segmentation | , A |
| Very High Accuracy Velocity Estimation using Orientation Tensors, Parametric Motion, and Simultaneous | segmentation | of the Motion Field |
| Very high resolution Image | segmentation | by combined spectral and structural information |
| Very Low Bit-Rate Video Coding Using Multi-Criterion | segmentation | |
| Very low bit-rate video coding with DFD | segmentation | |
| Very Low Bitrate Video Coding Using Morphological | segmentation | and Contour/Texture Motion Compensation |
| Vessel Bend-Based Cup | segmentation | in Retinal Images |
| Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature | segmentation | and Analysis |
| Vessel | segmentation | and Dirt/Reflection Detection For Retinal Fundus Photographs |
| Vessel | segmentation | from Color Retinal Images with Varying Contrast and Central Reflex Properties |
| Vessel | segmentation | in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier |
| Vessel | segmentation | in Medical Imaging Using a Tight-Frame-Based Algorithm |
| vessel | segmentation | technique for retinal images, A |
| Vessel | segmentation | using prior shape based on tensor analysis for inhomogeneous intensity and weak-edge images |
| Vessel Wall | segmentation | Using Implicit Models and Total Curvature Penalizers |
| VHR satellite image | segmentation | based on topological unsupervised learning |
| VIASEG: Visual Information Assisted Lightweight Point Cloud | segmentation | |
| Video Action | segmentation | via Contextually Refined Temporal Keypoints |
| Video analysis using | segmentation | gain by area |
| Video Analysis, Cut Detection, Scene | segmentation | , Shot Detection, Shot Boundary |
| Video Analysis, Scene | segmentation | for Indexing and Retrieval |
| Video Background | segmentation | Using Adaptive Background Models |
| Video Class Agnostic | segmentation | Benchmark for Autonomous Driving |
| Video Co-Saliency Guided Co- | segmentation | |
| Video Co- | segmentation | |
| Video Co- | segmentation | for Meaningful Action Extraction |
| Video Coding Using Spatial Extrapolation Based Motion Field | segmentation | |
| Video Compression Scheme with Optimal Bit Allocation Among | segmentation | , Motion, and Residual Error, A |
| Video Deblurring via Semantic | segmentation | and Pixel-Wise Non-linear Kernel |
| Video encoder and decoder using motion-based | segmentation | and merging |
| Video Enhancement by Temporal Integration Based on Global | segmentation | Representation of Interframe Spatial Image Transformation |
| Video Event Classification and Image | segmentation | Based on Noncausal Multidimensional Hidden Markov Models |
| Video event | segmentation | and visualisation in non-linear subspace |
| Video Foreground | segmentation | Based on Sequential Feature Clustering |
| Video human | segmentation | based on multiple-cue integration |
| Video Instance | segmentation | |
| Video Instance | segmentation | |
| Video Instance | segmentation | - YouTube-VOS |
| Video Instance | segmentation | - YouTube-VOS |
| Video Instance | segmentation | 2019: A Winning Approach for Combined Detection, Segmentation, Classification and Tracking. |
| Video Instance | segmentation | 2019: A Winning Approach for Combined Detection, Segmentation, Classification and Tracking. |
| Video Instance | segmentation | by Instance Flow Assembly |
| Video Instance | segmentation | Tracking With a Modified VAE Architecture |
| Video Instance | segmentation | via Multi-Scale Spatio-Temporal Split Attention Transformer |
| Video Instance | segmentation | with a Propose-Reduce Paradigm |
| Video K-Net: A Simple, Strong, and Unified Baseline for Video | segmentation | |
| Video Mask Transfiner for High-Quality Video Instance | segmentation | |
| Video modelling and | segmentation | using Gaussian mixture models |
| Video Motion | segmentation | Using New Adaptive Manifold Denoising Model |
| Video object articulation using depth-based content | segmentation | approaches |
| Video Object Co- | segmentation | by Regulated Maximum Weight Cliques |
| Video Object Co- | segmentation | from Noisy Videos by a Multi-Level Hypergraph Model |
| Video Object Co- | segmentation | via Subspace Clustering and Quadratic Pseudo-Boolean Optimization in an MRF Framework |
| Video Object Discovery and Co- | segmentation | with Extremely Weak Supervision |
| Video Object Motion | segmentation | for Intelligent Visual Surveillance |
| Video object plane | segmentation | using a morphological motion filter and Hausdorff object tracking |
| Video Object | segmentation | |
| video object | segmentation | algorithm based on the feature learning and shape tracking, A |
| Video Object | segmentation | and Tracking Framework with Improved Threshold Decision and Diffusion Distance |
| Video object | segmentation | and tracking in stereo sequences using adaptable neural networks |
| Video Object | segmentation | and Tracking Using psi-Learning Classification |
| Video object | segmentation | and tracking using region-based statistics |
| Video Object | segmentation | Based on Edge Tracking |
| Video Object | segmentation | Based on Feedback Schemes Guided by a Low-Level Scene Ontology |
| Video object | segmentation | based on graph cut with dynamic shape prior constraint |
| Video Object | segmentation | Based on Superpixel Trajectories |
| Video object | segmentation | by clustering region trajectories |
| Video object | segmentation | by hypergraph cut |
| Video Object | segmentation | by Learning Location-Sensitive Embeddings |
| Video Object | segmentation | by Salient Segment Chain Composition |
| Video object | segmentation | by tracking regions |
| Video Object | segmentation | for Content-Aware Video Compression |
| Video object | segmentation | for head-shoulder sequences in the cellular neural networks architecture |
| Video object | segmentation | in rainy situations based on difference scheme with object structure and color analysis |
| Video object | segmentation | introducing depth and motion information |
| Video Object | segmentation | of Dynamic Scenes with Large Displacements |
| Video Object | segmentation | through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions |
| Video Object | segmentation | Using Bayes-Based Temporal Tracking and Trajectory-Based Region Merging |
| Video Object | segmentation | Using Convex Optimization of Foreground and Background Distributions |
| Video Object | segmentation | Using Global and Instance Embedding Learning |
| Video Object | segmentation | Using Graphs |
| Video Object | segmentation | Using Kernel-based Models and Spatiotemporal Similarity |
| Video Object | segmentation | Using Kernelized Memory Network With Multiple Kernels |
| Video Object | segmentation | using Point-based Memory Network |
| Video Object | segmentation | Using Space-Time Memory Networks |
| Video Object | segmentation | Via Dense Trajectories |
| Video Object | segmentation | via Global Consistency Aware Query Strategy |
| Video object | segmentation | via random walks on two-frame graphs comprising superpixels |
| Video Object | segmentation | with Dynamic Memory Networks and Adaptive Object Alignment |
| Video Object | segmentation | with Episodic Graph Memory Networks |
| Video Object | segmentation | with Joint Re-identification and Attention-Aware Mask Propagation |
| Video Object | segmentation | with Language Referring Expressions |
| Video Object | segmentation | with Occlusion Map |
| Video Object | segmentation | with Referring Expressions |
| Video object | segmentation | with shape cue based on spatiotemporal superpixel neighbourhood |
| Video Object | segmentation | without Temporal Information |
| Video Object | segmentation | -aware Video Frame Interpolation |
| Video Object | segmentation | -based Visual Servo Control and Object Depth Estimation on a Mobile Robot |
| Video Object | segmentation | : A Compressed Domain Approach |
| Video object tracking and | segmentation | with box annotation |
| Video Objects | segmentation | by Robust Background Modeling |
| Video Objects | segmentation | Using Eulerian Region-Based Active Contours |
| Video Panoptic | segmentation | |
| Video privacy filters with tolerance to | segmentation | errors for video conferencing and surveillance |
| Video region | segmentation | by spatio-temporal watersheds |
| Video Scene | segmentation | Using Spatial Contours and 3-D Robust Motion Estimation |
| Video Scene | segmentation | Using Video and Audio Features |
| Video Scene | segmentation | Via Continuous Video Coherence |
| Video | segmentation | |
| video | segmentation | algorithm for hierarchical object representations and its implementation, A |
| Video | segmentation | and feature co-occurrences for activity classification |
| Video | segmentation | and Its Applications |
| Video | segmentation | and Semantics Extraction from the Fusion of Motion and Color Information |
| Video | segmentation | and Shot Boundary Detection Using Self-Organizing Maps |
| Video | segmentation | based on 2D image analysis |
| Video | segmentation | based on graphical models |
| Video | segmentation | Based on Motion Coherence of Particles in a Video Sequence |
| Video | segmentation | Based on Multiple Features for Interactive Multimedia Applications |
| Video | segmentation | based on patch matching and enhanced Onecut |
| Video | segmentation | based on strong target constrained video saliency |
| Video | segmentation | by MAP Labeling of Watershed Segments |
| Video | segmentation | by Non-Local Consensus voting |
| Video | segmentation | by tracing discontinuities in a trajectory embedding |
| Video | segmentation | by Tracking Many Figure-Ground Segments |
| Video | segmentation | Descriptors for Event Recognition |
| Video | segmentation | for content-based coding |
| Video | segmentation | for Markerless Motion Capture in Unconstrained Environments |
| Video | segmentation | Framework by Dynamic Background Modelling |
| Video | segmentation | in Computer Vision |
| Video | segmentation | in the Wavelet Compressed Domain |
| Video | segmentation | of Life-Logging Videos |
| Video | segmentation | scheme based on AMC |
| Video | segmentation | Through Multiscale Texture Analysis |
| Video | segmentation | using active contours on a group of pictures |
| Video | segmentation | Using Fast Marching and Region Growing Algorithms |
| Video | segmentation | Using Hidden Markov Model with Multimodal Features |
| Video | segmentation | Using Iterated Graph Cuts Based on Spatio-temporal Volumes |
| Video | segmentation | Using Spatial and Temporal Statistical Analysis Method |
| Video | segmentation | using spectral clustering on superpixels |
| Video | segmentation | using statistical pixel modeling |
| Video | segmentation | using vector-valued diffusion and clustering |
| Video | segmentation | via boundary-aware flow |
| Video | segmentation | via Multiple Granularity Analysis |
| Video | segmentation | via Object Flow |
| Video | segmentation | via Temporal Pattern Classification |
| Video | segmentation | with joint object and trajectory labeling |
| Video | segmentation | with Just a Few Strokes |
| Video | segmentation | with Motion Smoothness |
| Video | segmentation | with spatio-temporal tubes |
| Video | segmentation | with Superpixels |
| Video | segmentation | with the Assistance of Audio Content Analysis |
| Video | segmentation | : Propagation, validation and aggregation of a preceding graph |
| Video Semantic Object | segmentation | |
| Video semantic object | segmentation | by self-adaptation of DCNN |
| Video semantic | segmentation | using deep multi-view representation learning |
| Video semantic | segmentation | via feature propagation with holistic attention |
| Video Semantic | segmentation | With Distortion-Aware Feature Correction |
| Video sequence | segmentation | using genetic algorithms |
| Video Shot | segmentation | and Classification |
| Video State-Changing Object | segmentation | |
| Video Story | segmentation | and Its Application to Personal Video Recorders |
| Video Temporal | segmentation | Based on Color Histograms and Cross-Correlation |
| Video-Based Noncooperative Iris Image | segmentation | |
| Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic | segmentation | |
| Video-object | segmentation | and 3D-trajectory estimation for monocular video sequences |
| Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance | segmentation | |
| VideoMatch: Matching Based Video Object | segmentation | |
| View synthesis with 3D object | segmentation | -based asynchronous blending and boundary misalignment rectification |
| View-Based Hand | segmentation | and Hand-Sequence Recognition with Complex Backgrounds |
| View-coherent correlation consistency for semi-supervised semantic | segmentation | |
| View-Consistent 4D Light Field Superpixel | segmentation | |
| View-Invariant Gait Recognition Through Genetic Template | segmentation | |
| ViewAL: Active Learning With Viewpoint Entropy for Semantic | segmentation | |
| Viewpoint-independent book spine | segmentation | |
| Villagefinder: | segmentation | of Nucleated Villages in Satellite Imagery |
| Vine Spread for Superpixel | segmentation | |
| ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic | segmentation | |
| Virtual Halo Effect Using Graph-Cut Based Video | segmentation | |
| Virtual Multi-view Fusion for 3d Semantic | segmentation | |
| Virtual-Real Interaction Approach to Object Instance | segmentation | in Traffic Scenes, A |
| Visibility-driven PET-CT visualisation with region of interest (ROI) | segmentation | |
| Visible and thermal images fusion architecture for few-shot semantic | segmentation | |
| Visible colour difference-based quantitative evaluation of colour | segmentation | |
| Vision Based Lidar | segmentation | for Scan Matching and Camera Fusion |
| Vision Transformers for Semantic | segmentation | |
| Vision-Based Semantic | segmentation | in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks |
| Vision-Based Target Objects Recognition and | segmentation | for Unmanned Systems Task Allocation |
| Vision-Language Transformer and Query Generation for Referring | segmentation | |
| VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance | segmentation | |
| Visual and Textual Prior Guided Mask Assemble for Few-Shot | segmentation | and Beyond |
| Visual attention based small object | segmentation | in natual images |
| Visual Attention Guided Seed Selection for Color Image | segmentation | |
| Visual Collision Avoidance by | segmentation | |
| Visual Dictionary Learning for Joint Object Categorization and | segmentation | |
| Visual Gesture Character String Recognition by Classification-Based | segmentation | with Stroke Deletion |
| Visual information fusion for object-based video image | segmentation | using unsupervised Bayesian online learning |
| Visual Localization and Target Perception Based on Panoptic | segmentation | |
| Visual perception and local features for foreground-background | segmentation | |
| Visual Perception Approach for Accurate | segmentation | of Light Profiles, A |
| Visual Quality Enhancement in Optoacoustic Tomography Using Active Contour | segmentation | Priors |
| Visual Quality Evaluation for Semantic | segmentation | : Subjective Assessment Database and Objective Assessment Measure |
| Visual Quality Evaluation of Image Object | segmentation | : Subjective Assessment and Objective Measure |
| Visual Saliency Based Active Learning for Prostate MRI | segmentation | |
| Visual Surface | segmentation | from Stereo |
| Visual tracking and | segmentation | using Time-of-Flight sensor |
| Visual-Textual Capsule Routing for Text-Based Video | segmentation | |
| Visualizing the Invisible: Occluded Vehicle | segmentation | and Recovery |
| Visually Significant Dynamics for Watershed | segmentation | |
| VLSI architecture for video-object | segmentation | , A |
| VLSI Design and Implementation of a Real-Time Image | segmentation | Processor |
| VLSI implementation of a foveal polygon | segmentation | algorithm |
| VLT: Vision-Language Transformer and Query Generation for Referring | segmentation | |
| VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic | segmentation | |
| Volume Data Coding Based on Region | segmentation | Using Finite Mixture Model |
| Volume preserving image | segmentation | with entropy regularized optimal transport and its applications in deep learning |
| Volume Radius Function: A new descriptor for the | segmentation | of volumetric medical images, The |
| Volume | segmentation | using convolutional neural networks with limited training data |
| Volume-Quantization-Based Neural Network Approach to 3D MR Angiography Image | segmentation | |
| Volumetric Bias in | segmentation | and Reconstruction: Secrets and Solutions |
| Volumetric Layer | segmentation | Using Coupled Surfaces Propagation |
| Volumetric lung nodule | segmentation | in thoracic CT scan using freehand sketch |
| Volumetric Object Reconstruction Using the 3D-MRF Model-Based | segmentation | |
| Volumetric Representation and Sphere Packing of Indoor Space for Three-Dimensional Room | segmentation | |
| Volumetric | segmentation | of brain images using parallel genetic algorithms |
| Volumetric | segmentation | of Medical Images by Three-Dimensional Bubbles |
| Volumetric | segmentation | of Range Images of 3D Objects Using Superquadric Models |
| Volumetric | segmentation | Technique for Diagnosis and Surgical Planning in Lower Torso CT Images, A |
| Volumetric | segmentation | Using Hierarchical Representation And Triangulated Surface |
| Volumetric | segmentation | via 3D active shape models |
| Volumetric Semantic | segmentation | Using Pyramid Context Features |
| Volumetric Texture | segmentation | by Discriminant Feature Selection and Multiresolution Classification |
| VOP generation tool: automatic | segmentation | of moving objects in image sequences based on spatio-temporal information, A |
| Voronoi region-based adaptive unsupervised color image | segmentation | |
| Voronoi++: A Dynamic Page | segmentation | Approach Based on Voronoi and Docstrum Features |
| Voronoi-Based | segmentation | of Cells on Image Manifolds |
| VOSTR: Video Object | segmentation | via Transferable Representations |
| Voting-based active contour | segmentation | of fMRI images of the brain |
| Voxel Based | segmentation | of Large Airborne Topobathymetric Lidar Data |
| Voxel Cloud Connectivity | segmentation | : Supervoxels for Point Clouds |
| Voxel-based 3D Point Cloud Semantic | segmentation | : Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods |
| Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume | segmentation | From 3D Ultrasound Images, A |
| Voxel-based | segmentation | of 3D point clouds from construction sites using a probabilistic connectivity model |
| Voxel-Sweep: A Boundary-based Algorithm for Object | segmentation | and Connected-Components Detection, The |
| Voxel-Wise Gray Scale Invariants for Simultaneous | segmentation | and Classification |
| VQS: Linking | segmentation | s to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation |
| VQS: Linking | segmentation | s to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation |
| VS-Net: Voting with | segmentation | for Visual Localization |
| Vulnerability of Semantic | segmentation | Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing, The |
| Vulnerable Atherosclerotic Plaque Elasticity Reconstruction Based on a | segmentation | -Driven Optimization Procedure Using Strain Measurements: Theoretical Framework |
| VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud | segmentation | |
| W-net: A Convolutional Neural Network for Retinal Vessel | segmentation | |
| Wacnet: Word | segmentation | Guided Characters Aggregation Net for Scene Text Spotting With Arbitrary Shapes |
| Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic | segmentation | |
| Wall Patch-Based | segmentation | in Architectural Floorplans |
| Wall Stone Extraction Based on Stacked Conditional GAN and Multiscale Image | segmentation | |
| Walsh Hadamard kernel-based texture feature for multimodal MRI brain tumour | segmentation | |
| WarpCut: Fast Obstacle | segmentation | in Monocular Video |
| WaSR: A Water | segmentation | and Refinement Maritime Obstacle Detection Network |
| Wasserstein Loss With Alternative Reinforcement Learning for Severity-Aware Semantic | segmentation | |
| Water Areas | segmentation | from Remote Sensing Images Using a Separable Residual SegNet Network |
| Water reservoir based approach for touching numeral | segmentation | |
| Water-Body | segmentation | for SAR Images: Past, Current, and Future |
| Water/land | segmentation | in SAR images using level sets |
| WaterBalloons: A hybrid watershed Balloon Snake | segmentation | |
| Waterfall | segmentation | of Complex Scenes |
| WaterMask: Instance | segmentation | for Underwater Imagery |
| Watershed Algorithms, Watershed | segmentation | |
| Watershed and multimodal data for brain vessel | segmentation | : Application to the superior sagittal sinus |
| Watershed framework to region-based image | segmentation | |
| Watershed from propagated markers: An interactive method to morphological object | segmentation | in image sequences |
| Watershed merge forest classification for electron microscopy image stack | segmentation | |
| Watershed merge tree classification for electron microscopy image | segmentation | |
| Watershed | segmentation | Algorithm Based on LUV Color Space Region Merging for Extracting Slope Hazard Boundaries |
| Watershed | segmentation | of Intervertebral Disk and Spinal Canal from MRI Images |
| Watershed | segmentation | of medical volumes with paint drop marking |
| Watershed | segmentation | Using a Multiscale Ramp Edge Merging Strategy |
| Watershed | segmentation | Using Curvelet and Morphological Filtering |
| Watershed | segmentation | using prior shape and appearance knowledge |
| Watershed | segmentation | Via Case-Based Reasoning |
| Watershed | segmentation | with a Controlled Precision |
| watershed transformation for multiresolution image | segmentation | , The |
| watershed transformation on graphs for the | segmentation | of CT images, The |
| Watershed Transfromation: Reducing the Over- | segmentation | Problem by Applying a Noice Reducer and a Region Merger |
| Watershed-based hierarchical SAR image | segmentation | |
| Watershed-based image | segmentation | with fast region merging |
| Watershed-Based | segmentation | and Region Merging |
| Watershed-Based | segmentation | Technique for Multiresolution Data, A |
| Watershed-driven relaxation labeling for image | segmentation | |
| Watershed- | segmentation | -Based Improved Algorithm for Extracting Cultivated Land Boundaries, A |
| Watersheds of Functions and Picture | segmentation | |
| Watersnakes: Energy-Driven Watershed | segmentation | |
| Wave-Like Class Activation Map With Representation Fusion for Weakly-Supervised Semantic | segmentation | |
| Waveform | segmentation | and Description Using Edge Preserving Smoothing |
| Waveform | segmentation | Through Functional Approximation |
| Wavelet Based Automatic Thresholding for Image | segmentation | |
| Wavelet Features for Statistical Object Localization without | segmentation | |
| Wavelet Filtering for the | segmentation | of Marble Images |
| Wavelet Frame Based Multiphase Image | segmentation | |
| Wavelet Frame Method with Shape Prior for Ultrasound Video | segmentation | , A |
| Wavelet image coding using variable blocksize vector quantization with optimal quadtree | segmentation | |
| Wavelet packets and co-occurrence matrices for texture-based image | segmentation | |
| Wavelet statistical texture features-based | segmentation | and classification of brain computed tomography images |
| Wavelet Texture | segmentation | |
| Wavelet Transform Feature Enhancement for Semantic | segmentation | of Remote Sensing Images |
| Wavelet transform-based locally orderless images for texture | segmentation | |
| Wavelet-based fuzzy multiphase image | segmentation | method |
| Wavelet-based rotational invariant roughness features for texture classification and | segmentation | |
| Wavelet-based | segmentation | on the sphere |
| Wavelet-based texture | segmentation | of remotely sensed images |
| Wavelet-based unsupervised SAR image | segmentation | using hidden markov tree models |
| wavelet-based watershed image | segmentation | for VOP generation, A |
| Waymo Open Dataset: Panoramic Video Panoptic | segmentation | |
| WD-UNeXt: Weight loss function and dropout U-Net with ConvNeXt for automatic | segmentation | of few shot brain gliomas |
| We Need to Communicate: Communicating Attention Network for Semantic | segmentation | of High-Resolution Remote Sensing Images |
| Weak Boundary Preserved Superpixel | segmentation | Based on Directed Graph Clustering |
| Weak | segmentation | supervised deep neural networks for pedestrian detection |
| Weak | segmentation | -guided GAN for Realistic Color Edition |
| Weak supervision for generating pixel-level annotations in scene text | segmentation | |
| Weak supervision using cell tracking annotation and image registration improves cell | segmentation | |
| Weak-Boundary Sensitive Superpixel | segmentation | Based on Local Adaptive Distance |
| Weaklier Supervised Semantic | segmentation | With Only One Image Level Annotation per Category |
| Weakly Supervised 3D Point Cloud | segmentation | via Multi-Prototype Learning |
| Weakly Supervised 3D Scene | segmentation | with Region-Level Boundary Awareness and Instance Discrimination |
| Weakly Supervised 3D Semantic | segmentation | Using Cross-Image Consensus and Inter-Voxel Affinity Relations |
| Weakly supervised action | segmentation | with effective use of attention and self-attention |
| Weakly Supervised Actor-Action | segmentation | via Robust Multi-task Ranking |
| Weakly Supervised Adversarial Domain Adaptation for Semantic | segmentation | in Urban Scenes |
| Weakly Supervised Body Part | segmentation | with Pose based Part Priors |
| Weakly supervised building semantic | segmentation | via superpixel-CRF with initial deep seeds guiding |
| Weakly Supervised Cell Nuclei Detection and | segmentation | on Tissue Microarrays of Renal Clear Cell Carcinoma |
| Weakly Supervised Cell | segmentation | by Point Annotation |
| Weakly Supervised Cell-Instance | segmentation | with Two Types of Weak Labels by Single Instance Pasting |
| Weakly Supervised Consistency-based Learning Method for COVID-19 | segmentation | in CT Images, A |
| Weakly Supervised Convolutional Network for Change | segmentation | and Classification, A |
| weakly supervised deep active contour model for nodule | segmentation | in thyroid ultrasound images, A |
| Weakly Supervised Deep Learning for | segmentation | of Remote Sensing Imagery |
| Weakly Supervised Deep Nuclei | segmentation | Using Partial Points Annotation in Histopathology Images |
| Weakly Supervised Domain Adaptation using Super-pixel labeling for Semantic | segmentation | |
| Weakly Supervised Energy-Based Learning for Action | segmentation | |
| Weakly Supervised Few-Shot | segmentation | via Meta-Learning |
| Weakly Supervised Few-Shot Semantic | segmentation | via Pseudo Mask Enhancement and Meta Learning |
| Weakly supervised fine-grained semantic | segmentation | via spatial correlation-guided learning |
| Weakly Supervised Fire and Smoke | segmentation | in Forest Images with CAM and CRF |
| Weakly supervised food image | segmentation | using class activation maps |
| Weakly Supervised Forest Fire | segmentation | in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware Loss |
| Weakly Supervised Geodesic | segmentation | of Egyptian Mummy CT Scans |
| Weakly Supervised Graph Based Semantic | segmentation | by Learning Communities of Image-Parts |
| weakly supervised inpainting-based learning method for lung CT image | segmentation | , A |
| Weakly Supervised Instance | segmentation | by Deep Community Learning |
| Weakly Supervised Instance | segmentation | by Exploring Entire Object Regions |
| Weakly Supervised Instance | segmentation | by Learning Annotation Consistent Instances |
| Weakly Supervised Instance | segmentation | for Videos with Temporal Mask Consistency |
| Weakly Supervised Instance | segmentation | Using Class Peak Response |
| Weakly supervised instance | segmentation | using multi-prior fusion |
| Weakly supervised instance | segmentation | using multi-stage erasing refinement and saliency-guided proposals ordering |
| Weakly Supervised Instance | segmentation | via Category-aware Centerness Learning with Localization Supervision |
| Weakly Supervised Learning of Dense Semantic Correspondences and | segmentation | |
| Weakly Supervised Learning of Instance | segmentation | With Inter-Pixel Relations |
| Weakly Supervised Learning of Object | segmentation | s from Web-Scale Video |
| Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic | segmentation | : Understanding Semantic Layout of Images with Minimum Human Supervision |
| Weakly Supervised Liver Tumor | segmentation | Using Couinaud Segment Annotation |
| Weakly supervised motion | segmentation | with particle matching |
| Weakly supervised multi-class semantic video | segmentation | for road scenes |
| Weakly Supervised Multi-Object Tracking and | segmentation | |
| Weakly Supervised Multi-task Ranking Framework for Actor-Action Semantic | segmentation | , A |
| Weakly Supervised Multiclass Video | segmentation | |
| Weakly Supervised Object Detection With | segmentation | Collaboration |
| Weakly supervised object localization and | segmentation | in videos |
| Weakly Supervised Object Localization with Stable | segmentation | s |
| Weakly Supervised One Shot | segmentation | |
| Weakly Supervised Part Proposal | segmentation | From Multiple Images |
| Weakly Supervised Pedestrian | segmentation | for Person Re-Identification |
| Weakly supervised point cloud semantic | segmentation | with the fusion of heterogeneous network features |
| Weakly Supervised Referring Image | segmentation | with Intra-Chunk and Inter-Chunk Consistency |
| Weakly Supervised Road | segmentation | in High-Resolution Remote Sensing Images Using Point Annotations |
| Weakly Supervised | segmentation | of COVID19 Infection with Scribble Annotation on CT Images |
| Weakly Supervised | segmentation | of Cracks on Solar Cells Using Normalized Lp Norm |
| Weakly Supervised | segmentation | of SAR Imagery Using Superpixel and Hierarchically Adversarial CRF |
| Weakly Supervised | segmentation | of Small Buildings with Point Labels |
| Weakly Supervised | segmentation | on Outdoor 4D point clouds with Temporal Matching and Spatial Graph Propagation |
| Weakly Supervised | segmentation | with Point Annotations for Histopathology Images via Contrast-Based Variational Model |
| Weakly Supervised | segmentation | -aided Classification of Urban Scenes From 3D Lidar Point Clouds |
| Weakly Supervised Semantic Point Cloud | segmentation | : Towards 10x Fewer Labels |
| Weakly Supervised Semantic | segmentation | by a Class-Level Multiple Group Cosegmentation and Foreground Fusion Strategy |
| Weakly Supervised Semantic | segmentation | by Pixel-to-Prototype Contrast |
| Weakly Supervised Semantic | segmentation | for Joint Key Local Structure Localization and Classification of Aurora Image |
| Weakly supervised semantic | segmentation | for social images |
| Weakly Supervised Semantic | segmentation | in Aerial Imagery via Cross-Image Semantic Mining |
| Weakly supervised semantic | segmentation | of airborne laser scanning point clouds |
| Weakly Supervised Semantic | segmentation | Using Constrained Dominant Sets |
| Weakly supervised semantic | segmentation | using distinct class specific saliency maps |
| Weakly Supervised Semantic | segmentation | using Out-of-Distribution Data |
| Weakly Supervised Semantic | segmentation | Using Web-Crawled Videos |
| Weakly Supervised Semantic | segmentation | via Adversarial Learning of Classifier and Reconstructor |
| Weakly Supervised Semantic | segmentation | via Box-Driven Masking and Filling Rate Shifting |
| Weakly Supervised Semantic | segmentation | via Progressive Patch Learning |
| Weakly supervised semantic | segmentation | with a multi-image model |
| Weakly Supervised Semantic | segmentation | with a Multiscale Model |
| Weakly Supervised Semantic | segmentation | with Boundary Exploration |
| Weakly supervised semantic | segmentation | with superpixel embedding |
| Weakly supervised skin lesion | segmentation | based on spot-seeds guided optimal regions |
| Weakly supervised structured output learning for semantic | segmentation | |
| Weakly Supervised Temporal Anomaly | segmentation | with Dynamic Time Warping |
| Weakly Supervised Top-down Image | segmentation | |
| Weakly Supervised, Self Supervised Semantic | segmentation | |
| Weakly- and Semi-supervised Panoptic | segmentation | |
| Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image | segmentation | |
| Weakly-Supervised 3D Medical Image | segmentation | Using Geometric Prior and Contrastive Similarity |
| Weakly-Supervised Action | segmentation | and Alignment via Transcript-Aware Union-of-Subspaces Learning |
| Weakly-Supervised Action | segmentation | and Unseen Error Detection in Anomalous Instructional Videos |
| Weakly-Supervised Action | segmentation | with Iterative Soft Boundary Assignment |
| Weakly-Supervised Convolutional Neural Networks for Vessel | segmentation | in Cerebral Angiography |
| Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions | segmentation | |
| Weakly-Supervised Cross-Domain Road Scene | segmentation | via Multi-Level Curriculum Adaptation |
| Weakly-Supervised Defect | segmentation | Within Visual Inspection Images of Liquid Crystal Displays in Array Process |
| Weakly-supervised domain adaptation for built-up region | segmentation | in aerial and satellite imagery |
| Weakly-Supervised Domain Adaptive Semantic | segmentation | with Prototypical Contrastive Learning |
| Weakly-Supervised Dual Clustering for Image Semantic | segmentation | |
| Weakly-Supervised Image Annotation and | segmentation | with Objects and Attributes |
| Weakly-supervised Instance | segmentation | via Class-agnostic Learning with Salient Images |
| Weakly-Supervised Object Representation Learning for Few-Shot Semantic | segmentation | |
| Weakly-Supervised Online Action | segmentation | in Multi-View Instructional Videos |
| Weakly-supervised Point Cloud Instance | segmentation | with Geometric Priors |
| Weakly-Supervised RGBD Video Object | segmentation | |
| Weakly-supervised | segmentation | by combining CNN feature maps and object saliency maps |
| Weakly-Supervised Semantic | segmentation | by Iterative Affinity Learning |
| Weakly-Supervised Semantic | segmentation | by Iteratively Mining Common Object Features |
| Weakly-Supervised Semantic | segmentation | by Learning Label Uncertainty |
| Weakly-Supervised Semantic | segmentation | by Redistributing Region Scores Back to the Pixels |
| Weakly-supervised Semantic | segmentation | in Cityscape via Hyperspectral Image |
| Weakly-Supervised Semantic | segmentation | Network with Deep Seeded Region Growing |
| Weakly-Supervised Semantic | segmentation | Network With Iterative dCRF |
| Weakly-Supervised Semantic | segmentation | Using Motion Cues |
| Weakly-supervised semantic | segmentation | via online pseudo-mask correcting |
| Weakly-Supervised Semantic | segmentation | via Sub-Category Exploration |
| Weakly-supervised semantic | segmentation | with saliency and incremental supervision updating |
| Weakly-supervised semantic | segmentation | with superpixel guided local and global consistency |
| Weakly-Supervised Semantic | segmentation | with Visual Words Learning and Hybrid Pooling |
| Weakly-supervised sensor-based activity | segmentation | and recognition via learning from distributions |
| Weakly-Supervised Sparse Coding With Geometric Prior for Interactive Texture | segmentation | |
| Weakly-Supervised Surface Crack | segmentation | by Generating Pseudo-Labels Using Localization With a Classifier and Thresholding |
| Weather-degraded image semantic | segmentation | with multi-task knowledge distillation |
| Webly Supervised Semantic | segmentation | |
| Webly-supervised semantic | segmentation | via curriculum learning |
| Weed Density Estimation Using Semantic | segmentation | |
| Weed-Crop | segmentation | in Drone Images with a Novel Encoder-Decoder Framework Enhanced via Attention Modules |
| Weight-Guided Loss for Long-Tailed Object Detection and Instance | segmentation | |
| Weighted atlas auto-context with application to multiple organ | segmentation | |
| Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image | segmentation | , A |
| weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah image | segmentation | , A |
| weighted edge-based level set method based on multi-local statistical information for noisy image | segmentation | , A |
| Weighted ICP Point Clouds Registration By | segmentation | Based On Eigenfeatures Clustering |
| Weighted Level Set Evolution Based on Local Edge Features for Medical Image | segmentation | |
| Weighted Local Variance-Based Edge Detection and Its Application to Vascular | segmentation | in Magnetic Resonance Angiography |
| Weighted Shape-Based Averaging With Neighborhood Prior Model for Multiple Atlas Fusion-Based Medical Image | segmentation | |
| Weighted superpixel | segmentation | |
| Weighted variational model for selective image | segmentation | with application to medical images |
| Weighted-Gradient Features for Handwritten Line | segmentation | |
| Weighting function in Random Walk based left ventricle | segmentation | |
| What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions | segmentation | |
| What Can We Learn from Biological Vision Studies for Human Motion | segmentation | ? |
| What Does Really Count? Estimating Relevance of Corner Cases for Semantic | segmentation | in Automated Driving |
| What is a good evaluation measure for semantic | segmentation | ? |
| What is the Best Data Augmentation for 3D Brain Tumor | segmentation | ? |
| What's Outside the Intersection? Fine-grained Error Analysis for Semantic | segmentation | Beyond IoU |
| What's the Point: Semantic | segmentation | with Point Supervision |
| When 3D Bounding-Box Meets SAM: Point Cloud Instance | segmentation | with Weak-and-Noisy Supervision |
| When CNN Meet with VIT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic | segmentation | |
| When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and | segmentation | |
| When Visual Disparity Generation Meets Semantic | segmentation | : A Mutual Encouragement Approach |
| Where are my clothes? A multi-level approach for evaluating deep instance | segmentation | architectures on fashion images |
| Which Pixel to Annotate: A Label-Efficient Nuclei | segmentation | Framework |
| White Blood Cell Nuclei | segmentation | Using Level Set Methods and Geometric Active Contours |
| White matter lesion | segmentation | based on feature joint occurrence probability and [chi]2 random field theory from magnetic resonance (MR) images |
| White Matter MS-Lesion | segmentation | Using a Geometric Brain Model |
| White Matter Supervoxel | segmentation | by Axial DP-Means Clustering |
| Who Blocks Who: Simultaneous clothing | segmentation | for grouping images |
| Whole Heart Region | segmentation | from CT and MRI Images Using a Hybrid Model |
| whole mesh Deformation Model for 2D and 3D image | segmentation | , The |
| whole-slide pathology | segmentation | framework for the diagnosis of non-small cell lung cancer, A |
| Why Handwriting | segmentation | Can Be Misleading |
| Wide Spread of Algorithms for Automatic | segmentation | of Dermoscopic Images, A |
| Wide-Baseline Multi-View Video | segmentation | for 3D Reconstruction |
| Widening residual skipped network for semantic | segmentation | |
| WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and | segmentation | |
| Wildfire | segmentation | Using Deep Vision Transformers |
| WildNet: Learning Domain Generalized Semantic | segmentation | from the Wild |
| WinCLIP: Zero-/Few-Shot Anomaly Classification and | segmentation | |
| Wire | segmentation | for printed circuit board using deep convolutional neural network and graph cut model |
| Wireless Capsule Endoscopy Color Video | segmentation | |
| Wireless Capsule Endoscopy | segmentation | using Global-Constrained Hidden Markov Model and Image Registration |
| WITS: Weakly-supervised individual tooth | segmentation | model trained on box-level labels |
| Wnet: Audio-Guided Video Object | segmentation | via Wavelet-Based Cross- Modal Denoising Networks |
| Wold Features for Unsupervised Texture | segmentation | |
| Woody Biomass Estimation in a Southwestern U.S. Juniper Savanna Using LiDAR-Derived Clumped Tree | segmentation | and Existing Allometries |
| Word and Character | segmentation | for Bangla Handwriting Analysis and Recognition |
| Word Recognition in a | segmentation | -Free Approach to OCR |
| Word | segmentation | and Baseline Detection in Handwritten Documents Using Isothetic Covers |
| Word | segmentation | in handwritten Korean text lines based on gap clustering techniques |
| Word | segmentation | Method for Handwritten Documents based on Structured Learning |
| Word | segmentation | of handwritten dates in historical documents by combining semantic a-priori-knowledge with local features |
| Word | segmentation | of printed text lines based on gap clustering and special symbol detection |
| Word | segmentation | using Wigner-Ville distribution |
| Worst-Case Local Boundary Precision in Global Measures of | segmentation | Reproducibility |
| Wrapper-Based Approach to Image | segmentation | and Classification, A |
| WSF-NET: Weakly Supervised Feature-Fusion Network for Binary | segmentation | in Remote Sensing Image |
| WSNet: Towards An Effective Method for Wound Image | segmentation | |
| WTS: A Weakly towards Strongly Supervised Learning Framework for Remote Sensing Land Cover Classification Using | segmentation | Models |
| X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View | segmentation | |
| X-net with Different Loss Functions for Cell Image | segmentation | |
| X-ray image | segmentation | using wavelet method |
| X3SEG: Model-Agnostic Explanations for the Semantic | segmentation | of 3D Point Clouds With Prototypes and Criticism |
| XANet: An Efficient Remote Sensing Image | segmentation | Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion |
| Xanthoceras sorbifolium crack | segmentation | method based on an improved level set, A |
| XMem++: Production-level Video | segmentation | From Few Annotated Frames |
| XMem: Long-Term Video Object | segmentation | with an Atkinson-Shiffrin Memory Model |
| xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic | segmentation | |
| XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic | segmentation | of Biomedical Images |
| YaDiV: An open platform for 3D visualization and 3D | segmentation | of medical data |
| Yeast cell detection in color microscopic images using ROC-optimized decoloring and | segmentation | |
| Yet Another Survey on Image | segmentation | : Region and Boundary Information Integration |
| YOLACT++ Better Real-Time Instance | segmentation | |
| YOLACT: Real-Time Instance | segmentation | |
| YOLO2U-Net: Detection-guided 3D instance | segmentation | for microscopy |
| You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic | segmentation | |
| You Only Need The Image: Unsupervised Few-Shot Semantic | segmentation | With Co-Guidance Network |
| You Only Segment Once: Towards Real-Time Panoptic | segmentation | |
| YouMVOS: An Actor-centric Multi-shot Video Object | segmentation | Dataset |
| Your Input Matters: Comparing Real-Valued PolSAR Data Representations for CNN-Based | segmentation | |
| YouTube-VOS: Sequence-to-Sequence Video Object | segmentation | |
| Z-shaped nonlinear transform for image | segmentation | and classification in intelligent debris analysis, A |
| Z-trees: adaptive pyramid-algorithms for image | segmentation | |
| ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic | segmentation | |
| Zernike moment and local distribution fitting fuzzy energy-based active contours for image | segmentation | |
| Zero-guidance | segmentation | Using Zero Segment Labels |
| Zero-Shot Instance | segmentation | |
| Zero-Shot Point Cloud | segmentation | by Semantic-Visual Aware Synthesis |
| Zero-shot Referring Image | segmentation | with Global-Local Context Features |
| Zero-shot semantic | segmentation | via spatial and multi-scale aware visual class embedding |
| Zero-Shot Semantic | segmentation | via Variational Mapping |
| Zero-shot Unsupervised Transfer Instance | segmentation | |
| Zero-Shot Video Object | segmentation | via Attentive Graph Neural Networks |
| Zero-Shot Video Object | segmentation | With Co-Attention Siamese Networks |
| ZeroWaste Dataset: Towards Deformable Object | segmentation | in Cluttered Scenes |
| Zig-Zag Network for Semantic | segmentation | of RGB-D Images |
| ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object | segmentation | |
| zonemap metric for page | segmentation | and area classification in scanned documents, The |
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