Index for scale

_scale_
100-Driver: A Large-scale, Diverse Dataset for Distracted Driver Classification
2-D Pseudospectral Time-Domain (PSTD) Simulator for Large-scale Electromagnetic Scattering and Radar Sounding Applications, A
2D vs. 3D Change Detection Using Aerial Imagery to Support Crisis Management of Large-scale Events
2D-2D geometric transformation invariant to arbitrary translations, rotations and scales
2nd YouTube-8M Large-scale Video Understanding Challenge, The
3-D Object Recognition Based on Integration of Range Image and Gray-scale Image
3-D Object Recognition Using Adaptive scale MEGI
3-D Scene Management Method Based on the Triangular Mesh for Large-scale Web3D Scenes, A
3D Color CLUT Compression by Multi-scale Anisotropic Diffusion
3D Digitisation of Large-scale Unstructured Great Wall Heritage Sites by a Small Unmanned Helicopter
3D facial expression recognition via multiple kernel learning of Multi-scale Local Normal Patterns
3D Fine-scale Terrain Variables from Underwater Photogrammetry: A New Approach to Benthic Microhabitat Modeling in a Circalittoral Rocky Shelf
3D Geometric scale Variability in Range Images: Features and Descriptors
3D Gesture Analysis Using a Large-scale Gesture Database
3D keypoint detection by light field scale-depth space analysis
3D laser measurement system for large scale architectures using multiple mobile robots
3D Local scale Solar Radiation Model Based on Urban Lidar Data
3D lung nodule candidate detection in multiple scales
3D Multi-scale Convolutional Networks for Glioma Grading Using MR Images
3D Object Classification Using scale Invariant Heat Kernels with Collaborative Classification
3D Object Recognition by Eigen-scale-Space of Contours
3D object recognition from large-scale point clouds with global descriptor and sliding window
3D object recognition using scale-invariant features
3D Object Representation Using Transform and scale Invariant 3D Features
3D Point Cloud Registration with Multi-scale Architecture and Unsupervised Transfer Learning
3D Semantic Parsing of Large-scale Indoor Spaces
3d Semantic Segmentation for Large-scale Scene Understanding
3D Shape Modelling Using a Multi-scale Surface Model
3D Simplification Methods and Large scale Terrain Tiling
3D Soma Detection in Large-scale Whole Brain Images via a Two-Stage Neural Network
3D Structure from Multiple Images of Large-scale Environments
3D Surface Reconstruction: Multi-scale Hierarchical Approaches
3D Target scale Estimation and Motion Segmentation for Size Preserving Tracking in PTZ Video
3D Target scale Estimation and Target Feature Separation for Size Preserving Tracking in PTZ Video
3D Target scale Estimation for Size Preserving in PTZ Video Tracking
3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology
3D visual reconstruction of large scale natural sites and their fauna
3D-capabilities required by users of the 2D-large scale topographic reference database in Flanders, Belgium
3D-PCGR: Colored Point Cloud Generation and Reconstruction with Surface and scale Constraints
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds
3DMAX-Net: A Multi-scale Spatial Contextual Network for 3D Point Cloud Semantic Segmentation
3DMiner: Discovering Shapes from Large-scale Unannotated Image Datasets
3DSN-Net: A 3-D scale-Aware convNet With Nonlocal Context Guidance for Kidney and Tumor Segmentation From CT Volumes
4D Filtering and Calibration Technique for Small-scale Point Cloud Change Detection with a Terrestrial Laser Scanner, A
4D GIS for Monitoring River Bank Erosion At Meander Bend scale: Case of Moselle River
4DFAB: A Large scale 4D Database for Facial Expression Analysis and Biometric Applications
6DOF decoupled roto-translation alignment of large-scale indoor point clouds
8-Day and Daily Maximum and Minimum Air Temperature Estimation via Machine Learning Method on a Climate Zone to Global scale
: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
A2RMNet: Adaptively Aspect Ratio Multi-scale Network for Object Detection in Remote Sensing Images
Above-Ground Objects in Urban Scenes from Medium scale Aerial Imagery
Absolute scale in structure from motion from a single vehicle mounted camera by exploiting nonholonomic constraints
Abstraction and scale-Space Events in Image Understanding
ACAV100M: Automatic Curation of Large-scale Datasets for Audio-Visual Video Representation Learning
Accelerated Large scale Optimization by Concomitant Hashing
Accelerated Multi-View Stereo for 3D Reconstruction of Transmission Corridor with Fine-scale Power Line
Accelerated Variance Reduction Stochastic ADMM for Large-scale Machine Learning
Accelerating multi-scale flows for LDDKBM diffeomorphic registration
Accelerating Topic Detection on Web for a Large-scale Data Set via Stochastic Poisson Deconvolution
Accordion Representation Based Multi-scale Covariance Descriptor for Multi-shot Person Re-Identification
Accumulated Stability Voting: A Robust Descriptor from Descriptors of Multiple scales
Accuracy and Spatial Variability in GPS Surveying For Landslide Mapping On Road Inventories At A Semi-detailed scale: The Case In Colombia
Accuracy Assessment of Landform Classification Approaches on Different Spatial scales for the Iranian Loess Plateau
Accuracy Evaluation of Ionospheric Delay from Multi-scale Reference Networks and Its Augmentation to PPP during Low Solar Activity
Accuracy of large-scale canopy heights derived from LiDAR data under operational constraints in a complex alpine environment
Accurate and Efficient Approximation of the Continuous Gaussian scale-Space
Accurate and Efficient Supervoxel Re-Segmentation Approach for Large-scale Point Clouds Using Plane Constraints, An
Accurate Edge Detection for Multiple scale Processing
Accurate Image Search with Multi-scale Contextual Evidences
Accurate Maps of Reef-scale Bathymetry with Synchronized Underwater Cameras and GNSS
Accurate Multiple View 3D Reconstruction Using Patch-Based Stereo for Large-scale Scenes
Accurate optical flow estimation using adaptive scale-space and 3d structure tensor
Accurate scale Adaptive and Real-Time Visual Tracking with Correlation Filters
Accurate scale estimation based on unsynchronized camera network
Accurate scale Estimation for Robust Visual Tracking
Accurate scale estimation for visual tracking with significant deformation
Accurate scale Factor Estimation in 3D Reconstruction
Accurate Scene Text Detection Via scale-Aware Data Augmentation and Shape Similarity Constraint
Accurate Silhouette Vectorization by Affine scale-Space
Acquire High Quality Meshes of scale Models for an Automatic Modelling Process
Acquiring Multi-scale Images by Pan-Tilt-Zoom Control and Automatic Multi-Camera Calibration
Across scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning
Action, Gesture, and Emotion Recognition Competitions: Large scale Multimodal Gesture Recognition and Real Versus Fake Expressed Emotions
Activating More Information in Arbitrary-scale Image Super-Resolution
Active contour driven by adaptive-scale local-energy signed pressure force function based on bias correction for medical image segmentation
Active Contours Using Finite Elements to Control Local scale
Active Detection and Classification of Junctions by Foveation with a Head-Eye System Guided by the scale-Space Primal Sketch
Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study
Active shape model unleashed with multi-scale local appearance
Activity guided multi-scales collaboration based on scaled-CNN for saliency prediction
Activity Recognition Using Deep Recurrent Neural Network on Translation and scale-Invariant Features
ActivityNet: A large-scale video benchmark for human activity understanding
Adapting scale by Minimising Spectral Defocusing for Shape from Texture
Adapting Spectral scale for Shape from Texture
Adaptive algorithm for large scale DTM interpolation from lidar data for forestry applications in steep forested terrain
Adaptive and Extensible System for Satellite-Based, Large scale Burnt Area Monitoring in Near-Real Time, An
Adaptive Approach to scale Selection for Line and Edge-Detection, An
Adaptive Continuous-scale Morphology for Matrix Fields
adaptive cross-scale transformer based on graph signal processing for person re-identification, An
Adaptive Determination of Filter scales for Edge Detection
Adaptive Filter for Deep Learning Networks on Large-scale Point Cloud, An
Adaptive Finite Element Method for Large scale Image Processing, An
Adaptive Fractional-order Multi-scale Method for Image Denoising
Adaptive General scale Interpolation Based on Weighted Autoregressive Models
Adaptive generation of variable-scale network maps for small displays based on line density distribution
Adaptive Gray scale Mapping to Reduce Registration Noise in Difference Images
Adaptive image denoising and edge enhancement in scale-space using the wavelet transform
Adaptive image denoising using scale and space consistency
Adaptive Image Segmentation Method with Automatic Selection of Optimal scale for Extracting Cropland Parcels in Smallholder Farming Systems, An
Adaptive Least-Squares Collocation Algorithm Considering Distance scale Factor for GPS Crustal Velocity Field Fitting and Estimation
Adaptive Local Implicit Image Function for Arbitrary-scale Super-Resolution
Adaptive Multi-scale Approach for Estimating Optical Flow: Computational Theory and Physiological Implementation, An
Adaptive Multi-scale Contrast Enhancement Through Non-Linear Pyramid Recombination
Adaptive Multi-scale Progressive Probability Model for Lossless Image Compression
Adaptive online transmission of 3D texmesh using scale-space analysis
Adaptive Perceptual Pattern-Recognition by Self-Organizing Neural Networks: Context, Uncertainty, Multiplicity, and scale
Adaptive Performance Optimization for Large-scale Traffic Control Systems
Adaptive Real-Time Rendering for Large-scale Molecular Models
Adaptive Rendering for Large-scale Skyline Characterization and Matching
Adaptive RNN Tree for Large-scale Human Action Recognition
Adaptive scale Filtering: A General-Method For Obtaining Shape From Texture
Adaptive scale Fixing for Multiscale Texture Segmentation
Adaptive scale Selection for Hierarchical Stereo
Adaptive scale selection for multiresolution defocus blur estimation
Adaptive Spot Detection With Optimal scale Selection in Fluorescence Microscopy Images
Adaptive stereo matching in correlation scale-space
Adaptive Stick-Like Features for Human Detection Based on Multi-scale Feature Fusion Scheme
Adaptive Texture Synthesis for Large scale City Modeling
Adaptive Wiener Denoising Using a Gaussian scale Mixture Model in the Wavelet Domain
Adaptive Word Embedding Module for Semantic Reasoning in Large-scale Detection
Adaptive workload-dependent scheduling for large-scale content delivery systems
adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation, An
Adaptive-scale determining for edge detecion in correlated texture noise
Adaptive-scale Filtering and Feature Detection Using Range Data
Adaptive-scale Robust Estimator Using Distribution Model Fitting
Adaptively Merging Large-scale Range Data with Reflectance Properties
AdaZoom: Towards scale-Aware Large Scene Object Detection
Adding scale to the Primal Sketch
Addressing Missing Labels in Large-scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking
Adjacent-Track InSAR Processing for Large-scale Land Subsidence Monitoring in the Hebei Plain
Adjunctions in Pyramids, Curve Evolution and scale-Spaces
Advanced blocs classification for fast encoding in fractal-based gray-scale images compression
Advanced Framework for Multi-scale Forest Structural Parameter Estimations Based on UAS-LiDAR and Sentinel-2 Satellite Imagery in Forest Plantations of Northern China, An
Advancing High-Resolution Video-Language Representation with Large-scale Video Transcriptions
Advancing the Mapping of Mangrove Forests at National-scale Using Sentinel-1 and Sentinel-2 Time-Series Data with Google Earth Engine: A Case Study in China
Adversarial Cross-scale Alignment Pursuit for Seriously Misaligned Person Re-Identification
Adversarial Patch Attack on Multi-scale Object Detection for UAV Remote Sensing Images
AE-GAN-Net: Learning Invariant Feature Descriptor to Match Ground Camera Images and a Large-scale 3D Image-Based Point Cloud for Outdoor Augmented Reality
Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings
Aerial Imagery-Based Building Footprint Detection with an Integrated Deep Learning Framework: Applications for Fine scale Wildland-Urban Interface Mapping
Aerial video surveillance system for small-scale UAV environment monitoring
AF-EMS Detector: Improve the Multi-scale Detection Performance of the Anchor-Free Detector
AF-Net: All-scale Feature Fusion Network for Road Extraction from Remote Sensing Images
AF-OSD: An Anchor-Free Oriented Ship Detector Based on Multi-scale Dense-Point Rotation Gaussian Heatmap
Affine Curvature scale Space with Affine Length Parametrisation
Affine Invariant scale-Space
Affine Registration with Multi-scale Autoconvolution
Affine Template Matching Based on Multi-scale Dense Structure Principal Direction
Affine-Invariant Contour Tracking with Automatic Control of Spatiotemporal scale
Affine-invariant Gray-scale Character Recognition Using GAT Correlation
Affine-Invariant Recognition of Gray-scale Characters Using Global Affine Transformation Correlation
Affine-scale invariant feature transform and two-dimensional principal component analysis: a novel framework for affine and scale invariant face recognition
Affine-scale invariant feature transform and two-dimensional principal component analysis: a novel framework for affine and scale invariant face recognition
AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose
Age Estimation by Multi-scale Convolutional Network
Aggregation of Binary Feature Descriptors for Compact Scene Model Representation in Large scale Structure-from-Motion Applications
AgriSen-COG, a Multicountry, Multitemporal Large-scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning
AgSAT: A Smart Irrigation Application for Field-scale Daily Crop ET and Water Requirements Using Satellite Imagery
AI-Oriented Large-scale Video Management for Smart City: Technologies, Standards, and Beyond
Airbirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports
Airborne Hyperspectral Data Predict Fine-scale Plant Species Diversity in Grazed Dry Grasslands
Airborne Laser Swath Mapping: Quantifying changes in sandy beaches over time scales of weeks to years
Airplane Object Detection in Satellite Images Based on Attention Mechanism and Multi-scale Feature Fusion
Algebraic and PDE Approaches for Lattice scale-Spaces with Global Constraints
Algebraic and PDE approaches for multi-scale image operators with global constraints: reference semi-lattice erosions and levelings
Algebraic Framework for Linear and Morphological scale-Spaces
Algorithm for Boundary Adjustment toward Multi-scale Adaptive Segmentation of Remotely Sensed Imagery, An
Algorithm for Estimating Small scale Differences Between Two Digital Images, An
Algorithm for scale- and Rotation-Invariant Recognition of Two-Dimensional Objects, An
algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods, An
Algorithm to Detect Endangered Cultural Heritage by Agricultural Expansion in Drylands at a Global scale, An
Algorithms for electric vehicle scheduling in large-scale mobility-on-demand schemes
Algorithms for the Decomposition of Gray-scale Morphological Operations
almost complete curvature scale space representation: Euclidean case, An
Alpha scale Spaces on a Bounded Domain
AMS-Net: Adaptive Multi-scale Network for Image Compressive Sensing
AMS-Net: An Attention-Based Multi-scale Network for Classification of 3D Terracotta Warrior Fragments
Analysing and simplifying histograms using scale-trees
Analysis and Classification of Natural and Human-Induced Ground Deformations at Regional scale (Campania, Italy) Detected by Satellite Synthetic-Aperture Radar Interferometry Archive Datasets
Analysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas
Analysis control middleware for large-scale video surveillance
Analysis of Aerosol Images using the scale-Space Primal Sketch
Analysis of Brain Activation Patterns Using a 3-D scale-Space Primal Sketch
Analysis of Drought Impact on Croplands from Global to Regional scale: A Remote Sensing Approach
Analysis of Facial Profiles Using scale Space Techniques, The
analysis of facial shape and texture for recognition: A large scale evaluation on FRGC ver2.0, An
Analysis of Orientation and scale in Smoothly Varying Textures
Analysis of Radar and Optical Space Borne Data for Large scale Topographical Mapping
Analysis of results of large-scale multimodal biometric identity verification experiment
Analysis of scale Invariance in Object Detection - SNIP, An
analysis of scale-space sampling in SIFT, An
Analysis of Spatio-Temporal Dynamics of Chinese Inland Water Clarity at Multiple Spatial scales between 1984 and 2018
Analysis of the Aggregation Characteristics and Influencing Elements of Urban Catering Points in Small scale: Methods and Results
Analysis of the Factors Affecting Keypoint Stability in scale-Space, An
Analysis of the Optimal Wavelength for Oceanographic Lidar at the Global scale Based on the Inherent Optical Properties of Water
Analytic Approach to Tensor scale with an Efficient Algorithm and Applications to Image Filtering, An
Analyzing Links between Spatio-Temporal Metrics of Built-Up Areas and Socio-Economic Indicators on a Semi-Global scale
Analyzing Social-Geographic Human Mobility Patterns Using Large-scale Social Media Data
Analyzing the Distribution of a Large-scale Character Pattern Set Using Relative Neighborhood Graph
Analyzing the multi-scale characteristic for online car-hailing traffic volume with quantum walk
Analyzing Urban Human Mobility Patterns through a Thematic Model at a Finer scale
ANAS: Asymptotic NAS for large-scale proxyless search and multi-task transfer learning
Anchor Free Network for Multi-scale Face Detection
Anchor Loss: Modulating Loss scale Based on Prediction Difficulty
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos
AnimalWeb: A Large-scale Hierarchical Dataset of Annotated Animal Faces
Animation Validation of Obese Virtual Pediatric Patients Using a FLACC Pain scale
AnimeCeleb: Large-scale Animation CelebHeads Dataset for Head Reenactment
Anisotropic Continuous-scale Morphology
Anisotropic Multi-scale Graph Convolutional Network for Dense Shape Correspondence
Anisotropic-scale Junction Detection and Matching for Indoor Images
Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization
Annual Large-scale Urban Land Mapping Based on Landsat Time Series in Google Earth Engine and OpenStreetMap Data: A Case Study in the Middle Yangtze River Basin
Antarctic-scale Ice Flow Lines Map Generation and Basin Delineation
Anti-UAV: A Large-scale Benchmark for Vision-Based UAV Tracking
Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB
AnyFlow: Arbitrary scale Optical Flow with Implicit Neural Representation
APAN: Across-scale Progressive Attention Network for Single Image Deraining
Appearance-based Loop Closure Detection with scale-restrictive Visual Features
Applicability of Earth Observation for Identifying Small-scale Mining Footprints in a Wet Tropical Region
Applicability of Precipitation Products in the Endorheic Basin of the Yellow River under Multi-scale in Time and Modality
Application of Baddeley's distance to dissimilarity measurement between gray scale images
Application of Landsat TM 5 images to supervised and non-supervised classifications in the northeastern region of Argentina (South America). Creating proxies to automatic natural resources monitoring in mid-detail scales
Application of Sensor/Weapon-Target Assignment based on Multi-scale Quantum Harmonic Oscillator Algorithm
Application of the Convergence of the Control Net of Box Splines to scale-Space Filtering
Application of the convergence of the control points of B-splines to wavelet decomposition at rational scales and rational location
Application of the Hausdorff Metric in Gray-scale Mathematical Morphology via Truncated Umbrae
Application of the Regional Water Mass Variations from GRACE Satellite Gravimetry to Large-scale Water Management in Africa
Application of the UPRE Method to Optimal Parameter Selection for Large scale Regularization Problems
Application Of Time Series Insar Technique For Deformation Monitoring Of Large-scale Landslides In Mountainous Areas Of Western China
Application Perspective of 2D+scale Dimension
Applications of TRMM- and GPM-Era Multiple-Satellite Precipitation Products for Flood Simulations at Sub-Daily scales in a Sparsely Gauged Watershed in Myanmar
Applications of Universal Context Modeling to Lossless Compression of Gray-scale Images
Applying Detection Proposals to Visual Tracking for scale and Aspect Ratio Adaptability
Approach to Large-scale Cement Plant Detection Using Multisource Remote Sensing Imagery, An
Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National scales
Approaches to Large-scale Urban Modeling
Appropriate-scale Local Centers: A Foundation for Parts-Based Recognition
Approximate Gaussian Mixtures for Large scale Vocabularies
Approximating Filtered scale-Variant Signals
ARAUS: A Large-scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes
Arbitrary View Position and Direction Rendering for Large-scale Scenes
Arbitrary-Oriented Inshore Ship Detection based on Multi-scale Feature Fusion and Contextual Pooling on Rotation Region Proposals
Arbitrary-Resolution and Arbitrary-scale Face Super-Resolution with Implicit Representation Networks
Arbitrary-scale Image Synthesis
Arbitrary-scale Texture Generation From Coarse-Grained Control
Architecture and Applications of DADO: A Large-scale Parallel Computer for Artificial Intelligence
Architecture, Dataset and Model-scale Agnostic Data-free Meta-Learning
Arctic Multiyear Ice Areal Flux and Its Connection with Large-scale Atmospheric Circulations in the Winters of 2002-2021
Are Large-scale 3D Models Really Necessary for Accurate Visual Localization?
Are Measured Ground Control Points Still Required In UAV Based Large scale Mapping? Assessing the Positional Accuracy of An RTK Multi-rotor Platform
Area and Length Preserving Geometric Invariant scale-Spaces
Art of scale-Space, The
Artifact: A Large-scale Dataset With Artificial And Factual Images For Generalizable And Robust Synthetic Image Detection
Artificial bee colony algorithm with generating neighbourhood solution for large scale coloured traveling salesman problem
Artificial Light at Night is Related to Broad-scale Stopover Distributions of Nocturnally Migrating Landbirds along the Yucatan Peninsula, Mexico
ASPP+-LANet: A Multi-scale Context Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images
Assembly101: A Large-scale Multi-View Video Dataset for Understanding Procedural Activities
Assessing a Temporal Change Strategy for Sub-Pixel Land Cover Change Mapping from Multi-scale Remote Sensing Imagery
Assessing Across-scale Optical Diversity and Productivity Relationships in Grasslands of the Italian Alps
Assessing Alternatives for Modeling the Spatial Distribution of Multiple Land-cover Classes at Sub-pixel scales
Assessing Changes in Boreal Vegetation of Kola Peninsula via Large-scale Land Cover Classification between 1985 and 2021
Assessing Face Image Quality: A Large-scale Database and a Transformer Method
Assessing Near Real-Time Satellite Precipitation Products for Flood Simulations at Sub-Daily scales in a Sparsely Gauged Watershed in Peruvian Andes
Assessing Rice Sheath Blight Disease Habitat Suitability at a Regional scale through Multisource Data Analysis
Assessing scale Dependence on Local Sea Level Retrievals from Laser Altimetry Data over Sea Ice
Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-scale Wildfire-Burned Area Mapping: Insights from the 2017-2019 Canada Wildfires
Assessing Spatiotemporal Variations of Sentinel-1 InSAR Coherence at Different Time scales over the Atacama Desert (Chile) between 2015 and 2018
Assessing Sponge Cities Performance at City scale Using Remotely Sensed LULC Changes: Case Study Nanjing
Assessing the Applications of Earth Observation Data for Monitoring Artisanal and Small-scale Gold Mining (ASGM) in Developing Countries
Assessing the capability of Sentinel-2 time-series to estimate soil organic carbon and clay content at local scale in croplands
Assessing the Effects of Spatial scales on Regional Evapotranspiration Estimation by the SEBAL Model and Multiple Satellite Datasets: A Case Study in the Agro-Pastoral Ecotone, Northwestern China
Assessing the Performance of Irrigation Systems in Large scale Urban Parks: Application to the Case of Valdebebas, Madrid (Spain)
Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict scale
Assessing the Spatial Accessibility of Urban Medical Facilities in Multi-Level and Multi-Period scales Based on Web Mapping API and an Improved Potential Model
Assessment and Mapping of Spatio-Temporal Variations in Human Mortality-Related Parameters at European scale
Assessment of Drought Indexes on Different Time scales: A Case in Semiarid Mediterranean Grasslands
Assessment of Large-scale Seasonal River Morphological Changes in Ayeyarwady River Using Optical Remote Sensing Data
Assessment of Multi-scale SMOS and SMAP Soil Moisture Products across the Iberian Peninsula
Assessment of RTK Quadcopter and Structure-from-Motion Photogrammetry for Fine-scale Monitoring of Coastal Topographic Complexity
Assessment of Suitable Gridded Climate Datasets for Large-scale Hydrological Modelling over South Korea
Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal scales Using Global AERONET Measurements
Assessment of Urban Dynamics to Understand Spatiotemporal Differentiation at Various scales Using Remote Sensing and Geospatial Tools
Assignment and Take-Off Approaches for Large-scale Autonomous UAV Swarms
Assignment-Based Approach to Efficient Real-Time City-scale Taxi Dispatching, An
Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-scale Jujube Yield Forecasts
Associating Multi-scale Receptive Fields For Fine-Grained Recognition
Association between the Biophysical Environment in Coastal South China Sea and Large-scale Synoptic Circulation Patterns: The Role of the Northwest Pacific Subtropical High and Typhoons
Associative Embeddings for Large-scale Knowledge Transfer with Self-Assessment
Associative Memory for Gray-scale Images
ASUR3D: Arbitrary scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields
Asymmetric Cross-scale Alignment for Text-Based Person Search
Asymmetric Cyclical Hashing for Large scale Image Retrieval
Asymmetric Learned Image Compression With Multi-scale Residual Block, Importance Scaling, and Post-Quantization Filtering
Asymmetric Sparse Kernel Approximations for Large-scale Visual Search
Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-scale Dataset TBRSD
Atom specific multiple kernel dictionary based Sparse Representation Classifier for medium scale image classification
Attention Based Glaucoma Detection: A Large-scale Database and CNN Model
Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-scale Feature Fusion
Attention Fusion for Audio-Visual Person Verification Using Multi-scale Features
Attention Fusion of Transformer-Based and scale-Based Method for Hyperspectral and LiDAR Joint Classification
Attention Guided Low-Light Image Enhancement with a Large scale Low-Light Simulation Dataset
Attention Multi-scale Network for Automatic Layer Extraction of Ice Radar Topological Sequences
Attention to scale: Scale-Aware Semantic Image Segmentation
Attention to scale: Scale-Aware Semantic Image Segmentation
Attention to the scale: Deep Multi-Scale Salient Object Detection
Attention to the scale: Deep Multi-Scale Salient Object Detection
Attention-adaptive multi-scale feature aggregation dehazing network
Attention-Based Deep Ensemble Net for Large-scale Online Taxi-Hailing Demand Prediction
Attention-Based Multi-scale Feature Fusion for Free-Space Detection
Attention-Guided Multi-scale Segmentation Neural Network for Interactive Extraction of Region Objects from High-Resolution Satellite Imagery
Attribute annotation on large-scale image database by active knowledge transfer
Attribute-Aware Deep Hashing with Self-Consistency for Large-scale Fine-Grained Image Retrieval
Attribution in scale and Space
Audio Watermarking Based on Music Content Analysis: Robust against Time scale Modification
AugFPN: Improving Multi-scale Feature Learning for Object Detection
Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large scale
Augmented Multi-scale Spatiotemporal Inconsistency Magnifier for Generalized DeepFake Detection
Augmented Virtuality for Coastal Management: A Holistic Use of In Situ and Remote Sensing for Large scale Definition of Coastal Dynamics
Auto Arborist Dataset: A Large-scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift, The
AutoFocus: Efficient Multi-scale Inference
Automated Approach to Map Winter Cropped Area of Smallholder Farms across Large scales Using MODIS Imagery, An
Automated BIM Reconstruction of Full-scale Complex Tubular Engineering Structures Using Terrestrial Laser Scanning
Automated Chain for Large-scale 3d Reconstruction of Urban Scenes From Satellite Images
Automated Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images by Multiple scale Analysis
Automated detection of blob structures by Hessian analysis and object scale
Automated Feature Generation in Large-scale Geospatial Libraries for Content-Based Indexing
Automated feature-based range registration of urban scenes of large scale
Automated high resolution 3D reconstruction of cultural heritage using multi-scale sensor systems and semi-global matching
Automated Identification of Photoreceptor Cones Using Multi-scale Modelling and Normalized Cross-Correlation
Automated Inspection Using Gray-scale Statistics
Automated Large scale Parameter Extraction of Road-Side Trees Sampled by a Laser Mobile Mapping System
Automated Log-scale Quantization for Low-Cost Deep Neural Networks
Automated Low-Cost LED-Based Sun Photometer for City scale Distributed Measurements
Automated lung cancer detection by the analysis of glandular cells in sputum cytology images using scale space features
Automated Matching of Multi-scale Building Data Based on Relaxation Labelling and Pattern Combinations
Automated Method for Large-scale, Ground-Based City Model Acquisition, An
Automated Multi-scale and Multivariate Geological Logging from Drill-Core Hyperspectral Data
Automated parameterisation for multi-scale image segmentation on multiple layers
Automated Prediction of Glasgow Outcome scale for Traumatic Brain Injury
Automated Reconstruction of Building LoDs from Airborne LiDAR Point Clouds Using an Improved Morphological scale Space
Automated registration of low and high resolution atomic force microscopy images using scale invariant features
Automated Regularization Parameter Selection in Multi-scale Total Variation Models for Image Restoration
Automated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery
Automated School Location Mapping at scale from Satellite Imagery Based on Deep Learning
Automated Segmentation of Lateral Ventricle in MR Images Using Multi-scale Feature Fusion Convolutional Neural Network
Automated synthesis of image processing procedures for a large-scale image database
Automated Two-Step Seamline Detection for Generating Large-scale Orthophoto Mosaics from Drone Images
Automated Update of Building Information in Maps Using Medium-scale Imagery
Automated visual analysis in large scale sensor networks
Automated Water Level Monitoring at the Continental scale from ICESat-2 Photons
Automatic 2D-to-3D conversion using multi-scale deep neural network
Automatic Approach to Extracting Large-scale Three-Dimensional Road Networks Using Open-Source Data, An
Automatic Camera Calibration and Scene Reconstruction with scale-Invariant Features
Automatic camera placement for large scale surveillance networks
Automatic Change Detection in Urban Areas Under a scale-Space, Object-Oriented Classification Framework
Automatic Creation of Large scale Object Databases from Web Resources: A Case Study in Robot Vision
Automatic Data Cleaning System for Large-scale Location Image Databases Using a Multilevel Extractor and Multiresolution Dissimilarity Calculation
Automatic Detection and Assessment of Pavement Marking Defects with Street View Imagery at the City scale
Automatic Detection of Track and Fields in China from High-Resolution Satellite Images Using Multi-scale-Fused Single Shot MultiBox Detector
Automatic diatom identification using contour analysis by morphological curvature scale spaces
Automatic Enhancement and Detection of Layering in Radar Sounder Data Based on a Local scale Hidden Markov Model and the Viterbi Algorithm
Automatic Example-Based Image Colorization Using Location-Aware Cross-scale Matching
Automatic Extraction Method for Hatched Residential Areas in Raster Maps Based on Multi-scale Feature Fusion, An
Automatic Extraction of Indoor Spatial Information from Floor Plan Image: A Patch-Based Deep Learning Methodology Application on Large-scale Complex Buildings
Automatic extraction of lips based on multi-scale wavelet edge detection
Automatic Extraction of Roads from Aerial Images Based on scale Space and Snakes
Automatic Extraction Of Water In High-resolution Sar Images Based On Multi-scale Level Set Method And Otsu Algorithm
Automatic Generation of Sentinel-1 Continental scale DInSAR Deformation Time Series through an Extended P-SBAS Processing Pipeline in a Cloud Computing Environment
Automatic Gigapixel Mosaicing in Large scale Unstructured Underground Environments
Automatic Image Sequence Registration Based on a Linear Solution and scale Invariant Keypoint Matching
Automatic image-text alignment for large-scale web image indexing and retrieval
Automatic Inspection of Bridge Bolts Using Unmanned Aerial Vision and Adaptive scale Unification-Based Deep Learning
Automatic large scale detection of red palm weevil infestation using street view images
Automatic Large-scale 3D Building Shape Refinement Using Conditional Generative Adversarial Networks
Automatic large-scale three dimensional modeling using cooperative multiple robots
Automatic Line Drawing Recognition of Large-scale Maps
Automatic local effect of window/level on 3-D scale-space ellipsoidal filtering on run-off-arteries from white blood magnetic resonance angiography
Automatic Mosaicking Algorithm for the Generation of a Large-scale Forest Height Map Using Spaceborne Repeat-Pass InSAR Correlation Magnitude, An
Automatic Object Segmentation to Support Crisis Management Of Large-scale Events
Automatic Optical Inspection for Millimeter scale Probe Surface Stripping Defects Using Convolutional Neural Network
Automatic Orientation of Multi-scale Terrestrial Images for 3D Reconstruction
Automatic Pavement Crack Detection by Multi-scale Image Fusion
Automatic production of large-scale cloud-free orthomosaics from multitemporal satellite images
Automatic production of quantisation matrices based on perceptual modelling of wavelet coefficients for grey scale images
Automatic Pyramidal Intensity-based Laser Scan Matcher for 3D Modeling of Large scale Unstructured Environments
Automatic Quality Measurement of Gray-scale Handwriting Based on Extended Average Entropy
Automatic Raft Labeling for Remote Sensing Images via Dual-scale Homogeneous Convolutional Neural Network
Automatic Recognition Of Piping System From Large-scale Terrestrial Laser Scan Data
Automatic Recognition of Road Information on Medium scale Topographical Maps
Automatic registration of a single SAR image and GIS building footprints in a large-scale urban area
Automatic registration of large-scale urban scene point clouds based on semantic feature points
Automatic relative orientation of large scale imagery over urban areas using Modified Iterated Hough Transform
Automatic Road Extraction Based on Multi-scale Modeling, Context, and Snakes
Automatic Road Extraction Based on Multi-scale, Grouping, and Context
Automatic scale Detection for Contour Fragment Based on Difference of Curvature
Automatic scale estimation of structure from motion based 3D models using laser scalers in underwater scenarios
Automatic scale selection for corners and junctions
Automatic scale Selection of Superimposed Signals
Automatic Ship Detection in SAR Images Using Multi-scale Heterogeneities and an A Contrario Decision
Automatic Stockpile Extraction and Measurement Using 3D Point Cloud and Multi-scale Directional Curvature
Automatic Texture Mapping With An Omnidirectional Camera Mounted On A Vehicle Towards Large scale 3d City Models
Automatic working area classification in peripheral blood smears using spatial distribution features across scales
Automatically Determining scale Within Unstructured Point Clouds
Automating the Construction of Large scale Virtual Worlds
Autonomous Agent Teammate-Likeness: scale Development and Validation
Autonomous Decentralized Multi-server Framework For Large scale Collaborative Virtual Environments, An
Autonomous Information Collection and Dissemination Model for Large-scale Urban Road Networks, An
Autonomous multi-scale object detection with hough forests
Autoscale: Learning to Scale for Crowd Counting
AVA: A large-scale database for aesthetic visual analysis
Avatar-Net: Multi-scale Zero-Shot Style Transfer by Feature Decoration
B-Planner: Planning Bidirectional Night Bus Routes Using Large-scale Taxi GPS Traces
BandRe: Rethinking Band-Pass Filters for scale-Wise Object Detection Evaluation
Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-scale Retrieval Applications
Barrier Island Dynamics Using Mass Center Analysis: A New Way to Detect and Track Large-scale Change
Basin scale Assessment of Landslides Geomorphological Setting by Advanced InSAR Analysis
Basin-scale Sea Level Budget from Satellite Altimetry, Satellite Gravimetry, and Argo Data over 2005 to 2019
Bayesian Analysis of Uncertainty in the GlobCover 2009 Land Cover Product at Climate Model Grid scale
Bayesian Correlation Filter Learning With Gaussian scale Mixture Model for Visual Tracking
Bayesian Differentiation of Multi-scale Line-Structures for Model-Free Instrument Segmentation in Thoracoscopic Images
Bayesian Fusion of Multi-scale Detectors for Road Extraction from SAR Images
Bayesian Multi-scale Differential Optical Flow
Bayesian optimization of the scale saliency filter
Bayesian Posterior-Based Winter Wheat Yield Estimation at the Field scale through Assimilation of Sentinel-2 Data into WOFOST Model
Bayesian Reconstruction for Transmission Tomography with scale Hyperparameter Estimation
BEAT: A Large-scale Semantic and Emotional Multi-modal Dataset for Conversational Gestures Synthesis
Behavior of Edges in scale Space
Behaviour detection in crowded classroom scenes via enhancing features robust to scale and perspective variations
BEMF-Net: Semantic Segmentation of Large-scale Point Clouds via Bilateral Neighbor Enhancement and Multi-Scale Fusion
BEMF-Net: Semantic Segmentation of Large-scale Point Clouds via Bilateral Neighbor Enhancement and Multi-Scale Fusion
Benchmark Analysis for Robustness of Multi-scale Urban Road Networks Under Global Disruptions
benchmark dataset for real-time detection of icons in mobile apps and a small-scale feature module, A
Benchmark Dataset for Segmenting Liver, Vasculature and Lesions from Large-scale Computed Tomography Data, A
Benchmark for Large-scale Heritage Point Cloud Semantic Segmentation, A
Benchmarking large-scale Fine-Grained Categorization
Benchmarking Localization for Augmented Reality in Large scale Environments
Best of Both Worlds: Learning Arbitrary-scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
Beyond VVC: Towards Perceptual Quality Optimized Video Compression Using Multi-scale Hybrid Approaches
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-scale analysis of multitemporal land cover fractions for wetland vegetation mapping
Bias reduction for stereo based motion estimation with applications to large scale visual odometry
BiCSNet: A Bidirectional Cross-scale Backbone for Recognition and Localization
Bifurcation of Segment Edge Curves in scale Space
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
Biharmonic density estimate: A scale space signature for deformable surfaces
Bilateral Filter-Oriented Multi-scale CNN Fusion Model for Single Image Dehazing
Bilateral symmetry detection based on scale invariant structure feature
Bilevel scale-Sets Model for Hierarchical Representation of Large Remote Sensing Images, A
Billion-scale Pretraining with Vision Transformers for Multi-Task Visual Representations
BIM Data Model Based on Multi-scale Grids in Civil Engineering Buildings
Binarization of noisy gray-scale character images by thin line modeling
Binary Shape Vectorization by Affine scale-space
Binocular Stereo from Grey-scale Images
Bio-Inspired Multi-scale Contourlet Attention Networks
Biological Motivated Multi-scale Keypoint Detector for local 3D Descriptors, A
Biome-scale Forest Properties in Amazonia Based on Field and Satellite Observations
Biomedical Image Retrieval in a Fuzzy Feature Space with Affine Region Detection and Vector Quantization of a scale-Invariant Descriptor
Biomedical Named Entity Recognition at scale
Biometric Analysis of Human Ear Matching Using scale and Rotation Invariant Feature Detectors
Biophysical Image Compositing Technique for the Global-scale Extraction and Mapping of Barren Lands, A
Birdsnap: Large-scale Fine-Grained Visual Categorization of Birds
Bistatic Scattering From Anisotropic Rough Surfaces via a Closed-Form Two-scale Model
Black-White Representation of a Gray-scale Picture, A
Blackthorn: Large-scale Interactive Multimodal Learning
BlendedMVS: A Large-scale Dataset for Generalized Multi-View Stereo Networks
Blind Face Restoration via Deep Multi-scale Component Dictionaries
Blind Image Quality Index With Cross-Domain Interaction and Cross-scale Integration
Blob Tracking with Adaptive Feature Selection and Accurate scale Determination
Block Adjustment of Large-scale High-resolution Optical Satellite Imagery Without GCPS Based on the GPU
Block Poisson Method and its application to large scale image editing
Block-based image fusion using multi-scale analysis to enhance depth of field and dynamic range
BLOCK-DBSCAN: Fast clustering for large scale data
block-oriented restoration in gray-scale images using full range autoregressive model, A
Block-scale FFT Filter Based on Spatial Autocorrelation Features of Speckle Noise in SAR Image, A
Blood vessel segmentation using multi-scale quadrature filtering
Blurred Image Deconvolution Using Gaussian scale Mixtures Model in Wavelet Domain
BMAN: Bidirectional Multi-scale Aggregation Networks for Abnormal Event Detection
Bone tumor segmentation from MR perfusion images with neural networks using multi-scale pharmacokinetic features
Book cover identification by using four directional features field for a small-scale library system
Boosting face recognition on a large-scale database
Boosting Stochastic Newton with Entropy Constraint for Large-scale Image Classification
Boosting Temporal Binary Coding for Large-scale Video Search
Boosting the Timeliness of UAV Large scale Mapping. Direct Georeferencing Approaches: Operational Strategies and Best Practices
Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons
Boundary Corrected Multi-scale Fusion Network for Real-Time Semantic Segmentation
Boundary Extraction from Gray-scale Document Images Based on Surface Data Structures
Boundary Feature Extraction From Gray-scale Document Images
Boundary points based scale invariant 3D point feature
Boundary-constrained multi-scale segmentation method for remote sensing images
Boundary-Guided Lightweight Semantic Segmentation With Multi-scale Semantic Context
branch and bound irredundant graph algorithm for large-scale MLCS problems, A
Branch Points in One-Dimensional Gaussian scale Space
Branch-and-Price Algorithm for Large-scale Multidepot Electric Bus Scheduling, A
Breaking the resolution barrier: A low-to-high network for large-scale high-resolution land-cover mapping using low-resolution labels
Bridging Multi-scale Context-Aware Representation for Object Detection
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework
Broad-scale Weather Patterns Encountered during Flight Influence Landbird Stopover Distributions
Brush, lasso, or magic wand? Picking the right tool for large-scale multiple object selection tasks
BS-YOLOv5s: Insulator Defect Detection with Attention Mechanism and Multi-scale Fusion
BSD-GAN: Branched Generative Adversarial Network for scale-Disentangled Representation Learning and Image Synthesis
BSIFT: Toward Data-Independent Codebook for Large scale Image Search
Budget UAV Systems For The Prospection Of Small- And Medium-scale Archaeological Sites
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
Building a Large-scale Micro-Simulation Transport Scenario Using Big Data
Building Change Detection in Remote Sensing Images Based on Dual Multi-scale Attention
Building effective SVM concept detectors from clickthrough data for large-scale image retrieval
Building Extraction of Aerial Images by a Global and Multi-scale Encoder-Decoder Network
Building high-level features using large scale unsupervised learning
Building Illumination Coherent 3D Models of Large-scale Outdoor Scenes
Building Instance Change Detection from Large-scale Aerial Images using Convolutional Neural Networks and Simulated Samples
Building Large scale 3D Face Database for Face Analysis
Building3D: An Urban-scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds
BuildingFusion: Semantic-Aware Structural Building-scale 3D Reconstruction
Built-up areas mapping at global scale based on adaptive parametric thresholding of Sentinel-1 intensity coherence time series
Bundling features for large scale partial-duplicate web image search
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
BV-Person: A Large-scale Dataset for Bird-view Person Re-identification
C2ANet: Cross-scale and Cross-Modality Aggregation Network for Scene Depth Super-Resolution
C3Net: Cross-Modal Feature Recalibrated, Cross-scale Semantic Aggregated and Compact Network for Semantic Segmentation of Multi-Modal High-Resolution Aerial Images
Cache Behavior Characterization and Validation Over Large-scale Video Data
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos
CAD: scale Invariant Framework for Real-Time Object Detection
CAIR: Fast and Lightweight Multi-scale Color Attention Network for Instagram Filter Removal
CAISOV: Collinear Affine Invariance and scale-Orientation Voting for Reliable Feature Matching
Calculation of CO2 Emissions from China at Regional scales Using Remote Sensing Data
Calibrated Domain-Invariant Learning for Highly Generalizable Large scale Re-Identification
Calibrating supply parameters of large-scale DTA models with surrogate-based optimisation
CAM-Convs: Camera-Aware Multi-scale Convolutions for Single-View Depth
Camera Calibration: A Quick and Easy Way to Determine the scale Factor
camera flash based projector system for true scale metric reconstruction, A
Camera Pose Voting for Large-scale Image-Based Localization
Can scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?
Can scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?
Canny Edge Detection Enhancement by scale Multiplication
Capture-Aware Estimation for Large-scale RFID Tags Identification
Capturing Small-scale Surface Temperature Variation across Diverse Urban Land Uses with a Small Unmanned Aerial Vehicle
Car manufacturer and model recognition based on scale invariant feature transform
Carbon management and scenario planning at landscape scale with GIS at the Southwest England
Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation
CARs-Lands: An associative classifier for large-scale datasets
Cartesian Differential Invariants in scale-Space
CAS-PEAL Large-scale Chinese Face Database and Baseline Evaluations, The
Cascade of Box (CABOX) Filters for Optimal scale Space Approximation
Cascaded Local Implicit Transformer for Arbitrary-scale Super-Resolution
Cascaded Stripe Memory Engines for Multi-scale Object Detection in FPGA
Case Study of Land-Surface-Temperature Impact from Large-scale Deployment of Wind Farms in China from Guazhou, A
Catchment-scale Flood Modelling in Data-Sparse Regions Using Open-Access Geospatial Technology
Category co-occurrence modeling for large scale scene recognition
CATFPN: Adaptive Feature Pyramid With scale-Wise Concatenation and Self-Attention
CBi-GNN: Cross-scale Bilateral Graph Neural Network for 3D Object Detection
CCAFNet: Crossflow and Cross-scale Adaptive Fusion Network for Detecting Salient Objects in RGB-D Images
CDTD: A Large-scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Celeba-Spoof: Large-scale Face Anti-spoofing Dataset with Rich Annotations
CelebV-HQ: A Large-scale Video Facial Attributes Dataset
CelebV-Text: A Large-scale Facial Text-Video Dataset
Cell Decomposition for the Generation of Building Models at Multiple scales
Cell image classification by a scale and rotation invariant dense local descriptor
Cellular Automaton Processor for Line and Corner Detection in Gray-scale Images, A
Center and scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting
Central Locations across Spatial scales: A Quantitative Evaluation for Italy Using Census Enumeration District Indicators
Centralised versus decentralised signal control of large-scale urban road networks in real time: a simulation study
Centralized multi-scale singular value decomposition for feature construction in LIDAR image classification problems
CF2PN: A Cross-scale Feature Fusion Pyramid Network Based Remote Sensing Target Detection
CGAN-plankton: Towards large-scale imbalanced class generation and fine-grained classification
CGFNet: 3D Convolution Guided and Multi-scale Volume Fusion Network for fast and robust stereo matching
ChaLearn LAP Large scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
ChaLearn Looking at People: Sign Language Recognition in the Wild and Large scale Signer Independent Isolated SLR Challenge
Challenges and Evolution of Water Level Monitoring towards a Comprehensive, World-scale Coverage with Remote Sensing
Challenges And Opportunities: One Stop Processing of Automatic Large-scale Base Map Production Using Airborne Lidar Data Within GIS Environment. Case Study: Makassar City, Indonesia
Challenges on Large scale Surveillance Video Analysis
Champagne: Learning Real-world Conversation from Large-scale Web Videos
Change Analysis of the Spectral Characteristics of Rubber Trees at Canopy and Leaf scales During The Brazilian Autumn
Change Detection at Multiple Temporal scales: Seasonal and Annual Variations in Landscape Variables
Change Detection Based on Fusion Difference Image and Multi-scale Morphological Reconstruction for SAR Images
Change Detection Based on Multi-Grained Cascade Forest and Multi-scale Fusion for SAR Images
Change Detection for High-Resolution Remote Sensing Images Based on a Multi-scale Attention Siamese Network
Change Detection in Land-Use and Land-Cover Dynamics at a Regional scale from Modis Time-Series Imagery
Change Detection Method Based on Multi-scale Adaptive Convolution Kernel Network and Multimodal Conditional Random Field for Multi-Temporal Multispectral Images, A
Change Target Extraction Based on scale-Adaptive Difference Image and Morphology Filter for KOMPSAT-5
Changes in Croplands as a Result of Large scale Mining and the Associated Impact on Food Security Studied Using Time-Series Landsat Images
Changes in Meadow Phenology in Response to Grazing Management at Multiple scales of Measurement
Changes in Vegetation Dynamics and Relations with Extreme Climate on Multiple Time scales in Guangxi, China
Changing Patterns of Malaria in Grande Comore after a Drastic Decline: Importance of Fine-scale Spatial Analysis to Inform Future Control Actions
Channel-Wise Multi-scale Network for Single Image Super-Resolution, A
chaotic immune niche genetic algorithm for target signal selection in large scale wireless sensor networks, A
Characteristic scales of Tropical Convection Based on the Japanese Advanced Himawari-8 Imager Observations
Characteristics of Gravity Waves During the Occurrence of the Small-scale Strong Convection Observed by MST Radar
Characteristics of Medium-scale Traveling Ionospheric Disturbances and Ionospheric Irregularities at Mid-Latitudes Revealed by the Total Electron Content Associated With the Beidou Geostationary Satellite
Characterization of Subgrid-scale Variability in Particulate Matter with Respect to Satellite Aerosol Observations
Characterizing and Modeling User Behavior in a Large-scale Mobile Live Streaming System
Characterizing Regional-scale Combustion Using Satellite Retrievals of CO, NO2 and CO2
Characterizing Residual Current Circulation and Its Response Mechanism to Wind at a Seasonal scale Based on High-Frequency Radar Data
Characterizing the scale dimension of a high-dimensional classification problem
Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration
CHCF: A Cloud-Based Heterogeneous Computing Framework for Large-scale Image Retrieval
ChestX-Ray8: Hospital-scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Chinese Street View Text: Large-scale Chinese Text Reading With Partially Supervised Learning
Choice of similarity measure, likelihood function and parameters for histogram based particle filter tracking in CCTV grey scale video
Choose Settings Carefully: Comparing Action Unit Detection At Different Settings Using A Large-scale Dataset
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-scale Image Super-Resolution
CIE uniform chromaticity scale diagram for measuring performance of OSA-UCS Delta-EE and CIEDE00 formulas
Cinema as large as life: Large-scale light field cinema system
CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-scale Indoor Scene
Circumpolar Thin Arctic Sea Ice Thickness and Small-scale Roughness Retrieval Using Soil Moisture and Ocean Salinity and Soil Moisture Active Passive Observations
City model and scale model of the city of Zagreb
City scale geo-spatial trajectory estimation of a moving camera
City scale Image Geolocalization via Dense Scene Alignment
City scale Traffic Monitoring Using WorldView Satellite Imagery and Deep Learning: A Case Study of Barcelona
City-scale Change Detection in Cadastral 3D Models Using Images
City-scale Distance Sensing via Bispectral Light Extinction in Bad Weather
City-scale landmark identification on mobile devices
City-scale Localization for Cameras with Known Vertical Direction
City-scale Location Recognition
City-scale Multi-Camera Vehicle Tracking based on Space-Time-Appearance Features
City-scale Multi-Camera Vehicle Tracking by Semantic Attribute Parsing and Cross-Camera Tracklet Matching
City-scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
City-scale Point Cloud Stitching Using 2d/3d Registration for Large Geographical Coverage
City-scale Road Extraction from Satellite Imagery v2: Road Speeds and Travel Times
City-scale Taxi Demand Prediction Using Multisource Urban Geospatial Data
City3D: Large-scale Building Reconstruction from Airborne LiDAR Point Clouds
CityFlow: A City-scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Class-Specified Segmentation with Multi-scale Superpixels
Classification and Evaluation of Extended PICS (EPICS) on a Global scale for Calibration and Stability Monitoring of Optical Satellite Sensors
Classification and Segmentation of Mining Area Objects in Large-scale Spares Lidar Point Cloud Using a Novel Rotated Density Network
Classification Framework for Large-scale Face Recognition Systems, A
Classification of 2D and 3D images using pyramid scale decision voting
Classification of Atomic Density Distributions Using scale Invariant Blob Localization
Classification of Carbide Distributions Using scale Selection and Directional Distributions
Classification of Coal Images by a Multi-scale Segmentation Techniques
Classification of Landslide Activity on a Regional scale Using Persistent Scatterer Interferometry at the Moselle Valley (Germany)
Classification of Large-scale Mobile Laser Scanning Data in Urban Area with LightGBM
Classification of Pulmonary Emphysema in CT Images Based on Multi-scale Deep Convolutional Neural Networks
Classification of Pulmonary Nodules in Thin-section CT Images by Using Multi-scale Curvature Indexes
Classification of Small-scale Eucalyptus Plantations Based on NDVI Time Series Obtained from Multiple High-Resolution Datasets
Classification of Texture Images using Multi-scale Statistical Estimators of Fractal Parameters
Classification of Time Series of Sentinel-2 Images for Large scale Mapping In Cameroon
Classification of Tropical Forest Tree Species Using Meter-scale Image Data
Classifying CT Image Data Into Material Fractions by a scale and Rotation Invariant Edge Model
ClearPose: Large-scale Transparent Object Dataset and Benchmark
Client-Driven Strategy of Large-scale Scene Streaming
CLIP 4: A Large scale Integrated Circuit Array Parallel Processor
Close Range Hyperspectral Imaging Integrated With Terrestrial Lidar Scanning Applied To Rock Characterisation At Centimetre scale
Closed-Form Algorithms for Object Pose and scale Recovery in Constrained Scenes
Closed-Form Anisotropic Polarimetric Two-scale Model for Fast Evaluation of Sea Surface Backscattering
Cloud and Cloud-Shadow Detection for Applications in Mapping Small-scale Mining in Colombia Using Sentinel-2 Imagery
Cloud Detection of Remote Sensing Image Based on Multi-scale Data and Dual-Channel Attention Mechanism
Cloud tracking by scale space classification
Cloud-Based Artificial Intelligence System for Large-scale Arrhythmia Screening
cloud-based large-scale distributed video analysis system, A
Cloud-scale Image Compression Through Content Deduplication
Clusformer: A Transformer based Clustering Approach to Unsupervised Large-scale Face and Visual Landmark Recognition
Cluster-Wise Removal of Reflection Artifacts in Large-scale 3d Point Clouds Using Superpixel-Based Glass Region Estimation
Clustering Billions of Images with Large scale Nearest Neighbor Search
Clustering by scale-Space Filtering
clustering filter for scale-space filtering and image restoration, A
Clustering filter method for noise filtering, scale-space filtering and image processing
Clustering with a minimum spanning tree of scale-free-like structure
Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation
CNN-Based Depth Estimation Approach with Multi-scale Sub-pixel Convolutions and a Smoothness Constraint, A
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-scale Image Data
CNN-based Multi-scale Hierarchical Land Use Classification for The Verification of Geospatial Databases
CNN-based Multi-scale Super-resolution Architecture on FPGA for 4k/8k Uhd Applications, A
CNN-VWII: An efficient approach for large-scale video retrieval by image queries
CNVid-3.5M: Build, Filter, and Pre-Train the Large-scale Public Chinese Video-Text Dataset
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-scale Label Smoothing
Co-scale Conv-Attentional Image Transformers
Coarse scale cost-utility approach for efficient unequal loss protection
Coarse scale Feature Extraction Using the Spiral Architecture Structure
Coarse to Fine: Image Restoration Boosted by Multi-scale Low-Rank Tensor Completion
Coarse-to-Fine Approach for Handwritten Word Spotting in Large scale Historical Documents Collection, A
Coarse-to-Fine Extraction of Small-scale Lunar Impact Craters From the CCD Images of the Chang'E Lunar Orbiters
coarse-to-fine multi-scale feature hybrid low-dose CT denoising network, A
Coarse-to-Fine Segmentation with Shape-Tailored Continuum scale Spaces
Coarse-to-Fine Vision-Based Localization by Indexing scale-Invariant Features
COCAS+: Large-scale Clothes-Changing Person Re-Identification With Clothes Templates
COCAS: A Large-scale Clothes Changing Person Dataset for Re-Identification
Codomain scale space and regularization for high angular resolution diffusion imaging
Coexistence of a Marginal Mountain Community with Large-scale and Low Kinematic Landslide: The Intensive Monitoring Approach
Coffee Crop Recognition Using Multi-scale Convolutional Neural Networks
Cognitive Quantum Number: The Logic for Nano scale Information Processing in Minds and Machines
Coherent bag-of audio words model for efficient large-scale video copy detection
Coherent Semantic-Visual Indexing for Large-scale Image Retrieval in the Cloud
COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis
Collaborative exploration in a multi-scale shared virtual environment
Collaborative Real-Time Control of Active Cameras in Large-scale Surveillance Systems.
Collaborative Video Object Segmentation by Multi-scale Foreground-Background Integration
Color and scale: The Spatial Structure of Color Images
Color correction and restoration based on multi-scale recursive network for underwater optical image
Color Image Segmentation Based on Vectorial Multiscale Diffusion with Inter-scale Linking
Color image segmentation using morphological clustering and fusion with automatic scale selection
Color Images' Segmentation Using scale Space Filter and Markov Random Field
Color Morphology, Gray scale Morphology
Colour Morphological scale-Spaces for Image Segmentation
Colour retinal fundus image registration by selecting stable extremum points in the scale-invariant feature transform detector
Combination of Deep Autoencoder and Multi-scale Residual Network for Landslide Susceptibility Evaluation, A
Combination of multi-scale and residual learning in deep CNN for image denoising
Combinatorial Properties of scale Space Singular Points
Combined blur, translation, scale and rotation invariant image recognition by Radon and pseudo-Fourier-Mellin transforms
Combined Deep Learning and Prior Knowledge Constraint Approach for Large-scale Forest Disturbance Detection Using Time Series Remote Sensing Data, A
Combined Effects of Impervious Surface Change and Large-scale Afforestation on the Surface Urban Heat Island Intensity of Beijing, China Based on Remote Sensing Analysis
Combined Model Color-Correction Method Utilizing External Low-Frequency Reference Signals for Large-scale Optical Satellite Image Mosaics
combined multi-scale/irregular algorithm for the vectorization of noisy digital contours, A
Combining 3D Morphable Models: A Large scale Face-And-Head Model
Combining Boolean and Multimedia Retrieval in VITRIVR for Large-scale Video Search
Combining Deep Learning and Location-Based Ranking for Large-scale Archaeological Prospection of LiDAR Data from The Netherlands
Combining Deep Semantic Edge and Object Segmentation for Large-scale Roof-Part Polygon Extraction from Ultrahigh-Resolution Aerial Imagery
Combining Different Types of scale Space Interest Points Using Canonical Sets
Combining Discrete and Continuous Representation: scale-Arbitrary Super-Resolution for Satellite Images
Combining multi-scale dissimilarities for image classification
Combining Regional Habitat Selection Models for Large-scale Prediction: Circumpolar Habitat Selection of Southern Ocean Humpback Whales
Combining scale-Space and Similarity-Based Aspect Graphs for Fast 3D Object Recognition
Combining SfM Photogrammetry and Terrestrial Laser Scanning to Assess Event-scale Sediment Budgets along a Gravel-Bed Ephemeral Stream
Combining spatial and scale-space techniques for edge detection to provide a spatially adaptive wavelet-based noise filtering algorithm
comment on 'Translation and scale invariants of Tchebichef moments' by Hong-Qing Zhu [Pattern Recognition 40 (2007) 2530-2542], A
Comments on A translation- and scale-invariant adaptive wavelet transform
Comments on scale Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
Common Objects in 3D: Large-scale Learning and Evaluation of Real-life 3D Category Reconstruction
Community scale Assessment of the Effectiveness of Designed Discharge Routes from Building Roofs for Stormwater Reduction
Compact Codebook Generation Towards scale-Invariance
Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large scale Databases
Compact multi-scale periocular recognition using SAFE features
Compact Representation of High-Dimensional Feature Vectors for Large-scale Image Recognition and Retrieval
CompactKdt: Compact signatures for accurate large scale object recognition
Comparative Performance Evaluation of Gray-scale and Color Information for Face Recognition Tasks
comparative study of curvature scale space and Fourier descriptors for shape-based image retrieval, A
Comparative Study of GPU-Accelerated Multi-view Sequential Reconstruction Triangulation Methods for Large-scale Scenes, A
Comparing Deep Learning and Shallow Learning for Large-scale Wetland Classification in Alberta, Canada
Comparing Evapotranspiration Products of Different Temporal and Spatial scales in Native and Managed Prairie Pastures
Comparing shapes through multi-scale approximations of the matching distance
Comparing Thermal Regime Stages along a Small Yakutian Fluvial Valley with Point scale Measurements, Thermal Modeling, and Near Surface Geophysics
Comparison Between Dielectric Inversion Results From Synthetic Aperture Radar Co- and Quad-Polarimetric Data via a Polarimetric Two-scale Model
comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries, A
Comparison of Active Shape Model and scale Decomposition Based Features for Visual Speech Recognition, A
Comparison of CORINE Land Cover Data with National Statistics and the Possibility to Record This Data on a Local scale: Case Studies from Slovakia
Comparison of Different Important Predictors and Models for Estimating Large-scale Biomass of Rubber Plantations in Hainan Island, China
Comparison of Empirical and Physical Modelling for Estimation of Biochemical and Biophysical Vegetation Properties: Field scale Analysis across an Arctic Bioclimatic Gradient
Comparison of EPIC-Simulated and MODIS-Derived Leaf Area Index (LAI) across Multiple Spatial scales
Comparison of Expert Ratings and Marker-Less Hand Tracking Along OSATS-Derived Motion scales, A
Comparison of GPM IMERG Version 06 Final Run Products and Its Latest Version 07 Precipitation Products across scales: Similarities, Differences and Improvements
Comparison of Long Short-Term Memory Networks and Random Forest for Sentinel-1 Time Series Based Large scale Crop Classification
Comparison of Machine Learning Methods to Up-scale Gross Primary Production
Comparison Of Multi-scale Digital Elevation Models For Defining Waterways And Catchments Over Large Areas
comparison of resolution requirements for boundary estimation from binary and grey scale images, A
Comparison of Satellite-Derived Land Surface Temperature and Air Temperature from Meteorological Stations on the Pan-Arctic scale
Comparison of Two Multi-scale Approaches to Edge Detection in Medical Images
Comparison Of Uncalibrated RGBVI With Spectrometer-based NDVI Derived From UAV Sensing Systems On Field scale
Comparison Study on Two Multi-scale Shape Matching Schemes, A
COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability
Complete-Q Model for Poro-Viscoelastic Media in Subsurface Sensing: Large-scale Simulation With an Adaptive DG Algorithm
Completing point clouds using structural constraints for large-scale points absence in 3D building reconstruction
Completion Energies and scale
Complex wavelet joint denoising and demosaicing using Gaussian scale mixtures
Complex Wavelet Transform Variants in a scale Invariant Classification of Celiac Disease
Complex-Valued Multi-scale Fully Convolutional Network with Stacked-Dilated Convolution for PolSAR Image Classification
Complexity as a scale-Space for the Medial Axis Transform
Complexity Reduction by Modified scale-Space Construction in SIFT Generation Optimized for a Mobile GPU
Comprehensive Study Over VLAD and Product Quantization in Large-scale Image Retrieval, A
Comprehensive Validation and Comparison of Three VIIRS Aerosol Products over the Ocean on a Global scale
Compressed sensing using a Gaussian scale Mixtures model in wavelet domain
Compressing repeated content within large-scale remote sensing images
Computation of Ridges via Pullback Metrics from scale Space
Computational Breast Anatomy Simulation Using Multi-scale Perlin Noise
Computational Geometry-Based scale-Space and Modal Image Decomposition Application to Light Video-Microscopy Imaging
Computational Model of Multi-scale Spatiotemporal Attention in Video Data, A
Computationally Efficient Algorithm for Large scale Near-Duplicate Video Detection, A
Computationally efficient multiscale estimation of large-scale dynamic systems
Computationally efficient retrieval-based tracking system and augmented reality for large-scale areas
Computer Aided Diagnosis Using Multilevel Image Features on Large-scale Evaluation
Computer-Aided Tumor Detection Based on Multi-scale Blob Detection Algorithm in Automated Breast Ultrasound Images
Computer-Produced Grey scales
Computing an Exact Gaussian scale-Space
Computing optic flow by scale-space integration of normal flow
Computing Optical Flow across Multiple scales: An Adaptive Coarse-to-Fine Strategy
Concept Mask: Large-scale Segmentation from Semantic Concepts
Conceptual 12M: Pushing Web-scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Conceptual Model for Detecting Small-scale Forest Disturbances Based on Ecosystem Morphological Traits, A
Confidence-Aware Cascade Network for Multi-scale Stereo Matching of Very-High-Resolution Remote Sensing Images, A
Confidence-Based Large-scale Dense Multi-View Stereo
Congestion Avoidance Routing Based on Large-scale Social Signals
Conic Quadratic Programming Approach to Physical Layer Multicasting for Large-scale Antenna Arrays, A
Connected Shape-Size Pattern Spectra for Rotation and scale-Invariant Classification of Gray-Scale Images
Connected Shape-Size Pattern Spectra for Rotation and scale-Invariant Classification of Gray-Scale Images
Consensus Techniques for Unsupervised Binary Change Detection Using Multi-scale Segmentation Detectors for Land Cover Vegetation Images
Conservation of Cultural Heritage in Conditions of Risk, with 3D Printing on the Architectural scale, The
Conservative Image Transformations with Restoration and scale-Space Properties
Conservative scale Recomposition for Multiscale Denoising (The Devil is in the High Frequency Detail)
Consistent and Multi-scale Scene Graph Transformer for Semantic-Guided Image Outpainting
Constrained keypoint quantization: towards better bag-of-words model for large-scale multimedia retrieval
Constrained Phase Congruency Feature Detector: Simultaneous Localization, Classification and scale Determination, The
Constrained Phase Congruency: Simultaneous Detection of Interest Points and of their scales
Constraining image object search by multi-scale spectral residue analysis
Constructing a Large-scale Urban Land Subsidence Prediction Method Based on Neural Network Algorithm from the Perspective of Multiple Factors
Constructing Large-scale Virtual Environment by Using Panoramic Images
Construction of a Semantic Segmentation Network for the Overhead Catenary System Point Cloud Based on Multi-scale Feature Fusion
Construction of large-scale virtual environment by fusing range data,texture images, and airborne altimetry data
Content analysis in document images: a scale space approach
Content-based image enhancement in the compressed domain based on multi-scale alpha-rooting algorithm
Context Clustering in Lossless Compression of Gray-scale Image
Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation
Context-Aware and scale-Insensitive Temporal Repetition Counting
Context-Aware Hierarchical Feature Attention Network For Multi-scale Object Detection
Context-aware single image super-resolution using sparse representation and cross-scale similarity
Context-Aware Taxi Dispatching at City-scale Using Deep Reinforcement Learning
Context-Based Scene Recognition Using Bayesian Networks with scale-Invariant Feature Transform
Context-Enabled Extraction of Large-scale Urban Functional Zones from Very-High-Resolution Images: A Multiscale Segmentation Approach
Contextual Hashing for Large-scale Image Search
Contextual Information based Network with High-Frequency Feature Fusion for High Frame Rate and Ultra-Low Delay Small-scale Object Detection
Contextual multi-scale image classification on quadtree
Continental scale Mapping of Tidal Flats across East Asia Using the Landsat Archive
Continental Shelf-scale Passive Acoustic Detection and Characterization of Diesel-Electric Ships Using a Coherent Hydrophone Array
Continental-scale Assessment of Density, Size, Distribution and Historical Trends of Farm Dams Using Deep Learning Convolutional Neural Networks, A
Continental-scale Land Cover Mapping at 10 m Resolution Over Europe (ELC10)
Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper
Continuous Curve Matching with scale-Space Curvature and Extrema-Based Scale Selection
Continuous Curve Matching with scale-Space Curvature and Extrema-Based Scale Selection
Continuous Daily Evapotranspiration Estimation at the Field-scale over Heterogeneous Agricultural Areas by Fusing ASTER and MODIS Data
Continuous Detection of Small-scale Changes in Scots Pine Dominated Stands Using Dense Sentinel-2 Time Series
Continuous k Nearest Neighbor Queries over Large-scale Spatial-Textual Data Streams
Continuous Level of Detail for Large scale Rendering of 3D Animated Polygonal Models
Continuous Road Network Generalization throughout All scales
Continuous scale Transformations of Linear Features Using Simulated Annealing-Based Morphing
Continuous-scale 3D Terrain Visualization Based on a Detail-Increment Model
Continuum-based classification of remotely sensed imagery to describe urban sprawl on a watershed scale
Contour Detection Using Multi-scale Active Shape Models
Contour simplification using a multi-scale local phase analysis
Contour Tracing of Grey-scale Images Based on 2-D Histograms
Contrast Enhancement of Gray scale Images Based on the Random Walk Model
Contrast enhancement using real coded genetic algorithm based modified histogram equalization for gray scale images
Contributions of Various Temporal Components of Large-scale Parameters in Tropical Cyclone Genesis over the North Indian Ocean
Controllably Deep Supervision and Multi-scale Feature Fusion Network for Cloud and Snow Detection Based on Medium- and High-Resolution Imagery Dataset
Conventional and fuzzy comparisons of large scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe
Convergence Properties of Curvature and Torsion scale Space Representations
Convex Inverse scale Spaces
Convexity Measure for Gray-scale Images Based on hv-Convexity, A
convolutional autoencoder model with weighted multi-scale attention modules for 3D skeleton-based action recognition, A
Convolutional Network With Multi-scale and Attention Mechanisms for End-to-End Single-Channel Speech Enhancement, A
Convolutional Neural Network for Large-scale Greenhouse Extraction from Satellite Images Considering Spatial Features, A
Convolutional neural network using multi-scale information for stereo matching cost computation
Convolutional Neural Network with Parallel Multi-scale Spatial Pooling to Detect Temporal Changes in SAR Images, A
Convolutional Neural Networks Based on Multi-scale Additive Merging Layers for Visual Smoke Recognition
Convolutional Neural Networks for Large-scale Remote-Sensing Image Classification
Convolutional Photomosaic Generation via Multi-scale Perceptual Losses
Convolutional scale Invariance for Semantic Segmentation
Cooperative Bayesian Estimation of Vehicular Traffic in Large-scale Networks
Copula-Based Downscaling of Coarse-scale Soil Moisture Observations With Implicit Bias Correction
Corner Detection Using Multi-directional Structure Tensor with Multiple scales
Corner Detection Using the Affine Morphological scale Space
Corner Detection via scale-Space Behavior-Guided Trajectory Tracing
Corner Enhancement in Curvature scale Space
Correcting scale Drift by Object Recognition in Single-Camera SLAM
Correlated Input-Dependent Label Noise in Large-scale Image Classification
Correlated Percolation, Fractal Structures, and scale-Invariant Distribution of Clusters in Natural Images
Correlation Filters With Controlled scale Response
Correntropy based scale ICP algorithm for robust point set registration
Corrigendum to An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods
Cost-sensitive learning of hierarchical tree classifiers for large-scale image classification and novel category detection
Cotton Classification Method at the County scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier
Counting From Sky: A Large-scale Data Set for Remote Sensing Object Counting and a Benchmark Method
Country-scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations
Coupled Binary Embedding for Large-scale Image Retrieval
Coupling Fine-scale Root and Canopy Structure Using Ground-Based Remote Sensing
CP-mtML: Coupled Projection Multi-Task Metric Learning for Large scale Face Retrieval
Crease Detection on Noisy Meshes via Probabilistic scale Selection
Creating a Large-scale Content-Based Airphoto Image Digital Library
Creating a Large-scale Silver Corpus from Multiple Algorithmic Segmentations
Creating building ground plans via robust K-way union: A step toward large-scale simulation in urban environment
Creating Large-scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation
Crest Lines Extraction in Volume 3D Medical Images: A Multi-scale Approach
CRF with deep class embedding for large scale classification
Critical object recognition in millimeter-wave images with robustness to rotation and scale
Crop Biomass Mapping Based on Ecosystem Modeling at Regional scale Using High Resolution Sentinel-2 Data
Crop Growth Condition Assessment at County scale Based on Heat-Aligned Growth Stages
Crop Yield Estimation at Field scales by Assimilating Time Series of Sentinel-2 Data Into a Modified CASA-WOFOST Coupled Model
Cross Fusion Net: A Fast Semantic Segmentation Network for Small-scale Semantic Information Capturing in Aerial Scenes
Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning
Cross-Field Joint Image Restoration via scale Map
Cross-Indexing of Binary SIFT Codes for Large-scale Image Search
Cross-Modal 360° Depth Completion and Reconstruction for Large-scale Indoor Environment
Cross-Modal Collaborative Representation Learning and a Large-scale RGBT Benchmark for Crowd Counting
Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images
Cross-scale and Illumination Invariance-Based Model for Robust Object Detection in Traffic Surveillance Scenarios, A
Cross-scale cascade transformer for multimodal human action recognition
Cross-scale color image restoration under high density Salt-and-Pepper Noise
Cross-scale contrastive triplet networks for graph representation learning
Cross-scale Correlation between In Situ Measurements of Canopy Gap Fraction and Landsat-Derived Vegetation Indices with Implications for Monitoring the Seasonal Phenology in Tropical Forests Using MODIS Data
Cross-scale Cost Aggregation for Stereo Matching
Cross-scale cost aggregation integrating intrascale smoothness constraint with weighted least squares in stereo matching
Cross-scale feature fusion connection for a YOLO detector
Cross-scale global attention feature pyramid network for person search
Cross-scale Iterative Attentional Adversarial Fusion Network for Infrared and Visible Images, A
Cross-scale Predictive Dictionaries
Cross-scale predictive dictionaries for image and video restoration
Cross-scale Query-Support Alignment Approach for Small Object Detection in the Few-Shot Regime
Cross-scale Residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking
Cross-scale Spatiotemporal Refinement Learning for Skeleton-Based Action Recognition
Cross-Stage Multi-scale Interaction Network for RGB-D Salient Object Detection
Cross-Validatory Statistical Approach to scale Selection for Image Denoising by Nonlinear Diffusion, A
Cross-view action recognition with small-scale datasets
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale Attention
CrossFormer: Multi-scale cross-attention for polyp segmentation
CrossLocate: Cross-modal Large-scale Visual Geo-Localization in Natural Environments using Rendered Modalities
CrossNet++: Cross-scale Large-Parallax Warping for Reference-Based Super-Resolution
CrossNet: An End-to-End Reference-Based Super Resolution Network Using Cross-scale Warping
CrossViT: Cross-Attention Multi-scale Vision Transformer for Image Classification
Crowd counting by the dual-branch scale-aware network with ranking loss constraints
Crowd Counting from a Still Image Using Multi-scale Fully Convolutional Network with Adaptive Human-Shaped Kernel
Crowd Counting on Images with scale Variation and Isolated Clusters
Crowd counting using a self-attention multi-scale cascaded network
Crowd Counting Using scale-Aware Attention Networks
Crowd Counting via Adversarial Cross-scale Consistency Pursuit
Crowd Counting via scale-Adaptive Convolutional Neural Network
Crowd Counting With Deep Structured scale Integration Network
Crowd Distribution Estimation with Multi-scale Recursive Convolutional Neural Network
Crowd Scene Analysis Encounters High Density and scale Variation
CRRN: Multi-scale Guided Concurrent Reflection Removal Network
CSANet: Cross-scale Axial Attention Network for Road Segmentation
CscGAN: Conditional scale-Consistent Generation Network for Multi-Level Remote Sensing Image to Map Translation
CSDA: Learning Category-scale Joint Feature for Domain Adaptive Object Detection
CSEF-Net: Cross-scale SAR Ship Detection Network Based on Efficient Receptive Field and Enhanced Hierarchical Fusion
CSFFNet: Lightweight cross-scale feature fusion network for salient object detection in remote sensing images
CSformer: Cross-scale Features Fusion Based Transformer for Image Denoising
CTFuseNet: A Multi-scale CNN-Transformer Feature Fused Network for Crop Type Segmentation on UAV Remote Sensing Imagery
CUDA-Based Parallel Geographically Weighted Regression for Large-scale Geographic Data, A
Cultural Analytics in Large-scale Visualization Environments
Cultural Heritage Sites, Modeling, Analysis, Large scale Models
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-scale Super Resolution
Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation
CurriculumNet: Weakly Supervised Learning from Large-scale Web Images
Curvature and torsion feature extraction from free-form 3-D meshes at multiple scales
Curvature Computation on Free-Form 3-D Meshes at Multiple scales
Curvature product corner detection in direct curvature scale space
Curvature scale space corner detector with adaptive threshold and dynamic region of support
Curvature scale Space for Robust Image Corner Detection
Curvature scale Space for Shape Similarity Retrieval Under Affine Transforms
Curvature scale Space Image in Shape Similarity Retrieval
Curvature scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature scale Space with Affine Length Parametrisation
Curvature scale-space of open curves: Theory and shape representation
Curvature scale-space-driven object recognition with an indexing scheme based on artificial neural networks
Curve segmentation by continuous smoothing at multiple scales
CUS3D: A New Comprehensive Urban-scale Semantic-Segmentation 3D Benchmark Dataset
D-Dimensional Inverse Vector-Gradient Operator and Its Application for scale-Free Image Enhancement, The
DA-IMRN: Dual-Attention-Guided Interactive Multi-scale Residual Network for Hyperspectral Image Classification
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image
DAIR-V2X: A Large-scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
DAISY descriptor based multi-view stereo method for large-scale scenes, A
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
Dark image enhancement based onpairwise target contrast and multi-scale detail boosting
DARTs: Efficient scale-space extraction of DAISY keypoints
Data Management Method For Efficient Search and Rendering of Multiple Large scale Point Clouds, A
Data matching of building polygons at multiple map scales improved by contextual information and relaxation
Data Mining for Features Using scale-Sensitive Gated Experts
Data mining for large scale 3D seismic data analysis
Data-Driven Approach to Assess Street Safety: Large-scale Analysis of the Microscopic Design
Data-Driven Crowd Understanding: A Baseline for a Large-scale Crowd Dataset
Data-Driven Deepfake Forensics Model Based on Large-scale Frequency and Noise Features
Data-driven depth map refinement via multi-scale sparse representation
Data-Driven Lightweight Interest Point Selection for Large-scale Visual Search
Data-Driven Method for Trip Ends Identification Using Large-scale Smartphone-Based GPS Tracking Data, A
Data-driven Methods for Solving Large-scale Inverse Problems with Applications to Subsurface Imaging
Data-Driven Neuron Allocation for scale Aggregation Networks
Data-Driven Point Cloud Simplification Framework for City-scale Image-Based Localization, A
Data-Driven Seismic Impedance Inversion Based on Multi-scale Strategy
Data-Efficient Large scale Place Recognition with Graded Similarity Supervision
Dataset and Benchmark for Large-scale Multi-Modal Face Anti-Spoofing, A
DCIFPN: Deformable cross-scale interaction feature pyramid network for object detection
DCMSTRD: End-to-end Dense Captioning via Multi-scale Transformer Decoding
DCNet: Large-scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation
DDRNet: Fast point cloud registration network for large-scale scenes
Deblurring-by-Denoising using Spatially Adaptive Gaussian scale Mixtures in Overcomplete Pyramids
Decadal Lake Volume Changes (2003-2020) and Driving Forces at a Global scale
Decadal scale Changes in Glacier Area in the Hohe Tauern National Park (Austria) Determined by Object-Based Image Analysis
Decade Long, Multi-scale Map Comparison of Fire Regime Parameters Derived from Three Publically Available Satellite-Based Fire Products: A Case Study in the Central African Republic, A
Decentralized stabilization of Markovian jump large-scale systems via neighboring mode dependent output feedback control
Deciphering Small-scale Seasonal Surface Dynamics of Rock Glaciers in the Central European Alps Using DInSAR Time Series
Decomposing Dual scale Soil Surface Roughness for Microwave Remote Sensing Applications
Decomposition and Hierarchy: Efficient Structural Matching of Large Multi-scale Representations
Decomposition of arbitrary gray-scale morphological structuring elements
Decomposition of gray-scale morphological structuring elements
Decomposition of Gray-scale Morphological Templates Using The Rank Method
Deconvolution of Sustained Neural Activity From Large-scale Calcium Imaging Data
Decoupling Sparse Coding with Fusion of Fisher Vectors and Scalable SVMs for Large-scale Visual Recognition
Deep Action Parsing in Videos With Large-scale Synthesized Data
Deep Adaptive Quadruplet Hashing With Probability Sampling for Large-scale Image Retrieval
Deep Arbitrary-scale Image Super-Resolution via Scale-Equivariance Pursuit
Deep Arbitrary-scale Image Super-Resolution via Scale-Equivariance Pursuit
Deep Collaborative Multi-View Hashing for Large-scale Image Search
Deep convolutional hashing using pairwise multi-label supervision for large-scale visual search
Deep Convolutional Neural Network Based on Multi-scale Feature Extraction for Image Denoising
Deep Convolutional Neural Network for Large-scale Date Palm Tree Mapping from UAV-Based Images
Deep Dense Multi-scale Network for Snow Removal Using Semantic and Depth Priors
Deep Determinantal Point Process for Large-scale Multi-label Classification
Deep gated attention networks for large-scale street-level scene segmentation
Deep Gaussian scale Mixture Prior for Image Reconstruction
Deep Gaussian scale Mixture Prior for Spectral Compressive Imaging
Deep Ground Filtering of Large-scale ALS Point Clouds via Iterative Sequential Ground Prediction
Deep Hashing for Large scale Systems
Deep image clustering with contrastive learning and multi-scale graph convolutional networks
Deep image compression based on multi-scale deformable convolution
Deep Joint-Semantics Reconstructing Hashing for Large-scale Unsupervised Cross-Modal Retrieval
Deep Learning and Phenology Enhance Large-scale Tree Species Classification in Aerial Imagery during a Biosecurity Response
Deep Learning Classification of Large-scale Point Clouds: A Case Study on Cuneiform Tablets
Deep Learning for Large-scale Traffic-Sign Detection and Recognition
Deep learning for occluded and multi-scale pedestrian detection: A review
Deep Learning for Segmentation Using an Open Large-scale Dataset in 2D Echocardiography
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-scale Climate Index Data
Deep Learning the City: Quantifying Urban Perception at a Global scale
Deep Learning-Based Classification and Reconstruction of Residential Scenes From Large-scale Point Clouds
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database
Deep Loss Driven Multi-scale Hashing Based on Pyramid Connected Network
Deep Mixture of Diverse Experts for Large-scale Visual Recognition
Deep multi-scale and multi-modal fusion for 3D object detection
Deep Multi-scale Architectures for Monocular Depth Estimation
Deep Multi-scale Context Aware Feature Aggregation for Curved Scene Text Detection
Deep Multi-scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Deep Multi-scale Feature Learning for Defocus Blur Estimation
Deep Multi-scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners
Deep Multi-scale Recurrent Network for Synthetic Aperture Radar Images Despeckling
Deep Neighborhood Structure-Preserving Hashing for Large-scale Image Retrieval
Deep Realistic Novel View Generation for City-scale Aerial Images
Deep Recursive Multi-scale Feature Fusion Network for Image Super-Resolution, A
Deep Residual Multi-scale Convolutional Network for Spatial Steganalysis, A
Deep scale-space Mining Network for Single Image Deraining
Deep Vesselness Measure from scale-Space Analysis of Hessian Matrix Eigenvalues
DeepBees - Building and Scaling Convolutional Neuronal Nets For Fast and Large-scale Visual Monitoring of Bee Hives
DeepDSAIR: Deep 6-DOF camera relocalization using deblurred semantic-aware image representation for large-scale outdoor environments
DeepEdge: A multi-scale bifurcated deep network for top-down contour detection
DeeperForensics-1.0: A Large-scale Dataset for Real-World Face Forgery Detection
DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition
Deeply learned pore-scale facial features with a large pore-to-pore correspondences dataset
DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite Imagery
DeepMapping2: Self-Supervised Large-scale LiDAR Map Optimization
DeepM^2CDL: Deep Multi-scale Multi-Modal Convolutional Dictionary Learning Network
DeepPatent: Large scale patent drawing recognition and retrieval
DeepSkeleton: Learning Multi-Task scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Defense Against Adversarial Images Using Web-scale Nearest-Neighbor Search
Defocus Blur-Invariant scale-Space Feature Extractions
Defocus Deblur Microscopy via Head-to-Tail Cross-scale Fusion
Deformable Alignment And scale-Adaptive Feature Extraction Network For Continuous-Scale Satellite Video Super-Resolution
Deformable Alignment And scale-Adaptive Feature Extraction Network For Continuous-Scale Satellite Video Super-Resolution
Deformable multi-scale scheme for biometric personal identification
Deformable Object Matching Based on Multi-scale Local Histograms
Deformation Monitoring At European scale: the Copernicus Ground Motion Service
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-scale Deep Features
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features
Degradation of Kinematic PPP of GNSS Stations in Central Europe Caused by Medium-scale Traveling Ionospheric Disturbances During the St. Patrick's Day 2015 Geomagnetic Storm
Degraded Gray-scale Text Recognition Using Pseudo-2D Hidden Markov-Models and N-Best Hypotheses
Delaunay-Triangulation-Based Variable Neighborhood Search to Solve Large-scale General Colored Traveling Salesman Problems
DELFlow: Dense Efficient Learning of Scene Flow for Large-scale Point Clouds
Delineation of Built-Up Areas from Very High-Resolution Satellite Imagery Using Multi-scale Textures and Spatial Dependence
Delving into the Effectiveness of Receptive Fields: Learning scale-Transferrable Architectures for Practical Object Detection
DEM (Digital Elevation Model) Production and Accuracy Modeling of DEMs from 1:35.000 scale Aerial Photographs
DEM Generation With a scale Factor Using Multi-Aspect SAR Imagery Applying Radargrammetry
DEM-Based Vs30 Map and Terrain Surface Classification in Nationwide scale: A Case Study in Iran
Demand for Ecosystem Services Drive Large-scale Shifts in Land-Use in Tropical Mountainous Watersheds Prone to Landslides
DENet: A Universal Network for Counting Crowd With Varying Densities and scales
Dense Attention Pyramid Networks for Multi-scale Ship Detection in SAR Images
Dense Correspondences across Scenes and scales
Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and scale-Space Based Approach
dense multi-scale context and asymmetric pooling embedding network for smoke segmentation, A
Dense Oil Tank Detection and Classification via YOLOX-TR Network in Large-scale SAR Images
Dense range images from sparse point clouds using multi-scale processing
Dense scale Selection Over Space, Time, and Space-Time
Dense small face detection based on regional cascade multi-scale method
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-scale Benchmark and Baseline
Dense-scale Feature Learning in Person Re-identification
Density-Based Vehicle Counting with Unsupervised scale Selection
Depth completion towards different sensor configurations via relative depth map estimation and scale recovery
Depth Estimation of Multi-Modal Scene Based on Multi-scale Modulation
Depth image super-resolution using correlation-controlled color guidance and multi-scale symmetric network
Depth Map Enhancement by Revisiting Multi-scale Intensity Guidance Within Coarse-to-Fine Stages
Depth Map Inpainting And Super-Resolution With Arbitrary scale Factors
Depth Map Super-Resolution by Deep Multi-scale Guidance
Depth Pooling Based Large-scale 3-D Action Recognition with Convolutional Neural Networks
Depth-Aware Multi-Person 3D Pose Estimation With Multi-scale Waterfall Representations
Depth-Induced Multi-scale Recurrent Attention Network for Saliency Detection
Depth2Action: Exploring Embedded Depth for Large-scale Action Recognition
Depths Inferred from Velocities Estimated by Remote Sensing: A Flow Resistance Equation-Based Approach to Mapping Multiple River Attributes at the Reach scale
Derivation of Geometrically and Semantically Annotated UAV Datasets at Large scales from 3D City Models
Derivative-Based scale Invariant Image Feature Detector With Error Resilience
Deriving Field scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region
Deriving scale normalisation factors for a GLoG detector
Describing contrast across scales
Descriptor correlation analysis for remote sensing image multi-scale classification
Design and Application of Multi-Dimensional Visualization System for Large-scale Ocean Data
Design and implementation of a wide area, large-scale camera network
Design and learn distinctive features from pore-scale facial keypoints
Design of a low cross-talk micro-coil array for micro-scale MRI
Design of multi-scale receptive field convolutional neural network for surface inspection of hot rolled steels
Design of Wetland-Ecological Corridor Using Multi-scale Remote Sensing Image Segmentation Method
Design strategies for direct multi-scale and multi-orientation feature extraction in the log-polar domain
Designing CW Range-Resolved Environmental S-Lidars for Various Range scales: From a Tabletop Test Bench to a 10 km Path
Desynchronized image fingerprint for large scale distribution
Detail Preserving Multi-scale Exposure Fusion
Detail-Enhanced Multi-scale Exposure Fusion
Detail-Enhanced Multi-scale Exposure Fusion in YUV Color Space
Detail-Preserving Cross-scale Learning Strategy for CNN-Based Pansharpening, A
Detail-Preserving scale-Driven Approach to Change Detection in Multitemporal SAR Images, A
Detectability of Buildings in Aerial Images over scale Space
Detecting 11K Classes: Large scale Object Detection Without Fine-Grained Bounding Boxes
Detecting and parsing architecture at city scale from range data
Detecting and Visualizing Observation Hot-Spots in Massive Volunteer-Contributed Geographic Data across Spatial scales Using GPU-Accelerated Kernel Density Estimation
Detecting Contour Saliences using Tensor scale
Detecting Forest Degradation in the Three-North Forest Shelterbelt in China from Multi-scale Satellite Images
Detecting Group Turn Patterns in Conversations Using Audio-Video Change scale-Space
Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture
Detecting hubs and quasi cliques in scale-free networks
Detecting Humans in Dense Crowds Using Locally-Consistent scale Prior and Global Occlusion Reasoning
Detecting image seam carving with low scaling ratio using multi-scale spatial and spectral entropies
Detecting interpretable and accurate scale-invariant keypoints
Detecting Irregular Curvilinear Structures in Gray scale and Color Imagery Using Multi-directional Oriented Flux
Detecting Large-scale Landslides Using Lidar Data and Aerial Photos in the Namasha-Liuoguey Area, Taiwan
Detecting Large-scale Urban Land Cover Changes from Very High Resolution Remote Sensing Images Using CNN-Based Classification
Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network
Detecting Neolithic Burial Mounds from LiDAR-Derived Elevation Data Using a Multi-scale Approach and Machine Learning Techniques
Detecting Recent Dynamics in Large-scale Landslides via the Digital Image Correlation of Airborne Optic and LiDAR Datasets: Test Sites in South Tyrol (Italy)
Detecting Salient Blob-Like Image Structures and Their scales with a Scale-Space Primal Sketch: A Method for Focus-of-Attention
Detecting Salient Blob-Like Image Structures and Their scales with a Scale-Space Primal Sketch: A Method for Focus-of-Attention
Detecting Screen Shot Images within Large-scale Video Archive
Detecting Urban Floods with Small and Large scale Analysis of ALOS-2/PALSAR-2 Data
Detection and analysis of large-scale WT blade surface cracks based on UAV-taken images
Detection and localization with multi-scale models
Detection and Monitoring of Small-scale Diamond and Gold Mining Dredges Using Synthetic Aperture Radar on the Kadei (Sangha) River, Central African Republic
Detection and Normalization of Blown-out Illumination Areas in Grey-scale Images
Detection and recognition of 3D targets in panchromatic gray scale imagery using a biologically-inspired algorithm
Detection and Reconstruction of Human scale Features from High Resolution Interferometic SAR Data
Detection and Volume Estimation of Large-scale Landslides Based on Elevation-Change Analysis Using DEMs Extracted From High-Resolution Satellite Stereo Imagery
Detection Method of Artificial Area From High Resolution Remote Sensing Images Based On Multi scale And Multi Feature Fusion, A
Detection of Carbon Use Efficiency Extremes and Analysis of Their Forming Climatic Conditions on a Global scale Using a Remote Sensing-Based Model
Detection of Catchment-scale Gully-Affected Areas Using Unmanned Aerial Vehicle (UAV) on the Chinese Loess Plateau
Detection of Critical Structures in scale Space
Detection of Curved and Straight Segments from Gray-scale Topography
Detection of curvilinear structures and reconstruction of their regions in gray-scale images
Detection of dominant orthogonal road structures in small scale
Detection of Dominant Points on Digital Curves by scale-Space Filtering, The
Detection of human faces under scale, orientation and viewpoint variations
Detection of Large-scale Floods Using Google Earth Engine and Google Colab
Detection of Large-scale Forest Canopy Change in Pan-Tropical Humid Forests 2000-2009 With the SeaWinds Ku-Band Scatterometer
Detection of linear bands in gray-scale images based on the Euclidean distance transform and the Hough transform
Detection of microaneurysms using multi-scale correlation coefficients
Detection of Peanut Leaf Spot Disease Based on Leaf-, Plant-, and Field-scale Hyperspectral Reflectance
Detection of Retinal Vascular Bifurcations by Rotation- and scale-Invariant COSFIRE Filters
Detection of Standing Dead Trees after Pine Wilt Disease Outbreak with Airborne Remote Sensing Imagery by Multi-scale Spatial Attention Deep Learning and Gaussian Kernel Approach
Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product
Detection of the Vanishing Line of the Ocean Surface from Pairs of scale-Invariant Keypoints
Detection, Localization and Classification of Multiple Mechanized Ocean Vessels over Continental-Shelf scale Regions with Passive Ocean Acoustic Waveguide Remote Sensing
Determination of optimal scale parameters for alliance-level forest classification of multispectral Ikonos images
DetermiNet: A Large-scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners
Determining an Initial Image Pair for Fixing the scale of a 3D Reconstruction from an Image Sequence
Determining large scale sandbar behaviour
Determining Local Natural scales of Curves
Determining number of clusters and prototype locations via multi-scale clustering
Determining Regional-scale Groundwater Recharge with GRACE and GLDAS
Determining scale and Sea State From Water Video
Determining the Intangible: Detecting Land Abandonment at Local scale
Determining the scale of interest regions in videos
Deterministic Fitting of Multiple Structures Using Iterative MaxFS with Inlier scale Estimation
DETR Does Not Need Multi-scale or Locality Design
Developing a Multi-scale Convolutional Neural Network for Spatiotemporal Fusion to Generate MODIS-like Data Using AVHRR and Landsat Images
Developing a Pixel-scale Corrected Nighttime Light Dataset (PCNL, 1992-2021) Combining DMSP-OLS and NPP-VIIRS
Developing A Strategy for Precise 3d Modelling of Large-scale Scenes For VR
Developing in situ Non-Destructive Estimates of Crop Biomass to Address Issues of scale in Remote Sensing
Development and Evaluation of a River-Basin-scale High Spatio-Temporal Precipitation Data Set Using the WRF Model: A Case Study of the Heihe River Basin
Development and Testing of Octree-Based Intra-Voxel Statistical Inference to Enable Real-Time Geotechnical Monitoring of Large-scale Underground Spaces with Mobile Laser Scanning Data
Development of a City-scale Approach for Facade Color Measurement with Building Functional Classification Using Deep Learning and Street View Images
Development of a Multi-scale Tomato Yield Prediction Model in Azerbaijan Using Spectral Indices from Sentinel-2 Imagery
Development of a New Daily-scale Forest Fire Danger Forecasting System Using Remote Sensing Data
Development of a Radar Reflector Kit for Older Adults to Use to Signal Their Location and Needs in a Large-scale Earthquake Disaster
Development of a Small-scale Research Platform for Intelligent Transportation Systems
Development of an Object-Based Interpretive System Based on Weighted Scoring Method in a Multi-scale Manner
Development of Dark Hyperspectral Absolute Calibration Model Using Extended Pseudo Invariant Calibration Sites at a Global scale: Dark EPICS-Global, The
Development of Enhanced Vortex-scale Atmospheric Motion Vectors for Hurricane Applications
Development of scale and illumination invariant feature detector with application to UAV attitude estimation
Development of Versatile Mobile Mapping System on A Small scale
DFRS: A Large-scale Distributed Fingerprint Recognition System Based on Redis
DFT based rotation and scale invariant Gabor texture descriptor and its application to gastroenterology, A
DH3D: Deep Hierarchical 3d Descriptors for Robust Large-scale 6DOF Relocalization
Dhff: Robust Multi-scale Person Search by Dynamic Hierarchical Feature Fusion
DHNet: Salient Object Detection With Dynamic scale-Aware Learning and Hard-Sample Refinement
Diagnostics of Es Layer Scintillation Observations Using FS3/COSMIC Data: Dependence on Sampling Spatial scale
Diatom Contour Analysis Using Morphological Curvature scale Spaces
Dictionary-Based Video Face Recognition Using Dense Multi-scale Facial Landmark Features
Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds
Difference theoretic feature set for scale-, illumination- and rotation-invariant texture classification
Different Approaches to Use Morphometric Attributes in Landslide Susceptibility Mapping Based on Meso-scale Spatial Units: A Case Study in Rio de Janeiro (Brazil)
Different scales of Urban Traffic Noise Prediction
Differential and Integral Geometry of Linear scale Spaces
differential method for simultaneous estimation of rotation, change of scale and translation, A
Differential Morphological Decomposition Segmentation: A Multi-scale Object Based Image Description
Differentiating Between Many Similar Features using Relational Information in Space and scale
Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale
digit-serial architecture for gray-scale morphological filtering, A
Digital Archiving of People Flow by Recycling Large-scale Social Survey Data of Developing Cities
Digital Halftoning through Approximate Optimization of scale-Related Perceived Error Metric
Digital image processing algorithm for output devices with discrete halftone gray scale capability
Digital image processing technique including improved gray scale compression
Digital stereo photogrammetry for grain-scale monitoring of fluvial surfaces: Error evaluation and workflow optimisation
Dilated Divergence Based scale-Space Representation for Curve Analysis
Dilated-scale-Aware Category-Attention ConvNet for Multi-Class Object Counting
DilateFormer: Multi-scale Dilated Transformer for Visual Recognition
Dimensionality Based scale Selection in 3D LIDAR Point Clouds
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
Direct Computation of Shape Cues Based on scale-Adapted Spatial Derivative Operators
Direct Computation of Shape Cues Using scale-Adapted Spatial Derivative Operators
Direct Curvature scale Space in Corner Detection
Direct Curvature scale Space: Theory and Corner Detection
Direct Estimation of Affine Deformations Using Visual Front-End Operators with Automatic scale Selection
Direct Estimation of Image Deformations Using Visual Front-End Operations with Automatic scale Selection
Direct Extraction of Topographic Features for Gray scale Character Recognition
Direct Gray-scale Extraction of Features for Character Recognition
Direct Gray-scale Minutiae Detection in Fingerprints
Direct Gray-scale Minutiae Extraction
Direct multi-scale dual-stream network for pedestrian detection
Direct Representation and Detection of Multi-scale, Multi-Orientation Fields Using Local Differentiation Filters
Direct visual servoing in the non-linear scale space of camera pose
Directed interactivity of large-scale brain networks: Introducing a new method for estimating resting-state effective connectivity MRI
Directional Analysis of Images in scale Space
Directional Multi-scale Modeling of High-Resolution Computed Tomography (HRCT) Lung Images for Diffuse Lung Disease Classification
Disaggregation of SMAP Soil Moisture at 20 m Resolution: Validation and Sub-Field scale Analysis
Disam: Density Independent and scale Aware Model for Crowd Counting and Localization
Disconnected Skeleton: Shape at Its Absolute scale
Discovering Human Interactions with Large-Vocabulary Objects via Query and Multi-scale Detection
Discovering Person Identity via Large-scale Observations
Discovering Pictorial Brand Associations from Large-scale Online Image Data
Discovering Synchronized Subsets of Sequences: A Large scale Solution
Discrete approach for automatic knowledge extraction from precedent large-scale data, and classification
Discrete Derivative Approximations with scale-Space Properties: A Basis for Low-Level Feature Extraction
Discrete Representation of Top Points via scale Space Tessellation
Discrete scale Space Neighborhood for Robust Deep Structure Extraction, A
Discrete scale-Space Representation, A
Discrete scale-Space Theory and the Scale-Space Primal Sketch
Discrete scale-Space Theory and the Scale-Space Primal Sketch
Discrete-continuous optimization for large-scale structure from motion
discriminant color space method for face representation and verification on a large-scale database, A
Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF kernel fuzzy support vector machine
Discrimination of Natural Contours by Means of Time-scale-Frequency Decompositions
Discriminative Geometric-Structure-Based Deep Hashing for Large-scale Image Retrieval
Discriminative learning of relaxed hierarchy for large-scale visual recognition
Discriminative Model with Multiple Temporal scales for Action Prediction, A
Discriminative multi-scale sparse coding for single-sample face recognition with occlusion
Discriminative scale Space Tracking
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-scale Distortion Awareness
Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily scales in the Western Mediterranean
Disocclusion hole-filling in DIBR-synthesized images using multi-scale template matching
Disparity Estimation of High-Resolution Remote Sensing Images with Dual-scale Matching Network
Distance Measure and a Feature Likelihood Map Concept for scale-Invariant Model Matching, A
Distance-Intensity Image Strategy for Pulsed LiDAR Based on the Double-scale Intensity-Weighted Centroid Algorithm
Distantly Supervised Lifelong Learning for Large-scale Social Media Sentiment Analysis
Distinctive Image Features from scale-Invariant Keypoints
distortion-agnostic video quality metric based on multi-scale spatio-temporal structural information, A
Distributed autoencoder classifier network for small-scale and scattered COVID-19 dataset classification
Distributed bundle adjustment with block-based sparse matrix compression for super large scale datasets
Distributed Connected Component Filtering and Analysis in 2D and 3D Tera-scale Data Sets
Distributed Face Retrieval System for Large-scale Social Networking Avatars, A
Distributed KD-Trees for Ultra Large scale Object Recognition
Distributed message passing for large scale graphical models
Distributed Multi-Agent Reinforcement Learning With Graph Decomposition Approach for Large-scale Adaptive Traffic Signal Control, A
Distributed N-FINDR Cloud Computing-Based Solution for Endmembers Extraction on Large-scale Hyperspectral Remote Sensing Data, A
Distributed Non-convex ADMM-based inference in large-scale random fields
Distributed Surface Reconstruction from Point Cloud for City-scale Scenes
Distributed Very Large scale Bundle Adjustment by Global Camera Consensus
Distribution Consistency Loss for Large-scale Remote Sensing Image Retrieval
Distribution of Artisanal and Small-scale Gold Mining in the Tapajos River Basin (Brazilian Amazon) over the Past 40 Years and Relationship with Water Siltation
Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy scales
Diurnal Cycle of Passive Microwave Brightness Temperatures over Land at a Global scale
Diurnal scale Controls on C-Band Microwave Backscatter From Snow-Covered First-Year Sea Ice During the Transition From Late Winter to Early Melt
Diverse Scene Stitching from a Large-scale Aerial Video Dataset
Divide and Conquer: A Hierarchical Approach to Large-scale Structure-from-Motion
Divide and Conquer: Efficient Large-scale Structure from Motion Using Graph Partitioning
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-scale Building Facade Point Clouds
DLSTM approach to video modeling with hashing for large-scale video retrieval
DMA-Net: DeepLab With Multi-scale Attention for Pavement Crack Segmentation
DMAGNet: Dual-path multi-scale attention guided network for medical image segmentation
DMCNN: Dual-Domain Multi-scale Convolutional Neural Network for Compression Artifacts Removal
DMRA: Depth-Induced Multi-scale Recurrent Attention Network for RGB-D Saliency Detection
DMSANet: Dual Multi scale Attention Network
Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics
Do What You Can, With What You Have: scale-aware and High Quality Monocular Depth Estimation Without Real World Labels
Document image segmentation using loose gray scale template matching
Document image segmentation using wavelet scale-space features
Documentation of conservation state in large-scale subsurface objects
Domain adaptive crowd counting via dynamic scale aggregation network
Domain adaptive semantic diffusion for large scale context-based video annotation
Domain Adversarial Neural Networks for Large-scale Land Cover Classification
Domain Decomposition for Large-scale Viscoacoustic Wave Simulation Using Localized Pseudo-Spectral Method
Domain-adaptive Data Synthesis for Large-scale Supermarket Product Recognition
DOTA: A Large-scale Benchmark and Challenges for Object Detection in Aerial Images
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
double mapping framework for extraction of shape-invariant features based on multi-scale partitions with AdaBoost for video smoke detection, A
Downscaling Surface Water Inundation from Coarse Data to Fine-scale Resolution: Methodology and Accuracy Assessment
DP-MVS: Detail Preserving Multi-View Surface Reconstruction of Large-scale Scenes
Drinking From a Firehose: Continual Learning With Web-scale Natural Language
DriveAHead: A Large-scale Driver Head Pose Dataset
Driver distraction detection via multi-scale domain adaptation network
Drivers Learn City-scale Intra-Daily Dynamic Equilibrium
Driving Factors and scale Effects of Residents' Willingness to Pay for Environmental Protection under the Impact of COVID-19
DrivingStereo: A Large-scale Dataset for Stereo Matching in Autonomous Driving Scenarios
Drone-Based Tracking of the Fine-scale Movement of a Coastal Stingray (Bathytoshia brevicaudata)
Drone-NeRF: Efficient NeRF based 3D scene reconstruction for large-scale drone survey
DropSample: A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency
DTT-CGINet: A Dual Temporal Transformer Network with Multi-scale Contour-Guided Graph Interaction for Change Detection
Dual Attention Based Multi-scale Feature Fusion Network for Indoor RGBD Semantic Segmentation
Dual attention guided multi-scale fusion network for RGB-D salient object detection
Dual encoding DDS-UNet liver tumour segmentation based on multi-scale deep and shallow feature fusion
Dual Path Cross-scale Attention Network For Image Inpainting
Dual Representation of Gray-scale Morphological Filters, The
Dual-branch multi-scale densely connected network for image splicing detection and localization
Dual-Frequency Airborne SAR for Large scale Mapping of Tidal Flats
Dual-scale point cloud completion network based on high-frequency feature fusion
Dual-scale Single Image Dehazing via Neural Augmentation
Dual-scale weighted structural local sparse appearance model for object tracking
DukeMTMC4ReID: A Large-scale Multi-camera Person Re-identification Dataset
Duo-graph: An efficient and robust method for large-scale mapping for visual-guided robots
Duplicate-Search-Based Image Annotation Using Web-scale Data
DUPnet: Water Body Segmentation with Dense Block and Multi-scale Spatial Pyramid Pooling for Remote Sensing Images
Dust Dispersion and Its Effect on Vegetation Spectra at Canopy and Pixel scales in an Open-Pit Mining Area
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-Identification
Dyadic scale-Space
Dynamic 3D facial expression modeling using Laplacian smooth and multi-scale mesh matching
Dynamic Analysis of Mangrove Forests Based on an Optimal Segmentation scale Model and Multi-Seasonal Images in Quanzhou Bay, China
Dynamic and scalable large scale image reconstruction
Dynamic Class Queue for Large scale Face Recognition In the Wild
Dynamic compressive magnetic resonance imaging using a Gaussian scale mixtures model
Dynamic Crowd Accident-Risk Assessment Based on Internal Energy and Information Entropy for Large-scale Crowd Flow Considering COVID-19 Epidemic
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic scales
Dynamic Multi-scale Filters for Semantic Segmentation
Dynamic Multi-scale Voxel Flow Network for Video Prediction, A
Dynamic scale-Space Paradigm, A
Dynamic scale-Space Theories
Dynamic Temporal Pyramid Network: A Closer Look at Multi-scale Modeling for Activity Detection
Dynamic texture analysis using Temporal Gray scale Pattern Image for water surface velocity measurement
Dynamic Texture Recognition Using Time-Causal Spatio-Temporal scale-Space Filters
Dynamic texture representation using a deep multi-scale convolutional network
Dynamic traffic signal control using mean field multi-agent reinforcement learning in large scale road-networks
Dynamic-scale Model Construction From Range Imagery
E-MPSPNet: Ice-Water SAR Scene Segmentation Based on Multi-scale Semantic Features and Edge Supervision
EAGLE: Large-scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery
Early validation of the multi-angle imaging spectroradiometer (MISR) radiometric scale
Earth observation based multi-scale assessment of logging activities in the Democratic Republic of the Congo
Earth Observation for the Implementation of Sustainable Development Goal 11 Indicators at Local scale: Monitoring of the Migrant Population Distribution
EarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task
EarthVision: Large scale Computer Vision for Remote Sensing Imagery
easily implemented method to estimate impervious surface area on a large scale from MODIS time-series and improved DMSP-OLS nighttime light data, An
Echocardiogram view classification using edge filtered scale-invariant motion features
Ecological Quality Evaluation of Large-scale Farms Based on an Improved Remote Sensing Ecological Index, An
Ecological Security Patterns at Different Spatial scales on the Loess Plateau
Economic Model Predictive Control of Large-scale Urban Road Networks via Perimeter Control and Regional Route Guidance
EDFace-Celeb-1 M: Benchmarking Face Hallucination With a Million-scale Dataset
Edge Augmentation for Large-scale Sketch Recognition without Sketches
Edge aware depth inference for large-scale aerial building multi-view stereo
Edge Contours using Multiple scales
Edge Detection and Ridge Detection with Automatic scale Selection
Edge detection by scale multiplication in wavelet domain
Edge detection of intestinal parasites in stool microscopic images using multi-scale wavelet transform
Edge Detection Using Topological Gradients: A scale-Space Approach
Edge Detection with Automatic scale Selection
edge detection with automatic scale selection approach to improve coherent visual attention model, An
Edge Detection with Gaussian Filters at Multiple scales
Edge fusion back projection GAN for large scale face super resolution
Edge Guided GANs With Multi-scale Contrastive Learning for Semantic Image Synthesis
Edge Preserving and Multi-scale Contextual Neural Network for Salient Object Detection
Edge supervision and multi-scale cost volume for stereo matching
Edge-Based Defocus Blur Estimation With Adaptive scale Selection
Edge-Guided Image Gap Interpolation Using Multi-scale Transformation
Edge-preserving decompositions for multi-scale tone and detail manipulation
Edge-preserving smoothing pyramid based multi-scale exposure fusion
Edgel index for large-scale sketch-based image search
Editorial for the Special Issue Remote Sensing in Coastal Zone Monitoring and Management: How Can Remote Sensing Challenge the Broad Spectrum of Temporal and Spatial scales in Coastal Zone Dynamic?
Editorial of Special Issue Remote Sensing for Land Cover/Land Use Mapping at Local and Regional scales
EDT Based Tracing Maximum Thinning Algorithm on Grey scale Images
effect of short ground vegetation on terrestrial laser scans at a local scale, The
Effect of Speckle Filtering on scale-Dependent Texture Estimation of a Forested Scene, The
effective approach for gap-filling continental scale remotely sensed time-series, An
Effective full-scale detection for salient object based on condensing-and-filtering network
Effective geometric restoration of distorted historical document for large-scale digitisation
Effective image tampering localization with multi-scale ConvNeXt feature fusion
Effective Multiple Feature Hashing for Large-scale Near-Duplicate Video Retrieval
Effective Range and Driving Factors of the Urban Ventilation Corridor Effect on Urban Thermal Comfort at Unified scale with Multisource Data
effective resolution definition or how to choose an edge detector, its scale parameter and the threshold?, An
effective retinal blood vessel segmentation method using multi-scale line detection, An
Effective scale: A Natural Unit for Measuring Scale-Space Lifetime
Effective scale: A Natural Unit for Measuring Scale-Space Lifetime
Effective shadow removal via multi-scale image decomposition
Effectiveness of Large-scale, High-Resolution Ground-Penetrating Radar Surveys and Trial Trenching for Archaeological Site Evaluations: A Comparative Study from Two Sites in Norway, The
effectiveness of MAE pre-pretraining for billion-scale pretraining, The
Effectiveness of Mel scale-Based ESA-IFCC Features for Classification of Natural vs. Spoofed Speech
Effects of Directional Wave Spectra on the Modeling of Ocean Radar Backscatter at Various Azimuth Angles by a Modified Two-scale Method
Effects of Potential Large-scale Irrigation on Regional Precipitation in Northwest China
Effects of Small-scale Gold Mining Tailings on the Underwater Light Field in the Tapajos River Basin, Brazilian Amazon
Effects of Variability on Estimating scale Change Using Texture, The
Effects of Wind Wave Spectra, Non-Gaussianity, and Swell on the Prediction of Ocean Microwave Backscatter with Facet Two-scale Model
Efficient 2-D Gray-scale Dilations and Erosions with Arbitrary Flat Structuring Elements
Efficient 3D Point Cloud Feature Learning for Large-scale Place Recognition
Efficient 3D Reconstruction, Streaming and Visualization of Static and Dynamic Scene Parts for Multi-client Live-telepresence in Large-scale Environments
Efficient 6D object pose estimation based on attentive multi-scale contextual information
efficient algorithm for Arabic optical font recognition using scale-invariant detector, An
efficient algorithm for computing moments on a block representation of a grey-scale image, An
Efficient Algorithm for Computing Multi-scale Connectivity Measures, An
efficient algorithm for the extraction of contours and curvature scale space on SIMD-powered Smart Cameras, An
Efficient and accurate computation of geometric moments on gray-scale images
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Efficient and Robust Hybrid SfM Method for Large-scale Scenes, An
Efficient and Robust Large-scale Rotation Averaging
Efficient and robust large-scale structure-from-motion via track selection and camera prioritization
Efficient and robust model fitting with unknown noise scale
Efficient and Robust Path Openings Using the scale-Invariant Rank Operator
efficient and sparse approach for large scale human action recognition in videos, An
Efficient Approximation of Gray-scale Images Through Bounded Error Triangular Meshes
Efficient Calculation Method for Tree Stem Traits from Large-scale Point Clouds of Forest Stands
Efficient Colorization of Large-scale Point Cloud Using Multi-pass Z-Ordering
Efficient Computation of scale-Space Features for Deformable Shape Correspondences
Efficient Deep Representation Based Framework for Large-scale Terrain Classification, An
Efficient Dense and scale-Invariant Spatio-Temporal Interest Point Detector, An
efficient design of a nearest neighbor classifier for various-scale problems, An
Efficient Distributed Event Scheduling Algorithm for Large scale Wireless Communications Simulation Modelling, An
Efficient Edge Detection Using Two scales
Efficient Effective Prioritized Matching for Large-scale Image-Based Localization
efficient FastSLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurements, An
Efficient Feature Detection and Effective Post-Verification for Large scale Near-Duplicate Image Search
Efficient Fisher Matrix Approximation Method for Large-scale Neural Network Optimization, An
Efficient Global 2D-3D Matching for Camera Localization in a Large-scale 3D Map
Efficient global color correction for large-scale multiple-view images in three-dimensional reconstruction
Efficient Global scale Sentinel-1 Radar Backscatter and Interferometric Processing System, An
Efficient high order neural network for rotation, translation and distance invariant recognition of gray scale images
Efficient huge-scale feature selection with speciated genetic algorithm
Efficient indexing and retrieval of large-scale geo-tagged video databases
Efficient indexing for large scale visual search
Efficient Indexing of Billion-scale Datasets of Deep Descriptors
Efficient keypoint detection and description using filter kernel decomposition in scale space
Efficient large scale acquisition of building interiors
Efficient Large scale Image Classification via Prediction Score Decomposition
Efficient Large scale Inlier Voting for Geometric Vision Problems
Efficient Large-scale Airborne Lidar Data Classification Via Fully Convolutional Network
Efficient Large-scale Approximate Nearest Neighbor Search on OpenCL FPGA
Efficient Large-scale Approximate Nearest Neighbor Search on the GPU
Efficient large-scale distance-based join queries in spatialhadoop
Efficient large-scale geometric verification for structure from motion
Efficient Large-scale Image Search With a Vocabulary Tree
Efficient Large-scale Localization by Global Instance Recognition
Efficient large-scale multi-class image classification by learning balanced trees
Efficient large-scale multi-view stereo for ultra high-resolution image sets
Efficient large-scale oblique image matching based on cascade hashing and match data scheduling
Efficient large-scale photometric reconstruction using Divide-Recon-Fuse 3D Structure from Motion
Efficient Large-scale Semantic Visual Localization in 2d Maps
Efficient Large-scale Similarity Search Using Matrix Factorization
Efficient Large-scale Stereo Matching
Efficient Large-scale Structure From Motion by Fusing Auxiliary Imaging Information
Efficient Large-scale Structured Learning
Efficient Large-scale Video Retrieval via Discriminative Signatures
Efficient Learning of Spatial Patterns with Multi-scale Conditional Random Fields for Region-Based Classification
Efficient MAE towards Large-scale Vision Transformers
Efficient Maximum Appearance Search for Large-scale Object Detection
Efficient measurement of large-scale decadal shoreline change with increased accuracy in tide-dominated coastal environments with Google Earth Engine
Efficient Mining of Repetitions in Large-scale TV Streams with Product Quantization Hashing
Efficient Modeling of Large-scale Electromagnetic Well-Logging Problems Using an Improved Nonconformal FEM-DDM
Efficient multi-plane extraction from massive 3D points for modeling large-scale urban scenes
Efficient Multi-Resolution Edge Detector Employing a Wide Range of scales, An
Efficient Multi-scale Cosine Attention Transformer for Image Super-Resolution
Efficient Multi-scale Plane Extraction Based RGBD Video Segmentation
Efficient multi-scale retinex algorithm using multi-rate image processing
Efficient Multi-scale Stereo of High-Resolution Planar and Spherical Images
Efficient Multi-view Performance Capture of Fine-scale Surface Detail
Efficient Multi-View Reconstruction of Large-scale Scenes using Interest Points, Delaunay Triangulation and Graph Cuts
Efficient Nearest Neighbors Search for Large-scale Landmark Recognition
Efficient Object Recognition and Image Retrieval for Large-scale Applications
Efficient Online City-scale Patrolling by Exploiting Offline Model-Based Coordination Policy
Efficient Parallel Algorithm for Multi-scale Analysis of Connected Components in Gigapixel Images, An
Efficient Parallel Multi-scale Segmentation Method for Remote Sensing Imagery, An
Efficient Particle scale Space for Robust Tracking
efficient pattern-less background modeling based on scale invariant local states, An
Efficient Pedestrian Detection Using Multi-scale HOG Features with Low Computational Complexity
Efficient Point Process Inference for Large-scale Object Detection
Efficient Proposals: scale Estimation for Object Proposals in Pedestrian Detection Tasks
Efficient representation of local geometry for large scale object retrieval
Efficient Retrieval for Large scale Metric Learning
Efficient Retrieval from Large-scale Egocentric Visual Data Using a Sparse Graph Representation
Efficient scale and Rotation Invariant Object Detection Based on HOGs and Evolutionary Optimization Techniques
Efficient scale space auto-context for image segmentation and labeling
Efficient scale- and Rotation-Invariant Encoding of Visual Words for Image Classification
Efficient scale-Adaptive License Plate Detection System
Efficient scale-Invariant Generator with Column-Row Entangled Pixel Synthesis
Efficient scale-Permuted Backbone with Learned Resource Distribution
Efficient scale-Space Spatiotemporal Saliency Tracking for Distortion-Free Video Retargeting
Efficient Screen Content Coding Based on Convolutional Neural Network Guided by a Large-scale Database
Efficient Search and Browsing of Large-scale Video Collections with Vibro
Efficient SfM for Large-scale UAV Images Based on Graph-Indexed BoW and Parallel-Constructed BA Optimization
Efficient Shape Matching and Retrieval at Multiple scales
Efficient Single Image Dehazing and Denoising: An Efficient Multi-scale Correlated Wavelet Approach
Efficient Single-Stage Pedestrian Detector by Asymptotic Localization Fitting and Multi-scale Context Encoding
Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools
Efficient Supervised Discrete Multi-View Hashing for Large-scale Multimedia Search
Efficient Supervised Graph Embedding Hashing for large-scale cross-media retrieval
Efficient Texture Representation Using Multi-scale Regions
Efficient Tracking of News Topics Based on Chronological Semantic Structures in a Large-scale News Video Archive
Efficient Traffic State Estimation for Large-scale Urban Road Networks
Efficient Training Approach for Very Large scale Face Recognition, An
Efficient use of the grammar scale factor to classify incorrect words in speech recognition verification
Efficient Variable Rate Image Compression With Multi-scale Decomposition Network
Efficient variational inference in large-scale Bayesian compressed sensing
Efficient View Clustering and Selection for City-scale 3D Reconstruction
Efficient Visualization of Large-scale Oblique Photogrammetry Models in Unreal Engine
Efficient weakly-supervised discrete hashing for large-scale social image retrieval
EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging
EfficientViT: Lightweight Multi-scale Attention for High-Resolution Dense Prediction
EgoCart: A Benchmark Dataset for Large-scale Indoor Image-Based Localization in Retail Stores
Egocentric Live 4D Perception (Ego4D) Dataset: A large-scale first-person video dataset, supporting research in multi-modal machine perception for daily life activity
EgoObjects: A Large-scale Egocentric Dataset for Fine-Grained Object Understanding
Elimination of Non-Novel Segments at Multi-scale for Few-Shot Segmentation
Elongated Small Object Detection from Remote Sensing Images Using Hierarchical scale-Sensitive Networks
EM Estimation of scale Factor for Quantization-Based Audio Watermarking
Embedding Based on Function Approximation for Large scale Image Search
Embedding halftones of different resolutions in a full-scale halftone
Embedding Visual Hierarchy With Deep Networks for Large-scale Visual Recognition
Emcenet: Efficient Multi-scale Context Exploration Network for Salient Object Detection
Emergent Semantic Patterns in Large scale Image Dataset: A Datamining Approach
Emerging Sensor Platforms Allow for Seagrass Extent Mapping in a Turbid Estuary and from the Meadow to Ecosystem scale
Emission-Based Machine Learning Approach for Large-scale Estimates of Black Carbon in China
EMMCNN: An ETPS-Based Multi-scale and Multi-Feature Method Using CNN for High Spatial Resolution Image Land-Cover Classification
EMO-MVS: Error-Aware Multi-scale Iterative Variable Optimizer for Efficient Multi-View Stereo
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes
Empirical Bayesian Approach to Quantify Multi-scale Spatial Structural Diversity in Remote Sensing Data, An
Empirical Bayesian Imaging With Large-scale Push-Forward Generative Priors
Empirical Evaluation of Current Convolutional Architectures: Ability to Manage Nuisance Location and scale Variability, An
Empirical Evaluation of MPEG-7 Texture Descriptors with A Large-scale Experiment
Empirical Regression Models for Estimating Multiyear Leaf Area Index of Rice from Several Vegetation Indices at the Field scale
Empirical Study of Multi-scale Filter Banks for Object Categorization
Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models
Enable scale and Aspect Ratio Adaptability in Visual Tracking with Detection Proposals
Enabling country-scale land cover mapping with meter-resolution satellite imagery
Enabling the Extraction of Climate-scale Temporal Salinity Variations from Aquarius: An Instrument Based Long-Term Radiometer Drift Correction
Encoder Deep Interleaved Network with Multi-scale Aggregation for RGB-D Salient Object Detection
Encoder-Decoder Based Convolutional Neural Networks with Multi-scale-Aware Modules for Crowd Counting
Encoding scale into fisher vector for human action recognition
End to End Framework to High Performance Geometry-Aware Multi-scale Keypoint Detection and Matching in Fisheye Imag, An
End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various scales
End-to-End Edge-Guided Multi-scale Matching Network for Optical Satellite Stereo Image Pairs
End-to-End Learning of Driving Models from Large-scale Video Datasets
End-to-End Multi-scale Residual Reconstruction Network for Image Compressive Sensing, An
End-to-End Object Separation for Threat Detection in Large-scale X-Ray Security Images
End-to-End Super-Resolution for Remote-Sensing Images Using an Improved Multi-scale Residual Network
End-to-end visual speech recognition for small-scale datasets
enhanced bloom index for quantifying floral phenology using multi-scale remote sensing observations, An
Enhanced copy-paste forgery detection in digital images using scale-invariant feature transform
enhanced large-scale benthic reflectance retrieval model for the remote sensing of submerged ecosystems in optically shallow waters, An
Enhanced Shift and scale Tolerance for Rotation Invariant Polar Matching With Dual-Tree Wavelets
Enhanced Transferable Adversarial Attack of scale-Invariant Methods, An
Enhancement of morphological snake based segmentation by imparting image attachment through scale-space continuity
Enhancing Building Segmentation in Remote Sensing Images: Advanced Multi-scale Boundary Refinement with MBR-HRNet
Enhancing identification for person search with multi-scale multi-grained representation learning
Enhancing Road Extraction in Large-scale Complex Terrain through Multi-Source Remote Sensing Image Fusion and Optimization
Enhancing Satellite Image Sequences through Multi-scale Optical Flow-Intermediate Feature Joint Network
Enhancing the Assimilation of SWOT Simulated Observations Using a Multi-scale 4DVAR Method in Regional Ocean Modeling System
Enhancing the Curvature scale Space Corner Detector
Enhancing transferability of adversarial examples with pixel-level scale variation
Enriching Large-scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework
Entropy Estimation and Multi-Dimensional scale Saliency
Entropy of scale-Space, The
Entropy scale-Space
Entropy-Balanced Bitmap Tree for Shape-Based Object Retrieval From Large-scale Satellite Imagery Databases
Entropy-scale Profiles for Texture Segmentation
Environment-Friendly School Bus Routing Problem With Heterogeneous Fleet: A Large-scale Real Case
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-scale Visual Localization
Equivariant Deep Learning via Morphological and Linear scale Space PDEs on the Space of Positions and Orientations
Error Characteristics and scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling
Error-diffused image compression using a binary-to-gray-scale decoder and predictive pruned tree-structured vector quantization
Establishing a Baseline for Regional scale Monitoring of Eelgrass (Zostera marina) Habitat on the Lower Alaska Peninsula
ESTARFM Fusion Framework for the Generation of Large-scale Time Series in Cloud-Prone and Heterogeneous Landscapes, An
Estimating Aboveground Carbon Stock at the scale of Individual Trees in Subtropical Forests Using UAV LiDAR and Hyperspectral Data
Estimating and Interpreting Fine-scale Gridded Population Using Random Forest Regression and Multisource Data
Estimating and mapping chlorophyll content for a heterogeneous grassland: Comparing prediction power of a suite of vegetation indices across scales between years
Estimating Angles and Curvature Features in Grey scale Images
Estimating attributes of smooth signal transitions from scale-space
Estimating Contribution of Training Datasets using Shapley Values in Data-scale for Visual Recognition
Estimating Daily Actual Evapotranspiration at a Landsat-Like scale Utilizing Simulated and Remote Sensing Surface Temperature
Estimating Fine-scale Heat Vulnerability in Beijing Through Two Approaches: Spatial Patterns, Similarities, and Divergence
Estimating Fire Background Temperature at a Geostationary scale: An Evaluation of Contextual Methods for AHI-8
Estimating Image Motion Using Temporal Multi-scale Optical Flow and Acceleration
Estimating inter-personal deformation with multi-scale modelling between expression for three-dimensional face recognition
Estimating Large-scale Interannual Dynamic Impervious Surface Percentages Based on Regional Divisions
Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial scales
Estimating Nitrogen from Structural Crop Traits at Field scale: A Novel Approach Versus Spectral Vegetation Indices
Estimating PM2.5 Concentrations Using Spatially Local Xgboost Based on Full-Covered SARA AOD at the Urban scale
Estimating Rainfall from Surveillance Audio Based on Parallel Network with Multi-scale Fusion and Attention Mechanism
Estimating scale of a Scene from a Single Image Based on Defocus Blur and Scene Geometry
Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial scale Based on Multi-Source Data
Estimating the Accuracy of Coarse scale Classification Using High Scale Information
Estimating the Accuracy of Coarse scale Classification Using High Scale Information
Estimating the surface and volume of laboratory-scale wildfire fuel using computer vision
Estimating Wheat Yield in China at the Field and District scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models
Estimation for Refined Carbon Storage of Urban Green Space and Minimum Spatial Mapping scale in a Plain City of China
Estimation of Absolute scale in Monocular SLAM Using Synthetic Data
Estimation of Arctic Basin-scale Sea Ice Thickness From Satellite Passive Microwave Measurements
Estimation of Attacker's scale and Noise Variance for QIM-DC Watermark Embedding
Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations
Estimation of Dense Displacement by scale Invariant Polynomial Expansion of Heterogeneous Multi-View Images
Estimation of Error in Curvature Computation on Multi-scale Free-Form Surfaces
Estimation of Grassland Canopy Height and Aboveground Biomass at the Quadrat scale Using Unmanned Aerial Vehicle
Estimation of Intrinsic Volumes from Digital Grey-scale Images
Estimation of Location Uncertainty for scale Invariant Features Points
Estimation Of Physical Parameters Of A Multilayered Multi-scale Vegetated Surface
Estimation of Solar Energy on Vertical 3D Building Walls on City Quarter scale
Estimation of Terrestrial Water Storage Changes at Small Basin scales Based on Multi-Source Data
Estimation of Translation, Rotation and Large scale Scaling Based on Multiple Scaling Assumptions
Estimation of Variance and Spatial Correlation Width for Fine-scale Measurement Error in Digital Elevation Model
Estimation of Water Level Changes of Large-scale Amazon Wetlands Using ALOS2 ScanSAR Differential Interferometry
ETH-Xgaze: A Large scale Dataset for Gaze Estimation Under Extreme Head Pose and Gaze Variation
Euclidean Gray-scale Granulometries: Representation and Umbra Inducement
European-scale Investigation of Soil Erosion Threat to Subsurface Archaeological Remains, A
EVA: Exploring the Limits of Masked Visual Representation Learning at scale
Evaluating and Quantifying the Climate-Driven Interannual Variability in Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) at Global scales
Evaluating colour morphological scale-spaces
Evaluating dynamic-adjustment of stereo view parameters in a multi-scale virtual environment
Evaluating knowledge transfer and zero-shot learning in a large-scale setting
Evaluating Multi-scale Over-segment and Its Contribution to Real Scene Stereo Matching by High-Order MRFs
Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional scale in the North China Plain
Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple scales: A Comparison with DMSP-OLS Data
Evaluating the Ability to Use Contextual Features Derived from Multi-scale Satellite Imagery to Map Spatial Patterns of Urban Attributes and Population Distributions
Evaluating the Drought-Monitoring Utility of Four Satellite-Based Quantitative Precipitation Estimation Products at Global scale
Evaluating the Effectiveness of Machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-scale Region
Evaluating the measurement scales of semantic features for remote sensing images retrieval
Evaluating Unmanned Aerial Platforms For Cultural Heritage Large scale Mapping
Evaluation and Aggregation Properties of Thermal Infra-Red-Based Evapotranspiration Algorithms from 100 m to the km scale over a Semi-Arid Irrigated Agricultural Area
Evaluation and Analysis of AMSR2 and FY3B Soil Moisture Products by an In Situ Network in Cropland on Pixel scale in the Northeast of China
Evaluation and Comparison of Random Forest and A-LSTM Networks for Large-scale Winter Wheat Identification
Evaluation and Global-scale Observation of Nitrous Oxide from IASI on Metop-A
Evaluation and scale Forecast of Underground Space Resources of Historical and Cultural Cities in China
Evaluation of a scale-Space Filter for Speckle Noise-Reduction in Electronic Speckle Pattern Interferometry
evaluation of area morphology scale-spaces for colour images, An
Evaluation of Digital Elevation Models for Geomorphometric Analyses On Different scales for Northern Chile
Evaluation of Error in IMERG Precipitation Estimates under Different Topographic Conditions and Temporal scales over Mexico
Evaluation of GIST descriptors for web-scale image search
Evaluation of Global Descriptors for Large scale Image Retrieval
Evaluation of GPM IMERG Performance Using Gauge Data over Indonesian Maritime Continent at Different Time scales
Evaluation of Image Forgery Detection Using Multi-scale Weber Local Descriptors
Evaluation of Large scale Scene Reconstruction
Evaluation of Lossless Compression Methods for Gray scale Document Images
Evaluation of Multi-scale Multiple Instance Learning to Improve Thyroid Cancer Classification
Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global scale
Evaluation of Pseudonym Changes for Vehicular Networks in Large-scale, Realistic Traffic Scenarios, An
Evaluation of Remote Sensing-Based Irrigation Water Accounting at River Basin District Management scale
Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-scale Machine Learning Classification
Evaluation of scale and Noise Sensitivity of Fibre Orientation Estimation in Volume Images, An
Evaluation of Sentinel-2 Based Chlorophyll-a Estimation in a Small-scale Reservoir: Assessing Accuracy and Availability
Evaluation of Stochastic Models for Analysis and Synthesis of Gray scale Texture, An
Evaluation of the Accessibility of Children's Spaces at the Community scale: The Case Study of Hangzhou
Evaluation of the Accuracy of the Field Quadrat Survey of Alpine Grassland Fractional Vegetation Cover Based on the Satellite Remote Sensing Pixel scale
Evaluation of the Continuous Monitoring of Land Disturbance Algorithm for Large-scale Mangrove Classification
Evaluation of the Multi-scale Ultra-High Resolution (MUR) Analysis of Lake Surface Temperature
Evaluation of the Sensitivity of SMOS L-VOD to Forest Above-Ground Biomass at Global scale
Evaluation Of Wavelet And Non-local Mean Denoising Of Terrestrial Laser Scanning Data For Small-scale Joint Roughness Estimation
Evaluations of Remote Sensing-Based Global Evapotranspiration Datasets at Catchment scale in Mountain Regions
Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance
Evapotranspiration Partitioning at Field scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China
Event detection: Ultra large-scale clustering of facial expressions
Evidence of Mid- and Low-Latitude Nighttime Ionospheric E-F Coupling: Coordinated Observations of Sporadic E Layers, F-Region Field-Aligned Irregularities, and Medium-scale Traveling Ionospheric Disturbances
Evolution modeling with multi-scale smoothing for action recognition
Evolution of the Critical Points in the Curvature and Affine Morphological scale Spaces
Evolution towards optimal driving strategies for large-scale autonomous vehicles
Evolutionary Multiobjective Route Grouping-Based Heuristic Algorithm for Large-scale Capacitated Vehicle Routing Problems, An
Examining the Role of scale in the Context of the Non-Local-Means Filter
Exchnet: A Unified Hashing Network for Large-scale Fine-grained Image Retrieval
exclusive-disjunction-based detection of neovascularisation using multi-scale CNN, An
Expediting Large-scale Vision Transformer for Dense Prediction Without Fine-Tuning
Experiences from Large-scale Forest Mapping of Sweden Using TanDEM-X Data
Experimental Performance Study of a User Intensive and Large-scale Digital Library Framework
Experimental Realization of Urban Large-scale True Orthoimage Generation
Explainable scale distillation for hyperspectral image classification
Exploit All the Layers: Fast and Accurate CNN Object Detector with scale Dependent Pooling and Cascaded Rejection Classifiers
Exploiting 2D Floorplan for Building-scale Panorama RGBD Alignment
Exploiting appearance transfer and multi-scale context for efficient person image generation
Exploiting Information Theory for Filtering the Kadir scale-Saliency Detector
Exploiting local and global scene constraints in modeling large-scale dynamic 3D scenes from aerial video
Exploiting local dependencies with spatial-scale space (S-Cube) for near-duplicate retrieval
Exploiting Mid-Level Semantics for Large-scale Complex Video Classification
Exploiting Multi-scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution
Exploiting multi-scale spatial structures for sparsity based single image super-resolution
Exploiting street-level panoramic images for large-scale automated surveying of traffic signs
Exploiting Visual Saliency Algorithms for Object-Based Attention: A New Color and scale-Based Approach
Exploration of Semantic Geo-Object Recognition Based on the scale Parameter Optimization Method for Remote Sensing Images
Exploratory Method for Spatio-Temporal Feature Extraction and Clustering: An Integrated Multi-scale Framework
Exploring and exploiting the structure of saddle points in Gaussian scale space
Exploring App-Based Taxi Movement Patterns from Large-scale Geolocation Data
Exploring Applications of Storm-scale Probabilistic Warn-on-Forecast Guidance in Weather Forecasting
Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network
Exploring Hierarchical Graph Representation for Large-scale Zero-Shot Image Classification
Exploring large scale data for multimedia QA: an initial study
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition
Exploring Multi-scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach
Exploring Scene Geometry for scale Adaptive Object Tracking in Surveillance Videos
Exploring Spatial scale, Autocorrelation and Nonstationarity of Bird Species Richness Patterns
Exploring Structural Sparsity of Deep Networks Via Inverse scale Spaces
Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges
Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges
Exploring the Application of Large-scale Pre-Trained Models on Adverse Weather Removal
Exploring the Effects of Topography on Leaf Area Index Retrieved from Remote Sensing Data at Various Spatial scales over Rugged Terrains
Exploring the Impacts of Data Source, Model Types and Spatial scales on the Soil Organic Carbon Prediction: A Case Study in the Red Soil Hilly Region of Southern China
Exploring the Influences of Point-of-Interest on Traffic Crashes during Weekdays and Weekends via Multi-scale Geographically Weighted Regression
Exploring the Spatiotemporal Characteristics of COVID-19 Infections among Healthcare Workers: A Multi-scale Perspective
Exploring Tradeoffs in Accuracy, Energy and Latency of scale Invariant Feature Transform in Wireless Camera Networks
Extended Class of scale-Invariant and Recursive Scale Space Filters, An
Extended Class of scale-Invariant and Recursive Scale Space Filters, An
Extended Feature Pyramid Network with Adaptive scale Training Strategy and Anchors for Object Detection in Aerial Images
Extended scale invariant local binary pattern for background subtraction
Extending a Mobile Device with Low-Cost 3D Modeling and Building-scale Mapping Capabilities, for Application in Architecture and Archaeology
Extending the Global Space-Based Inter-Calibration System (GSICS) to Tie Satellite Radiances to an Absolute scale
Extensible Framework for Interactive Real-time Visualizations of Large-scale Heterogeneous Multimedia Information from Online Sources, An
Extension of the ICP Algorithm Considering scale Factor, An
Extensions of scale-Space Filtering to Machine Sensing Systems
Extensive Evaluation of a Continental-scale High-Resolution Hydrological Model Using Remote Sensing and Ground-Based Observations
Extensive Field-scale Dataset of Topsoil Organic Carbon Content Aimed to Assess Remote Sensed Datasets and Data-Derived Products from Modeling Approaches, An
External forces for active contours via multi-scale vector field convolution
Extracting 3D Shape Features in Discrete scale-Space
Extracting Affine Deformations from Image Patches - I: Finding scale and Rotation
Extracting Dominant Textures in Real Time With Multi-scale Hue-Saturation-Intensity Histograms
Extracting Human Activity Areas from Large-scale Spatial Data with Varying Densities
Extracting Natural scales Using Fourier Descriptors
Extracting scale and Illuminant Invariant Regions through Color
Extracting Shrubland in Deserts from Medium-Resolution Remote-Sensing Data at Large scale
Extraction of 3D Transform and scale Invariant Patches from Range Scans
Extraction of Agricultural Fields via DASFNet with Dual Attention Mechanism and Multi-scale Feature Fusion in South Xinjiang, China
Extraction of Cardiac Motion Using scale-Space Features Points and Gauged Reconstruction
Extraction of Extended Small-scale Objects in Digital Images
Extraction of Salient Features for Image Retrieval Using Multi-scale Image Relevance Function
Extraction of Scattered Small-scale Landslides Distribution By Object-based Classification Using Optical High-resolution Satellite Images
Extraction of Structure Feature from Three-Dimensional Object by scale-Space Analysis
Extraction of the Zero-Crossings of the Curvature Derivative in Volumetric 3D Medical Images: A Multi-scale Approach
Extraction of Winter Wheat Planting Area Based on Multi-scale Fusion
Eye Activity Detection and Recognition Using Morphological scale-space Decomposition
Eye detection in a facial image under pose variation based on multi-scale iris shape feature
Eye-MMS: Miniature Multi-scale Segmentation Network of Key Eye-Regions in Embedded Applications
Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients
Fabric defect detection using saliency of multi-scale local steering kernel
Fabric Material Recovery from Video Using Multi-scale Geometric Auto-Encoder
Face anti-spoofing detection based on multi-scale image quality assessment
Face Anti-Spoofing with Multi-scale Information
Face cataloger: multi-scale imaging for relating identity to location
Face detection in gray scale images using locally linear embeddings
Face Detection With Different scales Based on Faster R-CNN
Face Identification Using a 3D Gray-scale Image: A Method for Lessening Restrictions on Facial Directions
Face illumination normalization on large and small scale features
Face Liveness Detection Based on Perceptual Image Quality Assessment Features with Multi-scale Analysis
Face morph detection for unknown morphing algorithms and image sources: a multi-scale block local binary pattern fusion approach
Face photo-sketch synthesis via full-scale identity supervision
Face presentation attack detection across spectrum using time-frequency descriptors of maximal response in Laplacian scale-space
Face Recognition Based on Efficient Facial scale Estimation
Face recognition based on the multi-scale local image structures
Face Recognition by Cortical Multi-scale Line and Edge Representations
Face Recognition by Exploring Information Jointly in Space, scale and Orientation
Face recognition for web-scale datasets
Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric learning
Face Recognition System Using Accurate and Rapid Estimation of Facial Position and scale
Face recognition using multi-scale local phase quantisation and Linear Regression Classifier
Face recognition using scale-adaptive directional and textural features
Face Retrieval in Large-scale News Video Datasets
Face Retrieval on Large-scale Video Data
Face Search at scale
Face sketch-photo synthesis and recognition: Dual-scale Markov Network and multi-information fusion
FaceScape: A Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
Facet Segmentation-Based Line Segment Extraction for Large-scale Point Clouds
Facial Expression Recognition by Multi-scale CNN with Regularized Center Loss
Factorized Binary Codes for Large-scale Nearest Neighbor Search
Fake News in India: scale, Diversity, Solution, and Opportunities
FakePoI: A Large-scale Fake Person of Interest Video Detection Benchmark and a Strong Baseline
FAMED-Net: A Fast and Accurate Multi-scale End-to-End Dehazing Network
Families of Generalised Morphological scale Spaces
Families of Tuned scale-Space Kernels
Farmland Extraction from High Spatial Resolution Remote Sensing Images Based on Stratified scale Pre-Estimation
Fast Accurate Fish Recognition with Deep Learning Based on a Domain-Specific Large-scale Fish Dataset
Fast Action Localization in Large-scale Video Archives
Fast aircraft detection based on region locating network in large-scale remote sensing images
Fast algorithm for large-scale subspace clustering by LRR
Fast Algorithm for Learning a Ranking Function from Large-scale Data Sets, A
Fast Algorithm for Point Pattern-Matching: Invariant to Translations, Rotations and scale Changes
Fast algorithms for large scale conditional 3D prediction
Fast and Accurate Large-scale Stereo Reconstruction Using Variational Methods
Fast and accurate scale estimation method for object tracking
Fast and automatic city-scale environment modelling using hard and/or weak constrained bundle adjustments
Fast and Direct Polygonization for Gray-scale Images Using Digital Straightness and Exponential Averaging
Fast and Lightweight Detection Network for Multi-scale SAR Ship Detection under Complex Backgrounds, A
Fast and Lightweight Online Person Search for Large-scale Surveillance Systems
fast and mobile system for registration of low-altitude visual and thermal aerial images using multiple small-scale UAVs, A
Fast and robust symmetry detection for brain images based on parallel scale-invariant feature transform matching and voting
Fast automatic segmentation of cells and nucleuses in large-scale liquid-based monolayer smear images
Fast Boosting Based Detection Using scale Invariant Multimodal Multiresolution Filtered Features
fast computation method for time scale signal denoising, A
Fast Computation of scale Normalised Gaussian Receptive Fields
Fast Computation with Efficient Object Data Distribution for Large-scale Hologram Generation on a Multi-GPU Cluster
Fast Correlation Method for scale- and Translation-Invariant Pattern Recognition, A
Fast Discrete Matrix Factorization Hashing for Large-scale Cross-modal Retrieval
Fast Explicit Diffusion for Accelerated Features in Nonlinear scale Spaces
Fast face sequence matching in large-scale video databases
Fast Features Invariant to Rotation and scale of Texture
Fast Implementation of scale-Space by Interpolatory Subdivision Scheme
Fast iterative tomographic wavefront estimation with recursive Toeplitz reconstructor structure for large-scale systems
Fast large scale deep face search
Fast large-scale image enlargement method with a novel evaluation approach: benchmark function-based peak signal-to-noise ratio
Fast Large-scale Spectral Clustering via Explicit Feature Mapping
Fast Light-field Disparity Estimation with Multi-disparity-scale Cost Aggregation
Fast Local scale Control Based Blur Edge Detection
Fast Local Spatial Verification for Feature-Agnostic Large-scale Image Retrieval
Fast Localization in Large-scale Environments Using Supervised Indexing of Binary Features
Fast low-level multi-scale feature extraction for hexagonal images
Fast Morphological Dilation and Erosion for Grey scale Images Using the Fourier Transform
Fast motion estimation and motion segmentation using multi-scale approach
fast multi-scale covariance descriptor for object re-identification, A
fast multi-scale edge detection algorithm, A
Fast multi-scale local phase quantization histogram for face recognition
Fast Multi-scale Structural Patch Decomposition for Multi-Exposure Image Fusion
Fast Multi-scale Template Matching Using Binary Features
Fast Nonrigid Image Registration With Constraints on the Jacobian Using Large scale Constrained Optimization, A
Fast object localization using multi-scale image relevance function
Fast pattern recognition using normalized grey-scale correlation in a pyramid image representation
Fast Pedestrian Detection With Attention-Enhanced Multi-scale RPN and Soft-Cascaded Decision Trees
Fast pedestrian detection with multi-scale orientation features and two-stage classifiers
Fast Phase Unwrapping Method for Large-scale Interferograms, A
Fast random k-labELsets for large-scale multi-label classification
Fast robust large-scale mapping from video and internet photo collections
Fast scale invariant feature detection and matching on programmable graphics hardware
Fast scale space image decomposition
Fast scale-Adaptive Bilateral Texture Smoothing
Fast scale-Space Feature Representations by Generalized Integral Images
Fast Semantic Diffusion for Large-scale Context-Based Image and Video Annotation
Fast spectral clustering learning with hierarchical bipartite graph for large-scale data
Fast Support Vector Classification for Large-scale Problems
Fast support-based clustering method for large-scale problems
Fast Unsupervised Multi-scale Characterization of Urban Landscapes Based on Earth Observation Data
Fast visual saliency based on multi-scale difference of Gaussians fusion in frequency domain
Fast, Accurate, Small-scale 3D Scene Capture Using a Low-Cost Depth Sensor
Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
FAST: Fast and Accurate scale Estimation for Tracking
FastMask: Segment Multi-scale Object Candidates in One Shot
feasibility study on the measurement of tree trunks in forests using multi-scale vertical images, A
Feature Detection with Automatic scale Selection
Feature extraction and analysis of handwritten words in grey-scale images using Gabor filters
Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-scale Local Climate Zone Classification
Feature Extraction of Edge by Directional Computation of Gray-scale Variation
Feature extraction on 3-D TexMesh using scale-space analysis and perceptual evaluation
Feature Orientation And Positional Accuracy Assessment of Digital Orthophoto And Line Map for Large scale Mapping: the Case Study On Bahir Dar Town, Ethiopia
Feature point extraction using scale-space representation
Feature Pyramid Hierarchies for Multi-scale Temporal Action Detection
Feature recognition using loose gray scale template matching
Feature refinement for image-based driver action recognition via multi-scale attention convolutional neural network
Feature Tracking with Automatic Selection of Spatial scales
Feature-Based Approach to Large-scale Freeway Congestion Detection Using Full Cellular Activity Data, A
Feature-Based Mapping in Real Large scale Environments Using an Ultrasonic Array
Feature-Based SLAM Algorithm for Small scale UAV with Nadir View
Feature-Extraction from All-scale Neighborhoods with Applications To Semantic Segmentation of Point Clouds
Features in scale-space: progress on the 2D 2nd order jet
Features of Winter Stratosphere Small-scale Disturbance during Sudden Stratospheric Warmings
Feedback Multi-scale Residual Dense Network for image super-resolution
FEPVNet: A Network with Adaptive Strategies for Cross-scale Mapping of Photovoltaic Panels from Multi-Source Images
FERV39k: A Large-scale Multi-Scene Dataset for Facial Expression Recognition in Videos
FESID: Finite Element scale Invariant Detector
Few-Shot Aircraft Detection in Satellite Videos Based on Feature scale Selection Pyramid and Proposal Contrastive Learning
FFT-Based Technique for Translation, Rotation, and scale-Invariant Image Registration, An
FFTLasso: Large-scale LASSO in the Fourier Domain
Field scale Assessment of the TsHARP Technique for Thermal Sharpening of MODIS Satellite Images Using VENµS and Sentinel-2-Derived NDVI
Field-based classification of agricultural crops using multi-scale images
Field-scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing
Field-scale Characterization of Spatio-Temporal Variability of Soil Salinity in Three Dimensions
Field-scale Crop Seeding Date Estimation from MODIS Data and Growing Degree Days in Manitoba, Canada
Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning
Field-scale Rice Yield Estimation Using Sentinel-1A Synthetic Aperture Radar (SAR) Data in Coastal Saline Region of Jiangsu Province, China
Figure Field Analysis of Linear scale-Space Image
filter design technique for improving the directional selectivity of the first scale of the Dual-Tree complex wavelet transform, A
Filter To Remove Gaussian Noise by Clustering the Gray scale, A
Filtering Method for LiDAR Point Cloud Based on Multi-scale CNN with Attention Mechanism, A
Filters in scale Space
Finding Faces in Gray scale Images Using Locally Linear Embeddings
Finding People Using scale, Rotation and Articulation Invariant Matching
Fine scale image registration in large-scale urban LIDAR point sets
Fine scale image registration in large-scale urban LIDAR point sets
Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval
Fine-grained image inpainting with scale-enhanced generative adversarial network
Fine-Grained Land Use Classification at the City scale Using Ground-Level Images
Fine-Grained Large-scale Vulnerable Communities Mapping via Satellite Imagery and Population Census Using Deep Learning
Fine-Grained Ship-Radiated Noise Recognition System Using Deep Hybrid Neural Networks with Multi-scale Features, A
Fine-Level Semantic Labeling of Large-scale 3D Model by Active Learning
Fine-scale (10 m) Dynamics of Smallholder Farming through COVID-19 in Eastern Thailand
Fine-scale Analysis of the Long-Term Urban Thermal Environment in Shanghai Using Google Earth Engine
Fine-scale characterization of irrigated and rainfed croplands at national scale using multi-source data, random forest, and deep learning algorithms
Fine-scale characterization of irrigated and rainfed croplands at national scale using multi-source data, random forest, and deep learning algorithms
Fine-scale Coastal Storm Surge Disaster Vulnerability and Risk Assessment Model: A Case Study of Laizhou Bay, China
Fine-scale Dasymetric Population Mapping with Mobile Phone and Building Use Data Based on Grid Voronoi Method
Fine-scale Face Fitting and Texture Fusion With Inverse Renderer
Fine-scale Improved Carbon Bookkeeping Model Using Landsat Time Series for Subtropical Forest, Southern China
Fine-scale Mangrove Map of China Derived from 2-Meter Resolution Satellite Observations and Field Data, A
Fine-scale Mapping of Natural Ecological Communities Using Machine Learning Approaches
Fine-scale Mapping of Soil Organic Matter in Agricultural Soils Using UAVs and Machine Learning
Fine-scale Monitoring of Complex Environments Using Remotely Sensed Aerial, Satellite, and Other Spatial Data
Fine-scale Motion Detection Using Intrinsic List Mode PET Information
Fine-scale SAR Soil Moisture Estimation in the Subarctic Tundra
Fine-scale Sea Ice Segmentation for High-Resolution Satellite Imagery with Weakly-Supervised CNNs
Fine-scale Sea Ice Structure Characterized Using Underwater Acoustic Methods
Fine-scale Surface Normal Estimation Using a Single NIR Image
Fine-scale Urban Heat Patterns in New York City Measured by ASTER Satellite: The Role of Complex Spatial Structures
Fine-tuning JPEG-XT compression performance using large-scale objective quality testing
Fingerprint Enhancement by Shape Adaptation of scale-Space Operators with Automatic Scale Selection
Fingerprint Enhancement by Shape Adaptation of scale-Space Operators with Automatic Scale Selection
Fingerprint enhancement using multi-scale classification dictionaries with reduced dimensionality
Fingerprint enhancement with dyadic scale-space
Fingerprint ridge allocation in direct gray-scale domain
Fingerprint Singular Point Detection Based on Multiple-scale Orientation Entropy
Finite Aperture Stereo: 3D Reconstruction of Macro-scale Scenes
Finite Sample Bias of Robust scale Estimators in Computer Vision Problems
First Order Tensor Voting and Application to 3-D scale Analysis
Fish-scales: Representing Fuzzy Manifolds
FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction
FLATSIM: The ForM@Ter LArge-scale Multi-Temporal Sentinel-1 InterferoMetry Service
Flickr1024: A Large-scale Dataset for Stereo Image Super-Resolution
Flood Analysis Using Multi-scale Remote Sensing Observations in Laos
Flood Detection in Dual-Polarization SAR Images Based on Multi-scale Deeplab Model
Flood Inundation Mapping of the Sparsely Gauged Large-scale Brahmaputra Basin Using Remote Sensing Products
FloorPlanCAD: A Large-scale CAD Drawing Dataset for Panoptic Symbol Spotting
Flower Image Classification Based on Multi-scale Dense Residual Network
Fluid Registration of Ultrasound using Multi-scale Phase Estimates
Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering
Flying Laser Range Sensor for Large-scale Site-Modeling and Its Applications in Bayon Digital Archival Project
Flying Laser Range Sensor: A Novel Aerial Sensing System for Large-scale Heritage
FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery
Folkioneer: Efficient Browsing of Community Geotagged Images on a Worldwide scale
Following Corners on Curves and Surfaces in the scale Space
Following Feature Lines Across scale
Font retrieval on a large scale: An experimental study
Forcing scale Invariance in Multipolarization SAR Change Detection
Fore-Net: Efficient inlier estimation network for large-scale indoor scenario
Forecast Characteristics of Radar Data Assimilation Based on the scales of Precipitation Systems
Forest Canopy Heights in the Pacific Northwest Based on InSAR Phase Discontinuities across Short Spatial scales
Forest Land Cover Mapping at a Regional scale Using Multi-Temporal Sentinel-2 Imagery and RF Models
Forward Compatible Training for Large-scale Embedding Retrieval Systems
Foundations of Large-scale Multimedia Information Management and Retrieval
Foveated Multiscale Models for Large-Scale Estimation
FPB: Improving Multi-scale Feature Representation Inside Convolutional Layer Via Feature Pyramid Block
FPGA-based bio-inspired architecture for multi-scale attentional vision
FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation
Fractal Map: Fractal-Based 2D Expansion Method for Multi-scale High-Dimensional Data Visualization
Fractal Perspective on scale in Geography, A
Fractional evergreen forest cover mapping by MODIS time-series FEVC-CV methods at sub-pixel scales
Fractional-order generalized Laguerre moments and moment invariants for grey-scale image analysis
Fractional-Order Variational Framework for Retinex: Fractional-Order Partial Differential Equation-Based Formulation for Multi-scale Nonlocal Contrast Enhancement with Texture Preserving, A
Fragment Based Tracking for scale and Orientation Adaptation
Framework for Adaptive scale Space Tracking Solutions to Problems in Computational Vision, A
Framework for Classifier Adaptation for Large-scale Multimedia Data, A
framework for constrained multi-scale range image segmentation, A
framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks, A
Framework for Multi-scale and Hybrid RKHS-Based Approximators, A
framework for real-time emissions trading in large-scale vehicle fleets, A
Framework On Multi-scale Landslide Hazard Evaluation In China, The
Free Global DSM Assessment On Large scale Areas Exploiting The Potentialities of the Innovative Google Earth Engine Platform
Free-Form 3-D Object Recognition at Multiple scales
Free-Form Surface Description in Multiple scales: Extension to Incomplete Surfaces
Freehand interaction with large-scale 3D map data
Frequency Map by Structure Tensor in Logarithmic scale Space and Forensic Fingerprints
From categories to subcategories: Large-scale image classification with partial class label refinement
From Coarse to Fine: Robust Hierarchical Localization at Large scale
From Global to Local: Multi-Patch and Multi-scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection
From Global to Local: Multi-scale Out-of-Distribution Detection
From Large scale Image Categorization to Entry-Level Categories
From Large-scale DTM Extraction to Feature Extraction
From local to global: A transfer learning-based approach for mapping poplar plantations at national scale using Sentinel-2
From Motion Activity to Geo-Embeddings: Generating and Exploring Vector Representations of Locations, Traces and Visitors through Large-scale Mobility Data
From Pairwise Comparisons and Rating to a Unified Quality scale
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
From Text to Video: Exploiting Mid-Level Semantics for Large-scale Video Classification
Front-End Vision and Multi-scale Image Analysis: Multi-scale Computer Vision Theory and Applications, Written in Mathematica
Front-End Vision and Multi-scale Image Analysis: Multi-scale Computer Vision Theory and Applications, Written in Mathematica
FRVT 2006 and ICE 2006 Large-scale Experimental Results
FS-Net: LiDAR-Camera Fusion with Matched scale for 3D Object Detection in Autonomous Driving
FSoD-Net: Full-scale Object Detection From Optical Remote Sensing Imagery
FSSDD: Few-shot steel defect detection based on multi-scale semantic enhancement representation and mask category information mapping
Full Affine Wavelets Are scale-Space with a Twist
Full blind denoising through noise covariance estimation using gaussian scale mixtures in the wavelet domain
Full Convolutional Neural Network Based on Multi-scale Feature Fusion for the Class Imbalance Remote Sensing Image Classification
Full scale 3D Pre-Surgery Planning System for Internal Fixation Operative of Calcaneal Collapse with Multimedia Operation Environment
Full scale Regression-Based Injection Coefficients for Panchromatic Sharpening
Full-scale Assessment of Pansharpening Through Polynomial Fitting of Multiscale Measurements
Full-scale attention network for automated organ segmentation on head and neck CT and MR images
Full-scale Connected CNN-Transformer Network for Remote Sensing Image Change Detection, A
full-scale hierarchical encoder-decoder network with cascading edge-prior for infrared and visible image fusion, A
Full-scale Highway Bridge Deformation Tracking via Photogrammetry and Remote Sensing
Full-scale Selective Transformer for Semantic Segmentation
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 Convolutional Cross-scale-Flows for Image-based Defect Detection
Fully convolutional multi-scale dense networks for monocular depth estimation
Fully-Convolutional Point Networks for Large-scale Point Clouds
Fused intra-bimodal face verification approach based on scale-Invariant Feature Transform and a vocabulary tree
Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-scale Land Surface Phenology
Fusing Local Image Descriptors for Large-scale Image Retrieval
Fusion Feature Multi-scale Pooling for Water Body Extraction from Optical Panchromatic Images
Fusion of differential morphological profiles for multi-scale weighted feature pyramid generation in remotely sensed imagery
Fusion of GF and MODIS Data for Regional-scale Grassland Community Classification with EVI2 Time-Series and Phenological Features
Fusion of GNSS and Satellite Radar Interferometry: Determination of 3D Fine-scale Map of Present-Day Surface Displacements in Italy as Expressions of Geodynamic Processes
Fusion of Handcrafted and Deep Learning Features for Large-scale Multiple Iris Presentation Attack Detection
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 Large scale Classified Side-Scan Sonar Image Mosaics, The
Fusion of Multi-View and Multi-scale Aerial Imagery for Real-Time Situation Awareness Applications
Fusion of Satellite Land Surface Albedo Products Across scales Using a Multiresolution Tree Method in the North Central United States
Fusion of Spectral and Structural Datasets Derived from an Airborne Multispectral Sensor for Estimation of Pasture Dry Matter Yield at Paddock scale with Time, The
Fuzzy homogeneity and scale-space approach to color image segmentation
Fuzzy Image Classification for Continental-scale Multitemporal NDVI Series Images Using Invariant Pixels and an Image Stratification Method
Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision
Fuzzy Relational Distance for Large-scale Object Recognition
FW-GAN: Underwater image enhancement using generative adversarial network with multi-scale fusion
G-Quadtree: A Hierarchical Representation of Gray-scale Digital Images
Gabor-based multi-scale Illumination Normalization model for face recognition
Gaining scale Invariance in UAV Bird's Eye View Object Detection by Adaptive Resizing
Gait Analysis of Gender and Age Using a Large-scale Multi-view Gait Database
Gait Recognition Using Fractal scale and Wavelet Moments
Gait Recognition using Multi-scale Partial Representation Transformation with Capsules
GAMNet: Global attention via multi-scale context for depth estimation algorithm and application
GAMSNet: Globally aware road detection network with multi-scale residual learning
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection
Gated CNN: Integrating multi-scale feature layers for object detection
Gated Multi-scale Transformer for Temporal Action Localization
Gaussian scale Space from Insufficient Image Information
Gaussian scale-space dense disparity estimation with anisotropic disparity-field diffusion
Gaussian scale-Space Paradigm and the Multiscale Local Jet, The
Gaussian scale-Space Theory
Gaze Detection Via Self-Organizing Gray-scale Units
GC-MVSNet: Multi-View, Multi-scale, Geometrically-Consistent Multi-View Stereo
gDLS*: Generalized Pose-and-scale Estimation Given Scale and Gravity Priors
gDLS*: Generalized Pose-and-scale Estimation Given Scale and Gravity Priors
gDLS: A Scalable Solution to the Generalized Pose and scale Problem
GE-DDRL: Graph Embedding and Deep Distributional Reinforcement Learning for Reliable Shortest Path: A Universal and scale Free Solution
geeSEBAL-MODIS: Continental-scale evapotranspiration based on the surface energy balance for South America
General Analyzing and Research on Uncertainty of Multi-scale Representation for Street-Block Settlement
General constraints for batch Multiple-Target Tracking applied to large-scale videomicroscopy
General scale interpolation based on fine-grained isophote model with consistency constraint
General Scheme of Region Competition Based on scale Space
General-purpose object recognition in 3D volume data sets using gray-scale invariants: Classification of airborne pollen-grains recorded with a confocal laser scanning microscope
Generalised scale-space Properties for Probabilistic Diffusion Models
Generalization of 3D building data based on a scale-space approach
Generalization of Soundings across scales: From DTM to Harbour and Approach Nautical Charts
Generalized Discrete scale-Space Formulation for 2-D and 3-D Signals, A
Generalized Gaussian scale mixtures: A model for wavelet coefficients of natural images
Generalized Gaussian scale-Space Axiomatics Comprising Linear Scale-Space, Affine Scale-Space and Spatio-Temporal Scale-Space
Generalized Gaussian scale-Space Axiomatics Comprising Linear Scale-Space, Affine Scale-Space and Spatio-Temporal Scale-Space
Generalized Gaussian scale-Space Axiomatics Comprising Linear Scale-Space, Affine Scale-Space and Spatio-Temporal Scale-Space
Generalized Gaussian scale-Space Axiomatics Comprising Linear Scale-Space, Affine Scale-Space and Spatio-Temporal Scale-Space
Generalized optical flow in the scale space
Generalized Pose-and-scale Estimation using 4-Point Congruence Constraints
Generalized Probabilistic scale Space for Image Restoration
generalized relative pose and scale problem: View-graph fusion via 2D-2D registration, The
Generalized Residual Vector Quantization and Aggregating Tree for Large scale Search
Generalized scale-selection
Generalized scale: Theory, algorithms, and application to image inhomogeneity correction
Generalized Separable Kernel Family with Compact Support, to Improve Visual Data Quality of Gray Level Images, in scale Space, A
Generalized Subgraph Preconditioners for Large-scale Bundle Adjustment
Generalized Wiener Reconstruction of Images from Colour Sensor Data Using a scale Invariant Prior
Generating (co)homological information using boundary scale
Generating and Updating Textures for a Large-scale Environment
Generating Continental scale Pixel-Based Surface Reflectance Composites in Coastal Regions with the Use of a Multi-Resolution Tidal Model
Generating Dance Videos Using Pose Transfer Generative Adversarial Network With Multiple scale Region Extractor and Learnable Region Normalization
Generating Descriptive Visual Words and Visual Phrases for Large-scale Image Applications
Generating High-Quality and High-Resolution Seamless Satellite Imagery for Large-scale Urban Regions
Generating spatiotemporally consistent fractional vegetation cover at different scales using spatiotemporal fusion and multiresolution tree methods
Generating Stable Structure Using scale-Space Analysis with Non-Uniform Gaussian Kernels
Generation of a Large-scale Surface Sediment Classification Map Using Unmanned Aerial Vehicle (UAV) Data: A Case Study at the Hwang-do Tidal Flat, Korea
Generation of a Seamless Earth Radiation Budget Climate Data Record: A New Methodology for Placing Overlapping Satellite Instruments on the Same Radiometric scale
Generation of Large-scale Moderate-Resolution Forest Height Mosaic With Spaceborne Repeat-Pass SAR Interferometry and Lidar
Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs Using Multi-scale and Conditional Adversarial Network
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 Pixel-scale Lunar DEM Generation from High-Resolution Monocular Imagery and Low-Resolution DEM, A
Generic Events for the Gradient Squared with Application to Multi-scale Segmentation
Generic Maximum Likely scale Selection
Generic multi-scale segmentation and curve approximation method
Generic scale-space process for handwriting documents analysis
Generic spatial-color metric for scale-space processing of catadioptric images
Genetic algorithm for thinning gray-scale images of characters
Geo-CropSim: A Geo-spatial crop simulation modeling framework for regional scale crop yield and water use assessment
Geo-Spatial Analysis of Population Density and Annual Income to Identify Large-scale Socio-Demographic Disparities
GeoAI for Large-scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography
GEOBIA at the Terapixel scale: Toward Efficient Mapping of Small Woody Features from Heterogeneous VHR Scenes
Geodesic registration for interactive atlas-based segmentation using learned multi-scale anatomical manifolds
geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection, A
Geographic Object-Based Image Analysis Framework for Mapping Vegetation Physiognomic Types at Fine scales in Neotropical Savannas
Geometric and Photometric Merging for Large-scale Objects
Geometric Latent Dirichlet Allocation on a Matching Graph for Large-scale Image Datasets
Geometric Model of Multi-scale Orientation Preference Maps via Gabor Functions, A
Geometric moments in scale-spaces
geometrically resilient robust image watermarking scheme using deformable multi-scale transform, A
Geometry and Texture Recovery of Scenes of Large scale
Geometry Guided Multi-scale Depth Map Fusion via Graph Optimization
Geometry-Constrained scale Estimation for Monocular Visual Odometry
Georeferencing Multi-Temporal and Multi-scale Imagery in Photogrammetry
Geospatial Model for Large scale Sea Cliff Rockfall Susceptibility Mapping
Geospatial Object Detection in High Resolution Satellite Images Based on Multi-scale Convolutional Neural Network
Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-scale Feature Pyramid Network
Geospatial Platform to Manage Large-scale Individual Mobility for an Urban Digital Twin Platform, A
GeoViewMatch: A Multi-scale Feature-Matching Network for Cross-View Geo-Localization Using Swin-Transformer and Contrastive Learning
Gesture recognition algorithm based on multi-scale feature fusion in RGB-D images
Gesture Spotting in Low-Quality Video with Features Based on Curvature scale Space
Get better 1 pixel PCK: ladder scales correspondence flow networks for remote sensing image matching in higher resolution
GET: The Connection Between Monogenic scale-Space and Gaussian Derivatives
Getting Real: The Challenge of Building and Validating a Large-scale Digital Twin of Barcelona's Traffic with Empirical Data
GGM classifier with multi-scale line detectors for retinal vessel segmentation
GigaMVS: A Benchmark for Ultra-Large-scale Gigapixel-Level 3D Reconstruction
GiganticNVS: Gigapixel Large-scale Neural Rendering With Implicit Meta-Deformed Manifold
GIS Supported Landslide Susceptibility Modeling at Regional scale: An Expert-Based Fuzzy Weighting Method
GIS-Based Approach to Estimate Electricity Requirements for Small-scale Groundwater Irrigation, A
GIS-Based Cultural Heritage Study Framework on Continuous scales: A Case Study on 19th Century Military Industrial Heritage, A
GIS-based Infectious Disease Data Management on A City scale, Case Study of St. Petersburg, Russia
GIS-Based Water Balance Approach Using a LiDAR-Derived DEM Captures Fine-scale Vegetation Patterns, A
Giving Historical Photographs a New Perspective: Introducing Camera Orientation Parameters as New Metadata in a Large-scale 4D Application
Gland segmentation from histology images using informative morphological scale space
Glitch in the matrix: A large scale benchmark for content driven audio-visual forgery detection and localization
Global Alignment of MR Images Using a scale Based Hierarchical Model
Global localization and relative pose estimation based on scale-invariant features
Global Motion Understanding in Large-scale Video Object Segmentation
Global multi-scale grid integer coding and spatial indexing: A novel approach for big earth observation data
Global Multi-scale Information Fusion for Multi-Class Object Counting in Remote Sensing Images
Global scale Integral Volumes
Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-scale Agricultural Systems, A
Global-Local GCN: Large-scale Label Noise Cleansing for Face Recognition
Global-scale Analysis, Global Land Cover Analysis
Global-scale Associations of Vegetation Phenology with Rainfall and Temperature at a High Spatio-Temporal Resolution
Global-scale Evaluation of Roughness Effects on C-Band AMSR-E Observations
Global-scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method
Global-scale Location Prediction for Social Images Using Geo-Visual Ranking
Global-scale object detection using satellite imagery
Global-scale Patterns and Trends in Tropospheric NO2 Concentrations, 2005-2018
Global-scale Resource Survey and Performance Monitoring of Public OGC Web Map Services
Globally Optimal Multi-scale Monocular Hand-Eye Calibration Using Dual Quaternions
Globally rotation invariant multi-scale co-occurrence local binary pattern
Gmnet: Graph Matching Network for Large scale Part Semantic Segmentation in the Wild
GMRES Algorithm for Large-scale Vectoring in DSL Systems
GMSRF-Net: An Improved generalizability with Global Multi-scale Residual Fusion Network for Polyp Segmentation
Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processes
Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset
Good Practice in Large-scale Learning for Image Classification
Google Book Search: Document Understanding on a Massive scale
Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal Anomalies at Global scale by Means of Mid-High Spatial Resolution Satellite Data, A
Google Landmarks Dataset v2: A Large-scale Benchmark for Instance-Level Recognition and Retrieval
GPU Accelerated Edge-Region Based Level Set Evolution Constrained by 2D Gray-scale Histogram
GPU Accelerated Real Time Rotation, scale and Translation Invariant Image Registration Method
GR2T vs L2E with Nuisance scale
Grad-PU: Arbitrary-scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Gradient Forward-Propagation for Large-scale Temporal Video Modelling
Gradient Structure of Image in scale Space
Gradient Watersheds in Morphological scale-Space
Graduated Filter Method for Large scale Robust Estimation, A
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
Granularity of Digital Elevation Model and Optimal Level of Detail in Small-scale Cartographic Relief Presentation
Graph Clustering, Variational Image Segmentation Methods and Hough Transform scale Detection for Object Measurement in Images
Graph convolutional neural network for multi-scale feature learning
Graph Relational Reinforcement Learning for Mobile Robot Navigation in Large-scale Crowded Environments
Graph signal decomposition for multi-scale detail manipulation
Graph simulation on large scale temporal graphs
Graph Theory Based Large-scale Machine Learning With Multi-Dimensional Constrained Optimization Approaches for Exact Epidemiological Modeling of Pandemic Diseases
Graph-based multi-scale analysis of plates and rods in human trabecular bone
Graph-Based Multi-scale Approach With Knowledge Distillation for WSI Classification, A
Graph-based parallel large scale structure from motion
Graph-based semi-supervised learning with multi-modality propagation for large-scale image datasets
GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation
Graphical Model for Football Story Snippet Synthesis from Large scale Commentary, A
Graphics Hardware Implementation of the Generalized Hough Transform for Fast Object Recognition, scale, and 3D Pose Detection, A
GraspNet-1Billion: A Large-scale Benchmark for General Object Grasping
Gray scale and Rotation Invariant Texture Classification with Local Binary Patterns
Gray scale Correction Method for Side-Scan Sonar Images Based on Retinex, A
Gray scale Processing of Hydrographic Maps
Gray-scale Character Image Recognition Based on Fuzzy DCT Transform Features
Gray-scale Character Recognition by Gabor Jets Projection
Gray-scale granulometries compatible with spatial scalings
Gray-scale Hough Transform for Thick Line Detection in Gray-Scale Images
Gray-scale Hough Transform for Thick Line Detection in Gray-Scale Images
Gray-scale Image Enhancement as an Automatic Process Driven by Evolution
Gray-scale Image Enhancement Using the SMQT
Gray-scale image watermarking using GA-BPN hybrid network
Gray-scale Nonlinear Shape Normalization Method for Handwritten Oriental Character Recognition
Gray-scale skeletonization of small vessels in magnetic resonance angiography
Gray-scale structuring element decomposition
Gray-scale super-resolution for face recognition from low Gray-scale resolution face images
Gray-scale super-resolution for face recognition from low Gray-scale resolution face images
Gray-scale Thinning Algorithm Using Local Min/Max Operations
Gray-scale thinning by using a pseudo-distance map
Grayscale Template-Matching Invariant to Rotation, Scale, Translation, Brightness and Contrast
Greedy Hierarchical Variational Autoencoders for Large-scale Video Prediction
Grey scale image skeletonisation from noise-damped vector potential
grey scale morphological approach for displaced frame difference coding, A
Grey-scale Morphological Operators and Fuzzy Connected Filters
Grey-scale Morphology Based on Fuzzy Logic
Grey-scale Morphology with Spatially-Variant Rectangles in Linear Time
Grey-scale, the Crispening Effect, and Perceptual Linearization
Grid Feature-Point Selection Method for Large-scale Street View Image Retrieval Based on Deep Local Features, A
Grid-scale Poverty Assessment by Integrating High-Resolution Nighttime Light and Spatial Big Data: A Case Study in the Pearl River Delta
Grid-scale Regional Risk Assessment of Potentially Toxic Metals Using Multi-Source Data
GridDehazeNet+: An Enhanced Multi-scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing
GridDehazeNet: Attention-Based Multi-scale Network for Image Dehazing
Ground Deformation Monitoring At Continental scale: The European Ground Motion Service
Ground Surface Visualization Using Red Relief Image Map For A Variety Of Map scales
Ground to Space CALibration Experiment (G-scale): Simultaneous Validation of UAV, Airborne, and Satellite Imagers for Earth Observation Using Specular Targets, The
Ground-Plane-Based Absolute scale Estimation for Monocular Visual Odometry
Group saliency propagation for large scale and quick image co-segmentation
Group Sampling for scale Invariant Face Detection
Grouped Multi-scale Network for Real-World Image Denoising
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training
GSDet: Object Detection in Aerial Images Based on scale Reasoning
GSIP: Green Semantic Segmentation of Large-scale Indoor Point Clouds
GSTO: Gated scale-Transfer Operation for Multi-Scale Feature Learning in Semantic Segmentation
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 Introduction to the Special Issue on Large scale and Nonlinear Similarity Learning for Intelligent Video Analysis
Guest Editorial Introduction to the Special Issue on Large-scale Video Analytics for Enhanced Security: Algorithms and Systems
Guest Editorial Introduction to the Special Issue on Large-scale Visual Sensor Networks: Architectures and Applications
Guest Editorial: Large scale Visual Media Geo-Localization
Guest Editorial: Large-scale Multimedia Data Retrieval, Classification, and Understanding
Guest Editorial: scale Space and Variational Methods
Guest Editorial: scale Space and Variational Methods
Guest Editorial: scale-Space and Variational Methods
Guest Editorial: scale-Space and Variational Methods
Guest Editorial: Special issue on large scale multimedia semantic indexing
Guest Editorial: Special Issue on scale-Space and Morphology
Guided search consensus: Large scale point cloud registration by convex optimization
Guiding Early Visual Processing with a scale-Space Primal Sketch
Gully Erosion Mapping and Monitoring at Multiple scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China
GYMEE: A Global Field-scale Crop Yield and ET Mapper in Google Earth Engine Based on Landsat, Weather, and Soil Data
H-thinning for gray-scale images
HA-Net: A Lake Water Body Extraction Network Based on Hybrid-scale Attention and Transfer Learning
Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at scale
Halo-free image enhancement through multi-scale detail sharpening and single-scale contrast stretching
Halo-free image enhancement through multi-scale detail sharpening and single-scale contrast stretching
Hamming Embedding and Weak Geometric Consistency for Large scale Image Search
Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering
Hand pose recognition using curvature scale space
Hand Pose Understanding With Large-scale Photo-Realistic Rendering Dataset
Hand Waving Away scale
Hand-Dorsa Vein Recognition Based on scale and Contrast Invariant Feature Matching
Handling Missing Data in Large-scale MODIS AOD Products Using a Two-Step Model
Handling Significant scale Difference for Object Retrieval in a Supermarket
Handwritten numeral recognition using gradient and curvature of gray scale image
HanFont: large-scale adaptive Hangul font recognizer using CNN and font clustering
Hard Mixtures of Experts for Large scale Weakly Supervised Vision
Harmonizing and Combining Existing Land Cover/Land Use Datasets for Cropland Area Monitoring at the African Continental scale
Harmony Potentials: Fusing Global and Local scale for Semantic Image Segmentation
Harnessing Object and Scene Semantics for Large-scale Video Understanding
Harris-Like scale Invariant Feature Detector, A
Harvesting large-scale weakly-tagged image databases from the web
Harvesting Mid-level Visual Concepts from Large-scale Internet Images
Hash Learning With Variable Quantization for Large-scale Retrieval
Hash-Based Support Vector Machines Approximation for Large scale Prediction
Hash-SVM: Scalable Kernel Machines for Large-scale Visual Classification
Hashing for Large scale Systems, Web-Scale System
Hashing for Large scale Systems, Web-Scale System
Hashing Hyperplane Queries to Near Points with Applications to Large-scale Active Learning
Hausdorff Dimension and scale-Space Normalisation of Natural Images, The
Hausdorff Dimension and scale-Space Normalization of Natural Images, The
Haze Removal of Railway Monitoring Images Using Multi-scale Residual Network
HCL2000: A Large-scale Handwritten Chinese Character Database for Handwritten Character Recognition
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large scale Visual Recognition
HD-MTL: Hierarchical Deep Multi-Task Learning for Large-scale Visual Recognition
HDMNet: A Hierarchical Matching Network with Double Attention for Large-scale Outdoor LiDAR Point Cloud Registration
HDR Image Compression by Multi-scale down Sampling of Intensity Levels
Head Pose Estimation Using Multi-scale Gaussian Derivatives
Heat Diffusion Based Multi-scale and Geometric Structure-Aware Transformer for Mesh Segmentation
Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition
HEp-2 cell classification: The role of Gaussian scale Space Theory as a pre-processing approach
Hephaestus: A large scale multitask dataset towards InSAR understanding
Heterogeneous Graph Propagation for Large-scale Web Image Search
Heterogeneous Information Fusion and Visualization for a Large-scale Intelligent Video Surveillance System
HEVC Video Steganalysis Based on PU Maps and Multi-scale Convolutional Residual Network
HiBuffer: Buffer Analysis of 10-Million-scale Spatial Data in Real Time
Hierarchical Approach for Measuring the Consistency of Water Areas between Multiple Representations of Tile Maps with Different scales, A
Hierarchical clustering on texture statistics for search space reduction of large scale face recognition
Hierarchical Clustering-Aligning Framework Based Fast Large-scale 3D Reconstruction Using Aerial Imagery
Hierarchical Clustering-Based Graphs for Large scale Approximate Nearest Neighbor Search
Hierarchical Deep Hashing for Fast Large scale Image Retrieval
Hierarchical fusion of optical and dual-polarized SAR on impervious surface mapping at city scale
Hierarchical Image Geo-location on a World-Wide scale
Hierarchical image peeling: A flexible scale-space filtering framework
Hierarchical Image Segmentation Algorithm Based on an Observation scale, A
Hierarchical Information Extraction Method for Large-scale Centralized Photovoltaic Power Plants Based on Multi-Source Remote Sensing Images, A
Hierarchical kernel-based rotation and scale invariant similarity
Hierarchical learning of multi-task sparse metrics for large-scale image classification
Hierarchical Learning of Tree Classifiers for Large-scale Plant Species Identification
Hierarchical long-tailed classification based on multi-granularity knowledge transfer driven by multi-scale feature fusion
Hierarchical Model Predictive Control Approach for Signal Splits Optimization in Large-scale Urban Road Networks, A
Hierarchical motion estimation with 2-scale tilings
Hierarchical Motion Planning for Autonomous Driving in Large-scale Complex Scenarios
Hierarchical Multi-scale Attention Networks for action recognition
Hierarchical OBB-sphere tree for large-scale range data management
Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions, A
Hierarchical Object Representation: Comparative Multi-scale Mapping of Anthropogenic and Natural Features
Hierarchical Refined Composite Multi-scale Fractal Dimension and Its Application in Feature Extraction of Ship-Radiated Noise
Hierarchical scale-Based Multiobject Recognition of 3-D Anatomical Structures
Hierarchical segmentation using dynamics of multi-scale color gradient watersheds
Hierarchical semantic indexing for large scale image retrieval
Hierarchical String Cuts: A Translation, Rotation, scale, and Mirror Invariant Descriptor for Fast Shape Retrieval
Hierarchical Terrain Attention and Multi-scale Rainfall Guidance for Flood Image Prediction
Hierarchical Training for Large scale Face Recognition with Few Samples Per Subject
Hierarchical Watershed Segmentation of Canopy Height Model for Multi-scale Forest Inventory
Hierarchical, Multi-scale Texture Representations and Analysis
Hierarchical/scale-Space Contour Matching and Descriptions
Hierarchy Construction Schemes Within the scale Set Framework
HiEve: A Large-scale Benchmark for Human-Centric Video Analysis in Complex Events
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
High accuracy local stereo matching using DoG scale map
High Accuracy Monocular SFM and scale Correction for Autonomous Driving
High capacity multi-scale image sharing scheme by combining visual cryptography with data hiding
High Definition Video Transmission over Wlans with Time-scale and R-D Optimized Rate Adaptation
High Dimensional Semiparametric scale-Invariant Principal Component Analysis
high dynamic range video codec optimized by large-scale testing, A
High Performance Large scale Face Recognition with Multi-cognition Softmax and Feature Retrieval
High Quality Monocular Depth Estimation Via A Multi-scale Network And A Detail-Preserving Objective
High Resolution Orthomosaics of African Coral Reefs: A Tool for Wide-scale Benthic Monitoring
High scale 3D Modelling And Orthophoto of Curved Masonries for A Multipurpose Representation, Analysis And Assessment
High-Accuracy Mapping of Soil Parent Material Types in Hilly Areas at the County scale Using Machine Learning Algorithms
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
High-dimensional MRI data analysis using a large-scale manifold learning approach
High-dimensional signature compression for large-scale image classification
High-fidelity 3D face reconstruction with multi-scale details
High-Level Semantic Networks for Multi-scale Object Detection
High-Performance Optical-Flow Architecture Based on a Multi-scale, Multi-Orientation Phase-Based Model
High-Resolution Document Shadow Removal via A Large-scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
High-resolution face verification using pore-scale facial features
High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis
High-Resolution Mapping of Soil Organic Matter at the Field scale Using UAV Hyperspectral Images with a Small Calibration Dataset
High-Resolution National-scale Mapping of Paddy Rice Based on Sentinel-1/2 Data
High-Resolution SAR Image Classification Using Multi-scale Deep Feature Fusion and Covariance Pooling Manifold Network
High-Speed, Light-Weight Scalar Magnetometer Bird for km scale UAV Magnetic Surveying: On Sensor Choice, Bird Design, and Quality of Output Data, A
High-throughput calculation of organ-scale traits with reconstructed accurate 3D canopy structures using a UAV RGB camera with an advanced cross-circling oblique route
HigherHRNet: scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Highlight on a Feature Extracted at Fine scales: The Pointwise Lipschitz Regularity
HiIndex: An Efficient Spatial Index for Rapid Visualization of Large-scale Geographic Vector Data
Hippocampus Segmentation Based on Orientation-scale Descriptor and Sparse Coding
Histogram Analysis Using A scale Space Approach
Historian: A Large-scale Historical Film Dataset with Cinematographic Annotation
Historical Heterogeneity Predicts Smiling: Evidence from Large-scale Observational Analyses
Hitherto Unnoticed Singularity of scale-Space, A
HMA-Depth: A New Monocular Depth Estimation Model Using Hierarchical Multi-scale Attention
HMAX-S: Deep scale representation for biologically inspired image categorization
HMM-based Person Re-identification in Large-scale Open Scenario
HMS-Net: Hierarchical Multi-scale Sparsity-Invariant Network for Sparse Depth Completion
HMSM-Net: Hierarchical multi-scale matching network for disparity estimation of high-resolution satellite stereo images
Homography From Two Orientation- and scale-Covariant Features
Horn-Schunck Optical Flow with a Multi-scale Strategy
Hough Array Processing via Fast Multi-scale Clustering
Hough Pyramid Matching: Speeded-Up Geometry Re-ranking for Large scale Image Retrieval
How Are Macro-scale and Micro-Scale Built Environments Associated with Running Activity? The Application of Strava Data and Deep Learning in Inner London
How Are Macro-scale and Micro-Scale Built Environments Associated with Running Activity? The Application of Strava Data and Deep Learning in Inner London
How Do Two- and Three-Dimensional Urban Structures Impact Seasonal Land Surface Temperatures at Various Spatial scales? A Case Study for the Northern Part of Brooklyn, New York, USA
How Does scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes?
How Marginal Likelihood Inference Unifies Entropy, Correlation and SNR-Based Stopping in Nonlinear Diffusion scale-Spaces
How to Synthesize a Large-scale and Trainable Micro-Expression Dataset?
How to Transform Kernels for scale-Convolutions
How wetland type and area change through scale: a GEOBIA case study of Alberta's boreal plains
How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds
HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation
Hub Labels on the database for large-scale graphs with the COLD framework
Human Action Recognition in Large-scale Datasets Using Histogram of Spatiotemporal Gradients
Human action recognition toward massive-scale sport sceneries based on deep multi-model feature fusion
Human body segmentation based on independent component analysis with reference at two-scale superpixel
Human Pose Prediction by Progressive Generation in Multi-scale Frequency Domain
Human Posture Recognition Using Multi-scale Morphological Method and Kalman Motion Estimation
Human Vision Based 3D Point Cloud Semantic Segmentation of Large-scale Outdoor Scenes
Human-Centric Scene Understanding for 3D Large-scale Scenarios
Human3.6M: Large scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
Hybrid Approach Combining the Multi-Temporal scale Spatio-Temporal Network with the Continuous Triangular Model for Exploring Dynamic Interactions in Movement Data: A Case Study of Football, A
Hybrid Image Registration based on Configural Matching of scale-Invariant Salient Region Features
Hybrid inter- and intra-wavelet scale image restoration
Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed scale
Hybrid macro-micro visual analysis for city-scale state estimation
Hybrid Neural Rendering for Large-scale Scenes with Motion Blur
Hybrid Nonlinear and Machine Learning Methods for Analyzing Factors Influencing the Performance of Large-scale Transport Infrastructure
Hybrid segmentation method based on multi-scale Gaussian kernel fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images
Hybrid-Indexing Multi-type Features for Large-scale Image Search
Hybrid-scale Feature Enhancement Network for Hyperspectral Image Classification, A
Hybrid-scale Hierarchical Transformer for Remote Sensing Image Super-Resolution
Hydrological Modelling using Satellite-Based Crop Coefficients: A Comparison of Methods at the Basin scale
Hydrological Web Services for Operational Flood Risk Monitoring and Forecasting at Local scale in Niger
HyNet: Hyper-scale Object Detection Network Framework for Multiple Spatial Resolution Remote Sensing Imagery
Hypergraph P-Laplacians, scale Spaces, and Information Flow in Networks
Hyperpoints and Fine Vocabularies for Large-scale Location Recognition
Hyperspectral Image Classification Based on Multi-scale Residual Network with Attention Mechanism
Hyperspectral Image Classification on Large-scale Agricultural Crops: The Heilongjiang Benchmark Dataset, Validation Procedure, and Baseline Results
Hyperspectral Image Classification with Multi-scale Feature Extraction
Hyperspectral image quality based on convolutional network of multi-scale depth
Hyperspectral Imaging for Fine to Medium scale Applications in Environmental Sciences
Hyperspectral Video Target Tracking Based on Deep Features with Spectral Matching Reduction and Adaptive scale 3D HoG Features
IbISPRS Workshop on Multi-dimensional and Multi-scale Spatial Data Modeling
Ice Concentration From Dual-Polarization SAR Images Using Ice and Water Retrievals at Multiple Spatial scales
ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution
Identification of Grain Boundary Contours at Atomic scale
Identification of multi-scale corresponding object-set pairs between two polygon datasets with hierarchical co-clustering
Identification of Patterns over Regional scales Using Self-Organising Maps on Images from Marine Modelling Outputs
Identification of Short-Rotation Eucalyptus Plantation at Large scale Using Multi-Satellite Imageries and Cloud Computing Platform
Identification of the Characteristic scale of Fine Ground Objects: A Case Study of the Core Observation Area in the Middle Reaches of the Heihe River Basin
Identifying critical incidents in naturalistic driving data: experiences from a promoting real life observation for gaining understanding of road user behaviour in europe small-scale field trial
Identifying Land Use/Cover Dynamics in the Koga Catchment, Ethiopia, from Multi-scale Data, and Implications for Environmental Change
Identifying Morphological Indicators of Aging With Neural Networks on Large-scale Whole-Body MRI
Identifying Multiple scales of Spatial Heterogeneity in Housing Prices Based on Eigenvector Spatial Filtering Approaches
Identifying the Impact of Regional Meteorological Parameters on US Crop Yield at Various Spatial scales Using Remote Sensing Data
Identifying Urban Residents' Activity Space at Multiple Geographic scales Using Mobile Phone Data
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
IG-RL: Inductive Graph Reinforcement Learning for Massive-scale Traffic Signal Control
iLab-20M: A Large-scale Controlled Object Dataset to Investigate Deep Learning
image analogy approach for multi-scale image segmentation, An
Image Analysis Methods to Monitor Natura 2000 Habitats at Regional scales: the MS. MONINA State Service Example in Schleswig-Holstein, Germany
Image Approximation from Gray scale Medial Axes
Image Categorization Using Scene-Context scale Based on Random Forests
Image compression based on multi-scale edge compensation
Image Compression Based on Visual Saliency at Individual scales
Image Compression with Laplacian Guided scale Space Inpainting
Image Copy-Move Forgery Detection Using Combination of scale-Invariant Feature Transform and Local Binary Pattern Features
Image Database Querying Using a Multi-scale Localized Color Representation
Image Databases, Large scale Systems, Web-Scale System
Image Databases, Large scale Systems, Web-Scale System
Image Databases, scale and Fractal Transforms
Image Deblurring Using Deep Multi-scale Distortion Prior
Image denoising based on adaptive spatial segmentation and multi-scale correlation in directionlet domain
Image Denoising Based on Fuzzy and Intra-scale Dependency in Wavelet Transform Domain
Image Denoising Based on scale-Space Mixture Modeling of Wavelet Coefficients
Image Denoising in Nonlinear scale-Spaces: Automatic Scale Selection via Cross-Validation
Image Denoising in Nonlinear scale-Spaces: Automatic Scale Selection via Cross-Validation
Image denoising through multi-scale learnt dictionaries
Image Denoising Using a Local Gaussian scale Mixture Model in the Wavelet Domain
Image Denoising using Gaussian scale Mixtures in the Wavelet Domain
Image Denoising Using Gaussian scale Mixtures with Gaussian-Hermite PDF in Steerable Pyramid Domain
Image denoising using mixtures of Gaussian scale mixtures
Image Denoising Using Mixtures of Projected Gaussian scale Mixtures
Image denoising using scale mixtures of gaussians in the wavelet domain
Image Denoising Using scale-adaptive Lifting Schemes
Image Denoising Using Similarities in the Time-scale Plane
Image Denoising With 2D scale-Mixing Complex Wavelet Transforms
Image Denoising with a Constrained Discrete Total Variation scale Space
Image Denoising with an Orientation-Adaptive Gaussian scale Mixture Model
Image enhancement by wavelet multi-scale edge statistics
Image fusion based on multi-scale transform and sparse representation: an image energy approach
Image Fusion Quality Measure Based on a Multi-scale Approach
Image Hashing Algorithm via Iterative scale Interaction Geometric Model
Image inpainting using wavelet-based inter- and intra-scale dependency
Image Inpainting with Multi-scale Consistent Features
Image interpolation based on inter-scale dependency in wavelet domain
Image Interpolation Using Multi-scale Attention-Aware Inception Network
Image interpretation of topographic maps on a medium scale via frame-based modelling
Image Manipulation Detection by Multi-View Multi-scale Supervision
Image Manipulation Localization Using Multi-scale Feature Fusion and Adaptive Edge Supervision
Image matching and outlier removal for large scale DSM generation
Image matching in large scale indoor environment
Image Matching Using Generalized scale-Space Interest Points
Image Matching with scale Adjustment
Image Modeling and Denoising With Orientation-Adapted Gaussian scale Mixtures
Image multi-scale edge detection using 3-D Hidden Markov Model based on the non-decimated wavelet
Image objects and multi-scale features for annotation detection
Image Processing Architecture for Real Time Generation of scale and Rotation Invariant Patterns, An
Image Processing in scale-Orientation Space
Image Provenance Analysis at scale
Image Quality Assessment Based on Multi-scale Geometric Analysis
Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations
Image Registration Using Multi-scale Texture Moments
Image Restoration of Phase Contrast Nano scale X-ray CT Images
Image restoration using gaussian scale mixtures in the wavelet domain
Image Restoration Using Space-Variant Gaussian scale Mixtures in Overcomplete Pyramids
Image restoration via exponential scale mixture-based simultaneous sparse prior
Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian scale Mixture
Image retrieval on large-scale image databases
Image Retrieval Using Multi-scale Color Clustering
Image Retrieval Using scale-Space Matching
Image Retrieval with scale Invariant Visual Phrases
Image saliency detection via multi-scale iterative CNN
Image saliency detection via multi-scale statistical non-redundancy modeling
Image scale and rotation from the phase-only bispectrum
Image segmentation based on multi-region multi-scale local binary fitting and Kullback-Leibler divergence
Image segmentation for large-scale subcategory flower recognition
Image segmentation from scale and rotation invariant texture features from the double dyadic dual-tree complex wavelet transform
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 Using Iterated Graph Cuts Based on Multi-scale Smoothing
Image segmentation via multi-scale stochastic regional texture appearance models
Image selective restoration using multi-scale variational decomposition
Image Sequence Analysis of Complex Physical Objects: Nonlinear Small scale Water Surface Waves
Image smoothing using a metric tensor for an affine invariant scale space
Image smoothing via a scale-aware filter and L_0 norm
Image Stitching Based on Multi-scale Meshes
Image Super-Resolution With Cross-scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Image utility estimation using difference-of-Gaussian scale space
Image-based translucency transfer through correlation analysis over multi-scale spatial color distribution
Image-Guided Human Reconstruction via Multi-scale Graph Transformation Networks
Image-scale-Symmetric Cooperative Network for Defocus Blur Detection
ImageNet Large scale Visual Recognition Challenge
ImageNet: A large-scale hierarchical image database
Imaging Cultural Heritage at Different scales: Part I, the Micro-Scale (Manufacts)
Imaging Cultural Heritage at Different scales: Part I, the Micro-Scale (Manufacts)
Imbalanced RankBoost for efficiently ranking large-scale image/video collections
IMD2020: A Large-scale Annotated Dataset Tailored for Detecting Manipulated Images
Impact of Backscatter Variations Over Water Bodies on Coarse-scale Radar Retrieved Soil Moisture and the Potential of Correcting With Meteorological Data
Impact of Categorical and Spatial scale on Supervised Crop Classification using Remote Sensing
Impact of Large-scale Ocean-Atmosphere Interactions on Interannual Water Storage Changes in the Tropics and Subtropics
Impact of Radar Radial Velocity Data Assimilation Using WRF-3DVAR System with Different Background Error Length scales on the Forecast of Super Typhoon Lekima (2019), The
Impact of scale on Signed, Unsigned, Authentic and Phantom Zero Crossings in a Noisy Environment
Impact of the Management scale on the Technical Efficiency of Forest Vegetation Carbon Sequestration: A Case Study of State-Owned Forestry Enterprises in Northeast China
Impact of the scale on Several Metrics Used in Geographical Object-Based Image Analysis: Does GEOBIA Mitigate the Modifiable Areal Unit Problem (MAUP)?
Impacts of AOD Correction and Spatial scale on the Correlation between High-Resolution AOD from Gaofen-1 Satellite and In Situ PM2.5 Measurements in Shenzhen City, China
Impacts of Growth and Environmental Parameters on Solar-Induced Chlorophyll Fluorescence at Seasonal and Diurnal scales, The
Impacts of Large-scale Open-Pit Coal Base on the Landscape Ecological Health of Semi-Arid Grasslands
Impacts of scale on Geographic Analysis of Health Data: An Example of Obesity Prevalence
Impervious Surfaces Mapping at City scale by Fusion of Radar and Optical Data through a Random Forest Classifier
Implementation and Parallelization of the scale Space Meshing Algorithm, An
Implementation of an Equal-area Gridding Method for Global-scale Image Archiving
Implementation of an Unmanned Aerial Vehicle System for Large scale Mapping
Implementation of scale and Rotation Invariant On-Line Object Tracking Based on CUDA
Implementing continuous-scale morphology via curve evolution
implicit Markov random field model for the multi-scale oriented representations of natural images, An
Importance of scale in Object-based Mapping of Vegetation Parameters with Hyperspectral Imagery, The
importance of scale when selecting pixels for image registration, The
Importance sampling based discriminative learning for large scale offline handwritten Chinese character recognition
Improved Automated Detection of Subpixel-scale Inundation: Revised Dynamic Surface Water Extent (DSWE) Partial Surface Water Tests
Improved Content-Based Watermarking Using scale-Invariant Feature Points
Improved Geometric Optics with Topography (IGOT) Model for GNSS-R Delay-Doppler Maps Using Three-scale Surface Roughness
Improved Geometric Verification for Large scale Landmark Image Collections
Improved Global 1:50000 scale Surveying and Mapping 4D Product Generation Approach Using the Public Geographic Information Data
Improved Gray scale and the Coarse-Fine PCM Systems: Two New Digital TV Bandwidth Reduction Techniques, The
Improved iSAM Based on Flexible Re-Linearization Threshold and Error Learning Model for AUV in Large scale Areas
Improved maize cultivated area estimation over a large scale combining MODIS-EVI time series data and crop phenological information
Improved marching tetrahedra algorithm based on hierarchical signed distance field and multi-scale depth map fusion for 3D reconstruction
improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking, An
Improved Method for the Evaluation and Local Multi-scale Optimization of the Automatic Extraction of Slope Units in Complex Terrains, An
improved methodology for quantifying pixel-scale entrance pupil irradiance of a Moon-based Earth radiation observatory, An
Improved Multi-scale Dynamic Feature Encoding Network for Image Demoireing
Improved multi-scale line detection method for retinal blood vessel segmentation
improved RANSAC based on the scale variation homogeneity, An
Improved Remote Sensing Image Classification Based on Multi-scale Feature Fusion
Improved SAR DSM Generation Approach Using the High-Precise 1:10000 scale Surveying and Mapping Optical DSM
improved synthetic aperture radar-scale invariant feature transform algorithm for interferometric imaging radar altimeter image registration, An
Improved UAV-Based ATI Method Incorporating Solar Radiation for Farm-scale Bare Soil Moisture Measurement, An
Improved Understanding of Trade-Offs and Synergies in Ecosystem Services via Fine Land-Use Classification and Multi-scale Analysis in the Arid Region of Northwest China
improved YOLOv5 method for large objects detection with multi-scale feature cross-layer fusion network, An
Improvement And Extension Of Shape Evaluation Criteria In Multi-scale Image Segmentation
Improvement of a Dasymetric Method for Implementing Sustainable Development Goal 11 Indicators at an Intra-Urban scale
improvement of multi-scale covariance descriptor for embedded system, An
Improvement of the real-time gesture analysis by a new mother wavelet and the application for the navigation inside a scale-one 3D system
Improving Aboveground Forest Biomass Maps: From High-Resolution to National scale
Improving Bag-of-Features for Large scale Image Search
Improving crowd counting with scale-aware convolutional neural network
Improving Denoising Algorithms via a Multi-scale Meta-procedure
Improving Density Based Clustering with Multi-scale Analysis
Improving Edges by Neighborhood Processing, Relaxation, Multi-scale
Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle
Improving ellipse fitting via multi-scale smoothing and key-point searching
Improving Feature Learning in Remote Sensing Images Using an Integrated Deep Multi-scale 3D/2D Convolutional Network
Improving Field-scale Wheat LAI Retrieval Based on UAV Remote-Sensing Observations and Optimized VI-LUTs
Improving hyperspectral image segmentation by applying inverse noise weighting and outlier removal for optimal scale selection
Improving Image Pair Selection for Large scale Structure from Motion by Introducing Modified Simpson Coefficient
Improving Image Recognition by Retrieving from Web-scale Image-Text Data
Improving Jujube Fruit Tree Yield Estimation at the Field scale by Assimilating a Single Landsat Remotely-Sensed LAI into the WOFOST Model
Improving large-scale face image retrieval using multi-level features
Improving Large-scale Image Retrieval Through Robust Aggregation of Local Descriptors
Improving LST Downscaling Quality on Regional and Field-scale by Parameterizing the DisTrad Method
Improving Multi-scale Face Recognition Using VGGFace2
Improving multispectral pedestrian detection with scale-aware permutation attention and adjacent feature aggregation
Improving Panoptic Segmentation at All scales
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-scale Attribute-Specific Localization
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation
Improving scene attribute recognition using web-scale object detectors
Improving Scene Text Detection by scale-Adaptive Segmentation and Weighted CRF Verification
Improving Seismic Fault Recognition with Self-Supervised Pre-Training: A Study of 3D Transformer-Based with Multi-scale Decoding and Fusion
Improving Semantic Segmentation of Roof Segments Using Large-scale Datasets Derived from 3D City Models and High-Resolution Aerial Imagery
Improving Single Shot Object Detection With Feature scale Unmixing
Improving Spring Maize Yield Estimation at Field scale by Assimilating Time-Series HJ-1 CCD Data into the WOFOST Model Using a New Method with Fast Algorithms
Improving texture description in remote sensing image multi-scale classification tasks by using visual words
Improving the Accuracy of Open Source Digital Elevation Models with Multi-scale Fusion and a Slope Position-Based Linear Regression Method
Improving the Fisher Kernel for Large-scale Image Classification
Improving the Internal Accuracy of UAV-image Blocks Using Local Low-altitude Flights and scale-bars
Improving the Speed of Kernel PCA on Large scale Datasets
Improving the Visual Quality of Generative Adversarial Network (GAN)-Generated Images Using the Multi-scale Structural Similarity Index
Improving Time-scale Modification of Music Signals Using Harmonic-Percussive Separation
Improving traffic sign recognition results in urban areas by overcoming the impact of scale and rotation
Improving Unsupervised Object-Based Change Detection via Hierarchical Multi-scale Binary Partition Tree Segmentation: A Case Study in the Yellow River Source Region
Improving Wavelet De-Noise By Means of Shifting-scale-Method
Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal scales
IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-scale Temporal Convolutional Networks
In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV scale
In-Memory Distributed Mosaicking for Large-scale Remote Sensing Applications with Geo-Gridded Data Staging on Alluxio
In-Plane Rotation and scale Invariant Clustering Using Dictionaries
In-scale Motion Compensation for Spatially Scalable Video Coding
Incidents1M: A Large-scale Dataset of Images With Natural Disasters, Damage, and Incidents
Incorporating a measure of local scale in voxel-based 3-D image registration
Incorporating Attention Mechanism, Dense Connection Blocks, and Multi-scale Reconstruction Networks for Open-Set Hyperspectral Image Classification
Incorporating Endmember Variability into Linear Unmixing of Coarse Resolution Imagery: Mapping Large-scale Impervious Surface Abundance Using a Hierarchically Object-Based Spectral Mixture Analysis
Incorporating Multi-scale, Spectrally Detected Nitrogen Concentrations into Assessing Nitrogen Use Efficiency for Winter Wheat Breeding Populations
Incorporation Of Unreliable Information Into Photogrammetric Reconstruction For Recovery Of scale Using Non-parametric Belief Propagation
Increasing Global Flood Risk in 2005-2020 from a Multi-scale Perspective
Incremental face recognition for large-scale social network services
Incremental Few-Shot Object Detection with scale- and Centerness-Aware Weight Generation
Incremental Large scale 3D Reconstruction
Incremental Learning of NCM Forests for Large-scale Image Classification
Incremental Learning of Random Forests for Large-scale Image Classification
Incremental Mosaicking of Images from Autonomous, Small-scale UAVs
Incremental N-Mode SVD for Large-scale Multilinear Generative Models
Index for the Consistent Measurement of Spatial Heterogeneity for Large-scale Land Cover Datasets
Indexing and mining large-scale neuron databases using maximum inner product search
Indexing Based on scale Invariant Interest Points
Indexing in large scale image collections: Scaling properties and benchmark
Indexing Pictures by Key Objects for Large-scale Image Databases
Indicator-based Approach for Micro-scale Physical Flood Vulnerability Mapping, An
Individual and Interactive Influences of Anthropogenic and Ecological Factors on Forest PM2.5 Concentrations at an Urban scale
individual tree crown delineation method based on multi-scale segmentation of imagery, An
Individual Tree Diameter Estimation in Small-scale Forest Inventory Using UAV Laser Scanning
Individual Tree-scale Aboveground Biomass Estimation of Woody Vegetation in a Semi-Arid Savanna Using 3D Data
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation
Inexact implementation using Krylov subspace methods for large scale exponential discriminant analysis with applications to high dimensionality reduction problems
Inferring Emotions From Large-scale Internet Voice Data
Inferring the scale and Content of A Map Using Deep Learning
InfiniCity: Infinite-scale City Synthesis
influence of image descriptors' dimensions' value cardinalities on large-scale similarity search, The
Influence of Map Projections on People's Global-scale Cognitive Map: A Worldwide Study, The
Influence of Ocean Processes on Fine-scale Changes in the Yellow Sea Cold Water Mass Boundary Area Structure Based on Acoustic Observations, The
Influence of Precipitation Effects Induced by Large-scale Irrigation in Northwest China on Soil Erosion in the Yellow River Basin
Influence of scale Effect of Canopy Projection on Understory Microclimate in Three Subtropical Urban Broad-Leaved Forests
Influence of shape parameters on optimal scale selection in multi-resolution segmentation
Influence of Sky View Factor on Daytime and Nighttime Urban Land Surface Temperature in Different Spatial-Temporal scales: A Case Study of Beijing, The
Influence of Surface Roughness Measurement scale on Radar Backscattering in Different Agricultural Soils
influence of the g-parameter on feature detection with automatic scale selection, The
Influence of Urban scale and Urban Expansion on the Urban Heat Island Effect in Metropolitan Areas: Case Study of Beijing-Tianjin-Hebei Urban Agglomeration
Influences of Satellite Sensor and scale on Derivation of Ecosystem Functional Types and Diversity
Influences of variable scales and activation functions on the performances of multilayer feedforward neural networks
Information Measures in scale-Spaces
Information-based shape description with scale, translation and rotation invariance
Infrared and Visible Image Fusion Enhancement Technology Based on Multi-scale Directional Analysis
Infrared and visible image fusion for ship targets based on scale-aware feature decomposition
Infrared and visible image fusion using multi-scale NSCT and rolling-guidance filter
Infrared and visible image fusion via saliency analysis and local edge-preserving multi-scale decomposition
Infrared Image Enhancement Based on Optimally Weighted Multi-scale Laplacian of Gaussian and Local Statistics Using Particle Swarm Optimization
Infrared Imaging Detection of Water Permeation on Field Large-scale Rock Relics
Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction
Innovative Slepian Approach to Invert GRACE KBRR for Localized Hydrological Information at the Sub-Basin scale, An
InSAR Performance for Large-scale Deformation Measurement
Inshore Ship Detection in Large-scale SAR Images Based on Saliency Enhancement and Bhattacharyya-like Distance
Insights from a Large-scale Database of Material Depictions in Paintings
Instance Segmentation of Benthic scale Worms at a Hydrothermal Site
Instantaneous 3D Continental-Shelf scale Imaging of Oceanic Fish by Multi-Spectral Resonance Sensing Reveals Group Behavior during Spawning Migration
Integer Associative Memory for Gray-scale Images, An
Integrated Approach for 3D Solar Potential Assessment at the City scale, An
Integrated Geophysical and Unmanned Aerial Systems Surveys for Multi-Sensory, Multi-scale and Multi-Resolution Cave Detection: The Gravaglione Site (Canale di Pirro Polje, Apulia), An
Integrated HBIM-GIS Models for Multi-scale Seismic Vulnerability Assessment of Historical Buildings
Integrated Method Combining Remote Sensing Data and Local Knowledge for the Large-scale Estimation of Seismic Loss Risks to Buildings in the Context of Rapid Socioeconomic Growth: A Case Study in Tangshan, China, An
Integrated Multi-scale Event Verification in an Augmented Foreground Motion Space
Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification with Joint Colour-Texture Features, An
Integrated Platform for Ground-Motion Mapping, Local to Regional scale; Examples from SE Europe, An
Integrated System for Auto-Registered Hyperspectral and 3D Structure Measurement at the Point scale
integrated system on large scale building extraction from DSM, An
Integrated Tensor Voting in Multiple scales for Shape Description in 3D
Integrated Use of DMSP-OLS Nighttime Light and MODIS Data for Monitoring Large-scale Impervious Surface Dynamics: A Case Study in the Yangtze River Delta, The
Integrating Automated Range Registration with Multiview Geometry for the Photorealistic Modeling of Large-scale Scenes
Integrating Fine scale Information in Super-resolution Land-cover Mapping
Integrating GRACE/GRACE Follow-On and Wells Data to Detect Groundwater Storage Recovery at a Small-scale in Beijing Using Deep Learning
Integrating Information About Edges Across scale-Space
Integrating multi-level deep learning and concept ontology for large-scale visual recognition
Integrating multi-modal content analysis and hyperbolic visualization for large-scale news video retrieval and exploration
Integrating Multi-scale Remote-Sensing Data to Monitor Severe Forest Infestation in Response to Pine Wilt Disease
Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine Learning: Multi-scale Approach
Integrating scale and Space in 3D City Models
Integrating Spectral Information and Meteorological Data to Monitor Wheat Yellow Rust at a Regional scale: A Case Study
Integrating texture features into a region-based multi-scale image segmentation algorithm
Integration frameworks for large scale cognitive vision systems: An Evaluative Study
Integration of Digital Images and GIS for Mapping Applications of Urban, Regional and Global scales: Foreword
Integration of GNSS and Satellite InSAR Data: Derivation of Fine-scale Vertical Surface Motion Maps of Po Plain, Northern Apennines, and Southern Alps, Italy
Integration of Multiple Temporal and Spatial scales for Robust Optic Flow Estimation in a Biologically Inspired Algorithm
Integration of Remote Sensing Data and Basic Geodata at Different scale Levels for Improved Land Use Analyses
Integration of Satellite Interferometric Data in Civil Protection Strategies for Landslide Studies at a Regional scale
Integration of TanDEM-X and SRTM DEMs and Spectral Imagery to Improve the Large-scale Detection of Opencast Mining Areas
Intelligent Tool Condition Monitoring Based on Multi-scale Convolutional Recurrent Neural Network
Inter-scale Sure-Let Image Restoration with Deep Unrolled Image Prior
Interactions Between Large-scale Functional Brain Networks are Captured by Sparse Coupled HMMs
Interactive and Online Buffer-Overlay Analytics of Large-scale Spatial Data
Interactive Modeling, Simulation and Control of Large-scale Crowds and Traffic
Interactive multi-scale feature representation enhancement for small object detection
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-Object Vehicle Tracking
Interactive two-scale color-to-gray
Interannual Variation in Phytoplankton Primary Production at A Global scale
Interest Point Detection and scale Selection in Space-Time
Interest Point Detection Method Based on Multi-scale Gabor Filters
Interleaved text/image Deep Mining on a large-scale radiology database
International Large-scale Vehicle Corpora for Research on Driver Behavior on the Road
InternImage: Exploring Large-scale Vision Foundation Models with Deformable Convolutions
Interpretable Fast Multi-scale Deep Decoder for the Standard HEVC Bitstreams, The
Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer's disease analysis
Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space
Intra-frame Skeleton Constraints Modeling and Grouping Strategy Based Multi-scale Graph Convolution Network for 3D Human Motion Prediction
Intra-Season Crop Height Variability at Commercial Farm scales Using a Fixed-Wing UAV
Intrinsic Image Transformation via scale Space Decomposition
Intrinsic Multiscale Representation Using Optical Flow in the Scale-Space
Intrinsic scale Space for Images on Surfaces: The Geodesic Curvature Flow
Introducing a New Remote Sensing-Based Model for Forecasting Forest Fire Danger Conditions at a Four-Day scale
Introducing the concept of anisotropy at different scales for modeling optical turbulence
Introduction to a Large-scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks
Introduction to the Special Issue on MMAC: Multimodal Affective Computing of Large-scale Multimedia Data
Intuitive Pointing Position Estimation for Large scale Display Interaction in Top-View Depth Images
Invariant foreground occupation ratio for scale adaptive mean shift tracking
Invariant Grey-scale Features for 3d Sensor-data
Invariant multi-scale descriptor for shape representation, matching and retrieval
Invariant Multi-scale Object Categorisation and Recognition
Invariant multi-scale shape descriptor for object matching and recognition
Inventory and Distribution Characteristics of Large-scale Landslides in Baoji City, Shaanxi Province, China
Inverse scale Space Iterations for Non-convex Variational Problems Using Functional Lifting
Inverse scale Spaces for Nonlinear Regularization
Inverse scale-space theory for inverse problems
Investigating Foliar Macro- and Micronutrient Variation with Chlorophyll Fluorescence and Reflectance Measurements at the Leaf and Canopy scales in Potato
Investigating large-scale feature matching using the Intel® Xeon Phi™ coprocessor
Investigating The Possibility of Preparing Small scale Soil Moisture Map From Coupled Sentinel-1 and Sentinel-2 Data
Investigating the relationship between image enhancement and image compression in the context of the multi-scale retinex
Investigating the Uncertainties Propagation Analysis of CO2 Emissions Gridded Maps at the Urban scale: A Case Study of Jinjiang City, China
Investigation of Low Latitude Spread-F Triggered by Nighttime Medium-scale Traveling Ionospheric Disturbance
Investigation of Pointnet for Semantic Segmentation of Large-scale Outdoor Point Clouds
InvFlow: Involution and multi-scale interaction for unsupervised learning of optical flow
IOS-Net: An inside-to-outside supervision network for scale robust text detection in the wild
IP102: A Large-scale Benchmark Dataset for Insect Pest Recognition
iPiano-Net: Nonconvex optimization inspired multi-scale reconstruction network for compressed sensing
IQMA Network: Image Quality Multi-scale Assessment Network
Iranis: A Large-scale Dataset of Iranian Vehicles License Plate Characters
Iris crypts: Multi-scale detection and shape-based matching
Iris Recognition Based on Quadratic Spline Wavelet Multi-scale Decomposition
Iris recognition by fusing different representations of multi-scale Taylor expansion
Iris Recognition with Multi-scale Edge-Type Matching
IRIW: Image Retrieval Based Image Watermarking for Large-scale Image Databases
Irregular Pyramid for Multi-scale Analysis of Objects and Their Parts, An
Irregularity and Asymmetry Analysis of Skin Lesions Based on Multi-scale Local Fractal Distributions
Irrigation Mapping at Different Spatial scales: Areal Change with Resolution Explained by Landscape Metrics
Irrigation Mapping Using Sentinel-1 Time Series at Field scale
Irrigation Timing Retrieval at the Plot scale Using Surface Soil Moisture Derived from Sentinel Time Series in Europe
Is Meta-Learning Always Necessary?: A Practical ML Framework Solving Novel Tasks at Large-scale Car Sharing Platform
Is Second-Order Information Helpful for Large-scale Visual Recognition?
Iso-Surface Extraction in ND Applied to Tracking Feature Curves Across scale
Isolated Sign Language Recognition with Multi-scale Spatial-Temporal Graph Convolutional Networks
ISTEGO100K: Large-scale Image Steganalysis Dataset
It's All About The scale: Efficient Text Detection Using Adaptive Scaling
iterated randomized search algorithm for large-scale texture synthesis and manipulations, An
Iterative Decoding of scale Invariant Image Data-Hiding
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval
Iterative multi-class multi-scale stacked sequential learning: Definition and application to medical volume segmentation
Iterative multi-scale registration without landmarks
Iterative Multi-scale Residual Network for Deblurring
iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds, An
Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-scale Image Retrieval
Iterative Regularization and Nonlinear Inverse scale Space Applied to Wavelet-Based Denoising
Iterative scale-Invariant Feature Transform for Remote Sensing Image Registration
Iterative scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports
JAMSNet: A Remote Pulse Extraction Network Based on Joint Attention and Multi-scale Fusion
Jester Dataset: A Large-scale Video Dataset of Human Gestures, The
JF-Cut: A Parallel Graph Cut Approach for Large-scale Image and Video
JHU-CROWD++: Large-scale Crowd Counting Dataset and A Benchmark Method
Joint Affine and Illumination Estimation Using scale Manipulation Features
Joint and individual matrix factorization hashing for large-scale cross-modal retrieval
Joint Camera Clustering and Surface Segmentation for Large-scale Multi-view Stereo
Joint face completion and super-resolution using multi-scale feature relation learning
Joint Hierarchical Category Structure Learning and Large-scale Image Classification
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-scale Tone Mapping and Denoising for HDR Image Enhancement
Joint scale-Spatial Correlation Tracking with Adaptive Rotation Estimation
Joint Segmentation of Images and Scanned Point Cloud in Large-scale Street Scenes With Low-Annotation Cost
Joint Spatial and Magnification Based Attention Framework for Large scale Histopathology Classification, A
Joint spatial and scale attention network for multi-view facial expression recognition
Joint Specifics and Consistency Hash Learning for Large-scale Cross-Modal Retrieval
Joint Summarization of Large-scale Collections of Web Images and Videos for Storyline Reconstruction
Joint-scale LBP: a new feature descriptor for texture classification
Jointly Learning Visually Correlated Dictionaries for Large-scale Visual Recognition Applications
Jointly sparse fast hashing with orthogonal learning for large-scale image retrieval
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection
JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-scale Pathological CT Scans
Junction Detection with Automatic Selection of Detection scales and Localization Scales
Junction Detection with Automatic Selection of Detection scales and Localization Scales
JustClick: Personalized Image Recommendation via Exploratory Search From Large-scale Flickr Images
K-Hairstyle: A Large-scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification
K-nearest Neighbour Query Performance Analyses On a Large scale Taxi Dataset: Postgresql Vs. Mongodb
KCS--New--New Kernel Family with Compact Support in scale Space: Formulation and Impact
Keep an eye on faces: Robust face detection with heatmap-Assisted spatial attention and scale-Aware layer attention
Kennaugh element framework for multi-scale, multi-polarized, multi-temporal and multi-frequency SAR image preparation, The
Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration
kernel density based approach for large scale image retrieval, A
Kernel-based object tracking using asymmetric kernels with adaptive scale and orientation selection
Kernel-mapped histograms of multi-scale LBPs for tree bark recognition
Keypoint Detection in RGBD Images Based on an Anisotropic scale Space
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations
Knowledge driven weights estimation for large-scale few-shot image recognition
Knowledge Guided Disambiguation for Large-scale Scene Classification With Multi-Resolution CNNs
Knowledge-based Framework for Automatic Semantisation And Reconstruction of Military Architecture On City-scale Models
Knowledge-Based Interpretation of Scanned Large-scale Maps Using Multi-Level Modelling
Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-scale Deep Learning for Mars Crater Detection
KoDF: A Large-scale Korean DeepFake Detection Dataset
Kronos: A Software System for the Processing and Retrieval of Large-scale AVHRR Data Sets
KSL-Guide: A Large-scale Korean Sign Language Dataset Including Interrogative Sentences for Guiding the Deaf and Hard-of-Hearing
KVD: scale invariant keypoints by combining visual and depth data
L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial scales across Denmark
L-Snet: from Region Localization To scale Invariant Medical Image Segmentation
L-Unet: A Landslide Extraction Model Using Multi-scale Feature Fusion and Attention Mechanism
L0 regularized logistic regression for large-scale data
L2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry
L2AMF-Net: An L2-Normed Attention and Multi-scale Fusion Network for Lunar Image Patch Matching
L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-scale Fusion
Label Consistent Matrix Factorization Hashing for Large-scale Cross-Modal Similarity Search
Label or Message: A Large-scale Experimental Survey of Texts and Objects Co-Occurrence
Label Propagation for Large scale 3D Indoor Scenes
Label Propagation with Ensemble of Pairwise Geometric Relations: Towards Robust Large-scale Retrieval of Object Instances
Labeling of Curvilinear Structure Across scales by Token Grouping
LAMP-HQ: A Large-scale Multi-pose High-Quality Database and Benchmark for NIR-VIS Face Recognition
Land Cover Background-Adaptive Framework for Large-scale Road Extraction, A
Land Cover Classification with Multispectral LiDAR Based on Multi-scale Spatial and Spectral Feature Selection
Land Subsidence Hazard In Iran Revealed By Country-scale Analysis Of Sentinel-1 INSAR
Land Suitability Analysis for Potential Vineyards Extension in Afghanistan at Regional scale Using Remote Sensing Datasets
Land Surface Water Mapping Using Multi-scale Level Sets and a Visual Saliency Model from SAR Images
Land Use and Land Cover Influence on Sentinel-2 Aerosol Optical Depth below City scales over Beijing
Land-use scene classification using multi-scale completed local binary patterns
Landmark classification in large-scale image collections
Landsat 8 Lake Water Clarity Empirical Algorithms: Large-scale Calibration and Validation Using Government and Citizen Science Data from across Canada
Landsat-scale Regional Forest Canopy Height Mapping Using ICESat-2 Along-Track Heights: Case Study of Eastern Texas
Landscape Patterns and Topographic Features Affect Seasonal River Water Quality at Catchment and Buffer scales
Landscape-Based Habitat Suitability Model (LHS Model) for Oriental Migratory Locust Area Extraction at Large scales: A Case Study along the Middle and Lower Reaches of the Yellow River, A
Landscape-scale Aboveground Biomass Estimation in Buffer Zone Community Forests of Central Nepal: Coupling In Situ Measurements with Landsat 8 Satellite Data
Landscape-scale Crop Lodging Assessment across Iowa and Illinois Using Synthetic Aperture Radar (SAR) Images
Landscapear: Large scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors
Landslide Detection Using Multi-scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas
Landslide Risk Assessment in Eastern Kentucky, USA: Developing a Regional scale, Limited Resource Approach
Lane-Based Large-scale UAS Traffic Management
Laplacian Eigenimages in Discrete scale Space
Laplacian embedding and key points topology verification for large scale mobile visual identification
Laplacian scale-Space Behavior of Planar Curve Corners
Large Baseline Matching of scale Invariant Features
Large Head Movement Tracking Using scale Invariant View-Based Appearance Model
Large Receptive Field Networks for High-scale Image Super-Resolution
Large scale 3D Data: Acquisition, Modelling and Analysis
Large scale 3D Environmental Modelling for Stereoscopic Walk-Through Visualisation
Large scale 3D Morphable Models
Large scale 3D Point Cloud Modeling from CAD Database in Complex Industrial Environments
Large scale address recognition systems: Truthing, testing, tools, and other evaluation issues
Large scale Agricultural Plastic Mulch Detecting and Monitoring with Multi-Source Remote Sensing Data: A Case Study in Xinjiang, China
Large scale and long standing simultaneous reconstruction and segmentation
Large scale Application Response Time Measurement Using Image Recognition and Deep Learning
Large scale Asset Extraction for Urban Images
Large scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks
Large scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform
Large scale Bayesian Inference And Experimental Design For Sparse Linear Models
Large scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions
Large scale Characterization of the Dielectric Properties of Heterogeneous Layered Rock Salt, A
large scale clustering scheme for kernel k-means, A
Large scale Constraint Delaunay Triangulation for Virtual Globe Rendering
Large scale continuous visual event recognition using max-margin Hough transformation framework
Large scale crowd analysis based on convolutional neural network
Large scale Dataset for Cross-Model Multimedia Analysis
Large scale Document Image Retrieval by Automatic Word Annotation
Large scale Evaluations of Multimedia Information Retrieval: The TRECVid Experience
Large scale Experiments on Fingerprint Liveness Detection
Large scale face identification by combined iconic features and 3D joint invariant signatures
Large scale feature selection using modified random mutation hill climbing
Large scale Fine-Grained Categorization and Domain-Specific Transfer Learning
large scale footstep database for biometric studies created using cross-biometrics for labelling, A
Large scale Gaussian Process for overlap-based object proposal scoring
Large scale Graph Based Network Forensics Analysis
Large scale Hard Sample Mining with Monte Carlo Tree Search
Large scale High-Resolution Land Cover Mapping With Multi-Resolution Data
Large scale Holistic Video Understanding
Large scale Holistic Video Understanding
Large scale Image Categorization in Sparse Nonparametric Bayesian Representation
Large scale Image Indexing Using Online Non-negative Semantic Embedding
Large scale image retrieval with visual groups
Large scale Image Search
Large scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction
Large scale Incremental Learning
Large scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset
Large scale Labelled Video Data Augmentation for Semantic Segmentation in Driving Scenarios
Large scale Landform Mapping Using Lidar DEM
Large scale learning and recognition of faces in web videos
Large scale Learning of Active Shape Models
Large scale Medical Image Search via Unsupervised PCA Hashing
Large scale metric learning from equivalence constraints
Large scale Models, City Scale Models, City Models
Large scale Models, City Scale Models, City Models
Large scale monitoring of crowds and building utilisation: A new database and distributed approach
Large scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination
Large scale Multi-View RGBD Visual Affordance Learning Dataset, A
Large scale Multi-View Stereo, Internet Scale, Many Views
Large scale Multi-View Stereo, Internet Scale, Many Views
Large scale Multi-view Stereopsis Evaluation
Large scale Multimodal Data Capture, Evaluation and Maintenance Framework for Autonomous Driving Datasets
Large scale Near-Duplicate Image Retrieval via Patch Embedding
Large scale Novel Object Discovery in 3D
Large scale object's measurement method research based on multi-view Reconstruction
Large scale on-line handwritten Chinese character recognition using successor method based on stochastic regular grammar
Large scale Online Learning of Image Similarity through Ranking
Large scale Page-Based Book Similarity Clustering
Large scale Palm Tree Detection in High Resolution Satellite Images Using U-Net
Large scale Real-World Multi-person Tracking
Large scale Retrieval and Generation of Image Descriptions
Large scale RGB-D Dataset for Action Recognition, A
Large scale Scene Matching for Graphics and Vision
Large scale Scene Text Verification with Guided Attention
Large scale Semantic Segmentation of Virtual Environments to Facilitate Corrosion Management
Large scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer
Large scale SfM with the Distributed Camera Model
Large scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs
Large scale Sketch Based Image Retrieval Using Patch Hashing
Large scale Specific Object Recognition by Using GIFTS Image Feature
Large scale Spectral Clustering Via Landmark-Based Sparse Representation
Large scale Stereo Vision
Large scale Subjective Video Quality Study
Large scale System for Searching and Browsing Images from the World Wide Web, A
Large scale Systems, Web-Scale System, Learning, Neural Nets
Large scale Systems, Web-Scale System, Learning, Neural Nets
Large scale Texture Mapping of Building Facades
Large scale Trajectory Dataset for Shopper Behaviour Understanding, A
Large scale Urban Reconstruction from Remote Sensing Imagery
Large scale Urban Scene Modeling from MVS Meshes
Large scale Vehicle Re-Identification by Knowledge Transfer from Simulated Data and Temporal Attention
Large scale Video Database
Large scale Video Representation Learning via Relational Graph Clustering
Large scale vision-based navigation without an accurate global reconstruction
Large scale Visual Commerce
Large scale Visual Food Recognition
Large scale Visual Geo-Localization of Images in Mountainous Terrain
Large scale visual-based event matching
Large visual words for large scale image classification
Large-scale 3D Object Recognition Dataset, A
Large-scale 3D Reconstruction from Multi-View Imagery: A Comprehensive Review
Large-scale 3D Reconstruction: A Triangulation-Based Approach
Large-scale 3D scene modeling by registration of laser range data with Google Maps images
Large-scale Accurate Reconstruction of Buildings Employing Point Clouds Generated from UAV Imagery
Large-scale Active Learning with Approximations of Expected Model Output Changes
Large-scale Aerial Image Categorization Using a Multitask Topological Codebook
Large-scale Aerial Image Interpretation Using A Redundant Semantic Classification
Large-scale Affective Content Analysis: Combining Media Content Features and Facial Reactions
Large-scale agricultural greenhouse extraction for remote sensing imagery based on layout attention network: A case study of China
Large-scale Analysis of Athletes' Cumulative Race Time in Running Events, A
Large-scale Analysis of Formations in Soccer
Large-scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region
Large-scale and adaptive service composition based on deep reinforcement learning
Large-scale and drift-free surface reconstruction using online subvolume registration
Large-scale and rotation-invariant template matching using adaptive radial ring code histograms
Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks, A
Large-scale Assessment of Coastal Aquaculture Ponds with Sentinel-1 Time Series Data
Large-scale Automatic Identification of Industrial Vacant Land
Large-scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data
Large-scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging
large-scale benchmark dataset for event recognition in surveillance video, A
Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications
Large-scale Biomass Classification in Boreal Forests With TanDEM-X Data
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Large-scale block adjustment without use of ground control points based on the compensation of geometric calibration for ZY-3 images
Large-scale building height retrieval from single SAR imagery based on bounding box regression networks
Large-scale Building Reconstruction Through Information Fusion and 3-D Priors
Large-scale Bundle Adjustment by Parameter Vector Partition
Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models
Large-scale Camera Network Topology Estimation by Lighting Variation
large-scale car dataset for fine-grained categorization and verification, A
large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation, A
Large-scale Clustering With Structured Optimal Bipartite Graph
Large-scale color holographic display capable of steering view window
Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection, A
Large-scale Concept Detection in Multimedia Data Using Small Training Sets and Cross-Domain Concept Fusion
Large-scale Content-Only Video Recommendation
Large-scale continual learning for ancient Chinese character recognition
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks
Large-scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids
Large-scale Cross-domain Few-shot Learning
Large-scale Cross-Modality Search via Collective Matrix Factorization Hashing
Large-scale Crowd Density Estimation Based on Effective Region Feature Extraction Method, The
Large-scale Crowdsourced Study for Tone-Mapped HDR Pictures
Large-scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference
Large-scale Crustal Deformation of the Tianshan Mountains, Xinjiang, from Sentinel-1 InSAR Observations (2015-2020)
Large-scale damage detection using satellite imagery
Large-scale Data for Multiple-View Stereopsis
Large-scale Database and a CNN Model for Attention-Based Glaucoma Detection, A
Large-scale Database for Chemical Structure Recognition and Preliminary Evaluation, A
Large-scale Database of Images and Captions for Automatic Face Naming, A
Large-scale Debris Cover Glacier Mapping Using Multisource Object-Based Image Analysis Approach
Large-scale Deep Learning Based Binary and Semantic Change Detection in Ultra High Resolution Remote Sensing Imagery: From Benchmark Datasets to Urban Application
Large-scale Deep-Learning Approach for Multi-Temporal Aqua and Salt-Culture Mapping, A
Large-scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning
Large-scale Detection of the Tableland Areas and Erosion-Vulnerable Hotspots on the Chinese Loess Plateau
Large-scale Dictionary Learning for Local Coordinate Coding
large-scale diffractive glasses-free 3D display, A
Large-scale Discovery of Spatially Related Images
Large-scale Distance Metric Learning with Uncertainty
Large-scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks
Large-scale document image retrieval and classification with runlength histograms and binary embeddings
Large-scale Ecological Analyses of Animals in the Wild Using Computer Vision
Large-scale eigenvector approximation via Hilbert Space Embedding Nystrom
Large-scale EMM identification based on geometry-constrained visual word correspondence voting
Large-scale Estimation of Hourly Surface Air Temperature Based on Observations from the FY-4A Geostationary Satellite
Large-scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems
Large-scale event detection using semi-hidden markov models
Large-scale Face Recognition on Smart Devices
Large-scale Facial Expression Recognition Using Dual-Domain Affect Fusion for Noisy Labels
Large-scale failures of f- scaling in natural image spectra
Large-scale Fashion (DeepFashion) Dataset
Large-scale feature matching with distributed and heterogeneous computing
Large-scale Feature Selection
Large-scale Few-shot Learning via Multi-modal Knowledge Discovery
Large-scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy
Large-scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials
Large-scale Fine-Grained Food AnalysIs
Large-scale Frontal Vehicle Image Dataset for Fine-Grained Vehicle Categorization, A
Large-scale functional models of visual cortex for remote sensing
Large-scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels
Large-scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks
Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition
Large-scale geo-facial image analysis
Large-scale geo-tagged video indexing and queries
Large-scale Geosocial Multimedia
Large-scale Geospatial Indexing for Image-Based Retrieval and Analysis
Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model
Large-scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model
Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model
Large-scale Graph Indexing Using Binary Embeddings of Node Contexts
Large-scale graph indexing using binary embeddings of node contexts for information spotting in document image databases
Large-scale Graph Visualization and Analytics
Large-scale High-Resolution Modeling of Microwave Radiance of a Deep Maritime Alpine Snowpack
Large-scale Historical Watermark Recognition: dataset and a new consistency-based approach
Large-scale Homography Benchmark, A
Large-scale image and video search: Challenges, technologies, and trends
Large-scale Image Annotation by Efficient and Robust Kernel Metric Learning
Large-scale image annotation using visual synset
Large-scale image categorization with explicit data embedding
Large-scale image classification using supervised spatial encoder
Large-scale image classification with trace-norm regularization
Large-scale image classification: Fast feature extraction and SVM training
Large-scale Image Geo-Localization Using Dominant Sets
Large-scale Image Mining with Flickr Groups
Large-scale Image Phylogeny: Tracing Image Ancestral Relationships
Large-scale Image Retrieval Based on Compressed Camera Identification
Large-scale Image Retrieval Using Local Binary Patterns and Iterative Quantization
Large-scale image retrieval using transductive support vector machines
Large-scale Image Retrieval with Attentive Deep Local Features
Large-scale image retrieval with compressed Fisher vectors
Large-scale Impervious Surface Area Mapping and Pattern Evolution of the Yellow River Delta Using Sentinel-1/2 on the GEE
Large-scale implementation of floating car data monitoring road friction
Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach
Large-scale Indoor/Outdoor Image Classification via Expert Decision Fusion (EDF)
Large-scale infographic image downsizing
Large-scale Interactive Object Segmentation With Human Annotators
Large-scale Invariant Matching Method Based on DeepSpace-ScaleNet for Small Celestial Body Exploration, A
Large-scale Isolated Gesture Recognition Using a Refined Fused Model Based on Masked Res-C3D Network and Skeleton LSTM
Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks
Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks
Large-scale knowledge transfer for object localization in ImageNet
Large-scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation
Large-scale Land Deformation Monitoring over Southern California with Multi-Path SAR Data
Large-scale Land Subsidence Monitoring and Prediction Based on SBAS-InSAR Technology with Time-Series Sentinel-1A Satellite Data
Large-scale learning for media understanding
Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences)
Large-scale Learning with SVM and Convolutional for Generic Object Categorization
Large-scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Large-scale Localization Datasets in Crowded Indoor Spaces
Large-scale Location Recognition and the Geometric Burstiness Problem
Large-scale Long-Tailed Recognition in an Open World
Large-scale Low-Rank Matrix Learning with Nonconvex Regularizers
Large-scale L_0-Norm and L_1-Norm 2-D Phase Unwrapping
Large-scale Maintenance and Rehabilitation Optimization for Multi-Lane Highway Asphalt Pavement: A Reinforcement Learning Approach
Large-scale manifold learning
Large-scale Manifold Learning Approach for Brain Tumor Progression Prediction, A
Large-scale Many-Objective Deployment Optimization of Edge Servers
Large-scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks
Large-scale Mapping of Tree Species and Dead Trees in sumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery
Large-scale measurement experiments of P2P-TV systems insights on fairness and locality
Large-scale Micro-Blog Authorship Attribution: Beyond Simple Feature Engineering
Large-scale Mining, Discovery and Visualization of WWW User Clickpaths
Large-scale Mobile-Based Analysis for National Travel Demand Modeling
Large-scale Mode Impacts on the Sea Level over the Red Sea and Gulf of Aden
Large-scale Modeling of Parametric Surfaces Using Spherical Harmonics
Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation
Large-scale Monitoring of Glacier Surges by Integrating High-Temporal- and -Spatial-Resolution Satellite Observations: A Case Study in the Karakoram
Large-scale monocular SLAM by local bundle adjustment and map joining
Large-scale Multi-Fleet Platoon Coordination: A Dynamic Programming Approach
Large-scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar, A
Large-scale multi-label classification using unknown streaming images
Large-scale Multi-resolution Surface Reconstruction from RGB-D Sequences
Large-scale Multi-View Clustering via Fast Essential Subspace Representation Learning
Large-scale Multibaseline Phase Unwrapping: Interferogram Segmentation Based on Multibaseline Envelope-Sparsity Theorem
Large-scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex
Large-scale Multimedia Retrieval and Mining
Large-scale Multimodal Gesture Recognition Using Heterogeneous Networks
Large-scale Multimodal Gesture Segmentation and Recognition Based on Convolutional Neural Networks
Large-scale Multiple-Objective Method for Black-box Attack Against Object Detection, A
Large-scale multiview 3D hand pose dataset
Large-scale music exploration in hierarchically organized landscapes using prototypicality information
Large-scale Mussel Farm Reconstruction with GPS Auxiliary
Large-scale near-duplicate image retrieval by kernel density estimation
Large-scale Near-Duplicate Web Video Retrieval: Challenges and Approaches
Large-scale Network Construction and Lightweighting Method for Point Cloud Semantic Segmentation, A
Large-scale Nonlinear AUC Maximization via Triply Stochastic Gradients
Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine
Large-scale Object Classification Using Label Relation Graphs
Large-scale Object Detection in the Wild From Imbalanced Multi-Labels
Large-scale Oceanic Variability Associated with the Madden-Julian Oscillation during the CINDY/DYNAMO Field Campaign from Satellite Observations
Large-scale Oil Palm Tree Detection from High-Resolution Satellite Images Using Two-Stage Convolutional Neural Networks
Large-scale Open-Set Classification Protocols for ImageNet
Large-scale Open-Source Acoustic Simulator for Speaker Recognition, A
Large-scale Optimal Sensor Array Management for Multitarget Tracking
Large-scale Optimization Method Using a Sparse Approximation of the Hessian for Magnetic Resonance Fingerprinting, A
Large-scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
Large-scale outdoor 3D reconstruction on a mobile device
Large-scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction, A
Large-scale Parallel Data Clustering
Large-scale Particle Image Velocimetry to Measure Streamflow from Videos Recorded from Unmanned Aerial Vehicle and Fixed Imaging System
Large-scale Person Detection and Localization using Overhead Fisheye Cameras
Large-scale Planar Block Adjustment of GaoFen1 WFV Images Covering Most of Mainland China
Large-scale point cloud contour extraction via 3D guided multi-conditional generative adversarial network
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Populus euphratica Distribution Mapping Using Time-Series Sentinel-1/2 Data in Google Earth Engine
Large-scale Pre-training for Person Re-identification with Noisy Labels
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-art Baseline
Large-scale privacy protection in Google Street View
Large-scale Product Classification via Spatial Attention Based CNN Learning and Multi-class Regression
Large-scale R-CNN with Classifier Adaptive Quantization
large-scale remote sensing database for subjective and objective quality assessment of pansharpened images, A
Large-scale Remote Sensing Image Retrieval Based on Semi-Supervised Adversarial Hashing
Large-scale Remote Sensing Image Retrieval by Deep Hashing Neural Networks
Large-scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data
Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model
Large-scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series
Large-scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery
Large-scale road detection in forested mountainous areas using airborne topographic lidar data
Large-scale road extraction from high-resolution remote sensing images based on a weakly-supervised structural and orientational consistency constraint network
Large-scale road safety evaluation using extreme value theory
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Large-scale Robust Semisupervised Classification
Large-scale Robustness Analysis of Video Action Recognition Models, A
Large-scale scene image categorisation with deep learning-based model
Large-scale scene reconstruction using periscopic stereo
Large-scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling
Large-scale semantic co-labeling of image sets
Large-scale Semantic Scene Understanding with Cross-Correction Representation
Large-scale Signature Matching Using Multi-stage Hashing
Large-scale Similarity-Based Join Processing in Multimedia Databases
Large-scale Simulation Studies in Image Pattern Recognition
Large-scale Situation Awareness With Camera Networks and Multimodal Sensing
large-scale solar image dataset with labeled event regions, A
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 Spatio-Temporal Person Re-Identification: Algorithms and Benchmark
Large-scale Station-Level Crowd Flow Forecast with ST-Unet
Large-scale Stereo Display Wall Using Programmable Graphics Hardware
Large-scale Stereo for Improvement of 3D Measurement Accuracy in Gaze-Observation
Large-scale Study of Perceptual Video Quality
Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition, A
Large-scale Study on Unsupervised Spatiotemporal Representation Learning, A
Large-scale Subsidence Geohazard Monitoring with Sentinel-1 SAR Interferometry In Central Lishui (China)
Large-scale SUMO-Based Emulation Platform, A
Large-scale Surface Deformation Monitoring Using SBAS-InSAR and Intelligent Prediction in Typical Cities of Yangtze River Delta
Large-scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination, A
Large-scale Tag-Based Font Retrieval With Generative Feature Learning
Large-scale Tattoo Image Retrieval
Large-scale three-dimensional measurement based on LED marker tracking
Large-scale Tracking for Images With Few Textures
Large-scale Training Data Search for Object Re-identification
Large-scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples
Large-scale TV Dataset for Partial Video Copy Detection, A
Large-scale Unsupervised Semantic Segmentation
Large-scale urban environment modeling from videos using image content segmentation and alignment
Large-scale Urban Heating and Pollution Domes over the Indian Subcontinent
Large-scale Urban Modeling by Combining Ground Level Panoramic and Aerial Imagery
Large-scale Urban Multiple-Modal Transport Evacuation Model for Mass Gathering Events Considering Pedestrian and Public Transit System
Large-scale urban point cloud labeling and reconstruction
Large-scale Urban Reconstruction with Tensor Clustering and Global Boundary Refinement
Large-scale vehicle detection in challenging urban surveillance environments
Large-scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos
Large-scale Video Classification with Convolutional Neural Networks
Large-scale Video Classification with Feature Space Augmentation Coupled with Learned Label Relations and Ensembling
Large-scale video event classification using dynamic temporal pyramid matching of visual semantics
Large-scale Video Hashing via Structure Learning
Large-scale Video Panoptic Segmentation in the Wild: A Benchmark
Large-scale Video Retrieval Using Image Queries
Large-scale Video Search and Mining
Large-scale Video Summarization Using Web-Image Priors
Large-scale Virtual Dataset and Egocentric Localization for Disaster Responses, A
Large-scale Visual Font Recognition
Large-scale vocabularies with local graph diffusion and mode seeking
Large-scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case-Study
Large-scale Weakly Supervised Object Localization via Latent Category Learning
Large-scale Weakly-Supervised Pre-Training for Video Action Recognition
Large-scale web video event classification by use of Fisher Vectors
Large-scale WSNs Resource Scheduling Algorithm in Smart Transportation Monitoring Based on Differential Ion Coevolution and Multi-Objective Decomposition
Large-scale, dense city reconstruction from user-contributed photos
Large-scale, High-Resolution Mapping of Soil Aggregate Stability in Croplands Using APEX Hyperspectral Imagery
Large-scale, Metric Structure From Motion for Unordered Light Fields
Large-scale, Multi-Temporal Remote Sensing of Palaeo-River Networks: A Case Study from Northwest India and its Implications for the Indus Civilisation
Large-scale, Multiple Level-of-Detail Change Detection from Remote Sensing Imagery Using Deep Visual Feature Clustering
Large-scale, Time-Synchronized Visible and Thermal Face Dataset, A
large-to-fine-scale shape prior for probabilistic segmentations using a deformable m-rep, A
LASDU: A Large-scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas
LasHeR: A Large-scale High-Diversity Benchmark for RGBT Tracking
LaSOT: A High-Quality Benchmark for Large-scale Single Object Tracking
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Latent Task Adaptation with Large-scale Hierarchies
Lattice-Based Minimal Gray-scale Switching Algorithm for Obtaining the Optimal Increasing Filter from the Optimal Filter, A
LCIF-Net: Local criss-cross attention based optical flow method using multi-scale image features and feature pyramid
LCSegNet: An Efficient Semantic Segmentation Network for Large-scale Complex Chinese Character Recognition
Leader-Based Multi-scale Attention Deep Architecture for Person Re-Identification
Learn to scale: Generating Multipolar Normalized Density Maps for Crowd Counting
Learned Image Compression with Multi-scale Spatial and Contextual Information Fusion
Learned Resolution Scaling Powered Gaming-as-a-Service at scale
Learned scale-Arbitrary Image Downscaling for Non-Learnable Upscaling
Learning a Deep Multi-scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion
Learning a Dynamic High-Resolution Network for Multi-scale Pedestrian Detection
Learning a scale-and-rotation correlation filter for robust visual tracking
Learning A Single Network for scale-Arbitrary Super-Resolution
Learning auto-scale representations for person re-identification
Learning Background Subtraction by Video Synthesis and Multi-scale Recurrent Networks
Learning Balanced Trees for Large scale Image Classification
Learning Compact Visual Attributes for Large-scale Image Classification
Learning complex background by multi-scale discriminative model
Learning complex image patterns with scale and Shift Invariant Sparse Coding
Learning Cross Space Mapping via DNN Using Large scale Click-Through Logs
Learning Cross-scale Weighted Prediction for Efficient Neural Video Compression
Learning deep cross-scale feature propagation for indoor semantic segmentation
Learning Deep Descriptors with scale-Aware Triplet Networks
Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild
Learning Deep Local Features with Multiple Dynamic Attentions for Large-scale Image Retrieval
Learning Deep Representation with Large-scale Attributes
Learning Discrete Representations From Reference Images for Large scale Factor Image Super-Resolution
Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval
Learning Dual Multi-scale Manifold Ranking for Semantic Segmentation of High-Resolution Images
Learning Enhanced Acoustic Latent Representation for Small scale Affective Corpus with Adversarial Cross Corpora Integration
Learning From Large-scale Noisy Web Data With Ubiquitous Reweighting for Image Classification
Learning from Millions of 3D Scans for Large-scale 3D Face Recognition
Learning from Noisy Large-scale Datasets with Minimal Supervision
Learning from scale-invariant Examples for Domain Adaptation in Semantic Segmentation
Learning from Video and Text via Large-scale Discriminative Clustering
Learning Generalisable Omni-scale Representations for Person Re-Identification
Learning Generic Invariances in Object Recognition: Translation and scale
Learning global image representation with generalized-mean pooling and smoothed average precision for large-scale CBIR
Learning Higher-order Transition Models in Medium-scale Camera Networks
Learning image Vicept description via mixed-norm regularization for large scale semantic image search
Learning Instance-Level Representation for Large-scale Multi-Modal Pretraining in E-Commerce
Learning Large-scale Automatic Image Colorization
Learning Lightweight Multi-scale Feedback Residual Network for Single Image Super-Resolution
Learning linear parameter-varying control of small-scale helicopter using episodic natural actor-critic method
Learning Long-range Information with Dual-scale Transformers for Indoor Scene Completion
Learning Multi-feature Based Spatially Regularized and scale Adaptive Correlation Filters for Visual Tracking
Learning multi-layer coarse-to-fine representations for large-scale image classification
Learning Multi-scale Block Local Binary Patterns for Face Recognition
Learning Multi-scale Features for JPEG Image Artifacts Removal
Learning Multi-scale Photo Exposure Correction
Learning Multi-scale Representations for Material Classification
Learning Multi-scale Representations with Single-stream Network for Video Retrieval
Learning multi-scale sparse representation for visual tracking
Learning multi-scale synergic discriminative features for prostate image segmentation
Learning Multi-View Aggregation In the Wild for Large-scale 3D Semantic Segmentation
Learning Multiple Pixelwise Tasks Based on Loss scale Balancing
Learning natural scene categories by selective multi-scale feature extraction
Learning Neural Bag-of-Features for Large-scale Image Retrieval
Learning Object scale with Click Supervision for Object Detection
Learning Optical Expansion from scale Matching
Learning Over Multiple Temporal scales in Image Databases
Learning Parallel Canonical Correlations for scale-Adaptive Low Resolution Face Recognition
Learning Query-Specific Distance Functions for Large-scale Web Image Search
Learning Quintuplet Loss for Large-scale Visual Geolocalization
Learning Regularized, Query-Dependent Bilinear Similarities for Large scale Image Retrieval
Learning Residue-Aware Correlation Filters and Refining scale Estimates with the GrabCut for Real-Time UAV Tracking
Learning residue-aware correlation filters and refining scale for real-time UAV tracking
Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images
Learning scale awareness in keypoint extraction and description
Learning scale ranges for the extraction of regions of interest
Learning scale-Adaptive Representations for Point-Level LiDAR Semantic Segmentation
Learning scale-Consistent Attention Part Network for Fine-Grained Image Recognition
Learning scale-variant and scale-invariant features for deep image classification
Learning scale-variant and scale-invariant features for deep image classification
Learning Semantic Alignment Using Global Features and Multi-scale Confidence
Learning semantic embedding at a large scale
Learning Semantic Segmentation of Large-scale Point Clouds With Random Sampling
Learning Semantics for Visual Place Recognition Through Multi-scale Attention
Learning Short Binary Codes for Large-scale Image Retrieval
Learning Soft Estimator of Keypoint scale and Orientation with Probabilistic Covariant Loss
Learning spectral-spatial representations from VHR images for fine-scale crop type mapping: A case study of rice-crayfish field extraction in South China
Learning to Associate Words and Images Using a Large-scale Graph
Learning to detect concepts with Approximate Laplacian Eigenmaps in large-scale and online settings
Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large scale Image Retrieval
Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images
Learning to Index in Large-scale Datasets
Learning to Infer Public Emotions from Large-scale Networked Voice Data
Learning to Joint Remosaic and Denoise in Quad Bayer CFA via Universal Multi-scale Channel Attention Network
Learning to Match Images in Large-scale Collections
Learning to Reduce scale Differences for Large-Scale Invariant Image Matching
Learning to Reduce scale Differences for Large-Scale Invariant Image Matching
Learning to resolve uncertainties for large-scale face recognition
Learning to scale Multilingual Representations for Vision-Language Tasks
Learning to Segment From Scribbles Using Multi-scale Adversarial Attention Gates
Learning transformer-based attention region with multiple scales for occluded person re-identification
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at scale
Let There Be Color! Large-scale Texturing of 3D Reconstructions
Level Playing Field for Million scale Face Recognition
Level set framework based on local scalable Gaussian distribution and adaptive-scale operator for accurate image segmentation and correction
Level Set Segmentation of Brain Matter Using a Trans-Roto-scale Invariant High Dimensional Feature
Levellings based on spatially adaptive scale spaces using local image features
Leveraging Deep Neural Networks to Map Caribou Lichen in High-Resolution Satellite Images Based on a Small-scale, Noisy UAV-Derived Map
Leveraging Large-scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms
Leveraging local neighborhood topology for large scale person re-identification
Leveraging Multi scale Backbone with Multilevel supervision for Thermal Image Super Resolution
Leveraging TLS as a Calibration and Validation Tool for MLS and ULS Mapping of Savanna Structure and Biomass at Landscape-scales
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-scale Image-Text Sparse Retrieval
Lidar Aboveground Vegetation Biomass Estimates in Shrublands: Prediction, Uncertainties and Application to Coarser scales
Lifecycle Management, Monitoring and Assessment for Safe Large-scale Infrastructures: Challenges and Needs
LiFF: Light Field Features in scale and Depth
Light Field FDL-HCGH Feature in scale-Disparity Space, A
Light Field FDL-HSIFT Feature in scale-Disparity Space, A
Light Field Rendering for Large-scale Scenes
Light Field scale-Depth Space Transform for Dense Depth Estimation
Light Field Surface Feature and Spherical Descriptor in the Surface scale Space
Light Space Cascaded Shadow Maps for Large scale Dynamic Environments
light-weight stereo matching network based on multi-scale features fusion and robust disparity refinement, A
Lighter and Faster Cross-Concatenated Multi-scale Residual Block Based Network for Visual Saliency Prediction
Lightness scale from Image Intensity Distributions, A
Lightweight Deep Deblurring Model with Discriminative Multi-scale Feature Fusion
lightweight methodology of 3D printed objects utilizing multi-scale porous structures, A
lightweight multi-scale aggregated model for detecting aerial images captured by UAVs, A
Lightweight multi-scale attention-guided network for real-time semantic segmentation
Lightweight Multi-scale Context Network for Salient Object Detection in Optical Remote Sensing Images, A
Lightweight multi-scale convolutional neural network for real time stereo matching
Lightweight Underwater Object Detection Based on YOLO v4 and Multi-scale Attentional Feature Fusion
Limits of Predictability for Large-scale Urban Vehicular Mobility
Line detection discrete scale-space
Line Enhancement and Completion via Linear Left Invariant scale Spaces on SE(2)
Line segment extraction for large scale unorganized point clouds
Linear scale and Rotation Invariant Matching
Linear scale-Space
Linear scale-Space has First been Proposed in Japan
Linear scale-Space I: Basic Theory
Linear scale-Space II: Early Visual Operators
Linear scale-Space Theory for Continuous Nonlocal Evolutions, A
Linear scale-Space Theory from Physical Principles
Linear solution to scale and rotation invariant object matching
Linear solution to scale invariant global figure ground separation
Linear Spatio-Temporal scale-Space
Lip Reading from scale-Space Measurements
Lip Segmentation under MAP-MRF Framework with Automatic Selection of Local Observation scale and Number of Segments
LIRE Request Handler: A Solr Plug-In for Large scale Content Based Image Retrieval, The
Lisnet: A Covid-19 Lung Infection Segmentation Network Based on Edge Supervision and Multi-scale Context Aggregation
Lite DETR: An Interleaved Multi-scale Encoder for Efficient DETR
Liver Tumor Detection Via A Multi-scale Intermediate Multi-Modal Fusion Network on MRI Images
Lizard: A Large-scale Dataset for Colonic Nuclear Instance Segmentation and Classification
LMR: A Large-scale Multi-Reference Dataset for Reference-based Super-Resolution
LMSA-Net: A lightweight multi-scale aware network for retinal vessel segmentation
LMSD-YOLO: A Lightweight YOLO Algorithm for Multi-scale SAR Ship Detection
Local and Multilocal scale-Space Description
Local Appropriate scale in Morphological Scale-Space
Local Appropriate scale in Morphological Scale-Space
Local Bag-of-Features Model for Large-scale Object Retrieval, A
Local climate zone classification using a multi-scale, multi-level attention network
Local contour descriptors around scale-invariant keypoints
Local Decomposition of Gray-scale Morphological Templates
Local Feature Based Multiple Object Instance Identification Using scale and Rotation Invariant Implicit Shape Model
Local feature extraction for iris recognition with automatic scale selection
Local Implicit Normalizing Flow for Arbitrary-scale Image Super-Resolution
Local Maximum Density Approach for Small-scale Clustering of Urban Taxi Stops
Local Multi-scale Feature Aggregation Network for Real-Time Image Dehazing
local Rayleigh model with spatial scale selection for ultrasound image segmentation, A
Local Regularity-Driven City-scale Facade Detection from Aerial Images
Local scale (3-m) Soil Moisture Mapping Using SMAP and Planet SuperDove
Local scale Control for Edge Detection and Blur Estimation
Local scale Controlled Anisotropic Diffusion with Local Noise Estimate for Image Smoothing and Edge Detection
Local scale Measure for Remote Sensing Images
Local scale Selection for Gaussian Based Description Techniques
Local scale Selection Scheme for Multiscale Area Integral Invariants, A
Local Statistic Based Region Segmentation with Automatic scale Selection
Local to Global with Multi-scale Attention Network for Person Re-Identification
Local to non-local: Multi-scale progressive attention network for image restoration
Local- and Regional-scale Forcing of Glacier Mass Balance Changes in the Swiss Alps
Local-scale flood mapping on vegetated floodplains from radiometrically calibrated airborne LiDAR data
Local-scale Horizontal CO2 Flux Estimation Incorporating Differential Absorption Lidar and Coherent Doppler Wind Lidar
Locality-sensitive hashing for region-based large-scale image indexing
Localization accuracy of interest point detectors with different scale space representations
Localization of Dominant Points for Object Recognition: A scale-Space Approach
Localization of Drosophila embryos using connected components in scale space
Localization scale Selection for Scale-Space Segmentation
Localization scale Selection for Scale-Space Segmentation
Localized curvature-based combinatorial subgraph sampling for large-scale graphs
Localized image watermarking based on feature points of scale-space representation
Locally Rotation, Contrast, and scale Invariant Descriptors for Texture Analysis
Locating Large-scale Craniofacial Feature Points on X-ray Images for Automated Cephalometric Analysis
Locating multiple license plates using scale, rotation, and colour-independent clustering and filtering techniques
location-aware scale-space method for salient object detection, A
LoG Characteristic scale: A Consistent Measurement of Lung Nodule Size in CT Imaging, The
Log-polar wavelet energy signatures for rotation and scale invariant texture classification
Logic Gate Implementation for Gray-scale Morphology
LOH and Behold: Web-scale Visual Search, Recommendation and Clustering Using Locally Optimized Hashing
LoL-V2T: Large-scale Esports Video Description Dataset
Long Range Pooling for 3D Large-scale Scene Understanding
Long Short-Term Memory Model with Multi-scale Context Fusion and Attention for Radar Echo Extrapolation, An
Looking at Pedestrians at Different scales: A Multiresolution Approach and Evaluations
Looking from a Higher-level Perspective: Attention and Recognition Enhanced Multi-scale Scene Text Segmentation
Loop Removal from Colon Central Path Through Skeleton scale-Space Tracking
Loose-gray-scale template matching
Loss reweight in scale dimension: A simple while effective feature selection strategy for anchor-free detectors
Lossless Compression of Segmented CT Medical Images According to the Hounsfield scale
Lossless Image Compression Using a Multi-scale Progressive Statistical Model
Lossy and lossless image encoding using multi-scale recurrent pattern matching
Lost in quantization: Improving particular object retrieval in large scale image databases
Low-Complexity Joint Antenna Tilting and User Scheduling for Large-scale ZF Relaying
Low-Cost and Scalable Framework to Build Large-scale Localization Benchmark for Augmented Reality, A
Low-Cost, Easy-Way Workflow for Multi-scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography, A
Low-Dimensional Models for Compressed Sensing and Prediction of Large-scale Traffic Data
Low-Light Image Enhancement With Multi-scale Attention and Frequency-Domain Optimization
Low-Rank Hypergraph Hashing for Large-scale Remote Sensing Image Retrieval
Low-Rank Tensor Approximation with Laplacian scale Mixture Modeling for Multiframe Image Denoising
Low-Shot Learning with Large-scale Diffusion
Lp Norm Relaxation Approach for Large scale Data Analysis: A Review
LP-Norm IDF for Large scale Image Search
LPD-Net: 3D Point Cloud Learning for Large-scale Place Recognition and Environment Analysis
LPMSNet: Location Pooling Multi-scale Network for Cloud and Cloud Shadow Segmentation
LRTransDet: A Real-Time SAR Ship-Detection Network with Lightweight ViT and Multi-scale Feature Fusion
LS-HDIB: A Large scale Handwritten Document Image Binarization Dataset
LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-scale Sentinel-1 SAR Images
LSCIDMR: Large-scale Satellite Cloud Image Database for Meteorological Research
LSD-SLAM: Large-scale Direct Monocular SLAM
LSDIR: A Large scale Dataset for Image Restoration
LSH-based semantic dictionary learning for large scale image understanding
LSV-LP: Large-scale Video-Based License Plate Detection and Recognition
LUCFER: A Large-scale Context-Sensitive Image Dataset for Deep Learning of Visual Emotions
Lung segmentation based on random forest and multi-scale edge detection
M-Estimators of Roughness and scale for GA0-Modelled SAR Imagery
M2-Net: A Multi-scale Multi-level Feature Enhanced Network for Object Detection in Optical Remote Sensing Images
M2DAR: Multi-View Multi-scale Driver Action Recognition with Vision Transformer
M2RNet: Multi-modal and multi-scale refined network for RGB-D salient object detection
M3 CSR: Multi-view, multi-scale and multi-component cascade shape regression
M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
M3LH: Multi-modal Multi-label Hashing for Large scale Data Search
M3NAS: Multi-scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising
M3TTS: Multi-modal text-to-speech of multi-scale style control for dubbing
M6Doc: A Large-scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis
MA-CRNN: a multi-scale attention CRNN for Chinese text line recognition in natural scenes
Macadamia Orchard Planting Year and Area Estimation at a National scale
Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial scales Using MODIS Surface Reflectance Data, A
Machine learning techniques for regional scale estimation of high-resolution cloud-free daily sea surface temperatures from MODIS data
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams
Macular OCT Classification Using a Multi-scale Convolutional Neural Network Ensemble
MADNet 2.0: Pixel-scale Topography Retrieval from Single-View Orbital Imagery of Mars Using Deep Learning
MAELi: Masked Autoencoder for Large-scale LiDAR Point Clouds
MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-scale Convex Composite Minimization
MagnifierNet: Learning Efficient Small-scale Pedestrian Detector towards Multiple Dense Regions
Make It Simple: Effective Road Selection for Small-scale Map Design Using Decision-Tree-Based Models
Make-An-Animation: Large-scale Text-conditional 3D Human Motion Generation
Makeup Style Transfer on Low-quality Images with Weighted Multi-scale Attention
MAMA Net: Multi-scale Attention Memory Autoencoder Network for Anomaly Detection
MAML-SR: Self-adaptive super-resolution networks via multi-scale optimized attention-aware meta-learning
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding
Managing and Searching Distributed Multidimensional Annotations with Large scale Image Data
Mango Yield Mapping at the Orchard scale Based on Tree Structure and Land Cover Assessed by UAV
Manifold Kernel Metric Learning for Larger-scale Image Annotation
Many-to-Many Matching of scale-Space Feature Hierarchies Using Metric Embedding
MAP Estimation of Finite Gray-scale Digital Images Corrupted by Supremum/Infimum Noise
MAP Model for Large-scale 3D Reconstruction and Coarse Matching for Unordered Wide-baseline Photos
Map of Land Cover Agreement: Ensambling Existing Datasets for Large-scale Training Data Provision
MAP Visibility Estimation for Large-scale Dynamic 3D Reconstruction
MAP-Inference on Large scale Higher-Order Discrete Graphical Models by Fusion Moves
Mapillary Planet-scale Depth Dataset
Mapillary Traffic Sign Dataset for Detection and Classification on a Global scale, The
MAPoseNet: Animal pose estimation network via multi-scale convolutional attention
Mapping Above-Ground Biomass of Winter Oilseed Rape Using High Spatial Resolution Satellite Data at Parcel scale under Waterlogging Conditions
Mapping and Monitoring Small-scale Mining Activities in Ghana using Sentinel-1 Time Series (2015-2019)
Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
Mapping Cropping Practices on a National scale Using Intra-Annual Landsat Time Series Binning
Mapping Daily Evapotranspiration at Field scale Using the Harmonized Landsat and Sentinel-2 Dataset, with Sharpened VIIRS as a Sentinel-2 Thermal Proxy
Mapping Field-scale Soil Moisture With L-Band Radiometer and Ground-Penetrating Radar Over Bare Soil
Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine
Mapping Fine-scale Urban Spatial Population Distribution Based on High-Resolution Stereo Pair Images, Points of Interest, and Land Cover Data
Mapping Forest Type and Tree Species on a Regional scale Using Multi-Temporal Sentinel-2 Data
Mapping Freshwater Chlorophyll-a Concentrations at a Regional scale Integrating Multi-Sensor Satellite Observations with Google Earth Engine
Mapping Irrigated Lands at 250-m scale by Merging MODIS Data and National Agricultural Statistics
Mapping Kenyan Grassland Heights Across Large Spatial scales with Combined Optical and Radar Satellite Imagery
Mapping Large-scale Bamboo Forest Based on Phenology and Morphology Features
Mapping Large-scale Forest Disturbance Types with Multi-Temporal CNN Framework
Mapping Large-scale Mangroves along the Maritime Silk Road from 1990 to 2015 Using a Novel Deep Learning Model and Landsat Data
Mapping Large-scale Plateau Forest in Sanjiangyuan Using High-Resolution Satellite Imagery and Few-Shot Learning
Mapping Maize Evapotranspiration at Field scale Using SEBAL: A Comparison with the FAO Method and Soil-Plant Model Simulations
Mapping National-scale Croplands in Pakistan by Combining Dynamic Time Warping Algorithm and Density-Based Spatial Clustering of Applications with Noise
Mapping of Aedes albopictus Abundance at a Local scale in Italy
Mapping of Coastal Cities Using Optimized Spectral-Spatial Features Based Multi-scale Superpixel Classification
Mapping of Intrusive Complex on a Small scale Using Multi-Source Remote Sensing Images
Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach
Mapping Savanna Tree Species at Ecosystem scales Using Support Vector Machine Classification and BRDF Correction on Airborne Hyperspectral and LiDAR Data
Mapping Seasonal Tree Canopy Cover and Leaf Area Using Worldview-2/3 Satellite Imagery: A Megacity-scale Case Study in Tokyo Urban Area
Mapping Small-scale Irrigation Areas Using Expert Decision Rules and the Random Forest Classifier in Northern Ethiopia
Mapping Small-scale Willow Crops and Their Health Status Using Sentinel-2 Images in Complex Agricultural Areas
Mapping Smallholder Yield Heterogeneity at Multiple scales in Eastern Africa
Mapping Spatial Distribution of Larch Plantations from Multi-Seasonal Landsat-8 OLI Imagery and Multi-scale Textures Using Random Forests
Mapping Species at an Individual-Tree scale in a Temperate Forest, Using Sentinel-2 Images, Airborne Laser Scanning Data, and Random Forest Classification
Mapping Surface Flow Velocity of Glaciers at Regional scale Using a Multiple Sensors Approach
Mapping the height and spatial cover of features beneath the forest canopy at small-scales using airborne scanning discrete return Lidar
Mapping the Potential for Biofuel Production on Marginal Lands: Differences in Definitions, Data and Models across scales
Mapping Urban Extent at Large Spatial scales Using Machine Learning Methods with VIIRS Nighttime Light and MODIS Daytime NDVI Data
MapReduce-based artificial bee colony for large-scale data clustering, A
Marine Heatwaves in the South China Sea: Tempo-Spatial Pattern and Its Association with Large-scale Circulation
Maritime Semantic Labeling of Optical Remote Sensing Images with Multi-scale Fully Convolutional Network
Markov Random Field Approach to Multi-scale Shape Analysis, A
Markov Random Fields with Short- and Long-Range Interaction for Modelling Gray-scale Textured Images
MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling
MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large scale Scene Reconstruction
MARS: A Video Benchmark for Large-scale Person Re-Identification
MARVEL: A Large-scale Image Dataset for Maritime Vessels
MASC-Net: Multi-scale Anisotropic Sparse Convolutional Network for Sparse Depth Densification
Masked Autoencoding Does Not Help Natural Language Supervision at scale
Masked Image Modeling with Local Multi-scale Reconstruction
Massive City-scale Surface Condition Analysis Using Ground and Aerial Imagery
Massive-scale Genre Communities Learning Using a Noise-Tolerant Deep Architecture
Massive-scale image retrieval based on deep visual feature representation
Massive-scale visual information retrieval towards city residential environment surveillance
Mastering map scale: balancing workloads using display and geometry change in multi-scale mapping
Mastering map scale: balancing workloads using display and geometry change in multi-scale mapping
Matching Deformable Features Based on Oriented Multi-scale Filter Banks
Matching Motion Trajectories Using scale-Space
Matching Occluded Objects Invariant to Rotations, Translations, Reflections, and scale Changes
Matching pursuit-based shape representation and recognition using scale-space
Matching scale-space features in 1D panoramas
Matching: Invariant to Translations, Rotations, and scale Changes
Materials Classification Using Sparse Gray-scale Bidirectional Reflectance Measurements
Matrix-Based Structure for Vario-scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data, A
Matrix-Based Structure for Vario-scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data, A
MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond
MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond
MATTE: Multi-task multi-scale attention
Maximal scale Ridge: Incorporating scale into the ridge definition, The
Maximal scale Ridge: Incorporating scale into the ridge definition, The
Maximally Stable Local Description for scale Selection
Maximum likelihood estimation of vessel parameters from scale space analysis
Mbb: A Multi-scale Method for Data Based on Bit Plane Slicing
MBMF: Constructing memory banks of multi-scale features for anomaly detection
MC-GCN: A Multi-scale Contrastive Graph Convolutional Network for Unconstrained Face Recognition With Image Sets
MCDAN: A Multi-scale Context-Enhanced Dynamic Attention Network for Diffusion Prediction
MCDC-Net: Multi-scale forgery image detection network based on central difference convolution
MCMC-Based Algorithm to Adjust scale Bias in Large Series of Electron Microscopical Ultrathin Sections
MCRD-Net: An unsupervised dense network with multi-scale convolutional block attention for multi-focus image fusion
MCTS-Based Solution Approach to Solve Large-scale Airline Crew Pairing Problems, An
MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-scale Feature Fusion
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
MDCN: Multi-scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection
MDF-Net: A Multi-scale Dynamic Fusion Network for Breast Tumor Segmentation of Ultrasound Images
MDFN: Multi-scale deep feature learning network for object detection
MDSC-Net: A multi-scale depthwise separable convolutional neural network for skin lesion segmentation
ME-Net: A Multi-scale Erosion Network for Crisp Building Edge Detection from Very High Resolution Remote Sensing Imagery
Mead: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation
Mean Decision Rules Method with Smart Sampling for Fast Large-scale Binary SVM Classification
Mean-shift blob tracking through scale space
Mean-Shift Blob Tracking with Adaptive Feature Selection and scale Adaptation
Meaningful scales Detection along Digital Contours for Unsupervised Local Noise Estimation
Meaningful scales Detection: An Unsupervised Noise Detection Algorithm for Digital Contours
Measurement and Modeling of Video Watching Time in a Large-scale Internet Video-on-Demand System
Measurement of Large-scale Solar Power Plant by Using Images Acquired by Non-metric Digital Camera on Board UAV
Measurements and Analysis of Large-scale Fading Characteristics in Curved Subway Tunnels at 920 MHz, 2400 MHz, and 5705 MHz
Measuring SDG 15 at the County scale: Localization and Practice of SDGs Indicators Based on Geospatial Information
Measuring Spatial Accessibility to Hospitals of Acute Myocardial Infarction in Multi Period scale: A Case Study in Shijingshan District, Beijing, China
Measuring the Affine Transform - I: Recovering scale and Rotation
Measuring the Multi-scale Landscape Pattern of China's Largest Archipelago from a Dual-3D Perspective Based on Remote Sensing
Measuring Urban Poverty Spatial by Remote Sensing and Social Sensing Data: A Fine-scale Empirical Study from Zhengzhou
Medical image fusion and noise suppression with fractional-order total variation and multi-scale decomposition
Medical image segmentation using multi-scale and super-resolution method
Medium Level Scene Representation Using VLSI Smart Hexagonal Sensor with multi-resolution Edge Extraction Capability and scale Space Integration Co-Processor
Medium-Resolution Mapping of Evapotranspiration at the Catchment scale Based on Thermal Infrared MODIS Data and ERA-Interim Reanalysis over North Africa
Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition
Mega-NeRF: Scalable Construction of Large-scale NeRFs for Virtual Fly- Throughs
MegaFace Benchmark: 1 Million Faces for Recognition at scale, The
MEGANet: Multi-scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
MegBA: A GPU-Based Distributed Library for Large-scale Bundle Adjustment
Memory efficient Multi-scale Line Detector architecture for retinal blood vessel segmentation
Memory Saving Feature Descriptor Using scale and Rotation Invariant Patches around the Feature Ppoints
Memory-Efficient Multi-scale Residual Dense Network for Single Image Rain Removal
Memory-Efficient Network for Large-scale Video Compressive Sensing
MemSAC: Memory Augmented Sample Consistency for Large scale Domain Adaptation
MEP-3M: A large-scale multi-modal E-commerce product dataset
Merging multiple sensing platforms and deep learning empowers individual tree mapping and species detection at the city scale
Mesh Denoising Using Multi-scale Curvature-Based Saliency
Mesh Representation Driven by Variance Normalized Neighborhood in scale Space
MESNet: A Convolutional Neural Network for Spotting Multi-scale Micro-Expression Intervals in Long Videos
Message Passing Algorithms for Upper and Lower Bounding the Coded Modulation Capacity in a Large-scale Linear System
Meta-class features for large-scale object categorization on a budget
Meta-Learning with Less Forgetting on Large-scale Non-Stationary Task Distributions
Metallic debossed characters industrial online non-segmentation identification based on improved multi-scale image fusion enhancement and deep neural network
METANET Validation of the Large-scale Manchester Ring-Road Network Using Gradient-Based and Particle Swarm Optimization
Method and apparatus for halftone rendering of a gray scale image using a blue noise mask
Method and apparatus for reducing the gray scale resolution of a digitized image
Method and apparatus for reproducing an original gray scale image
Method and apparatus for the resolution enhancement of gray-scale images that include text and line art
Method and equipment for processing gray scale facsimile signal
Method for Generating Variable-scale Maps for Small Displays, A
method for gray-scale image thinning: the case without region specification for thinning, A
Method for Invariant Pattern-Recognition Using the scale-Vector Representation of Planar Curves, A
Method for maintaining bit density while converting images in scale or resolution
Method for Quantization scale Factor Selection in MPEG2 Video Sequence Encoding Using a Bilayer Fuzzy Expert-System, A
Method for Shift, Rotation, and scale Invariant Pattern Recognition Using the Form and Arrangement of Pattern-Specific Features, A
method of image classification based on SIFT-Gabor-scale descriptors, A
method of N-grams in large-scale clustering of DNA texts, The
Method of Repeat Photoclinometry for Detecting Kilometer-scale Ice Sheet Surface Evolution, A
method of single-shot target detection with multi-scale feature fusion and feature enhancement, A
Methodology for National scale Coastal Landcover Mapping in New Zealand, A
Methodology for O-D matrix estimation using the revealed paths of floating car data on large-scale networks
Methods for accuracy-preserving acceleration of large-scale comparisons in CPU-based iris recognition systems
Methods for Large-scale Monitoring of District Heating Systems Using Airborne Thermography
Methods of Rapid Quality Assessment for National-scale Land Surface Change Monitoring
Metric Learning for Large scale Image Classification: Generalizing to New Classes at Near-Zero Cost
Metric-scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
MEVA: A Large-scale Multiview, Multimodal Video Dataset for Activity Detection
MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
MFATNet: Multi-scale Feature Aggregation via Transformer for Remote Sensing Image Change Detection
MFC Datasets: Large-scale Benchmark Datasets for Media Forensic Challenge Evaluation
MFCANet: A Road Scene Segmentation Network Based on Multi-scale Feature Fusion and Context Information Aggregation
MFFE: Multi-scale Feature Fusion Enhanced Net for Image Dehazing
MFGFNet: A Multi-scale Remote Sensing Change Detection Network Using the Global Filter in the Frequency Domain
MFIL-FCOS: A Multi-scale Fusion and Interactive Learning Method for 2D Object Detection and Remote Sensing Image Detection
MFINet: Multi-scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images
MFMAM: Image inpainting via multi-scale feature module with attention module
MFNet: Multi-Level Feature Extraction and Fusion Network for Large-scale Point Cloud Classification
MFP-Net: Multi-scale feature pyramid network for crowd counting
MFSFNet: Multi-scale Feature Subtraction Fusion Network for Remote Sensing Image Change Detection
MG-Trans: Multi-scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification
MGWR: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale
MHLDet: A Multi-scale and High-Precision Lightweight Object Detector Based on Large Receptive Field and Attention Mechanism for Remote Sensing Images
Micro-expression spotting with multi-scale local transformer in long videos
Micro-Motion Classification of Flying Bird and Rotor Drones via Data Augmentation and Modified Multi-scale CNN
Micro-scale Flood Hazard Assessment Based on Catastrophe Theory and an Integrated 2-D Hydraulic Model: A Case Study of Gongshuangcha Detention Basin in Dongting Lake Area, China
Microcalcification detection using fuzzy logic and scale space approaches
Microphytobenthos Biomass and Diversity Mapping at Different Spatial scales with a Hyperspectral Optical Model
MIG-Net: Multi-scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution
MIL based visual object tracking with kernel and scale adaptation
MimicME: A Large scale Diverse 4D Database for Facial Expression Analysis
MIMO: A Unified Spatio-Temporal Model for Multi-scale Sea Surface Temperature Prediction
Minimal Solution to the Generalized Pose-and-scale Problem, A
Minimal Solvers for Generalized Pose and scale Estimation from Two Rays and One Point
Minimal Solvers for Rectifying from Radially-Distorted scales and Change of Scales
Minimal Solvers for Rectifying from Radially-Distorted scales and Change of Scales
Minimizing Latency and Jitter for Large-scale Multimedia Repositories Through Prefix Caching
Minimum Reliable scale Selection in 3D
Mining Large-scale News Video Database Via Knowledge Visualization
MinkLoc3D: Point Cloud Based Large-scale Place Recognition
MISC210K: A Large-scale Dataset for Multi-Instance Semantic Correspondence
Mix MSTAR: A Synthetic Benchmark Dataset for Multi-Class Rotation Vehicle Detection in Large-scale SAR Images
Mixed Drive Method for High Gray scale TFT-LCD, A
Mixed Noise Removal via Laplacian scale Mixture Modeling and Nonlocal Low-Rank Approximation
MixTeacher: Mining Promising Labels with Mixed scale Teacher for Semi-Supervised Object Detection
Mixture of Subspaces Image Representation and Compact Coding for Large-scale Image Retrieval
MM-Net: A MixFormer-Based Multi-scale Network for Anatomical and Functional Image Fusion
MMAct: A Large-scale Dataset for Cross Modal Human Action Understanding
MMDM: Multi-frame and Multi-scale for Image Demoireing
MMFuse: A multi-scale infrared and visible images fusion algorithm based on morphological reconstruction and membership filtering
MMGL: Multi-scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation
MMMNet: An End-to-End Multi-Task Deep Convolution Neural Network With Multi-scale and Multi-Hierarchy Fusion for Blind Image Quality Assessment
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark
MMSNet: Multi-modal scene recognition using multi-scale encoded features
MMTFN: Multi-modal multi-scale transformer fusion network for Alzheimer's disease diagnosis
Mode Estimation Using Pessimistic scale Space Tracking
Model-Based Assessment of Canopy-scale Primary Productivity for the Baltic Sea Benthic Vegetation Using Environmental Variables and Spectral Indices, A
Model-based extraction of image area descriptors using a multi-scale attention operator
Modeling 'don't know' responses in rating scales
Modeling aboveground tree woody biomass using national-scale allometric methods and airborne lidar
Modeling and Representations of Large-scale 3D Scenes: Introduction to Special Issue
Modeling Community-scale Natural Resource Use in a Transboundary Southern African Landscape: Integrating Remote Sensing and Participatory Mapping
Modeling Dynamic Traffic Flow as Visibility Graphs: A Network-scale Prediction Framework for Lane-Level Traffic Flow Based on LPR Data
Modeling Evapotranspiration at Larger Temporal scales: Effects of Temporal Aggregation and Data Gaps
Modeling Interferometric SAR Features of Forest Canopies Over Mountainous Area at Landscape scales
Modeling large-scale indoor scenes with rigid fragments using RGB-D cameras
Modeling Large-scale Joint Distributions and Inference by Randomized Assignment
Modeling Multiple Temporal scales of Full-Body Movements for Emotion Classification
Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures
Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
Modeling spatial and semantic cues for large-scale near-duplicated image retrieval
Modeling The Distribution Of African Savanna Elephants In Kruger National Park: An Application Of Multi-scale Globeland30 Data
Modeling, Evaluation, and scale on Artificial Pedestrians: A Literature Review
Modelling Fine scale Movement Corridors For The Tricarinate Hill Turtle
Modelling Large scale Datasets Using Partitioning-Based PCA
Modelling Two Sugarcane Agro-Industrial Yields Using Sentinel/Landsat Time-Series Data and Their Spatial Validation at Different scales in Costa Rica
Modelling Water Colour Characteristics in an Optically Complex Nearshore Environment in the Baltic Sea; Quantitative Interpretation of the Forel-Ule scale and Algorithms for the Remote Estimation of Seawater Composition
Modified curvature scale space feature alignment approach for hand posture recognition
modified Multi scale Retinex algorithm with an improved global impression of brightness for wide dynamic range pictures, A
Modified S-Neuron and Its Application to scale-Invariant Classification, A
Modified Zernike Moment Shape Descriptor Invariant to Translation, Rotation and scale for Similarity-based Image Retrieval, A
Modular and Lightweight Networks for Bi-scale Style Transfer
modular hybrid SLAM for the 3D mapping of large scale environments, A
Moment Preserving Detection of Elliptical Shapes in Gray-scale Images
MONet: Multi-scale Overlap Network for Duplication Detection in Biomedical Images
Monitoring Braided River-Bed Dynamics at the Sub-Event Time scale Using Time Series of Sentinel-1 SAR Imagery
Monitoring Complex Integrated Crop-Livestock Systems at Regional scale in Brazil: A Big Earth Observation Data Approach
Monitoring Deforestation at Sub-Annual scales as Extreme Events in Landsat Data Cubes
Monitoring Fine-scale Forest Health Using Unmanned Aerial Systems (UAS) Multispectral Models
Monitoring for Changes in Spring Phenology at Both Temporal and Spatial scales Based on MODIS LST Data in South Korea
Monitoring Land Cover Dynamics At Varying Spatial scales Using High To Very High Resolution Optical Imagery
Monitoring Land Use/Land Cover and Landscape Pattern Changes at a Local scale: A Case Study of Pyongyang, North Korea
Monitoring Land-Use/Land-Cover Changes at a Provincial Large scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images
Monitoring Large-scale Inland Water Dynamics by Fusing Sentinel-1 SAR and Sentinel-3 Altimetry Data and by Analyzing Causal Effects of Snowmelt
Monitoring Large-scale Restoration Interventions from Land Preparation to Biomass Growth in the Sahel
Monitoring of Fine-scale Warm Drain-Off Water from Nuclear Power Stations in the Daya Bay Based on Landsat 8 Data
Monitoring of Height Changes in Urban Areas from Multi-Temporal, Multi-scale and Multi-Platform Remotely Sensed Data
Monitoring Regional-scale Surface Deformation of the Continuous Permafrost in the Qinghai-Tibet Plateau with Time-Series InSAR Analysis
Monitoring Soil Salinity Classes through Remote Sensing-Based Ensemble Learning Concept: Considering scale Effects
Monitoring Thermal Stress in Wafer-scale Integrated Circuits by the Attentive Vision Method Using an Infrared Camera
Monitoring Tree Population Dynamics In Arid Zone Through Multiple Temporal scales: Integration Of Spatial Analysis, Change Detection And Field Long Term Monitoring
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations
Monitoring Water and Energy Cycles at Climate scale in the Third Pole Environment (CLIMATE-TPE)
Monocular 3D scene reconstruction at absolute scale
Monocular 3D Scene Reconstruction at Absolute scales by Combination of Geometric and Real-Aperture Methods
Monocular Depth Estimation Using Multi scale Neural Network And Feature Fusion
Monocular Depth Estimation Using Multi-scale Continuous CRFs as Sequential Deep Networks
Monocular Depth Estimation With Multi-scale Feature Fusion
Monogenic Curvature scale-Space, The
Monogenic scale Space on a Bounded Domain and Its Applications, The
Monogenic scale Space on a Rectangular Domain and its Features, The
Monogenic scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space, The
Monogenic scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space, The
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-scale 3D Scene Flow Estimation with Monocular Images
Monoto nicity-preserving Operations and the Morphological scale-Space Method for Image Segmentation
Monte Carlo Non-Local Means: Random Sampling for Large-scale Image Filtering
MonteFloor: Extending MCTS for Reconstructing Accurate Large-scale Floor Plans
Mood from painting: Estimating the mood of painting by using color image scale
MORB: A Multi-scale Binary Descriptor
MoRe: A Large-scale Motorcycle Re-Identification Dataset
Morphological and Linear scale Spaces for Fiber Enhancement in DW-MRI
Morphological Area Openings and Closings for Grey-scale Images
Morphological Counterparts of Linear Shift-Invariant scale-Spaces
Morphological Equivalents of Relativistic and Alpha-scale-Spaces, The
Morphological Gray scale Reconstruction in Image Analysis: Applications and Efficient Algorithms
Morphological hat-transform scale spaces and their use in pattern classification
Morphological hat-transform scale spaces and their use in texture classification
Morphological path filtering at the region scale for efficient and robust road network extraction from satellite imagery
Morphological scale Space and Mathematical Morphology
Morphological scale Space for 2D Shape Smoothing
Morphological scale Spaces and Associative Morphological Memories: Results on Robustness and Practical Applications
Morphological scale-space
Morphological scale-space Analysis and Feature Extraction
Morphological scale-Space Operators for Images Supported on Point Clouds
Morphological scale-Space Preserving Transforms in Many Dimensions
Morphological scale-space representation with levelings
Morphological scale-space using generalized zero-crossings as feature points
Morphological scale-Space with Application to Three-Dimensional Object Recognition
Morphological Semigroups and scale-Spaces on Ultrametric Spaces
Morphological Structure of Images: The Differential Equations of Morphological scale-Space, The
Morphological, Affine, and Galilean Invariant scale-Space for Movies, A
Morphology, Dynamics and Potential Hotspots of Land Surface Temperature at a Local scale in Urban Areas, The
Morphology-Based Symbolic Image Modeling, Multi-scale Nonlinear Smoothing, and Pattern Spectrum
Motion energy guided multi-scale heterogeneous features for 3D action recognition
Motion Estimation Based on Mutual Information and Adaptive Multi-scale Thresholding
Motion Matters: Difference-based Multi-scale Learning for Infrared UAV Detection
Motion-Augmented Self-Training for Video Recognition at Smaller scale
Motor Protein Function in Skeletal Muscle: A Multiple scale Approach to Contractility
Movement Enhancement toward Multi-scale Video Feature Representation for Temporal Action Detection
Movie and Video scale-Time Equalization Application to Flicker Reduction
Moving cast shadow detection using scale-relation multi-layer pooling features
MPANET: Multi-scale Pyramid Aggregation Network for Stereo Matching
MPG-LSD: A high-quality line segment detector based on multi-scale perceptual grouping
MR-UNet: An UNet model using multi-scale and residual convolutions for retinal vessel segmentation
MRDFlow: Unsupervised Optical Flow Estimation Network With Multi-scale Recurrent Decoder
MRFA-Net: Multi-scale Receptive Feature Aggregation Network for Cloud and Shadow Detection
MRI-Based Radiomics Analysis for Identification of Features Correlated with the Expanded Disability Status scale of Multiple Sclerosis Patients
MS-AGAN: Road Extraction via Multi-scale Information Fusion and Asymmetric Generative Adversarial Networks from High-Resolution Remote Sensing Images under Complex Backgrounds
MS-CapsNet: A Novel Multi-scale Capsule Network
MS-Celeb-1M: A Dataset and Benchmark for Large-scale Face Recognition
MS-IAF: Multi-scale Information Augmentation Framework for Aircraft Detection
MS-RadarFormer: A Transformer-Based Multi-scale Deep Learning Model for Radar Echo Extrapolation, The
MS-TCT: Multi-scale Temporal ConvTransformer for Action Detection
MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud Segmentation in Remote Sensing Images
MS2Net: Multi-scale and Multi-Stage Feature Fusion for Blurred Image Super-Resolution
MSAC-Net: 3D Multi-scale Attention Convolutional Network for Multi-Spectral Imagery Pansharpening
MSAR-DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution
MSAR-Net: Multi-scale attention based light-weight image super-resolution
MSB-FCN: Multi-scale Bidirectional FCN for Object Skeleton Extraction
MSCA-Net: Multi-scale contextual attention network for skin lesion segmentation
MSCAF-Net: A General Framework for Camouflaged Object Detection via Learning Multi-scale Context-Aware Features
Mscanet: Adaptive Multi-scale Context Aggregation Network for Congested Crowd Counting
MSCAReg-Net: Multi-scale complexity-aware convolutional neural network for deformable image registration
MSCC: Multi-scale Transformers for Camera Calibration
MSCE-Net: Multi-scale Spatial and Channel Enhancing Net based on Attention for Cloud Image Classification
MSCFNet: A Lightweight Network With Multi-scale Context Fusion for Real-Time Semantic Segmentation
MSCS: MeshStereo with Cross-scale Cost Filtering for fast stereo matching
MSDRN: Pansharpening of Multispectral Images via Multi-scale Deep Residual Network
MSF 2DN: Multi scale Feature Fusion Dehazing Network with Dense Connection
MSF-Net: Multi-scale Feedback Reconstruction for Guided Depth Map Super-Resolution
MSFD: Multi-scale Receptive Field Face Detector
MSFD: Multi-scale Segmentation-Based Feature Detection for Wide-Baseline Scene Reconstruction
MSFF: A Multi-scale Feature Fusion Network for Surface Defect Detection of Aluminum Profiles
MSFRNet: Two-Stream Deep Forgery Detector via Multi-scale Feature Extraction
MSG-GAN: Multi-scale Gradients for Generative Adversarial Networks
MSGFNet: Multi-scale Gated Fusion Network for Remote Sensing Image Change Detection
MSINet: Mining scale information from digital surface models for semantic segmentation of aerial images
MSINet: Twins Contrastive Search of Multi-scale Interaction for Object ReID
MsKAT: Multi-scale Knowledge-Aware Transformer for Vehicle Re-Identification
MSMDFusion: Fusing LiDAR and Camera at Multiple scales with Multi-Depth Seeds for 3D Object Detection
MSNet: A novel end-to-end single image dehazing network with multiple inter-scale dense skip-connections
MSNet: Multi-scale Convolutional Network for Point Cloud Classification
mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions
MSPR-Net: A Multi-scale Features Based Point Cloud Registration Network
MSR-FAN: Multi-scale residual feature-aware network for crowd counting
MSR-GCN: Multi-scale Residual Graph Convolution Networks for Human Motion Prediction
MsRi-CCF: Multi-scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object Detection
MSSDet: Multi-scale Ship-Detection Framework in Optical Remote-Sensing Images and New Benchmark
Mssnet: Multi-scale-stage Network for Single Image Deblurring
MSST-Net: A Multi-scale Adaptive Network for Building Extraction from Remote Sensing Images Based on Swin Transformer
MSSTNet: A Multi-scale Spatiotemporal Prediction Neural Network for Precipitation Nowcasting
MsSVT++: Mixed-scale Sparse Voxel Transformer With Center Voting for 3D Object Detection
MSSVT: Multi-scale feature extraction for single face recognition
MST-CSS (Multi-Spectro-Temporal Curvature scale Space), a Novel Spatio-Temporal Representation for Content-Based Video Retrieval
MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-scale Self-Texture Attention
MSTR: Multi-scale Transformer for End-to-End Human-Object Interaction Detection
MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers
Mti-net: Multi-scale Task Interaction Networks for Multi-task Learning
MTS: A Multiple Temporal scale Tracker Handling Occlusion and Abrupt Motion Variation
MTT: Multi-scale Temporal Transformer for Skeleton-Based Action Recognition
MuCoGraph: A multi-scale constraint enhanced pose-graph framework for MLS point cloud inconsistency correction
MUGL: Large scale Multi Person Conditional Action Generation with Locomotion
Multi pose face recognition using double stages classifications: SMLDA and fusion of scale invariant features
Multi scale block histogram of template feature for pedestrian detection
Multi scale diffeomorphic metric mapping of spatial transcriptomics datasets
Multi scale Harris corner detector based on Differential Morphological Decomposition
Multi scale mirror connection based encoder decoder network for text localization
Multi scale multi descriptor local binary features and exponential discriminant analysis for robust face authentication
Multi scale multi structuring element top-hat transform for linear feature detection
Multi scale pixel attention and feature extraction based neural network for image denoising
Multi scale Shape Index for 3D Object Recognition
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
Multi-Agent Mix Hierarchical Deep Reinforcement Learning for Large-scale Fleet Management
Multi-aircrafts tracking using spatial-temporal constraints-based intra-frame scale-invariant feature transform feature matching
multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation, A
multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation, A
Multi-Bin search: improved large-scale content-based image retrieval
Multi-branch and Multi-scale Attention Learning for Fine-grained Visual Categorization
Multi-branch CNN for Multi-scale Age Estimation
Multi-Camera Vehicle Tracking System based on City-scale Vehicle Re-ID and Spatial-Temporal Information, A
Multi-Channel Based Approach for Extracting Significant scales on Gray-Level Images, A
Multi-Class Multi-scale Series Contextual Model for Image Segmentation
Multi-concept learning with large-scale multimedia lexicons
Multi-Constrained Optimization Method of Line Segment Extraction Based on Multi-scale Image Space
Multi-data UAV Images for Large scale Reconstruction of Buildings
Multi-dimensional Histogram Comparison Via scale Trees
Multi-dimensional scale Saliency Feature Extraction Based on Entropic Graphs
Multi-Domain Collaborative Transfer Learning Method with Multi-scale Repeated Attention Mechanism for Underwater Side-Scan Sonar Image Classification, A
Multi-Exposure Image Fusion via Multi-scale and Context-Aware Feature Learning
Multi-Feature Fusion and Attention Network for Multi-scale Object Detection in Remote Sensing Images, A
Multi-Focus Image Fusion Based on Multi-scale Gradients and Image Matting
Multi-focus image fusion based on multi-scale sparse representation
Multi-Focus Image Fusion via Boundary Finding and Multi-scale Morphological Focus-Measure
Multi-frame information fusion for gray-scale and spatial enhancement of images
Multi-GPU-Parallel and Tile-Based Kernel Density Estimation for Large-scale Spatial Point Pattoern Analysis
Multi-Image Matching for DTM Generation from SPOT-5 HRS/HRG and IRS-P5 Imagery - For the Project of West China Topographic Mapping at 1:50,000 scale
Multi-Image Matching Using Multi-scale Oriented Patches
Multi-layer and Multi-scale feature aggregation for DIBR-Synthesized image quality assessment
Multi-Layer Model Based on Multi-scale and Multi-Feature Fusion for SAR Images
Multi-level and multi-scale deep saliency network for salient object detection
Multi-Level and Multi-scale Factor Analysis for Soil Moisture Information Extraction by Multi-Source Remote Sensing Data, The
Multi-Level and Multi-scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging
Multi-Level and Multi-scale Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution
Multi-Level Discriminative Dictionary Learning With Application to Large scale Image Classification
Multi-Level Spatial Analysis for Change Detection of Urban Vegetation at Individual Tree scale
Multi-level, Multi-scale Segmentation and Smoothing Methods
Multi-marker tracking for large-scale X-ray stereo video data
Multi-modal Computer Vision for the Detection of Multi-scale Crowd Physical Motions and Behavior in Confined Spaces
Multi-modal defect detection of residual oxide scale on a cold stainless steel strip
Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection
Multi-Modal Multi-scale Deep Learning for Large-Scale Image Annotation
Multi-Modal Multi-scale Deep Learning for Large-Scale Image Annotation
Multi-modal/multi-scale convolutional neural network based in-loop filter design for next generation video codec
Multi-Modality and Multi-scale Attention Fusion Network for Land Cover Classification from VHR Remote Sensing Images
Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-scale Feature Abstraction
Multi-patch multi-scale model for motion deblurring with high-frequency information
Multi-Prior Based Multi-scale Condition Network for Single-Image HDR Reconstruction
multi-resolution based approach for handwriting segmentation in gray-scale images, A
Multi-Resolution Design for Large-scale and High-Resolution Monitoring
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting
Multi-Resolution Generative Adversarial Networks for Tiny-scale Pedestrian Detection
Multi-resolution local Gabor wavelets binary patterns for gray-scale texture description
Multi-scale 2D Representation Learning for weakly-supervised moment retrieval
Multi-scale 2D Temporal Adjacency Networks for Moment Localization With Natural Language
Multi-scale 2D tracking of articulated objects using hierarchical spring systems
Multi-scale 3-d Free-Form Surface Smoothing
Multi-scale 3-D Surface Description: Open and Closed Surfaces
Multi-scale 3D Deep Convolutional Neural Network for Hyperspectral Image Classification
Multi-scale 3D Modelling of Damaged Cultural Sites: Use Cases and Image-Based Workflows
Multi-scale 3D representation via volumetric quasi-random scale space
Multi-scale 3D representation via volumetric quasi-random scale space
Multi-scale 3D Scene Flow from Binocular Stereo Sequences
Multi-scale 3D U-Nets: An approach to automatic segmentation of brain tumor
Multi-scale 3D-Modeling
Multi-scale Acoustic Velocity Inversion Based on a Convolutional Neural Network
Multi-scale active patches fusion based on spatiotemporal LBP-TOP for micro-expression recognition
Multi-scale Active Shape Description
Multi-scale adaptive factors video acceleration magnification
Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images
Multi-scale Adaptive Gain Control of IR Images
Multi-scale Adaptive Grey World Algorithm, A
Multi-scale Adaptive Mask 3D Rigid Registration of Ultrasound and CT Images
Multi-scale Adaptive Structure Network for Human Pose Estimation from Color Images
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Multi-scale Adversarial Cross-Domain Detection with Robust Discriminative Learning
Multi-scale adversarial network for vehicle detection in UAV imagery
Multi-scale Aggregation Network for Direct Face Alignment
Multi-scale Aggregation Network for Temporal Action Proposals
Multi-scale Aggregation Transformers for Multispectral Object Detection
Multi-scale Aligned Distillation for Low-Resolution Detection
Multi-scale Analysis for Coherent Change Detection: A Method for Extracting Typical Changed Area
Multi-scale analysis of color and texture for salient object detection
Multi-scale Analysis of Contextual Information Within Spatio-Temporal Video Volumes for Anomaly Detection
Multi-scale Analysis of Discrete Contours for Unsupervised Noise Detection
Multi-scale Analysis of Discrete Point Sets
Multi-scale Analysis of Jack Pine Saplings After Fire Across Burn Severities
Multi-scale Analysis of PM2.5 Concentrations in the Yangtze River Economic Belt: Investigating the Combined Impact of Natural and Human Factors
Multi-scale Analysis of Regional Inequality based on Spatial Field Model: A Case Study of China from 2000 to 2012
Multi-scale analysis of skin hyper-pigmentation evolution
Multi-scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique
Multi-scale analysis of ulcer disease detection from WCE images
Multi-scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques
Multi-scale and Attention based ResNet for Heartbeat Classification
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 Cross-scale Contrastive Learning for Semantic Segmentation
Multi-scale and First Derivative Analysis for Edge Detection in TEM Images
Multi-scale and Hierarchical Description Using Energy Controlled Active Balloon Model
Multi-scale and Multi-Level Spectral-Spatial Feature Fusion Network for Hyperspectral Image Classification, A
Multi-scale and Multi-orientation Local Feature Extraction for Lane Detection Using High-Level Information
Multi-scale and multi-patch transformer for sandstorm image enhancement
Multi-scale and Multi-Scope Convolutional Neural Networks for Destination Prediction of Trajectories
Multi-scale and Multi-Sensor 3D Documentation of Heritage Complexes in Urban Areas
Multi-scale and Multi-stage Deraining Network with Fourier Space Loss
Multi-scale and Multi-Stream Fusion Network for Pansharpening
Multi-scale and Multi-Task Deep Learning Framework for Automatic Road Extraction
Multi-scale and Occlusion Aware Network for Vehicle Detection and Segmentation on UAV Aerial Images
Multi-scale and real-time non-parametric approach for anomaly detection and localization
Multi-scale and Scale Dimension Properties in Spatial Raster Modelling: Concept and Current Implementation
Multi-scale and Scale Dimension Properties in Spatial Raster Modelling: Concept and Current Implementation
Multi-scale and Snakes for Automatic Road Extraction
Multi-scale and spatial position-based channel attention network for crowd counting
Multi-scale Anisotropic Fourth-Order Diffusion Improves Ridge and Valley Localization
Multi-scale anisotropic heat diffusion based on normal-driven shape representation
Multi-scale Approach for Remote Sensing Scene Classification Based on Feature Maps Selection and Region Representation, A
multi-scale approach for seismic tomography, A
Multi-scale Approach to Corner Tracking, A
Multi-scale Approach to Decompose a Digital Curve into Meaningful Parts, A
Multi-scale Approach to Gesture Detection and Recognition, A
Multi-scale Approach To Nonuniform Diffusion, A
Multi-scale Approximation of the Matching Distance for Shape Retrieval
Multi-scale architectures matter: Examining the adversarial robustness of flow-based lossless compression
Multi-scale Arithmetization of Linear Transformations
Multi-scale Assessment of SMAP Level 3 and Level 4 Soil Moisture Products over the Soil Moisture Network within the ShanDian River (SMN-SDR) Basin, China
Multi-scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach
Multi-scale attention and dilation network for small defect detection
Multi-scale Attention Deep Neural Network for Fast Accurate Object Detection
Multi-scale attention guided network for end-to-end face alignment and recognition
Multi-scale attention guided pose transfer
Multi-scale Attention Learning Network for Facial Expression Recognition
Multi-scale attention network for image inpainting
Multi-scale attention network for image super-resolution
Multi-scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition
Multi-scale Attention-based Multiple Instance Learning for Classification of Multi-gigapixel Histology Images
Multi-scale attention-based pseudo-3D convolution neural network for Alzheimer's disease diagnosis using structural MRI
Multi-scale Attentive Aggregation for LiDAR Point Cloud Segmentation
Multi-scale Attentive Residual Dense Network for Single Image Rain Removal
Multi-scale Attributes Attention Model for Transport Mode Identification, A
Multi-scale autoconvolution for affine invariant pattern recognition
Multi-scale B-spline level set segmentation based on Gaussian kernel equalization
Multi-scale Background Suppression Anomaly Detection In Surveillance Videos
Multi-scale Based Context-Aware Net for Action Detection
Multi-scale Bayesian Based Horizon Matchings Across Faults in 3d Seismic Data
Multi-scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation
Multi-scale Bilateral Structure Tensor Based Corner Detector, A
Multi-scale binarization of images
Multi-scale Binary Patterns for Texture Analysis
Multi-scale bisector integrals: An invariant descriptor for accurate shape retrieval
Multi-scale blocks based image emotion classification using multiple instance learning
Multi-scale Boosted Dehazing Network with Dense Feature Fusion
Multi-scale Boosted Detector for Efficient and Robust Gesture Recognition, A
Multi-scale Boosting Feature Encoding Network for Texture Recognition
Multi-scale Building Maps From Aerial Imagery
Multi-scale capsule generative adversarial network for snow removal
Multi-scale car detection and localization using contour fragments
Multi-scale Cartoon Motion Capture and Retargeting without Shape Matching
multi-scale cascade fully convolutional network face detector, A
Multi-scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification
Multi-scale Cell Segmentation Method for Detecting Hematological Disorders, A
Multi-scale Cell-based Layout Representation for Document Understanding
Multi-scale Classification for Electrosensing
Multi-scale classification network for road crack detection
Multi-scale Classification of 3D Objects
Multi-scale Clustering of Frame-to-Frame Correspondences for Motion Segmentation
Multi-scale CNN for Affordance Segmentation in RGB Images, A
Multi-scale CNN Stereo and Pattern Removal Technique for Underwater Active Stereo System
Multi-scale Coal Fire Detection Based on an Improved Active Contour Model from Landsat-8 Satellite and UAV Images
Multi-scale color image enhancement
Multi-scale Color Local Binary Patterns for Visual Object Classes Recognition
Multi-scale Colorectal Tumour Segmentation Using a Novel Coarse to Fine Strategy
Multi-scale Comparison Network for Few-shot Learning
Multi-scale Conditional Generative Adversarial Network for Face Sketch Synthesis, A
Multi-scale Conditional Random Fields for over-segmented irregular 3D point clouds classification
Multi-scale conditional reconstruction generative adversarial network
Multi-scale Content-Insensitive Fusion CNN for Source Social Network Identification, A
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 Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
Multi-scale contour detection model based on fixational eye movement mechanism
Multi-scale Contour Extraction Based on Natural Image Statistics
Multi-scale contour flexibility shape signature for Fourier descriptor
Multi-scale Contour Matching in a Motion Sequence
Multi-scale Contour Segmentation
Multi-scale Contourlet Knowledge Guide Learning Segmentation
Multi-scale contrast-based saliency enhancement for salient object detection
Multi-scale Contrastive Learning for Complex Scene Generation
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
Multi-scale convolutional attention network for lightweight image super-resolution
Multi-scale convolutional networks for traffic forecasting with spatial-temporal attention
Multi-scale Convolutional Neural Network for Multi-Focus Image Fusion
Multi-scale convolutional neural network for pixel-wise reconstruction of Van Gogh's drawings
Multi-scale Convolutional Neural Network-Based Intra Prediction for Video Coding
Multi-scale convolutional neural networks and saliency weight maps for infrared and visible image fusion
Multi-scale convolutional neural networks for crowd counting
Multi-scale correlation module for video-based facial expression recognition in the wild
Multi-scale Correspondence Learning for Person Image Generation
Multi-scale Cortical Keypoint Representation for Attention and Object Detection
Multi-scale counting and difference representation for texture classification
Multi-scale creases detection on noisy meshes
Multi-scale Cross-Band Encoding of Sectored Local Binary Pattern for Robust Texture Classification
Multi-scale Cross-Modal Transformer Network for RGB-D Object Detection
Multi-scale Cross-path Concatenation Residual Network for Poisson denoising
Multi-scale crowd feature detection using vision sensing and statistical mechanics principles
Multi-scale curvature product for robust image corner detection in curvature scale space
Multi-scale curvature product for robust image corner detection in curvature scale space
Multi-scale Curvatures for Contour Feature Extraction
Multi-scale Curve Detection on Surfaces
Multi-scale DCT Denoising
Multi-scale Deblurring with Smooth Region Constraints
Multi-scale decomposition of point process data
Multi-scale decomposition tool for Content Based Image Retrieval
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization
Multi-scale deep feature fusion based sparse dictionary selection for video summarization
Multi-scale deep feature learning network with bilateral filtering for SAR image classification
Multi-scale Deep Learning Architectures for Person Re-identification
Multi-scale Deep Learning for Gesture Detection and Localization
Multi-scale Deep Networks for Image Compressed Sensing
Multi-scale deep neural network for salient object detection
Multi-scale Deep Neural Network for Water Detection from SAR Images in the Mountainous Areas, A
Multi-scale Deep Pixel Distribution Learning for Concrete Crack Detection
multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts, A
Multi-scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans
Multi-scale deep relational reasoning for facial kinship verification
Multi-scale Deep Residual Learning-Based Single Image Haze Removal via Image Decomposition
Multi-scale Defense of Adversarial Images
Multi-scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compression
Multi-scale Deformable Transformer Encoder Based Single-Stage Pedestrian Detection
Multi-scale Dense Networks for Deep High Dynamic Range Imaging
Multi-scale Dense Networks for Hyperspectral Remote Sensing Image Classification
Multi-scale Density-Aware Network for Single Image Dehazing
Multi-scale Depth from Slope with Weights
Multi-scale Depthwise Separable Convolution for Semantic Segmentation in Street-Road Scenes
Multi-scale Description of Space Curves and Three-Dimensional Objects
multi-scale descriptor for real time RGB-D hand gesture recognition, A
Multi-scale Descriptor for Robust and Fast Camera Motion Estimation
Multi-scale Detail Enhancement Network for Image Super-Resolution
Multi-scale Detection of Characteristic Figure Structures Using Principal Curvatures of Image Gray-Lever Profile
Multi-scale dictionary for single image super-resolution
Multi-scale differential feature for ECG biometrics with collective matrix factorization
Multi-scale Direct Sparse Visual Odometry for Large-Scale Natural Environment
Multi-scale Direct Sparse Visual Odometry for Large-Scale Natural Environment
Multi-scale directional-filtering-based method for follicular lymphoma grading
Multi-scale Discrete Cosine Transform Network for Building Change Detection in Very-High-Resolution Remote Sensing Images
Multi-scale Discriminant Analysis and Recognition of Signals and Images
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images
Multi-scale Dynamic Feature Encoding Network for Image Demoireing
Multi-scale dynamic fusion for correcting uneven illumination images
Multi-scale Dynamic Human Fatigue Detection with Feature Level Fusion
Multi-scale Edge Constraint Network for the Fine Extraction of Buildings from Remote Sensing Images, A
Multi-scale edge detection on range and intensity images
Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration
Multi-scale embedded descriptor for shape classification
Multi-scale Encoding (MSE) Method with Spectral Shape Information (SSI) for Detecting Marine Oil-Gas Leakages
Multi-scale end-to-End Learning for Point Cloud Geometry Compression
Multi-scale Engineering Geological Zonation for Linear Projects in Mountainous Regions: A Case Study of National Highway 318 Chengdu-Shigatse Section
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection
Multi-scale Estimation for Omni-Directional Saliency Maps Using Learnable Equator Bias
Multi-scale Evaluation of Drone-Based Multispectral Surface Reflectance and Vegetation Indices in Operational Conditions
Multi-scale Evaluation of the SMAP Product Using Sparse In-Situ Network over a High Mountainous Watershed, Northwest China
Multi-scale Evaluation of the TSEB Model over a Complex Agricultural Landscape in Morocco
Multi-scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks
Multi-scale f-formation discovery for group detection
Multi-scale face hallucination based on frequency bands analysis
Multi-scale Fast Detection of Objects in High Resolution Remote Sensing Images
Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild
Multi-scale Feasibility Study into Acid Mine Drainage (AMD) Monitoring Using Same-Day Observations, A
Multi-scale feature aggregation and boundary awareness network for salient object detection
Multi-scale Feature Aggregation Network for Semantic Segmentation of Land Cover
Multi-scale Feature Aggregation Network for Water Area Segmentation
Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation, A
Multi-scale feature combination for person re-identification
Multi-scale Feature Extraction and Nested-subset Classifier Design for High Accuracy Handwritten Character Recognition
Multi-scale feature extraction approaches for classification of INSAR and Phase Gradient INSAR Images
Multi-scale Feature Extraction for 3D Models Using Local Surface Curvature
Multi-scale feature extraction for 3d surface registration using local shape variation
Multi-scale Feature Extraction in a Sub-pixel Virtual Hexagonal Environment
Multi-scale Feature Fused Single Shot Detector for Small Object Detection in UAV Images
Multi-scale Feature Fusion Network for Blind Deblurring
Multi-scale Feature Fusion Network for Person Re-Identification
Multi-scale feature fusion network with local attention for lung segmentation
Multi-scale Feature Fusion Network with Symmetric Attention for Land Cover Classification Using SAR and Optical Images
Multi-scale Feature Fusion Pedestrian Detection Algorithm Based on Transformer
Multi-scale feature fusion pyramid attention network for single image dehazing
Multi-scale Feature Guided Low-Light Image Enhancement
Multi-scale feature identification using evolution strategies
Multi-scale Feature Interaction Network for Remote Sensing Change Detection
multi-scale feature likelihood map for direct evaluation of object hypotheses, A
Multi-scale Feature Map Aggregation and Supervised Domain Adaptation of Fully Convolutional Networks for Urban Building Footprint Extraction
Multi-scale Feature Pyramid Network for Detection and Instance Segmentation of Marine Ships in SAR Images, A
Multi-scale Feature Pyramids for Weakly Supervised Thoracic Disease Localization
multi-scale feature representation and interaction network for underwater object detection, A
Multi-scale Feature Residual Feedback Network for Super-Resolution Reconstruction of the Vertical Structure of the Radar Echo
Multi-scale Feature Selection in Stereo
Multi-scale features and attention guided for brain tumor segmentation
Multi-scale Features for Detection and Segmentation of Rocks in Mars Images
Multi-scale Features Joint Rain Removal For Single Image
Multi-scale Filtering Building Index for Building Extraction in Very High-Resolution Satellite Imagery, A
Multi-scale Fine-Grained Alignments for Image and Sentence Matching
Multi-scale Flood Mapping under Climate Change Scenarios in Hexagonal Discrete Global Grids
Multi-scale Flood Monitoring System Based on Fully Automatic MODIS and TerraSAR-X Processing Chains, A
Multi-scale Flow Field Mapping Method Based on Real-Time Feature Streamlines
Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks
Multi-scale Forest Above-Ground Biomass Mapping Approach: Employing a Step-by-Step Spatial Downscaling Method with Bias-Corrected Ensemble Machine Learning, A
Multi-scale Fractal Analysis of Image Texture and Patterns
multi-scale framework for adaptive binarization of degraded document images, A
multi-scale framework for the automated surveying of the Whangateau estuary using off-the-shelf equipment, A
Multi-scale free-form 3D object recognition using 3D models
Multi-scale Frequency Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Network
Multi-scale Frequency Separation Network for Image Deblurring
Multi-scale Fully Convolutional DenseNets for Automated Skin Lesion Segmentation in Dermoscopy Images
Multi-scale Fully Convolutional Network for Face Detection in the Wild
Multi-scale Fully Convolutional Network for Fast Face Detection
multi-scale fully convolutional network for semantic labeling of 3D point clouds, A
Multi-scale Fused SAR Image Registration Based on Deep Forest
Multi-scale Fusion and Decomposition Network for Single Image Deraining
Multi-scale Fusion and Transformer Based Registration Guided Speckle Noise Reduction for OCT Images, A
Multi-scale Fusion for Improved Localization of Malicious Tampering in Digital Images
Multi-scale Fusion of Texture and Color for Background Modeling
Multi-scale Fusion of Two Large-Exposure-Ratio Images
Multi-scale Fusion Subspace Clustering Using Similarity Constraint
Multi-scale Fusion with Context-Aware Network for Object Detection
Multi-scale Fusion With Matching Attention Model: A Novel Decoding Network Cooperated With NAS for Real-Time Semantic Segmentation
Multi-scale Fuzzy Classification by KNN: Application to the Interpretation of Aerial Images, A
Multi-scale GAN with residual image learning for removing heterogeneous blur
Multi-scale Gated Fully Convolutional DenseNets for semantic labeling of historical newspaper images
Multi-scale Gaussian Difference Preprocessing and Dual Stream CNN-transformer Hybrid Network for Skin Lesion Segmentation
Multi-scale Generalization of the HoG and HMAX Image Descriptors for Object Detection, A
Multi-scale Generative Adversarial Networks for Crowd Counting
multi-scale generative model for animate shapes and parts, A
Multi-scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo
Multi-scale Geometric Consistency Guided Multi-View Stereo
Multi-scale Geophysical Methodologies Applied to Image Archaeological Ruins at Various Depths in Highly Terraneous Sites
Multi-scale Geospatial Object Detection Based on Shallow-Deep Feature Extraction
Multi-scale Gesture Recognition from Time-Varying Contours
Multi-scale Gradient Approach for Color-based Morphological Segmentation, A
Multi-scale gradient attention guidance and adaptive style fusion for image inpainting
Multi-scale Gradient Image Super-Resolution for Preserving SIFT Key Points in Low-Resolution Images
Multi-scale gradient magnitude watershed segmentation
Multi-scale Graph Based on Spatio-Temporal-Radiometric Interaction for SAR Image Change Detection, A
Multi-scale Graph Convolutional Interaction Network for Salient Object Detection
Multi-scale graph neural network for global stereo matching
Multi-scale Graph-Based Feature Fusion for Few-Shot Remote Sensing Image Scene Classification
Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data
Multi-scale Grid Network for Image Deblurring With High-Frequency Guidance
Multi-scale Gridded Gabor Attention for Cirrus Segmentation
Multi-scale Ground Deformation Analysis and Investigation of Driver Factors Based on Remote Sensing Data: A Case Study of Zhuhai City
Multi-scale Grouped Dense Network for VVC Intra Coding
Multi-scale Guided Cascade Hourglass Network for Depth Completion, A
Multi-scale Guided Mask Refinement for Coarse-to-Fine RGB-D Perception
Multi-scale Hierarchical Codebook Method for Human Action Recognition in Videos Using a Single Example, A
Multi-scale Hierarchy Deep Feature Aggregation for Compact Image Representations
Multi-scale High-Resolution Vision Transformer for Semantic Segmentation
Multi-scale histogram tone mapping algorithm enables better object detection in wide dynamic range images
Multi-scale homography estimation based on dual feature aggregation transformer
Multi-scale Hourglass Hierarchical Fusion Network for Single Image Deraining
Multi-scale Human-Object Interaction Detector
Multi-scale Hybrid Linear Model for Lossy Image Representation, A
Multi-scale Hybrid Saliency Analysis for Region of Interest Detection in Very High Resolution Remote Sensing Images
Multi-scale Hypergraph-Based Feature Alignment Network for Cell Localization
Multi-scale Image Analysis Applied to Radioastronomical Interferometric Data
Multi-scale Image Analysis by Pyramidal Algorithms
Multi-scale Image Analysis for Detection of Characteristic Component Figure Shapes and Sizes
Multi-scale image contrast enhancement
Multi-scale Image Segmentation Using MSER
Multi-scale Image Transforms
Multi-scale image warping using weighted Voronoi diagram
Multi-scale Image- and Feature-Level Alignment for Cross-Resolution Person Re-Identification
Multi-scale Improves Boundary Detection in Natural Images
Multi-scale Influence Analysis of Urban Shadow and Spatial Form Features on Urban Thermal Environment
Multi-scale inherent variation features-based texture filtering
Multi-scale Integral Modified Census Transform for Eye Detection
Multi-scale Integration of Slope Data on an Irregular Mesh
Multi-scale interaction transformer for temporal action proposal generation
Multi-scale Interactive Network for Salient Object Detection
Multi-scale interest regions from unorganized point clouds
Multi-scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical Interpretation
Multi-scale Investigation of Human Renal Tissue in Three Dimensions
Multi-scale Iso-surface Extraction For Volume Visualization
Multi-scale Joint Encoding of Local Binary Patterns for Texture and Material Classification
Multi-scale Kernel Operators for Reflection and Rotation Symmetry: Further Achievements
Multi-scale Keypoint Matching
Multi-scale LBP Texture Feature Learning Network for Remote Sensing Interpretation of Land Desertification
Multi-scale Learning for Low-Resolution Person Re-Identification
Multi-scale Learning Framework for Visual Categorization, A
multi-scale learning method with dilated convolutional network for concrete surface cracks detection, A
multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity, A
Multi-scale LG-Mod Analysis for a More Reliable SAR Sea Surface Wind Directions Retrieval
Multi-scale Line Feature Detection Using Second Order Semi-Gaussian Filters, A
Multi-scale Line Filter with Automatic Scale Selection Based on the Hessian Matrix for Medical Image Segmentation, A
Multi-scale Line Filter with Automatic Scale Selection Based on the Hessian Matrix for Medical Image Segmentation, A
Multi-scale Local Binary Pattern Histograms for Face Recognition
Multi-scale local binary patterns based on path integral for texture classification
Multi-scale Local Implicit Keypoint Descriptor for Keypoint Matching
Multi-scale local-temporal similarity fusion for continuous sign language recognition
Multi-scale Location-Aware Kernel Representation for Object Detection
Multi-scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization
Multi-scale MAP Estimation of High-Resolution Images
Multi-scale Massive Points Fast Clustering Based on Hierarchical Density Spanning Tree
Multi-scale Matching for Stereo
Multi-scale Matching for the Automatic Location of Control Points in Large Scale Aerial Images Using Terrestrial Scenes
Multi-scale Matching for the Automatic Location of Control Points in Large Scale Aerial Images Using Terrestrial Scenes
Multi-scale Matching Networks for Semantic Correspondence
Multi-scale mean shift tracking
Multi-scale Memory-Based Video Deblurring
Multi-scale mesh saliency with local adaptive patches for viewpoint selection
Multi-scale Method for Adaptive Mesh Editing Based on Rigidity Estimation
Multi-scale Metric Learning for Few-Shot Learning
Multi-scale microstructure binary pattern extraction and learning for image representation
Multi-scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting, A
Multi-scale Model Driven Single Image Dehazing
Multi-scale model-based skeletonization of object shapes using self-organizing maps
Multi-scale Modeling and Oxygen Impact on Tumor Temporal Evolution: Application on Rectal Cancer During Radiotherapy
Multi-scale Modeling of Neural Structure in X-Ray Imagery
Multi-scale modeling of textures
Multi-scale Morphological Method for Human Posture Recognition, A
Multi-scale Motion-Aware Module for Video Action Recognition
Multi-scale Multi-attention Network for Moire Document Image Binarization
Multi-scale multi-feature codebook-based background subtraction
Multi-scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction
Multi-scale Multi-Level Generative Model in Scene Classification
Multi-scale Multi-task Distillation for Incremental 3d Medical Image Segmentation
Multi-scale Multi-View Deep Feature Aggregation for Food Recognition
Multi-scale mutual feature convolutional neural network for depth image denoise and enhancement
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 neural texture classification using the GPU as a stream processing engine
Multi-scale noise estimation for image splicing forgery detection
Multi-scale Non-Local Kernel Regression for super resolution
Multi-scale Non-Local Spatio-Temporal Information Fusion Networks for Multi-Step Traffic Flow Forecasting
multi-scale non-uniformity correction method based on wavelet decomposition and guided filtering for uncooled long wave infrared camera, A
Multi-scale object detection by clustering lines
Multi-scale object detection in remote sensing imagery with convolutional neural networks
Multi-scale Object Detection with the Pixel Attention Mechanism in a Complex Background
Multi-scale Object Detector Based on Coordinate and Global Information Aggregation for UAV Aerial Images, A
Multi-scale Object Histogram Distance for LCCD Using Bi-Temporal Very-High-Resolution Remote Sensing Images
Multi-scale observation models for motion estimation
Multi-scale Opening: A New Morphological Operator
Multi-scale Optimal Fusion Model for Single Image Dehazing
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Multi-scale Particle Filter Framework for Contour Detection, A
Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization
Multi-scale Patch-Based Image Restoration
Multi-scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation
Multi-scale patch-based sparse appearance model for robust object tracking
Multi-scale patches based image denoising using weighted nuclear norm minimisation
Multi-scale Pathological Fluid Segmentation in OCT With a Novel Curvature Loss in Convolutional Neural Network
Multi-scale pedestrian detection based on self-attention and adaptively spatial feature fusion
Multi-scale pedestrian detection with global-local attention and multi-scale receptive field context
Multi-scale pedestrian detection with global-local attention and multi-scale receptive field context
multi-scale perceptual polyp segmentation network based on boundary guidance, A
Multi-scale phase-based local features
Multi-scale Piecewise Line Integral Strategy for Structure Integral Transform
Multi-scale Piecewise-Linear Feature Detector for Spectrogram Tracks, A
Multi-scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments
Multi-scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments
Multi-scale Position Feature Transform Network for Video Frame Interpolation, A
Multi-scale Positive Sample Refinement for Few-shot Object Detection
Multi-scale Primal Feature Based Facial Expression Modeling and Identification
Multi-scale Probabilistic Dithering for Suppressing Banding Artifacts in Digital Images
Multi-scale Processing of Noisy Images using Edge Preservation Losses
Multi-scale Progressive Fusion Network for Single Image Deraining
Multi-scale Proposal Generation for Ship Detection in SAR Images
Multi-scale pyramid pooling for deep convolutional representation
Multi-scale Radar HRRP Target Recognition Method Based on Pyramid Depthwise Separable Convolution Network, A
Multi-scale Raft: Combining Hierarchical Concepts for Learning-Based Optical Flow Estimation
Multi-scale Recognition with DAG-CNNs
Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification
Multi-scale Recursive and Perception-Distortion Controllable Image Super-Resolution
Multi-scale region candidate combination for action recognition
Multi-scale Region Detector, A
Multi-scale region perpendicular local binary pattern: An effective feature for interest region description
Multi-scale region-based saliency detection using W2 distance on N-dimensional normal distributions
Multi-scale Regularized Deep Network for Retinal Vessel Segmentation
Multi-scale Relation Network for Few-shot Learning Based on Meta-learning
Multi-scale relation reasoning for multi-modal Visual Question Answering
Multi-scale Relational Reasoning with Regional Attention for Visual Question Answering
Multi-scale Relationship between Land Surface Temperature and Landscape Pattern Based on Wavelet Coherence: The Case of Metropolitan Beijing, China
Multi-scale Remote Sensing Assessment of Ecological Environment Quality and Its Driving Factors in Watersheds: A Case Study of Huashan Creek Watershed in China
Multi-scale Remote Sensing Semantic Analysis Based on a Global Perspective
Multi-scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects
Multi-scale Representation Learning on Hypergraph for 3D Shape Retrieval and Recognition
Multi-scale Representation of Ocean Flow Fields Based on Feature Analysis
Multi-scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization, A
Multi-scale Residential Areas Matching Method Considering Spatial Neighborhood Features, A
Multi-scale Residential Areas Matching Method Using Relevance Vector Machine and Active Learning, A
Multi-scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images
Multi-scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation
Multi-scale Residual Interaction for RGB-D Salient Object Detection
Multi-scale Residual Low-Pass Filter Network for Image Deblurring
Multi-scale Residual Network for Image Super-Resolution
Multi-scale Residual Pyramid Attention Network for Monocular Depth Estimation
Multi-scale Response Analysis and Displacement Prediction of Landslides Using Deep Learning with JTFA: A Case Study in the Three Gorges Reservoir, China
Multi-scale Retinex for Color Image Enhancement
Multi-scale Road Matching Based on the Summation Product of Orientation and Distance and Shape Descriptors
Multi-scale Rotation-Invariant Haar-Like Feature Integrated CNN-Based Ship Detection Algorithm of Multiple-Target Environment in SAR Imagery
Multi-scale Salience Distance Transforms
Multi-scale saliency detection via inter-regional shortest colour path
Multi-scale saliency of 3D colored meshes
Multi-scale Saliency-Guided Compressive Sensing Approach to Efficient Robotic Laser Range Measurements
Multi-scale salient object detection using graph ranking and global-local saliency refinement
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 Selective Image Texture Smoothing Via Intuitive Single Clicks
Multi-scale Selective Residual Learning for Non-Homogeneous Dehazing
Multi-scale self-attention mixup for graph classification
Multi-scale self-attention-based feature enhancement for detection of targets with small image sizes
Multi-scale Self-Calibrated Dual-Attention Lightweight Residual Dense Deraining Network Based on Monogenic Wavelets
Multi-scale Self-calibrated Network for Image Light Source Transfer
Multi-scale self-supervised representation learning with temporal alignment for multi-rate time series modeling
Multi-scale Semantic and Detail Extraction Network for Lightweight Person Re-Identification
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 Semi-Transparent Blotch Removal on Archived Photographs using Bayesian Matting Techniques and Visibility Laws
Multi-scale Separable Network for Ultra-High-Definition Video Deblurring
Multi-scale sequential network for semantic text segmentation and localization
Multi-scale Settlement Matching Algorithm Based on ARG, A
Multi-scale Shape Index-Based Local Binary Patterns for Texture Classification
Multi-scale Shape Representation for Profiled Fibers
Multi-scale shared features for cascade object detection
Multi-scale Ship Detection Algorithm Based on a Lightweight Neural Network for Spaceborne SAR Images
Multi-scale Ship Detection Algorithm Based on YOLOv7 for Complex Scene SAR Images
Multi-scale ship tracking via random projections
Multi-scale signed recurrence plot based time series classification using inception architectural networks
Multi-scale Similarity Guidance Few-Shot Network for Ship Segmentation in SAR Images
Multi-scale single image dehazing based on the fusion of global and local features
Multi-scale Single Image Dehazing Using Laplacian and Gaussian Pyramids
Multi-scale Single Image Dehazing Using Perceptual Pyramid Deep Network
Multi-scale Singularity Trees: Soft-Linked Scale-Space Hierarchies
Multi-scale Singularity Trees: Soft-Linked Scale-Space Hierarchies
Multi-scale space vehicle component identification
Multi-scale Space-time Registration of Growing Plants
Multi-scale Sparse Graph Convolutional Network For the Assessment of Parkinsonian Gait
Multi-scale Spatial Attention Region Proposal Network for High-Resolution Optical Remote Sensing Imagery, A
Multi-scale Spatial Attention-Guided Monocular Depth Estimation With Semantic Enhancement
Multi-scale spatial convolution algorithm for lane line detection and lane offset estimation in complex road conditions
Multi-scale Spatial Difference Approach to Estimating Topography Correlated Atmospheric Delay in Radar Interferograms, A
Multi-scale Spatial Location Preference for Semantic Segmentation
Multi-scale spatial-spectral fusion based on multi-input fusion calculation and coordinate attention for hyperspectral image classification
Multi-scale spatial-temporal attention graph convolutional networks for driver fatigue detection
Multi-scale Spatial-Temporal Attention Model for Person Re-Identification in Videos, A
Multi-scale Spatially-Asymmetric Recalibration for Image Classification
Multi-scale Spatiotemporal Change Characteristics Analysis of High-Frequency Disturbance Forest Ecosystem Based on Improved Spatiotemporal Cube Model
Multi-scale Spatiotemporal Feature Fusion Network for Video Saliency Prediction
Multi-scale Spatiotemporal Pattern Analysis and Simulation (MSPAS) Model with Driving Factors for Land Cover Change and Sustainable Development Goals: A Case Study of Nepal
Multi-scale Spectral Loss Revisited
Multi-scale Spectral-Spatial Attention Network for Hyperspectral Image Classification Combining 2D Octave and 3D Convolutional Neural Networks
Multi-scale stacked sequential learning
Multi-scale Statistical Detection and Ballistic Imaging Through Turbid Media
Multi-scale Stereo Matching
Multi-scale structural kernel representation for object detection
Multi-scale Structural Saliency for Signature Detection
Multi-scale Structure from Multi-Views by d{2}G Filtered 3D Voting
Multi-scale Structure-Aware Network for Human Pose Estimation
Multi-scale Structure-Aware Network for Weakly Supervised Temporal Action Detection
Multi-scale Structured Dictionary Learning for 3-D Point Cloud Attribute Compression
Multi-scale superpatch matching using dual superpixel descriptors
Multi-scale Superpixel based Hierarchical Attention model for brain CT classification
Multi-scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of Very-High-Resolution Remotely Sensed Imagery, A
Multi-scale supervised network for crowd counting
Multi-scale Supervised Network for Human Pose Estimation
multi-scale technique for detecting forest-cover boundary from L-band SAR images, A
Multi-scale techniques for document page segmentation
Multi-scale Temporal Cues Learning for Video Person Re-Identification
Multi-scale Temporal Feature Fusion for Few-Shot Action Recognition
Multi-scale Temporal Information Extractor for Gait Recognition
Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification
Multi-scale tensor vector field active contour
Multi-scale terrain texturing using generative adversarial networks
Multi-scale Tetrahedral Fusion of a Similarity Reconstruction and Noisy Positional Measurements
Multi-scale Text Line Segmentation Method in Freestyle Handwritten Documents, A
Multi-scale texture classification from generalized locally orderless images
Multi-scale Tikhonov Regularization Scheme for Implicit Surface Modelling, A
Multi-scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model
Multi-scale Topo-morphometric Opening of Arteries and Veins: An Evaluative Study via Pulmonary CT Imaging
Multi-scale Topological Features for Hand Posture Representation and Analysis
multi-scale topological shape model for single and multiple component shapes, A
Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration
Multi-scale Transformer Network for Saliency Prediction on 360-Degree Images
Multi-scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis
Multi-scale Transformer-Based Feature Combination for Image Retrieval
Multi-scale Transformer-Based Matching Network for Generalizable Person Re-Identification
Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification, A
Multi-scale Tubular Structure Detection in Ultrasound Imaging
Multi-scale Two-step Fast Search Algorithm For Block Motion Estimation, A
Multi-scale underwater descattering
Multi-scale Validation and Uncertainty Analysis of GEOV3 and MuSyQ FVC Products: A Case Study of an Alpine Grassland Ecosystem
Multi-scale Validation of MODIS LAI Products Based on Crop Growth Period
Multi-scale Validation of SMAP Soil Moisture Products over Cold and Arid Regions in Northwestern China Using Distributed Ground Observation Data
Multi-scale Validation Strategy for Albedo Products over Rugged Terrain and Preliminary Application in Heihe River Basin, China, A
Multi-scale Vector Spline Method for Estimating the Fluids Motion on Satellite Images, A
Multi-scale Vector-Ridge-Detection for Perceptual Organization Without Edges
Multi-scale Vectorial L-tau-TV Framework for Color Image Restoration, A
Multi-scale vehicle logo recognition by directional dense SIFT flow parsing
Multi-scale Vessel Boundary Detection
Multi-scale Video Inverse Tone Mapping with Deformable Alignment
Multi-scale Video Super-Resolution Transformer With Polynomial Approximation
Multi-scale video text detection based on corner and stroke width verification
Multi-scale Virtual Terrain for Hierarchically Structured Non-Location Data, A
Multi-scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding
Multi-scale Visual Aggregation Residual Network for Super-Resolution
Multi-scale visual attention & saliency modelling with decision theory
Multi-scale visual attention for attribute disambiguation in zero-shot learning
Multi-scale Visual Perception Based Progressive Feature Interaction Network for Stereo Image Super-Resolution
Multi-scale visual tracking by sequential belief propagation
Multi-scale volumes for deep object detection and localization
Multi-scale Voxel Class Balanced ASPP for LIDAR Pointcloud Semantic Segmentation
Multi-scale Voxel Hashing and Efficient 3D Representation for Mobile Augmented Reality
Multi-scale Water Extraction Convolutional Neural Network (MWEN) Method for GaoFen-1 Remote Sensing Images, A
Multi-scale Wavelet 3D-CNN for Hyperspectral Image Super-Resolution, A
Multi-scale Wavelet Transformer for Face Forgery Detection
Multi-scale Weight Sharing Network for Image Recognition
Multi-scale Weighted Back Projection Imaging Technique for Ground Penetrating Radar Applications, A
Multi-scale Weighted Nuclear Norm Image Restoration
Multi-scale, multi-level, heterogeneous features extraction and classification of volumetric medical images
Multi-scale, Pyramid Texture Segmentation Approaches
Multi-scale, Scale Aware Crowd Counting
Multi-scale, Scale Aware Crowd Counting
Multi-scale, Torsion-Based Shape Representations for Space Curves
Multi-scale/multi-resolution Kronecker compressive imaging
Multi-Sensor and Multi-scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems
Multi-Sensor Large-scale Dataset for Multi-View 3D Reconstruction
Multi-source Multi-scale Counting in Extremely Dense Crowd Images
Multi-Spectral Fusion and Denoising of RGB and NIR Images Using Multi-scale Wavelet Analysis
Multi-spectral Satellite Image Registration Using scale-Restricted SURF
Multi-Stage Semantic Segmentation Quantifies Fragmentation of Small Habitats at a Landscape scale
Multi-Step Quantization Of A Multi-scale Network For Crowd Counting
Multi-Stream scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images
Multi-Target Multi-Camera Vehicle Tracking for City-scale Traffic Management
Multi-Task Learning for Calorie Prediction on a Novel Large-scale Recipe Dataset Enriched with Nutritional Information
Multi-Task Learning via scale Aware Feature Pyramid Networks and Effective Joint Head
Multi-template scale-Adaptive Kernelized Correlation Filters
Multi-Temporal InSAR Parallel Processing for Sentinel-1 Large-scale Surface Deformation Mapping
Multi-Temporal Landsat-8 Images for Retrieval and Broad scale Mapping of Soil Copper Concentration Using Empirical Models
Multi-Temporal Network for Improving Semantic Segmentation of Large-scale Landsat Imagery, A
Multi-Temporal SAR Data Large-scale Crop Mapping Based on U-Net Model
Multi-Time scale Analysis of Regional Aerosol Optical Depth Changes in National-Level Urban Agglomerations in China Using Modis Collection 6.1 Datasets from 2001 to 2017
Multi-vehicles dynamic navigating method for large-scale event crowd evacuations
Multi-view and Multi-scale Recognition of Symmetric Patterns
Multi-view Gait Fusion for Large scale Human Identification in Surveillance Videos
Multi-view Inverse Rendering for Large-scale Real-world Indoor Scenes
Multi-view multi-scale CNNs for lung nodule type classification from CT images
Multi-View Object Retrieval via Multi-scale Topic Models
Multi-view scans alignment for 3D spherical mosaicing in large-scale unstructured environments
Multi-VMap: A Multi-scale Model for Vector Maps
Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-scale Application on Downtown Toronto
Multicamera human detection and tracking supporting natural interaction with large-scale displays
Multichannel Autofocusing Scheme for Gray Level Shape scale Detection, A
Multicontext-adaptive indexing and search for large-scale video navigation
Multidimensional Signal Compression Using Multi-scale Recurrent Patterns with Smooth Side-Match Criterion
MultiFeNet: Multi-scale feature scaling in deep neural network for the brain tumour classification in MRI images
Multifractal Anomaly Detection in Images via Space-scale Surrogates
Multigrid Optimization for Large-scale Ptychographic Phase Retrieval
Multilayer Soil Moisture Mapping at a Regional scale from Multisource Data via a Machine Learning Method
Multimodal and Multilevel Ranking Scheme for Large-scale Video Retrieval, A
Multimodal Approach for Natural Biomedical Multi-scale Exploration
Multimodal Discriminative Binary Embedding for Large-scale Cross-Modal Retrieval
Multimodal Image Matching: A scale-Invariant Algorithm and an Open Dataset
Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global scales
Multimodal template matching based on gradient and mutual information using scale-space
Multiobject Detection of Targets with Fine Details, scale and Translation Variations
Multiphase Level Set Evolution Scheme for Aerial Image Segmentation Using Multi-scale Image Geometric Analysis, A
Multiple Concentric Gating Traffic Control in Large-scale Urban Networks
Multiple feature hashing for real-time large scale near-duplicate video retrieval
Multiple Feature Hashing Learning for Large-scale Remote Sensing Image Retrieval
Multiple feature kernel hashing for large-scale visual search
Multiple queries for large scale specific object retrieval
Multiple Resolution Edge Detectors to Improve Performance, Hierarchical, Multi-scale
Multiple Resolution Representation and Probabilistic Matching of 2-D Gray-scale Shape
Multiple scale correlation of chirp signal by discrete wavelet transform
Multiple scale correlation of signals by shift-invariant discrete wavelet transform
Multiple scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection
Multiple scale-specific representations for improved human action recognition
Multiple UAV Flights across the Growing Season Can Characterize Fine scale Phenological Heterogeneity within and among Vegetation Functional Groups
Multiple-Object Tracking in Large-scale Scene
Multiple-scale Segmentation and Representation of Solid Plane Shapes
Multiple-scale Variations of Sea Ice and Ocean Circulation in the Bering Sea Using Remote Sensing Observations and Numerical Modeling
Multiply-rooted multiscale models for large-scale estimation
Multiresolution Analysis of Ridges and Valleys in Grey-scale Images
Multiresolution Gray-scale and Rotation Invariant Texture Classification with Local Binary Patterns
Multiresolution Segmentation of Natural Images: From Linear to Nonlinear scale-Space Representations
Multiscale and local search methods for real time region tracking with particle filters: local search driven by adaptive scale estimation on GPUs
Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification
Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification
Multiscale Centerline Detection by Learning a Scale-Space Distance Transform
Multiscale contour corner detection based on local natural scale and wavelet transform
Multiscale Deep Alternative Neural Network for Large-Scale Video Classification
Multiscale deformable registration using edge preserving scale space for adaptive radiation therapy
Multiscale Dictionary Learning via Cross-Scale Cooperative Learning and Atom Clustering for Visual Signal Processing
Multiscale Image Registration Using Scale Trace Correlation
Multiscale Measures in Linear Scale-Space for Characterizing Cerebral Functional Activations in 3D PET Difference Images
Multiscale medial axis through a complete set of optimal scale ridges
Multiscale morphological segmentation of gray-scale images
Multiscale Recursive Medians, Scale-Space, and Transforms with Applications to Image-Processing
MultiSeg: Semantically Meaningful, scale-Diverse Segmentations From Minimal User Input
Multispectral Joint Image Restoration via Optimizing a scale Map
Multispectral target detection based on the space-spectrum structure constraint with the multi-scale hierarchical model
Multitask learning for large-scale semantic change detection
Multitemporal scale and Spatial-Temporal Transformer Network for Temporal Action Localization, A
Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using scale Mixture Models
MUSAK: A Multi-scale Space Kinematic Method for Drone Detection
MuSCoWERT: multi-scale consistence of weighted edge Radon transform for horizon detection in maritime images
MUSE-VAE: Multi-scale VAE for Environment-Aware Long Term Trajectory Prediction
MUSE: Robust Surface Fitting Using Unbiased scale Estimates
Mush: Multi-scale Hierarchical Feature Extraction for Semantic Image Synthesis
MUSIQ: Multi-scale Image Quality Transformer
Mutual information aspects of scale space images
Mutual Multi-scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity, A
mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images, A
MUVA: A New Large-scale Benchmark for Multi-view Amodal Instance Segmentation in the Shopping Scenario
MVHM: A Large-scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation
MVImgNet: A Large-scale Dataset of Multi-view Images
MVSS-Net: Multi-View Multi-scale Supervised Networks for Image Manipulation Detection
n-SIFT: n-Dimensional scale Invariant Feature Transform
Nano-scale context-sensitive semantic segmentation
Nano-scale particle classification using image histogram maximum value index of Rayleigh scattered images
Nanometer-scale Height Measurements in Micromachined Picoliter Vials Based on Interference Fringe Analysis
National and Regional scale DEMs Created from Airborne InSAR
National scale 3D Mapping of Soil pH Using a Data Augmentation Approach
National scale Land Cover Classification for Ecosystem Services Mapping and Assessment, Using Multitemporal Copernicus EO Data and Google Earth Engine
National scale Maize Yield Estimation by Integrating Multiple Spectral Indexes and Temporal Aggregation
National scale Spatial Variation in Artificial Light at Night
National-scale 1-km Resolution PM2.5 Estimation Model over Japan Using MAIAC AOD and a Two-Stage Random Forest Model, A
National-scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine
National-scale Estimates of Ground-Level PM2.5 Concentration in China Using Geographically Weighted Regression Based on 3 km Resolution MODIS AOD
National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China
National-scale imperviousness mapping and detection of urban land changes
National-scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making
National-scale Variation and Propagation Characteristics of Meteorological, Agricultural, and Hydrological Droughts in China
Natural images scale invariance and high-fidelity image restoration
Navigation and Mapping in Large-scale Space
NCKU-VTF Dataset and a Multi-scale Thermal-to-Visible Face Synthesis System, The
Near Real-Time Irrigation Detection at Plot scale Using Sentinel-1 Data
Near-Surface Geophysical Characterization of a Marble Deposit to Promote a Sustainable Small-scale Mining
Near-Surface Wind Profiling in a Utility-scale Onshore Wind Farm Using Scanning Doppler Lidar: Quality Control and Validation
Nearest Archetype Hull Methods for Large-scale Data Classification
Needles in a Haystack: Tracking City-scale Moving Vehicles From Continuously Moving Satellite
Neighborhood Discriminant Hashing for Large-scale Image Retrieval
Neonatal Pain scales and Human Visual Perception: An Exploratory Analysis Based on Facial Expression Recognition and Eye-tracking
NeRF-LOAM: Neural Implicit Representation for Large-scale Incremental LiDAR Odometry and Mapping
NeRFusion: Fusing Radiance Fields for Large-scale Scene Reconstruction
Nested scale-Editing for Conditional Image Synthesis
nested U-shape network with multi-scale upsample attention for robust retinal vascular segmentation, A
NETRA: An Architecture for a Large scale Multiprocessor Vision System
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage
Network of Experts for Large-scale Image Categorization
Network-Flow-Based Efficient Vehicle Dispatch for City-scale Ride-Hailing Systems
Neural Cell Segmentation in Large-scale 3D Color Fluorescence Microscopy Images for Developemental Neuroscience
Neural Data Server: A Large-scale Search Engine for Transfer Learning Data
Neural Image Compression via Attentional Multi-scale Back Projection and Frequency Decomposition
Neural Multi-scale Image Compression
Neural recurrent estimator to gray scale image restoration based on 2D Kalman filtering
Neuronal Population Reconstruction From Ultra-scale Optical Microscopy Images via Progressive Learning
New Algorithm for Large-scale Geographically Weighted Regression with K-Nearest Neighbors, A
New Algorithm for Local Blur-scale Computation and Edge Detection, A
New Approach for Identification of Potential Rockfall Source Areas Controlled by Rock Mass Strength at a Regional scale, A
New Approach for Line Extraction and its Integration in a Multi-scale, Multi-Abstraction-Level Road Extraction System, A
New Approach for scale, Rotation, and Translation Invariant Pattern-Recognition
New Approach for Synthesis and Recognition of Large scale Handwritten Chinese Words, A
New approach for the skeletonization of handwritten characters in gray-scale images
New Approach for Understanding Urban Microclimate by Integrating Complementary Predictors at Different scales in Regression and Machine Learning Models, A
new approach to computation of curvature scale space image for shape similarity retrieval, A
New Approach To Low-Level Retrieving of Grey scale Images from Image Data Base, A
New Approach to scale-Space Image, A
New Approach to the Verification of Chinese Signatures with Variant Orientations and scales Using Relaxation and State Space Search Methods, A
New Approximation of a scale Space Kernel on SE(3) and Applications in Neuroimaging
New Blockwise Algorithm for Large-scale Images Robust Watermarking, The
New Cloud-edge-terminal Resources Collaborative Scheduling Framework For Multi-level Visualization Tasks of Large-scale Spatio-temporal Data, A
New colour fusion deep learning model for large-scale action recognition
new deep representation for large-scale scene classification, A
new distance for scale-invariant 3D shape recognition and registration, A
New ECOSTRESS and MODIS Land Surface Temperature Data Reveal Fine-scale Heat Vulnerability in Cities: A Case Study for Los Angeles County, California
New Edge Detector Integrating scale-Spectrum Information, A
New Feasible Approach to Multi-dimensional scale Saliency, A
New GAN-Based Anomaly Detection (GBAD) Approach for Multi-Threat Object Classification on Large-scale X-Ray Security Images, A
new generalised a scale spaces quadrature filters, A
New Geodesic Distance Transforms for Gray-scale Images
new image registration scheme based on curvature scale space curve matching, A
New Imaging Mobile Mapping Device Based on High Resolution Videogrammetry for Large-scale Outdoor 3d Reconstruction
New Large scale Dynamic Texture Dataset with Application to ConvNet Understanding, A
New Large-scale Multi-purpose Handwritten Farsi Database, A
New Lightweight Convolutional Neural Network for Multi-scale Land Surface Water Extraction from GaoFen-1D Satellite Images, A
New Local-Feature Framework for scale-Invariant Detection of Partially Occluded Objects, A
New Look at Public Services Inequality: The Consistency of Neighborhood Context and Citizens' Perception across Multiple scales, A
New Mapping Function for Spaceborne TEC Conversion Based on the Plasmaspheric scale Height, A
New Method for Crop Type Mapping at the Regional scale Using Multi-Source and Multi-Temporal Sentinel Imagery, A
New Method for Large-scale Landslide Classification from Satellite Radar, A
New Method for Long-Term River Discharge Estimation of Small- and Medium-scale Rivers by Using Multisource Remote Sensing and RSHS: Application and Validation, A
New Method of De-Aliasing Large-scale High-Frequency Barotropic Signals in the Mediterranean Sea, A
New Methodology for Gray-scale Character Segmentation and Recognition, A
New Metric for Gray-scale Image Comparison, A
new multi-scale framework for convolutive blind source separation, A
New Multi-scale Sliding Window LSTM Framework (MSSW-LSTM): A Case Study for GNSS Time-Series Prediction, A
new multiplicative watermark detector in the contourlet domain using t Location-scale distribution, A
New optimised region-based multi-scale image fusion method for thermal and visible images
New spatial-organization-based scale and rotation invariant features for heterogeneous-content camera-based document image retrieval
New Technique to Estimate Precipitation at Fine scale Using Multifrequency Satellite Observations Over Indian Land and Oceanic Regions, A
New Thinning Algorithm for Gray scale Images by the Relaxation Technique, A
New Tiling Scheme for 2-D Continuous Wavelet Transform With Different Rotation Parameters at Different scales Resulting in a Tighter Frame, A
new TLD target tracking method based on improved correlation filter and adaptive scale, A
New variants of a method of MRI scale standardization
NEWSFARM: A Large-scale Chinese Corpus of Long News Summarization
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-Level Features for Large-scale Video Classification
nocaps: novel object captioning at scale
Noise Level Estimation for Natural Images Based on scale-Invariant Kurtosis and Piecewise Stationarity
Noise-robust transparent visualization of large-scale point clouds acquired by laser scanning
NOMAD: A Natural, Occluded, Multi-scale Aerial Dataset, for Emergency Response Scenarios
non-alternating graph hashing algorithm for large-scale image search, A
Non-causal non-parametric multi-scale Markov Random Field synthesis of volumetric textures from a unique 2D sample
Non-Contact In-Plane Movement Estimation of Floating Covers Using Finite Element Formulation on Field-scale DEM
Non-convex PDE scale Space, A
Non-Incremental Derivation of scale and Pose from a Network of Relative Orientations
Non-Linear Direct Multi-scale Image Enhancement Based on the Luminance and Contrast Masking Characteristics of the Human Visual System
Non-linear scale-selection for image compression improvement obtained by perceptual distortion criteria
Non-linear scale-Spaces Isomorphic to the Linear Case
Non-Linear scale-Spaces Isomorphic to the Linear Case with Applications to Scalar, Vector and Multispectral Images
Non-Local Robust Quaternion Matrix Completion for Large-scale Color Image and Video Inpainting
Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions
Non-Parametric Multi-scale Curve Smoothing
non-parametric scale-based corner detector, A
Non-rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps
Nonlinear Diffusion scale-Spaces
Nonlinear Effects of Landscape Patterns on Ecosystem Services at Multiple scales Based on Gradient Boosting Decision Tree Models
Nonlinear filtering approach to 3-D gray-scale image interpolation
nonlinear image contrast sharpening approach based on Munsell's scale, A
Nonlinear Inverse scale Space Method For A Convex Multiplicative Noise Model, A
Nonlinear Inverse scale Space Methods For Total Variation Blind Deconvolution
Nonlinear Moving Horizon Estimation for Large-scale Urban Road Networks
Nonlinear multi-scale contrast enhancement for chest radiograph
Nonlinear scale Space Theory in Texture Classification Using Multiple Classifier Systems
Nonlinear scale Space with Spatially Varying Stopping Time
Nonlinear scale-Space
Nonlinear scale-space filtering and multiresolution system
Nonlinear scale-space from n-dimensional sieves
Nonlinear scale-Space Representation with Morphological Levelings
Nonlinear Shape Normalization Methods for Gray-scale Handwritten Character Recognition
Normalization of Face Illumination Based on Large-and Small-scale Features
Normalizing Flows With Multi-scale Autoregressive Priors
Note on Genetic Algorithms for Large-scale Feature Selection, A
Note on Practical Uses of Gray-scale Image Analysis in Document Recognition, A
Note on the Umbra Transform in Gray-scale Morphology, A
Notes on Discrete Gaussian scale Space
Novel 2D-3D CNN with Spectral-Spatial Multi-scale Feature Fusion for Hyperspectral Image Classification, A
Novel 3-D Color Histogram Equalization Method With Uniform 1-D Gray scale Histogram, A
Novel Approach for Identifying Urban Built-Up Area Boundaries Using High-Resolution Remote-Sensing Data Based on the scale Effect, A
novel approach for scale and rotation adaptive estimation based on time series alignment, A
Novel Approach to Large-scale Dynamically Weighted Directed Network Representation, A
Novel Approach to Predicting Urban Expansion by the Urban Scaling Law at a Single-City scale, A
Novel Building Extraction Network via Multi-scale Foreground Modeling and Gated Boundary Refinement, A
Novel Class-Imbalanced Ship Motion Data-Based Cross-scale Model for Sea State Estimation, A
Novel coarse-to-fine dual scale technique for tuberculosis cavity detection in chest radiographs
novel Gaussian scale Space-based joint MGRF framework for precise lung segmentation, A
novel generalization of the gray-scale histogram and its application to the automated visual measurement and inspection of wooden Pallets, A
novel geometric facial representation based on multi-scale extended local binary patterns, A
novel index structure for large scale image descriptor search, A
Novel Large-scale Digital Forensics Service Platform for Internet Videos, A
Novel Measurements of Fine-scale Albedo: Using a Commercial Quadcopter to Measure Radiation Fluxes
Novel Method for Constructing EEG Large-scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS, A
Novel Multi-scale Filter Profile-Based Framework for VHR Remote Sensing Image Classification
Novel Multi-scale Invariant Descriptor Based on Contour and Texture for Shape Recognition, A
novel multi-scale LRMR method for hyperspectral images restoration, A
Novel Multi-scale Representation for 2-D Shapes, A
Novel multi-scale retinex with color restoration on graphics processing unit
Novel Recurrent Encoder-Decoder Structure for Large-scale Multi-View Stereo Reconstruction From an Open Aerial Dataset, A
novel retinal vessel extraction method based on dynamic scales allocation, A
novel rotation/scale invariant template matching algorithm using weighted adaptive lifting scheme transform, A
Novel scale-Spectrum Space for Representing Gray-Level Shape, The
novel scheme of orientation and scale mapped RDC (OS-RDC) to improve compression in document images ensuring quality preservation, A
Novel Ship Detection Method For Large-scale Optical Satellite Images Based On Visual Lbp Feature And Visual Attention Model, A
Novel Spatial-Temporal Multi-scale Alignment Graph Neural Network Security Model for Vehicles Prediction, A
novel spatial-temporal multi-scale method for detection and analysis of infrared multiple moving objects, A
Novel Spatial-Temporal Voronoi Diagram-Based Heuristic Approach for Large-scale Vehicle Routing Optimization with Time Constraints, A
novel stability quantification of detected interest points in scale-space, A
Novel Strategy for Global Lane Detection Based on Key-Point Regression and Multi-scale Feature Fusion, A
novel surface water index using local background information for long term and large-scale Landsat images, A
Novel Synchronisation Approach for Digital Image Watermarking Based on scale Invariant Feature Point Detector, A
novel visual codebook model based on fuzzy geometry for large-scale image classification, A
Novel Weight-Shared Multi-Stage CNN for scale Robustness, A
Novel Window-Based Corner Detection Algorithm for Gray-scale Images, A
NSSNet: scale-Aware Object Counting With Non-Scale Suppression
NSSNet: scale-Aware Object Counting With Non-Scale Suppression
NTrans-Net: A Multi-scale Neutrosophic-Uncertainty Guided Transformer Network for Indoor Depth Completion
NTU RGB+D 120: A Large-scale Benchmark for 3D Human Activity Understanding
NTU RGB+D: A Large scale Dataset for 3D Human Activity Analysis
Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-scale Sea Ice Surface Roughness
Numerical Modeling and Parameter Sensitivity Analysis for Understanding scale-Dependent Topographic Effects Governing Anisotropic Reflectance Correction of Satellite Imagery
Numerical models to forecast the sugarcane production in regional scale based on time series of NDVI/AVHRR images
Numerical Solution Schemes for Continuous-scale Morphology
Numerical Study of Roughness scale Effects on Ocean Radar Scattering Using the Second-Order SSA and the Moment Method, A
Numerically efficient algorithms for anisotropic scale and translation Tchebichef moment invariants
NV-Tree: nearest neighbors at the billion scale
NWPU-Crowd: A Large-scale Benchmark for Crowd Counting and Localization
O(N) implicit subspace embedding for unsupervised multi-scale image segmentation
O3S-MTP: Oriented star sampling structure based multi-scale ternary pattern for texture classification
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
OASIS: A Large-scale Dataset for Single Image 3D in the Wild
Object class recognition by unsupervised scale-invariant learning
Object classification with multi-scale autoconvolution
Object Counting in Remote Sensing via Triple Attention and scale-Aware Network
Object detection at multiple scales improves accuracy
Object detection based on scale-invariant partial shape matching
Object Detection from Large-scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
Object Detection in Aerial Images: A Large-scale Benchmark and Challenges
Object detection in gray scale images based on invariant polynomial features
Object Detection in High Resolution Remote Sensing Imagery Based on Convolutional Neural Networks With Suitable Object scale Features
Object Detection in Multi-channel and Multi-scale Images Based on the Structural Tensor
Object Detection in Remote Sensing Images Based on Adaptive Multi-scale Feature Fusion Method
Object Detection Using Contrast Based scale-Space
Object Detection With DoG scale-Space: A Multiple Kernel Learning Approach
Object detection with feature stability over scale space
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemsets With Multi-scale Features
Object Reacquisition and Tracking in Large-scale Smart Camera Networks
Object Recognition from Local scale-Invariant Features
Object Recognition Using Steerable Filters at Multiple scales
Object Retrieval by Query with Sensibility Based on the KANSEI-Vocabulary scale
Object scale selection of hierarchical image segmentation with deep seeds
Object Shape Before Boundary Shape: scale-Space Medial Axes
Object Skeleton Extraction in Natural Images by Fusing scale-Associated Deep Side Outputs
Object Tracking by Asymmetric Kernel Mean Shift with Automatic scale and Orientation Selection
object tracking method using particle filter and scale space model, An
Object-Based Approach for Multi-scale Mangrove Composition Mapping Using Multi-Resolution Image Datasets
Object-Based Change Detection in Urban Areas: The Effects of Segmentation Strategy, scale, and Feature Space on Unsupervised Methods
Object-Based Change Detection Using Multiple Classifiers and Multi-scale Uncertainty Analysis
Object-based image analysis for meso-scale approach: The experience of landcover mapping of the Brazilian Coastal Rainforest Biome
Object-based image analysis through nonlinear scale-space filtering
Object-Based Land-Cover Mapping with High Resolution Aerial Photography at a County scale in Midwestern USA
Object-Based Verification and Update of a Large-scale Topographic Database
Object-Based vs. Pixel-Based Mapping of Fire Scars Using Multi-scale Satellite Data
Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and scale Cues, An
Object-oriented Change Detection Based On Multi-scale Approach
Object-oriented Change Detection For Remote Sensing Images Based On Multi-scale Fusion
Object-oriented wavelet multi-resolution image analysis of the Siberian GBFM radar mosaic combined with MERIS imagery for continental scale land cover mapping
Objective Measure Of Forensic Pathology Image Quality: The Adaptation of the National Imagery Interpretability Rating scale to Forensic Pathology Images, An
Objective picture quality scale for color image coding
Objective picture quality scale for video coding
ObjectNet3D: A Large scale Database for 3D Object Recognition
Objectron: A Large scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
Objects365: A Large-scale, High-Quality Dataset for Object Detection
Observation Model Based on scale Interactions for Optical Flow Estimation
Obstacle Detection and Multiple scale Motion Estimation
Occluded Person Re-Identification with Single-scale Global Representations
Occlusion Models for Natural Images: A Statistical Study of a scale-Invariant Dead Leaves Model
OE-CTST: Outlier-Embedded Cross Temporal scale Transformer for Weakly-supervised Video Anomaly Detection
Oil Well Detection via Large-scale and High-Resolution Remote Sensing Images Based on Improved YOLO v4
Omni-scale Feature Learning for Person Re-Identification
omni-scale global-local aware network for shadow extraction in remote sensing imagery, An
OmniSIFT: scale invariant features in omnidirectional images
On a Flood-Producing Coastal Mesoscale Convective Storm Associated with the Kor'easterlies: Multi-Data Analyses Using Remotely-Sensed and In-Situ Observations and Storm-Scale Model Simulations
On Automatic Selection of Temporal scales in Time-Causal Scale-Space
On Automatic Selection of Temporal scales in Time-Causal Scale-Space
On conversion from color to gray-scale images for face detection
On Dimensionality in Multiscale Morphological Scale-Space with Elliptic Poweroid Structuring Functions
On Generalized Entropies and scale-Space
On growth and formlets: Sparse multi-scale coding of planar shape
On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs
On Learning Semantic Representations for Large-scale Abstract Sketches
On Manifolds in Gaussian scale Space
On MAP optimality of gray-scale morphological filters
On scale and Resolution in Active Analysis of Local Image Structure
On scale and Resolution in the Analysis of Local Image Structure
On scale Definition Within Calibration of Multi-camera Systems In Multimedia Photogrammetry
On scale Initialization in Non-overlapping Multi-perspective Visual Odometry
On scale Selection for Differential Operators
On Semantic Solutions for Efficient Approximate Similarity Search on Large-scale Datasets
On Shape Recovery from scale-Space Moments on Untextured Surfaces
On SIFTs and their scales
On the Angular Update and Hyperparameter Tuning of a scale-Invariant Network
On the Axiomatic Foundations of Linear scale-Space: Combining Semi-Group Structure with Causality vs. Scale Invariance
On the Axiomatic Foundations of Linear scale-Space: Combining Semi-Group Structure with Causality vs. Scale Invariance
On the Axioms of scale Space Theory
On the Behaviour in scale-Space of Local Extrema and Blobs
On the Classification of Top Points in scale Space
On the Computation of a scale-Space Primal Sketch
On the Construction of a scale-Space for Discrete Images
On the Continuous Steering of the scale of Tight Wavelet Frames
On the Effect of Human Body Parts in Large scale Human Behaviour Recognition
On the Graph-Based Panorama Construction for 2D Large-scale Microscope Images
On the gray-scale inverse Hough transform
On the Handling of Spatial and Temporal scales in Feature Tracking
On the History of Gaussian scale-Space Axiomatics
On the Influence of scale Selection on Feature Detection for the Case of Linelike Structures
On the Influence of Shot scale on Film Mood and Narrative Engagement in Film Viewers
On the Invariance of Differential scale Invariants
On the nearly scale-independent rank behavior of image quality metrics
On the Optimal Number of scales in Estimation of Fractal Signals Using Wavelets and Filter Banks
On the Properties of Gray-scale Distance Transforms
On the Rate of Structural Change in scale Spaces
On the Representation and Matching of Qualitative Shape at Multiple scales
On the Representation of Image Structures via scale Space Entropy Conditions
On the Road to Large-scale 3D Monocular Scene Reconstruction using Deep Implicit Functions
On the Role of Representations for Reasoning in Large-scale Urban Scenes
On the scale Effect of Relationship Identification between Land Surface Temperature and 3D Landscape Pattern: The Application of Random Forest
On the scale-Space Theorem of Chen and Yan
On the Serviceability of Mobile Vehicular Cloudlets in a Large-scale Urban Environment
On the Statistical Determination of Optimal Camera Configurations in Large scale Surveillance Networks
On the use of duration-corrected N-best hypotheses for text recognition in gray-scale document images
On the Use of Glyphmaps for Analysing the scale and Temporal Spread of COVID-19 Reported Cases
On Theory and Regularization of scale-Limited Extrapolation
On-Line Large scale Semantic Fusion
On-the-fly learning for visual search of large-scale image and video datasets
One dimensional multiple scale edge detection
One Model to Synthesize Them All: Multi-Contrast Multi-scale Transformer for Missing Data Imputation
One-pass Multi-view Clustering for Large-scale Data
Online Adaptive Kernel Learning with Random Features for Large-scale Nonlinear Classification
Online Approximate Model Representation Based on scale-Normalized and Fronto-Parallel Appearance
Online boosted tracking with discriminative feature selection and scale adaptation
Online Continuous scale Estimation of Hand Gestures
Online Estimation and Prediction of Large-scale Network Traffic From Sparse Probe Vehicle Data
Online image search result grouping with MapReduce-based image clustering and graph construction for large-scale photos
Online learning for parameter selection in large scale image search
Online scale Adaptive Visual Tracking Based on Multilayer Convolutional Features
Online Vicept learning for web-scale image understanding
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution
Open Street Map Data As Source For Built-up And Urban Areas On Global scale
OpenForensics: Large-scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild
OpenGF: An Ultra-Large-scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World
OpenOccupancy: A Large scale Benchmark for Surrounding Semantic Occupancy Perception
OpenSentinelMap: A Large-scale Land Use Dataset using OpenStreetMap and Sentinel-2 Imagery
Openwebglobe: An Open Source SDK for Creating Large-scale Virtual Globes on a WEBGL Basis
Operational Before-After-Control-Impact (BACI) Designed Platform for Vegetation Monitoring at Planetary scale, An
Operational Data Store of Multi-Platform, Multi-Source, Multi-scale, Multi-Temporal Data Sets
Operational Framework for Mapping Irrigated Areas at Plot scale Using Sentinel-1 and Sentinel-2 Data, An
Operational High Resolution Land Cover Map Production at the Country scale Using Satellite Image Time Series
Operational Large-scale Segmentation of Imagery Based on Iterative Elimination
Optic Disk Localization for Gray-scale Retinal Images Based on Patch Filtering
Optic flow based on multi-scale anchor point movement and discontinuity-preserving regularization
Optic Flow from Multi-scale Dynamic Anchor Point Attributes
Optic Flow scale Space
Optic Flow Using Multi-scale Anchor Points
Optical Flow -- Hierarchical, Pyramid, Multi-Grid, Multi-scale Approaches
Optical Flow and Total Least Squares Solution for Multi-scale Data in an Over-Determined System
Optical pattern recognition using correlation procedure for rotation- and scale-invariant feature extraction
Optimal Bayesian Resampling for OFDM Signaling Over Multi-scale Multi-lag Channels
Optimal Closed Boundary Identification in Gray-scale Imagery
Optimal Image-Selection Algorithm for Large-scale Stereoscopic Mapping of UAV Images, An
Optimal L(1) Approximation of the Gaussian Kernel with Application to scale-Space Construction
Optimal Mean-Absolute-Error Filtering of Gray-scale Signals by the Morphological Hit-or-Miss Transform
Optimal Mean-Square N-Observation Digital Morphological Filters: II. Optimal Gray-scale Filters
Optimal multi-scale geometric fusion based on non-subsampled contourlet transform and modified central force optimization
Optimal Multi-scale Matching
Optimal Nodes Selectiveness from WSN to Fit Field scale Albedo Observation and Validation in Long Time Series in the Foci Experiment Areas, Heihe
Optimal scale for Edge Detection, An
Optimal scale Selection for Circular Edge Extraction
Optimal Scheduling for Highway Emergency Repairs Under Large-scale Supply-Demand Perturbations
Optimal Segmentation scale Parameter, Feature Subset and Classification Algorithm for Geographic Object-Based Crop Recognition Using Multisource Satellite Imagery
Optimal selection from extremely redundant satellite images for efficient large-scale mapping
Optimal spatial scale for local region-based active contours
Optimising for scale in Globally Multiply-Linked Gravitational Point Set Registration Leads to Singularities
Optimization for calibration of large-scale optical measurement positioning system by using spherical constraint
Optimization of 2-Dimensional Model Matching Under Rotation, Translation and scale
Optimization of Multi-Ecosystem Model Ensembles to Simulate Vegetation Growth at the Global scale
Optimization of Samples for Remote Sensing Estimation of Forest Aboveground Biomass at the Regional scale
Optimization Techniques For Assembly Planning Of Complex Models In Large-scale Virtual Environments
Optimized Dual Fire Attention Network and Medium-scale Fire Classification Benchmark
Optimized Large-scale Road Sensing Through Crowdsourced Vehicles
Optimized Transcoding for Large scale Adaptive Streaming Using Playback Statistics
Optimizing City-scale Traffic Through Modeling Observations of Vehicle Movements
Optimizing Image Registration by Mutually Exclusive scale Components
Optimizing multi-resolution segmentation scale using empirical methods: Exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2)
Optimizing the balance between area and orientation distortions for variable-scale maps
Optimizing Video Object Detection via a scale-Time Lattice
Optimum kernel function design from scale space features for object detection
Optimum Solution for scale Invariant Object Recognition Based on the Multiresolution Approximation, An
Ordered Trajectories for Large scale Human Action Recognition
Organic Matter Modeling at the Landscape scale Based on Multitemporal Soil Pattern Analysis Using RapidEye Data
Organismic-scale Remote Sensing of Canopy Foliar Traits in Lowland Tropical Forests
Organization of Smooth Image Curves at Multiple scales
Organizetion Multi-scale 3d Model Data To Meet Network Transmission
orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale, An
Orientation and scale Invariant Kernel-Based Object Tracking with Probabilistic Emphasizing
Orientation and scale invariant mean shift using object mask-based kernel
Orientation and scale Invariant Text Region Extraction in WWW Images
Orientation- and scale- Invariant Recognition of Textures in Multi-Object Scenes
Orientation- and scale-Invariant Multi-Vehicle Detection and Tracking from Unmanned Aerial Videos
Orientation-Adaptive Extension to scale-Adaptive Local Binary Patterns, An
original multi-scale algorithm to binarize images, An
Original Multi-Sensor Approach to scale-Based Image Analysis for Aerial and Satellite Images, An
OsaMOT: Occlusion and scale-aware multi-object tracking algorithm for low viewpoint
Out-of-Core Bundle Adjustment for Large-scale 3D Reconstruction
Overall Traffic Mode Prediction by VOMM Approach and AR Mining Algorithm With Large-scale Data
OverNet: Lightweight Multi-scale Super-Resolution with Overscaling Network
Pain intensity recognition via multi-scale deep network
Painting-91: a large scale database for computational painting categorization
Pairwise geometric matching for large-scale object retrieval
Pairwise weak geometric consistency for large scale image search
Palm vein recognition based on competitive coding scheme using multi-scale local binary pattern with ant colony optimization
PAMS: Quantized Super-resolution via Parameterized Max scale
Pan-Arctic Climate and Land Cover Trends Derived from Multi-Variate and Multi-scale Analyses (1981-2012)
Pan-sharpening via multi-scale and multiple deep neural networks
Panoramic Gaussian Mixture Model and large-scale range background substraction method for PTZ camera-based surveillance systems
Papaya Tree Detection with UAV Images Using a GPU-Accelerated scale-Space Filtering Method
Parallel adaptive sampling and reconstruction using multi-scale and directional analysis
Parallel Branch-Cut Algorithm Based on Simulated Annealing for Large-scale Phase Unwrapping
Parallel Computing Framework for Large-scale Air Traffic Flow Optimization, A
Parallel Creation of Vario-scale Data Structures for Large Datasets
parallel cross-modal search engine over large-scale multimedia collections with interactive relevance feedback, A
parallel fuzzy scale-space approach to the unsupervised texture separation, A
Parallel Hardware Architecture for scale and Rotation Invariant Feature Detection, A
Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction
Parallel implementation of exact dilations and multi-scale skeletonization
Parallel incremental power mean SVM for the classification of large-scale image datasets
Parallel Lasso for Large-scale Video Concept Detection
Parallel Layer Scanning Based Fast Dot/Dash Line Detection Algorithm for Large scale Binary Document Images
Parallel Method for Open Hole Filling in Large-scale 3D Automatic Modeling Based on Oblique Photography, A
Parallel Method for Texture Reconstruction in Large-scale 3D Automatic Modeling Based on Oblique Photography, A
Parallel Optimization for Large scale Interferometric Synthetic Aperture Radar Data Processing
Parallel Public Transportation System and Its Application in Evaluating Evacuation Plans for Large-scale Activities
Parallel scales for More Accurate Displacement Estimation in Phase-Based Image Registration
Parallelized Particle and Gaussian Sum Particle Filters for Large-scale Freeway Traffic Systems
Parameter Efficient Multi-scale Capsule Network, A
Parameter Reduction and Context Selection for Compression of Gray-scale Images
Parameterization of Centimeter-scale Sea Ice Surface Roughness Using Terrestrial LiDAR
Parsing scale-Space and Spatial Stability Analysis
Part-Aware Multi-scale Fully Convolutional Network for Pedestrian Detection, A
Part-Based Deep Hashing for Large-scale Person Re-Identification
Part-Based Player Identification Using Deep Convolutional Representation and Multi-scale Pooling
Partial-Duplicate Clustering and Visual Pattern Discovery on Web scale Image Database
Particle-Based Method for Large-scale Breaking Waves Simulation, A
Partitioning Range Images Using Curvature and scale
PartNet: A Large-scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
Passive Micron-scale Time-of-Flight with Sunlight Interferometry
Passive millimeter wave image classification with large scale Gaussian processes
Patch loss: A generic multi-scale perceptual loss for single image super-resolution
Patch-Based Approach for Artistic Style Transfer Via Constrained Multi-scale Image Matching, A
Patch-based scale Calculation for Real-time Visual Tracking
Patch-NetVLAD: Multi-scale Fusion of Locally-Global Descriptors for Place Recognition
PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes
Pattern Classification Approaches To Matching Building Polygons At Multiple scales
Pattern Mining in Large-scale Image and Video Sources
Pattern-Based Assessment of Land Cover Change on Continental scale With Application to NLCD 2001-2006
Pattern-Based Near-Duplicate Video Retrieval and Localization on Web-scale Videos
Paying attention for adjacent areas: Learning discriminative features for large-scale 3D scene segmentation
PCNet: Cloud Detection in FY-3D True-Color Imagery Using Multi-scale Pyramid Contextual Information
PCT: Large-scale 3d Point Cloud Representations Via Graph Inception Networks with Applications to Autonomous Driving
PDLC-LIO: A Precise and Direct SLAM System Toward Large-scale Environments With Loop Closures
Pedestrian Alignment Network for Large-scale Person Re-Identification
Pedestrian detection in crowded scenes via scale and occlusion analysis
Pedestrian Detection in Low-Resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)
Pedestrian detection using multi-scale squeeze-and-excitation module
Pedestrian Detection Using Multi-scale Structure-Enhanced Super-Resolution
Pedestrian proposal generation using depth-aware scale estimation
PEMCNet: An Efficient Multi-scale Point Feature Fusion Network for 3D LiDAR Point Cloud Classification
People Re-Identification by Multi-Branch CNN with Multi-scale Features
Perceiving color across scale: great and small, discrete and continuous
Perceptual Grouping Based on Iterative Multi-scale Tensor Voting
Perceptual scale-Space and Its Applications
Perceptual Steps Along Color scales
Performance Analysis of 1-D scale-Space Algorithms for Pulse Detection in Noisy Image Scans
Performance Analysis of Precipitation Datasets at Multiple Spatio-Temporal scales over Dense Gauge Network in Mountainous Domain of Tajikistan, Central Asia
Performance Evaluation of a Mathematical Formula Recognition System with a large scale of printed formula images
Performance Evaluation of CRW Reef-scale and Broad-Scale SST-Based Coral Monitoring Products in Fringing Reef Systems of Tobago
Performance Evaluation of CRW Reef-scale and Broad-Scale SST-Based Coral Monitoring Products in Fringing Reef Systems of Tobago
Performance Evaluation of scale-Interpolated Hessian-Laplace and Haar Descriptors for Feature Matching
Performance of GLASS and MODIS Satellite Albedo Products in Diagnosing Albedo Variations during Different Time scales and Special Weather Conditions in the Tibetan Plateau
Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal scales
Performances of low-level audio classifiers for large-scale music similarity
Persistence Based on LBP scale Space
Person re-identification based on multi-scale constraint network
Person Re-identification by Deep Learning Multi-scale Representations
Person Search by Multi-scale Matching
Perturbed Self-Distillation: Weakly Supervised Large-scale Point Cloud Semantic Segmentation
Petersen Graph Multi-Orientation Based Multi-scale Ternary Pattern (PGMO-MSTP): An Efficient Descriptor for Texture and Material Recognition
Petri-Net Based Multi-Objective Optimization in Multi-UAV Aided Large-scale Wireless Power and Information Transfer Networks
PFNet: Large-scale Traffic Forecasting With Progressive Spatio-Temporal Fusion
Phase Based Image Reconstruction in the Monogenic scale Space
Phase Filtering Method with scale Recurrent Networks for InSAR, A
Phase Singularities in scale-Space
Phase unmixing of TerraSAR-X staring spotlight interferograms in building scale for PS height and deformation
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-scale Electronic Health Records
Phonographic image recognition using fusion of scale invariant descriptor
Photogrammetric Recording And Reconstruction of Town scale Models: The Case of the Plan-relief of Strasbourg
Photogrammetric Solution for Analysis of Out-Of-Plane Movements of a Masonry Structure in a Large-scale Laboratory Experiment
Photorealistic Large-scale Urban City Model Reconstruction
Physical scale Intensity-Based Range Keypoints
Physical scale Keypoints: Matching and Registration for Combined Intensity/Range Images
Phytoplankton Biomass Dynamics in the Strait of Malacca within the Period of the SeaWiFS Full Mission: Seasonal Cycles, Interannual Variations and Decadal-scale Trends
pi-SIFT: A photometric and scale Invariant Feature Transform
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
PIE: A Large-scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction
Piecewise Approximation of Contours Through scale-Space Selection of Dominant Points
Pipal: A Large-scale Image Quality Assessment Dataset for Perceptual Image Restoration
Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images
Pixel-level singular point detection from multi-scale Gaussian filtered orientation field
PixStabNet: Fast Multi-scale Deep Online Video Stabilization with Pixel-Based Warping
PKCS: A Polynomial Kernel Family With Compact Support for scale- Space Image Processing
Planar Affine Rectification from Change of scale
Planar Shape Detection at Structural scales
PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
Plankton Analysis, Extraction, Features, Small scale and Large Scale
Plankton Analysis, Extraction, Features, Small scale and Large Scale
Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning
Plant Disease Recognition: A Large-scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach
Plant Leaf Identification Using Color and Multi-scale Fractal Dimension
Plant Leaf Identification Using Multi-scale Fractal Dimension
Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
Plot-scale Irrigation Dates and Amount Detection Using Surface Soil Moisture Derived from Sentinel-1 SAR Data in the Optirrig Crop Model
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
PMSNet: Parallel Multi-scale Network for Accurate Low-Light Light-Field Image Enhancement
POD: Practical Object Detection With scale-Sensitive Network
Point Cloud Classification by Fusing Supervoxel Segmentation with Multi-scale Features
Point Cloud Geometry Prediction Across Spatial scale using Deep Learning
Point cloud registration and virtual realization of large scale and more complex historical structures
Point Cloud Registration Based on One-Point RANSAC and scale-Annealing Biweight Estimation
Point Set Multi-Level Aggregation Feature Extraction Based on Multi-scale Max Pooling and LDA for Point Cloud Classification
PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration
PointMotionNet: Point-Wise Motion Learning for Large-scale LiDAR Point Clouds Sequences
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-scale Place Recognition
PointOdyssey: A Large-scale Synthetic Dataset for Long-Term Point Tracking
Polarimetric Two-scale Two-Component Model for the Retrieval of Soil Moisture Under Moderate Vegetation via L-Band SAR Data
POLLEN13K: A Large scale Microscope Pollen Grain Image Dataset
Polygon-shape-based scale and Rotation Invariant Features for camera-based document image retrieval
Polynomial-Time Carsharing Optimization: Linear Formulation and Large-scale Simulations
Population Spatialization Model at the Building scale Using Random Forest, A
Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces
Pose Measurement at Small scale by Spectral Analysis of Periodic Patterns
Position Interpolation Using Feature Point scale for Decimeter Visual Localization
Position, Rotation and scale Invarient Optical Correlation
Position-, Rotation-, and scale-Invariant Pattern Recognition Using Parallel Distributed Processing
Position-Invariant, Rotation-Invariant, and scale-Invariant Process for Binary Image Recognition
Positional, Rotational and scale Invariant Optical Correlation Method and Apparatus
Potential and Limitations of Grasslands alpha-Diversity Prediction Using Fine-scale Hyperspectral Imagery
Potential of High-resolution Indian Remote Sensing Satellite Imagery for Large scale Mapping
Potential of Open Geodata for Automated Large-scale Land Use and Land Cover Classification, The
Potential of Ultra-High-Resolution UAV Images with Centimeter GNSS Positioning for Plant scale Crop Monitoring
Power Bundle Adjustment for Large-scale 3D Reconstruction
Power mean SVM for large scale visual classification
Power shrinkage-curvelet domain image denoising using a new scale-dependent shrinkage function
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-scale Teleconferencing Video Dataset
PPA-Net: Pyramid Pooling Attention Network for Multi-scale Ship Detection in SAR Images
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-scale Conditional GANs Compression
PPR-net: Patch-based Multi-scale Pyramid Registration Network for Defect Detection of Printed Label
PPR10K: A Large-scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
Practical Evaluation of Video Codecs for Large-scale HTTP Adaptive Streaming Services, A
Practical Membership Inference Attacks Against Large-scale Multi-Modal Models: A Pilot Study
Practical modeling technique for large-scale 3D building models from ground images
Practical Pattern Recognition System for Translation, scale and Rotation Invariance, A
Precise Measurement of Cargo Boxes for Gantry Robot Palletization in Large scale Workspaces Using Low-Cost RGB-D Sensors
Precision Analysis of Point-and-scale Photogrammetric Measurements for Corridor Mapping: Preliminary Results
Precisions Measurement for the Grasp of Welding Deformation Amount of Time Series for Large-scale Industrial Products
PreDet: Large-scale weakly supervised pre-training for detection
Predicting Ad Liking and Purchase Intent: Large-scale Analysis of Facial Responses to Ads
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
Predicting Fall Probability Based on a Validated Balance scale
Predicting Geo-informative Attributes in Large-scale Image Collections Using Convolutional Neural Networks
Predicting Maize Yield at the Plot scale of Different Fertilizer Systems by Multi-Source Data and Machine Learning Methods
Predicting soil organic carbon in cultivated land across geographical and spatial scales: Integrating Sentinel-2A and laboratory Vis-NIR spectra
Predicting Soybean Yield at the Regional scale Using Remote Sensing and Climatic Data
Predicting Wheat Yield at the Field scale by Combining High-Resolution Sentinel-2 Satellite Imagery and Crop Modelling
Prediction of Drought on Pentad scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia
Prediction of Field-scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data
Prediction of Large-scale Regional Evapotranspiration Based on Multi-Scale Feature Extraction and Multi-Headed Self-Attention
Prediction of Large-scale Regional Evapotranspiration Based on Multi-Scale Feature Extraction and Multi-Headed Self-Attention
Prediction of Water Temperature Based on Graph Neural Network in a Small-scale Observation via Coastal Acoustic Tomography
Prediction-Based scale Adaptive Correlation Filter Tracker
Predictions of Tropical Forest Biomass and Biomass Growth Based on Stand Height or Canopy Area Are Improved by Landsat-scale Phenology across Puerto Rico and the U.S. Virgin Islands
Predictive Mapping of Mediterranean Seagrasses-Exploring the Influence of Seafloor Light and Wave Energy on Their Fine-scale Spatial Variability
preliminary method for the evaluation of the landslides volume at a regional scale, A
Preliminary Utility of the Retrospective IMERG Precipitation Product for Large-scale Drought Monitoring over Mainland China
Preprocessing of Gray-scale Pictures
Preselection of support vector candidates by relative neighborhood graph for large-scale character recognition
PRF-Ped: Multi-scale Pedestrian Detector with Prior-based Receptive Field
Primitive Features by Steering, Quadrature, and scale
Principles for automatic scale selection
Prior-Constrained scale-Space Mean Shift
PrISM at Operational scale: Monitoring Irrigation District Water Use during Droughts
PRNU registration under scale and rotation transform based on convolutional neural networks
Probabilistic classifiers with a generalized Gaussian scale mixture prior
Probabilistic Estimation of Local scale
Probabilistic Framework for Edge Detection and scale Selection, A
Probabilistic Global scale Estimation for MonoSLAM Based on Generic Object Detection
Probabilistic Label Trees for Efficient Large scale Image Classification
Probabilistic modelling of printed dots at the microscopic scale
Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics, A
probabilistic representation for efficient large scale visual recognition tasks, A
Probabilistic Reverse Annotation for Large scale Image Retrieval
Probabilistic tracking with optimal scale and orientation selection
Probabilistic, Multi-scale Fractional Tonal Correction Bilateral Filter-Based Hazy Image Enhancement
Problems in Distortion Corrected Texture Classification and the Impact of scale and Interpolation
Procedural Generation of Large-scale Forests Using a Graph-Based Neutral Landscape Model
Proceduralization of Buildings at City scale
Procedure to Map Subsidence at the Regional scale Using the Persistent Scatterer Interferometry (PSI) Technique, A
Processing of Eye/Head-Tracking Data in Large-scale Naturalistic Driving Data Sets
Processing of Noisy and Small Detailed Gray scale Images Using Cellular Neural Networks
Product Image Representation Learning on Large scale Noisy Datasets
Progressface: scale-aware Progressive Learning for Face Detection
Progressive Context-Aware Aggregation Network Combining Multi-scale and Multi-Level Dense Reconstruction for Building Change Detection
Progressive Large scale-Invariant Image Matching in Scale Space
Progressive Large scale-Invariant Image Matching in Scale Space
Progressive Large-scale Structure-from-Motion with Orthogonal MSTs
Progressive multi-scale fusion network for RGB-D salient object detection
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children
Progressive Transmission of Grey scale and B/W Images by Simple, Efficient and Lossless Encoding Schemes
Progressively-Trained scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions, A
Promoting Monocular Depth Estimation by Multi-scale Residual Laplacian Pyramid Fusion
Proper scale for Modeling Visual Data
Proper scales of shapes - A curved scale space
Proper scales of shapes - A curved scale space
Properties of Brownian Image Models in scale-Space
proposal on local and adaptive determination of filter scale for edge detection, A
proposedmulti-scale approach with automatic scale selection for image change detection, A
proposedmulti-scale approach with automatic scale selection for image change detection, A
Prospective Upon Multi-source Urban scale Data for 3d Documentation And Monitoring of Urban Legacies
Prostate Segmentation Based on Variant scale Patch and Local Independent Projection
Prototype-based class-specific nonlinear subspace learning for large-scale face verification
Provably scale-Covariant Continuous Hierarchical Networks Based on Scale-Normalized Differential Expressions Coupled in Cascade
Provably scale-Covariant Continuous Hierarchical Networks Based on Scale-Normalized Differential Expressions Coupled in Cascade
Provably scale-Covariant Networks from Oriented Quasi Quadrature Measures in Cascade
PROVID: Progressive and Multimodal Vehicle Reidentification for Large-scale Urban Surveillance
Proximal Riemannian Pursuit for Large-scale Trace-Norm Minimization
Proximity Graphs Based Multi-scale Image Segmentation
Pruning for image segmentation: Improving computational efficiency for large-scale remote sensing applications
PSConv: Squeezing Feature Pyramid into One Compact Poly-scale Convolutional Layer
Pseudo-Distance Map for the Segmentation-Free Skeletonization of Gray-scale Images, A
Pseudo-Linear scale-Space Theory
PSO-Based Sparse Source Location in Large-scale Environments With a UAV Swarm
PSSNet: Planarity-sensible Semantic Segmentation of large-scale urban meshes
psychovisual image Quality Metric based on multi-scale Structure Similarity, A
PU-EVA: An Edge-Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling
Public Transit Route Mapping for Large-scale Multimodal Networks
Pulmonary nodule risk classification in adenocarcinoma from CT images using deep CNN with scale transfer module
Pyramid Architecture for Multi-scale Processing in Point Cloud Segmentation
pyramid input augmented multi-scale CNN for GGO detection in 3D lung CT images, A
Pyramid Point Cloud Transformer for Large-scale Place Recognition
Pyramid scene parsing network in 3D: Improving semantic segmentation of point clouds with multi-scale contextual information
Pyramid Transform and scale-Space Analysis in Image Analysis
Pyrboxes: An efficient multi-scale scene text detector with feature pyramids
QP_TR Trust Region Blob Tracking Through scale-Space
QP_TR Trust Region Blob Tracking Through scale-Space with Automatic Selection of Features
Quad-Polarimetric Multi-scale Analysis of Icebergs in ALOS-2 SAR Data: A Comparison between Icebergs in West and East Greenland
Qualitative, Multi-scale Grammar For Image Description and Analysis, A
Quality Assessment Method for Linear Feature Simplification Based on Multi-scale Spatial Uncertainty
Quality Assessment of Free-Viewpoint Videos by Quantifying the Elastic Changes of Multi-scale Motion Trajectories
Quality Control for Crowdsourcing Large scale Topographic Maps
Quality Measurement of Images on Mobile Streaming Interfaces Deployed at scale
Quantification of Erosion and Uplift in a Rising Orogen: A Large-scale Perspective (Late Tortonian to Present): The Case of the Gibraltar Arc, Betic Cordillera, Southern Spain
Quantification of nano-scale carbon structure by HRTEM and lattice fringe analysis
Quantification of the scale Effect in Downscaling Remotely Sensed Land Surface Temperature
Quantifying Chlorophyll Fluorescence Parameters from Hyperspectral Reflectance at the Leaf scale under Various Nitrogen Treatment Regimes in Winter Wheat
Quantifying Coral Reef Composition of Recreational Diving Sites: A Structure from Motion Approach at Seascape scale
Quantifying Forest Spatial Pattern Trends at Multiple Extents: An Approach to Detect Significant Changes at Different scales
Quantifying Landscape-scale Patterns of Temperate Forests over Time by Means of Neutral Simulation Models
Quantifying Multi-scale Performance of Geometric Features for Efficient Extraction of Insulators from Point Clouds
Quantifying the Cooling Effect and scale of Large Inner-City Lakes Based on Landscape Patterns: A Case Study of Hangzhou and Nanjing
Quantifying the scale Effect of the Relationship between Land Surface Temperature and Landscape Pattern
Quantifying the Spatio-Temporal Process of Township Urbanization: A Large-scale Data-Driven Approach
Quantisation scale-spaces
Quantitative Assessment of the Spatial scale Effects of the Vegetation Phenology in the Qinling Mountains
Quantitative Relations between Morphostructural Similarity Degree and Map scale Change in Contour Clusters in Multi-Scale Map Space
Quantitative Relations between Morphostructural Similarity Degree and Map scale Change in Contour Clusters in Multi-Scale Map Space
Quantitative Relations between Topological Similarity Degree and Map scale Change of Contour Clusters in Multi-Scale Map Spaces
Quantitative Relations between Topological Similarity Degree and Map scale Change of Contour Clusters in Multi-Scale Map Spaces
Quasi-Block-Cholesky Factorization With Dynamic Matrix Compression for Fast Integral-Equation Simulations of Large-scale Human Body Models
Quasi-random nonlinear scale space
Quasi-Random scale Space Approach to Robust Keypoint Extraction in High-Noise Environments
Query Adaptive Similarity for Large scale Object Retrieval
Query-Adaptive Hash Code Ranking for Large-scale Multi-View Visual Search
Quick Detection of Field-scale Soil Comprehensive Attributes via the Integration of UAV and Sentinel-2B Remote Sensing Data
quick scale-invariant interest point detecting approach, A
R-MSFM: Recurrent Multi-scale Feature Modulation for Monocular Depth Estimating
Radar Maneuvering Target Detection Based on Product scale Zoom Discrete Chirp Fourier Transform
Radar Signal Classification with Multi-Frequency Multi-scale Deformable Convolutional Networks and Attention Mechanisms
Raft cultivation area extraction from high resolution remote sensing imagery by fusing multi-scale region-line primitive association features
Rain Microstructure Parameters Vary with Large-scale Weather Conditions in Lausanne, Switzerland
Rain Removal From Light Field Images With 4D Convolution and Multi-scale Gaussian Process
RandLA-Net: Efficient Semantic Segmentation of Large-scale Point Clouds
Random Algorithm for Low-Rank Decomposition of Large-scale Matrices With Missing Entries, A
Random Cascades of Gaussian scale Mixtures and Their Use in Modeling Natural Images with Application to Denoising
Random cross-observation intensity consistency method for large-scale SAR images mosaics: An example of Gaofen-3 SAR images covering China
Random Features for Large-scale Kernel Machines
Randomised visual secret sharing scheme for grey-scale and colour images
RANSAC-SVM for large-scale datasets
Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning
Rapid Creation of Large-scale Photorealistic Virtual Environments
Rapid Large-scale Wetland Inventory Update Using Multi-Source Remote Sensing
Rapid Mapping of Large-scale Greenhouse Based on Integrated Learning Algorithm and Google Earth Engine
Rapid Mapping of Small-scale River-Floodplain Environments Using UAV SfM Supports Classical Theory
Rapid survey method for large-scale outdoor surveillance cameras using binary space partitioning
RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis
RASIM: A Novel Rotation and scale Invariant Matching of Local Image Interest Points
RASNet: Renal automatic segmentation using an improved U-Net with multi-scale perception and attention unit
Raster scale Farmland Productivity Assessment with Multi-Source Data Fusion: A Case of Typical Black Soil Region in Northeast China
Rate Distortion Optimization Over Large scale Video Corpus With Machine Learning
Ratio-and-scale-Aware YOLO for Pedestrian Detection
Rayleigh-Ritz style method for large-scale discriminant analysis, A
Re-Arranging Space, Time and scales in GIS: Alternative Models for Multi-Scale Spatio-Temporal Modeling and Analyses
Re-Arranging Space, Time and scales in GIS: Alternative Models for Multi-Scale Spatio-Temporal Modeling and Analyses
Re-Discovering Ancient Landscapes: Archaeological Survey of Mound Features from Historical Maps in Northwest India and Implications for Investigating the Large-scale Distribution of Cultural Heritage Sites in South Asia
Re-identification of pedestrians with variable occlusion and scale
Real Image Denoising Based on Multi-scale Residual Dense Block and Cascaded U-Net with Block-Connection
Real-Time Detecting Method for Continuous Urban Flood Scenarios Based on Computer Vision on Block scale, A
Real-Time Detection of Full-scale Forest Fire Smoke Based on Deep Convolution Neural Network
Real-time face location on gray-scale static images
Real-time face recognition based on pre-identification and multi-scale classification
Real-Time Framework for Video Time and Pitch scale Modification, A
Real-Time Freeway Network Traffic Surveillance: Large-scale Field-Testing Results in Southern Italy
Real-time image-based 6-DOF localization in large-scale environments
Real-Time Incremental and Geo-Referenced Mosaicking by Small-scale UAVs
Real-Time Large-scale Dense 3D Reconstruction with Loop Closure
Real-Time Large-scale Fusion of High Resolution 3D Scans with Details Preservation
Real-time large-scale visual concept detection with linear classifiers
Real-Time Multi-Material Reflectance Reconstruction for Large-scale Scenes Under Uncontrolled Illumination from RGB-D Image Sequences
Real-Time Multi-scale Action Detection from 3D Skeleton Data
Real-time multi-scale parallel compressive tracking
Real-time multi-scale Retinex to enhance night scene of vehicular camera
Real-time multi-scale tracking based on compressive sensing
Real-Time Nonlinear Complementary Filter on SO(3) for Attitude Estimation of Small-scale Aerial Robot
Real-Time Object Recognition Based on Cortical Multi-scale Keypoints
Real-time rendering of refracting transmissive objects with multi-scale rough surfaces
Real-Time scale Invariant 3D Range Point Cloud Registration
Real-Time scale Selection in Hybrid Multi-scale Representations
Real-Time scale Selection in Hybrid Multi-scale Representations
Real-Time Scene Text Detection With Differentiable Binarization and Adaptive scale Fusion
Real-Time Tree Crown Detection Approach for Large-scale Remote Sensing Images on FPGAs, A
Real-Time Variational Range Image Fusion and Visualization for Large-scale Scenes Using GPU Hash Tables
Real-time vehicle queue estimation of large-scale traffic scene
Real-Time Video Copy-Location Detection in Large-scale Repositories
Real-Time Video Deraining via Global Motion Compensation and Hybrid Multi-scale Temporal Correlations
Real-Time Vision System for Traffic Signs Recognition Invariant to Translation, Rotation and scale, A
Real-Time, Embedded Scene Invariant Crowd Counting Using scale-Normalized Histogram of Moving Gradients (HoMG)
Real-time, large-scale duplicate image detection method based on multi-feature fusion
Realtime multi-scale scene text detection with scale-based region proposal network
Realtime multi-scale scene text detection with scale-based region proposal network
REAP: A Large-scale Realistic Adversarial Patch Benchmark
Reasoning about Edges in scale Space
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-scale Object Detection
Recent Advances in Large scale Image Search
Recent Advances of Large-scale Linear Classification
Recent developments in large-scale tie-point matching
Recent Large scale Environmental Changes in the Mediterranean Sea and Their Potential Impacts on Posidonia Oceanica
Recognition and 6D Pose Estimation of Large-scale Objects using 3D Semi-Global Descriptors
Recognition from Appearance Subspaces Across Image Sets of Variable scale
Recognition of Facial Expressions by Cortical Multi-scale Line and Edge Coding
Recognizing Objects Using scale Space Local Invariants
RECON: scale-adaptive robust estimation via Residual Consensus
Reconstruction of Binary and Gray-scale Images from Mid-Crack Code Descriptions
Reconstruction of Fine-scale Auroral Dynamics
Reconstruction of Self-Similar Functions from scale-Space
Reconstructions from Zero-Crossings in scale-Space
Reconstructions of Noisy Digital Contours with Maximal Primitives Based on Multi-scale/Irregular Geometric Representation and Generalized Linear Programming
Recovering Affine Features from Orientation- and scale-Invariant Ones
Recovery of Distorted Shapes Obtained from the Flying Laser Range Sensor for Large-scale Cultural Heritages
Rectification from Radially-Distorted scales
Recurrent scale Approximation for Object Detection in CNN
Recursive Multi-scale Channel-Spatial Attention for Fine-Grained Image Classification
Recursive reduction net for large-scale high-dimensional data
Recursive sub-image histogram equalization applied to gray scale images
Redesigning Multi-scale Neural Network for Crowd Counting
Reduced resolution and scale space for dominant feature detection in contours
Reduced-reference synthesized-texture quality assessment based on multi-scale spatial and statistical texture attributes
Redundant image representation via multi-scale digital Radon projections
Reef-scale Thermal Stress Monitoring of Coral Ecosystems: New 5-km Global Products from NOAA Coral Reef Watch
Reference-Based Video Colorization With Multi-scale Semantic Fusion and Temporal Augmentation
Reference-Guided Large-scale Face Inpainting With Identity and Texture Control
Refined translation and scale Legendre moment invariants
Reflectance Transformation Imaging Method for Large-scale Objects
Reflection and Transparency Model of Rose Petals for Computer Graphics based on the Micro-Scopic scale Structures
Reflection Removal for Large-scale 3D Point Clouds
Reflective Noise Filtering of Large-scale Point Cloud Using Multi-Position LiDAR Sensing Data
Reflective Noise Filtering of Large-scale Point Cloud Using Transformer
RegFormer: An Efficient Projection-Aware Transformer Network for Large-scale Point Cloud Registration
RegGeoNet: Learning Regular Representations for Large-scale 3D Point Clouds
Region extraction in large-scale urban LIDAR data
Region Merging Segmentation with Local scale Parameters: Applications to Spectral and Elevation Data, A
Region-based Multi-scale Approach For Object-based Image Analysis, A
Region-based shape descriptor invariant to rotation, scale and translation
Regional and Local scale Evolution of the Spatial Structure of High-Speed Railway Networks: A Case Study Focused on Beijing-Tianjin-Hebei Urban Agglomeration, The
Regional Assessment of Aspen Change and Spatial Variability on Decadal Time scales
Regional scale Dryland Vegetation Classification with an Integrated Lidar-Hyperspectral Approach
Regional scale Mapping of Grassland Mowing Frequency with Sentinel-2 Time Series
Regional scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana
Regional-scale Forest Mapping over Fragmented Landscapes Using Global Forest Products and Landsat Time Series Classification
Regional-scale High Spatial Resolution Mapping of Aboveground Net Primary Productivity (ANPP) from Field Survey and Landsat Data: A Case Study for the Country of Wales
Regional-scale Monitoring of Wheat Stripe Rust Using Remote Sensing and Geographical Detectors
Regional-scale Systematic Mapping of Archaeological Mounds and Detection of Looting Using COSMO-SkyMed High Resolution DEM and Satellite Imagery
Regionalization of Coarse scale Soil Moisture Products Using Fine-Scale Vegetation Indices: Prospects and Case Study
Regionalization of Coarse scale Soil Moisture Products Using Fine-Scale Vegetation Indices: Prospects and Case Study
Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
Regularity and scale-Space Properties of Fractional High Order Linear Filtering
Regularization, scale-Space, and Edge-Detection Filters
Regularized Volumetric Fusion Framework for Large-scale 3D Reconstruction, A
Reinforcing Pedestrian Parsing on Small scale Dataset
Relationships between Land Surface Temperatures and Neighboring Environment in Highly Urbanized Areas: Seasonal and scale Effects Analyses of Beijing, China
Relative Attributes for Large-scale Abandoned Object Detection
Relative orientation and scale for improved feature matching
Relative scale estimation between two camera motions
Relative scale method to locate an object in cluttered environment
Relative Strengths Recognition of Nine Mainstream Satellite-Based Soil Moisture Products at the Global scale
Relativistic scale-Spaces
Relevance of Non-Generic Events in scale Space Models, The
Reliable and Practical City Map generation at 1:1000 or 1:500 scale based on five control points recification of digitized images
Reliable Classification of Chrysanthemum Leaves Through Curvature scale Space
Reliable Tracking of Large scale Dense Antiparallel Particle Motion for Fluorescence Live Cell Imaging
Relief Dependent Evaluation of Digital Elevation Models on Different scales for Northern Chile, A
Remote Crop Mapping at scale: Using Satellite Imagery and UAV-Acquired Data as Ground Truth
Remote Estimation of Heart Rate Based on Multi-scale Facial ROIs
Remote Sensing Analysis for Vegetation Assessment of a Large-scale Constructed Wetland Treating Produced Water Polluted with Oil Hydrocarbons
Remote Sensing and Social Sensing Data Reveal scale-Dependent and System-Specific Strengths of Urban Heat Island Determinants
Remote Sensing Approach for Regional-scale Mapping of Agricultural Land-Use Systems Based on NDVI Time Series, A
Remote Sensing Contributions to Prediction and Risk Assessment of Natural Disasters Caused by Large-scale Rift Valley Fever Outbreaks
Remote Sensing Image Change Detection Based on Deep Multi-scale Multi-Attention Siamese Transformer Network
Remote Sensing Image Classification With Large-scale Gaussian Processes
Remote Sensing Image Scene Classification Using Multi-scale Completed Local Binary Patterns and Fisher Vectors
Remote Sensing Image Super-Resolution Using Second-Order Multi-scale Networks
Remote Sensing Image Super-Resolution via Multi-scale Texture Transfer Network
Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional scale, A
Remote Sensing of Local Warming Trend in Alberta, Canada during 2001-2020, and Its Relationship with Large-scale Atmospheric Circulations
Remote Sensing of Pasture Degradation in the Highlands of the Kyrgyz Republic: Finer-scale Analysis Reveals Complicating Factors
Remote Sensing of Pigment Content at a Leaf scale: Comparison among Some Specular Removal and Specular Resistance Methods
Remote Sensing of Soil Organic Carbon at Regional scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China
Remote Sensing of Wetland Flooding at a Sub-Pixel scale Based on Random Forests and Spatial Attraction Models
Remote Sensing Small Object Detection Network Based on Attention Mechanism and Multi-scale Feature Fusion
Remote Sensing Techniques To Assess Post-fire Effects at the Hillslope and Sub-Basin scales Via Multi-scale Model
Remote Sensing Techniques To Assess Post-fire Effects at the Hillslope and Sub-Basin scales Via Multi-scale Model
Remote Sensing Texture Analysis Using Multi-Parameter and Multi-scale Features
Remote Sensing-Based Estimates of Changes in Stored Groundwater at Local scales: Case Study for Two Groundwater Subbasins in California's Central Valley
Remote Sensing-Based Fractal Analysis and scale Dependence Associated with Forest Fragmentation in an Amazon Tri-National Frontier
Remotely Sensed Winter Habitat Indices Improve the Explanation of Broad-scale Patterns of Mammal and Bird Species Richness in China
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos
Removal of Large-scale Stripes Via Unidirectional Multiscale Decomposition
Removing Arbitrary-scale Rain Streaks via Fractal Band Learning With Self-Supervision
RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
Renormalized Curvature scale Space and the Evolution Properties of Planar Curves, The
Repeat Oblique Photography Shows Terrain and Fire-Exposure Controls on Century-scale Canopy Cover Change in the Alpine Treeline Ecotone
Repeatedly Smoothing, Discrete scale-Space Evolution and Dominant Point Detection
RepQ-ViT: scale Reparameterization for Post-Training Quantization of Vision Transformers
Representation of Block-Based Image Features in a Multi-scale Framework for Built-Up Area Detection
Representations Based on Zero-Crossings in scale-Space
Representing Boundary-Ambiguous Scene Online With scale-Encoded Cascaded Grids and Radiance Field Deblurring
Representing Curves at Their Natural scales
Representing Planar Curves by Using a scale Vector
Res2-Unet+, a Practical Oil Tank Detection Network for Large-scale High Spatial Resolution Images
Res2Net: A New Multi-scale Backbone Architecture
ResDLPS-Net: Joint residual-dense optimization for large-scale point cloud semantic segmentation
Research on Large-scale Urban Shrinkage and Expansion in the Yellow River Affected Area Using Night Light Data
Research on scale Improvement of Geochemical Exploration Based on Remote Sensing Image Fusion
Research on scale Selection in Image Edge Detection Methods Based on Wavelet Transform
Research On The Key Technology Of Large scale Mapping From Low Altitude Photogrammetry
Residual Dual scale Scene Text Spotting by Fusing Bottom-Up and Top-Down Processing
Residues Cluster-Based Segmentation and Outlier-Detection Method for Large-scale Phase Unwrapping
RESKM: A General Framework to Accelerate Large-scale Spectral Clustering
Resolution enhancement of imaging small-scale portions in a compactly supported function
Resolution enhancement system for combined binary and gray scale halftone images
Resolution Learning in Deep Convolutional Networks Using scale-Space Theory
Resolution-Independent Characteristic scale Dedicated to Satellite Images
Resolving Fine-scale Surface Features on Polar Sea Ice: A First Assessment of UAS Photogrammetry Without Ground Control
Resolving scale Ambiguity via XSlit Aspect Ratio Analysis
Resource aware and incremental mosaics of wide areas from small-scale UAVs
Responding to Large-scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS
Response of Grassland Degradation to Drought at Different Time-scales in Qinghai Province: Spatio-Temporal Characteristics, Correlation, and Implications
Response of Vegetation to Different Climate Extremes on a Monthly scale in Guangdong, China
Restoration of binary and gray-scale images using the contour mid-crack codes description
Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-scale Upsampling
Rethinking Visual Geo-localization for Large-scale Applications
Retinal vessel extraction using dynamic multi-scale matched filtering and dynamic threshold processing based on histogram fitting
Retraction notice to Use of LiDAR for calculating solar irradiance on roofs and facades of buildings at city scale: Methodology, validation, and analysis
Retrieval and Multi-scale Validation of Soil Moisture from Multi-temporal SAR Data in a Semi-Arid Tropical Region
Retrieval and Validation of Water Turbidity at Metre-scale Using Pleiades Satellite Data: A Case Study in the Gironde Estuary
Retrieval From and Understanding of Large-scale Multi-modal Medical Datasets: A Review
Retrieval of Marine Surface Slick Dielectric Properties From Radarsat-2 Data via a Polarimetric Two-scale Model
Retrieving scale from quasi-stationary images
Retrieving Soil Moisture at the Field scale from Sentinel-1 Data over a Semi-Arid Mediterranean Agricultural Area
Retrospective Analysis of National-scale Agricultural Development in Saudi Arabia from 1990 to 2021, A
Revealing Spatial-Temporal Characteristics and Patterns of Urban Travel: A Large-scale Analysis and Visualization Study with Taxi GPS Data
Revealing the Influence of the Fine-scale Built Environment on Urban Rail Ridership with a Semiparametric GWPR Model
Review of Fine-scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques, A
Review of Gray-scale Image Recoloring Methods With Neural Network Based Model, A
review of regional and Global scale Land Use/Land Cover (LULC) mapping products generated from satellite remote sensing, A
Revised Temporal Scaling Method to Yield Better ET Estimates at a Regional scale, A
Revisiting Convolutional Sparse Coding for Image Denoising: From a Multi-scale Perspective
Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval
Revisiting Oxford and Paris: Large-scale Image Retrieval Benchmarking
Revisiting Pseudo Invariant Calibration Sites (PICS) Over Sand Deserts for Vicarious Calibration of Optical Imagers at 20 km and 100 km scales
Revisiting the Inverted Indices for Billion-scale Approximate Nearest Neighbors
Revisiting Video Saliency: A Large-scale Benchmark and a New Model
RFM Pattern Recognition System Invariant to Rotation, scale and Translation, A
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
Rice Yield Simulation and Planting Suitability Environment Pattern Recognition at a Fine scale
Rich-scale feature fusion network for salient object detection
Ridge Regression based classifiers for large scale class imbalanced datasets
River Morphology Monitoring of A Small-scale Alpine Riverbed Using Drone Photogrammetry and Lidar
Road Signs Recognition by the scale-Space Template Matching in the Log-Polar Domain
RoadSaW: A Large-scale Dataset for Camera-Based Road Surface and Wetness Estimation
Robot Motion Learning Method Using Broad Learning System Verified by Small-scale Fish-Like Robot, A
Robust Adaptive-scale Parametric Model Estimation for Computer Vision
Robust and Accurate Image Segmentation Using Deformable Templates in scale Space
Robust and Efficient Shape Indexing through Curvature scale Space
Robust and Real-Time Object Tracking Using scale-Adaptive Correlation Filters
Robust and scalable aggregation of local features for ultra large-scale retrieval
robust approach for large-scale cropping intensity mapping in smallholder farms from vegetation, brownness indices and SAR time series, A
Robust binarization of degraded documents using adaptive-cum-interpolative thresholding in a multi-scale framework
Robust blurred face recognition using sample-wise kernel estimation and random compressed multi-scale local binary pattern histograms
Robust Cloth Warping via Multi-scale Patch Adversarial Loss for Virtual Try-On Framework
Robust control point detection for aerial synthetic aperture radar via a logarithmic quasi-random scale space framework
robust corner detector based on curvature scale space and harris, A
Robust Criteria for Automatic Multi-scale Curve Segmentation
Robust FFT-Based scale-Invariant Image Registration with Image Gradients
Robust Fitting by Adaptive-scale Residual Consensus
Robust Foreground and Abandonment Analysis for Large-scale Abandoned Object Detection in Complex Surveillance Videos
Robust Foreground Estimation via Structured Gaussian scale Mixture Modeling
Robust Harris-Laplace Detector by scale Multiplication
Robust hierarchical structure from motion for large-scale unstructured image sets
Robust human gesture recognition by leveraging multi-scale feature fusion
Robust image corner detection based on scale evolution difference of planar curves
Robust Image Corner Detection Through Curvature scale Space
Robust image-based crack detection in concrete structure using multi-scale enhancement and visual features
Robust Inter-scale Non-Blind Image Motion Deblurring
Robust Kalman Filters Based on Gaussian scale Mixture Distributions With Application to Target Tracking
Robust kernelized correlation filter with scale adaption for real-time single object tracking
Robust Keypoint Detection Using Higher-Order scale Space Derivatives: Application to Image Retrieval
Robust large scale monocular visual SLAM
robust method for measuring trabecular bone orientation anisotropy at in vivo resolution using tensor scale, A
robust method for scale independent detection of curvature-based criticalities and intersections in line drawings, A
Robust motion estimation and structure recovery from endoscopic image sequences with an Adaptive scale Kernel Consensus estimator
Robust Multi-scale Extraction of Blob Features
robust multi-scale integration method to obtain the depth from gradient maps, A
Robust multi-scale non-rigid registration of 3D ultrasound images
Robust multi-scale ship tracking via multiple compressed features fusion
Robust multi-scale weighting-based edge-smoothing filter for single image dehazing
Robust nose tip detection for face range images based on local features in scale-space
Robust occlusion-aware part-based visual tracking with object scale adaptation
Robust Open-Set Face Recognition for Small-scale Convenience Applications
Robust Optimization as Data Augmentation for Large-scale Graphs
Robust piecewise-planar 3D reconstruction and completion from large-scale unstructured point data
Robust Point Cloud Based Reconstruction of Large-scale Outdoor Scenes
Robust point clouds registration with point-to-point lp distance constraints in large-scale metrology
Robust Position, scale, and Rotation Invariant Object Recognition Using Higher-Order Neural Networks
Robust real-time multi-user pupil detection and tracking under various illumination and large-scale head motion
Robust Real-Time Visual Object Tracking via Multi-scale Fully Convolutional Siamese Networks
Robust Real-Time Visual SLAM Using scale Prediction and Exemplar Based Feature Description
Robust registration of aerial and close-range photogrammetric point clouds using visual context features and scale consistency
Robust scale Adaptive and Real-Time Visual Tracking with Correlation Filters
Robust scale Adaptive Kernel Correlation Filter Tracker With Hierarchical Convolutional Features
Robust scale Estimation from Ensemble Inlier Sets for Random Sample Consensus Methods
Robust scale Estimation in Real-Time Monocular SFM for Autonomous Driving
Robust scale-Adaptive Mean-Shift for Tracking
Robust scale-Space Filter Using Second-Order Partial Differential Equations
Robust Scene Categorization via scale-Rotation Invariant Generative Model and Kernel Sparse Representation Classification
Robust single-image super-resolution using cross-scale self-similarity
Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning
Robust Texture Analysis Using Multi-Resolution Gray-scale Invariant Features for Breast Sonographic Tumor Diagnosis
Robust Texture Image Representation by scale Selective Local Binary Patterns
Robust Traffic-Aware City-scale Multi-Camera Vehicle Tracking Of Vehicles, A
Robust Two-View External Calibration by Combining Lines and scale Invariant Point Features
Robust visual odometry estimation of road vehicle from dominant surfaces for large-scale mapping
Robust visual tracking using joint scale-spatial correlation filters
Robust Visual Tracking via Multi-scale Spatio-Temporal Context Learning
robustness of some scale-spaces, The
Rockfall Hazard Assessment in the Taihang Grand Canyon Scenic Area Integrating Regional-scale Identification of Potential Rockfall Sources
role of local scale and orientation in feature location using neural nets, The
Role of Methodology and Spatiotemporal scale in Understanding Environmental Change in Peri-Urban Ouagadougou, Burkina Faso, The
Role of Micro Breaking of Small-scale Wind Waves in Radar Backscattering from Sea Surface, The
Role of scale in partitioning shape
Role of Subjective Perceptions and Objective Measurements of the Urban Environment in Explaining House Prices in Greater London: A Multi-scale Urban Morphology Analysis, The
Rolling Guidance Based scale-Aware Spatial Sparse Unmixing for Hyperspectral Remote Sensing Imagery
Rotation and gray scale transform invariant texture identification using wavelet decomposition and hidden Markov model
Rotation and Gray-scale Transform-Invariant Texture Classification Using Spiral Resampling, Subband Decomposition, and Hidden Markov Model
Rotation and gray-scale-invariant texture analysis using radon and differential radon transforms based hidden Markov models
Rotation and scale Change Invariant Point Pattern Relaxation Matching by the Hopfield Neural Network
Rotation and scale insensitive image watermarking
rotation and scale invariance face Recognition Method Based on Complex Network and Image Contour, A
rotation and scale invariant approach for multi-oriented floor plan image retrieval, A
Rotation and scale Invariant Bispectral Feature based Recognition of Contactless Palmprints
rotation and scale invariant descriptor for shape recognition, A
Rotation and scale invariant shape representation and recognition using matching pursuit
rotation and scale invariant technique for ear detection in 3D, A
Rotation and scale Invariant Texture Analysis with Tunable Gabor Filter Banks
Rotation and scale Invariant Texture Classification using Gabor Wavelets
Rotation and scale invariant texture features using discrete wavelet packet transform
Rotation Invariant Texture Retrieval Considering the scale Dependence of Gabor Wavelet
Rotation, scale and translation invariant digital image watermarking
Rotation, scale and translation invariant handwritten Devanagari numeral character recognition using general fuzzy neural network
Rotation, scale and Translation Invariant Spread Spectrum Digital Image Watermarking
Rotation, scale, and translation resilient watermarking for images
Rotation, Translation, and scale-Invariant Approach to Content-Based Image Retrieval, A
Rotation- and scale-invariant texture features based on spectral moment invariants
Rotation-and-scale-invariant airplane detection in high-resolution satellite images based on deep-Hough-forests
Rotation-Aware and Multi-scale Convolutional Neural Network for Object Detection in Remote Sensing Images
Rotation-Independent and scale-Independent Pattern-Recognition Through Optimization
Rotation-Invariant and scale-Invariant Feature-Extraction by a Diffractive Optical Inner-Product Transform
Rotation-invariant and scale-invariant Gabor features for texture image retrieval
Rotation-invariant fast features for large-scale recognition and real-time tracking
Rotation-Invariant Operators and scale-Space Filtering
Roughness Mapping on Various Vertical scales Based on Full-Waveform Airborne Laser Scanning Data
RPR-Net: A Point Cloud-based Rotation-aware Large scale Place Recognition Network
RR^2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images
RSANet: Deep Recurrent scale-Aware Network for Crowd Counting
RSFAD: A Large-scale Real Scenario Face Age Dataset in the wild
RSILC: Rotation- and scale-Invariant, Line-based Color-aware descriptor
RSIMS: Large-scale Heterogeneous Remote Sensing Images Management System
RSINet: Rotation-scale Invariant Network for Online Visual Tracking
RSLAM: A System for Large-scale Mapping in Constant-Time Using Stereo
RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs
Rule-based hidden relation recognition for large scale knowledge graphs
RV-TMO: Large-scale Dataset for Subjective Quality Assessment of Tone Mapped Images
RWF-2000: An Open Large scale Video Database for Violence Detection
S3ANet: Spectral-spatial-scale attention network for end-to-end precise crop classification based on UAV-borne H2 imagery
S3D: Scalable Pedestrian Detection via Score scale Surface Discrimination
S3U-PVNet: Arbitrary-scale point cloud upsampling via Point-Voxel Network based on Siamese Self-Supervised Learning
SA-CenterNet: scale Adaptive CenterNet for X-RAY Luggage Image Detection
Saddle-node dynamics for edge-preserving and scale-space filtering
Safe Route Carpooling to Avoid Accident Locations and Small-scale Proof of Concept in Japan
SAFE: scale Aware Feature Encoder for Scene Text Recognition
SaHAN: scale-Aware Hierarchical Attention Network for Scene Text Recognition
Saint Petersburg 3D: Creating a Large-scale Hybrid Mobile LiDAR Point Cloud Dataset for Geospatial Applications
Salience Indicators for Landmark Extraction at Large Spatial scales Based on Spatial Analysis Methods
Salience measure for assessing scale-based features in mammograms
Saliency Based on Multi-scale Ratio of Dissimilarity
Saliency detection using joint spatial-color constraint and multi-scale segmentation
Saliency detection via cross-scale deep inference
Saliency Detection via Multi-scale Global Cues
Saliency Detection with Multi-scale Superpixels
Saliency Maps and Attention Selection in scale and Spatial Coordinates: An Information Theoretic Approach
Saliency of Interest Points under scale Changes
Saliency, scale and Image Description
Salient object detection based on global multi-scale superpixel contrast
Salient object detection network with multi-scale feature refinement and boundary feedback
Salient Object Detection on Large-scale Video Data
Salient Object Detection via Dynamic scale Routing
Salient Object Detection with CNNs and Multi-scale CRFs
Salient Regions from scale-Space Trees
Salient Skin Lesion Segmentation via Dilated scale-Wise Feature Fusion Network
SAMNet: Stereoscopically Attentive Multi-scale Network for Lightweight Salient Object Detection
Sampled Weighted Min-Hashing for Large-scale Topic Mining
Sampling Techniques for Large-scale Object Detection From Sparsely Annotated Objects
Sampling-Based Density Peaks Clustering Algorithm for Large-scale Data, A
SAN: Learning Relationship Between Convolutional Features for Multi-scale Object Detection
SAR Image Recognition with Monogenic scale Selection-Based Weighted Multi-task Joint Sparse Representation
SAR Interferometry on a Very Long Time scale: A Study of the Interferometric Characteristics of Man-Made Features
SASO: Joint 3D semantic-instance segmentation via multi-scale semantic association and salient point clustering optimization
SAT: scale-Augmented Transformer for Person Search
Satellite Constellation Reveals Crop Growth Patterns and Improves Mapping Accuracy of Cropping Practices for Subtropical Small-scale Fields in Japan
Satellite Image Processing for the Coarse-scale Investigation of Sandy Coastal Areas
Satellite Image Super-Resolution via Multi-scale Residual Deep Neural Network
Satellite Imagery-Based SERVES Soil Moisture for the Analysis of Soil Moisture Initialization Input scale Effects on Physics-Based Distributed Watershed Hydrologic Modelling
Satellite Leaf Area Index: Global scale Analysis of the Tendencies Per Vegetation Type Over the Last 17 Years
Satellite-Drone Image Cross-View Geolocalization Method Based on Multi-scale Information and Dual-Channel Attention Mechanism, A
Satellite-Observed Multi-scale Variability of Sea Surface Chlorophyll-a Concentration along the South Coast of the Sumatra-Java Islands
Satellite-Observed Time and Length scales of Global Sea Surface Salinity Variability: A Comparison of Three Satellite Missions
SatlasPretrain: A Large-scale Dataset for Remote Sensing Image Understanding
SBAS-InSAR Based Deformation Detection of Urban Land, Created from Mega-scale Mountain Excavating and Valley Filling in the Loess Plateau: The Case Study of Yan'an City
Scalable and Practical Natural Gradient for Large-scale Deep Learning
Scalable coding of shape contours in scale space
Scalable Deep Hashing for Large-scale Social Image Retrieval
Scalable Image Coding By Spline Approximation For a Gray-scale Image
Scalable Method to Improve Large-scale Lidar Topographic Differencing Results, A
Scalable Surface Reconstruction from Point Clouds with Extreme scale and Density Diversity
scale Accuracy Evaluation of Image-Based 3D Reconstruction Strategies Using Laser Photogrammetry
scale Adaptive Complexity Measure of 2D Shapes
scale Adaptive Dictionary Learning
scale Adaptive Filters
scale Adaptive Fusion Network for RGB-D Salient Object Detection
scale Adaptive Kernel Correlation Filter Tracker with Feature Integration, A
scale Adaptive Mean Shift Tracking Based on Feature Point Matching
scale Adaptive Method for Focusing Spectral Peaks, A
scale Adaptive Tracking Using Mean Shift and Efficient Feature Matching
scale Aggregation Network for Accurate and Efficient Crowd Counting
scale alignment of 3D point clouds with different scales
scale alignment of 3D point clouds with different scales
scale Analysis of Several Filter Banks for Color Texture Classification
scale Analysis of Typhoon In-Fa (2021) Based on FY-4A Geostationary Interferometric Infrared Sounder (GIIRS) Observed and All-Sky-Simulated Brightness Temperature
scale and Affine Invariant Interest Point Detectors
scale and Edge Detection with Topological Derivatives
scale and Landscape Features Matter for Understanding Waterbird Habitat Selection
scale and object aware image retargeting for thumbnail browsing
scale and Object Aware Image Thumbnailing
scale and Occlusion Invariant Tracking-by-Detection
scale and orientation adaptive mean shift tracking
scale and Orientation Aware EPI-Patch Learning for Light Field Depth Estimation
scale and Orientation Invariance in Human Face Detection
scale and orientation invariant 3D interest point extraction using HK curvatures
scale and Orientation Invariant Text Segmentation for Born-Digital Compound Images
scale and Rotation Invariant Approach to Tracking Human Body Part Regions in Videos
scale and Rotation Invariant Character Segmentation from Coins
scale and rotation invariant color features for weakly-supervised object Learning in 3D space
scale and rotation invariant feature-based object tracking via modified on-line boosting
scale and Rotation Invariant Gabor Features for Texture Retrieval
scale and Rotation Invariant Matching Using Linearly Augmented Trees
scale and rotation invariant OCR for Pashto cursive script using MDLSTM network
scale and rotation invariant scheme for multi-oriented Character Recognition, A
scale and Rotation Invariant Texture Classification Using Covariate Shift Methodology
scale and rotation invariant texture features from the dual-tree complex wavelet transform
scale and Segmentation of Grey-Level Images Using Maximum Gradient Paths
scale and skew-invariant road sign recognition
scale and Texture in Digital Image Classification
scale and the Differential Structure of Images
scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery
scale aware remote sensing image enhancement using rolling guidance
scale balance for prototype-based binary quantization
scale Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
scale Based Description of Planar Curves
scale Behaviour Prediction of Image Analysis Models for 2D Landscape Objects
scale Change Versus Scale Space Representation
scale Change Versus Scale Space Representation
scale coding bag of deep features for human attribute and action recognition
scale Coding Bag-of-Words for Action Recognition
scale Consistent Image Completion
scale Conversion Model Based on Deep Learning of UAV Images, A
scale Decomposed Information Measure in Images, A
scale Dependency of Image Derivatives for Feature Measurement in Curvilinear Structures
scale Dependent Differential Geometry for the Measurement of Center Line and Diameter in 3D Curvilinear Structures
scale Detection and Region Extraction from a Scale-Space Primal Sketch
scale Detection and Region Extraction from a Scale-Space Primal Sketch
scale detection via keypoint density maps in regular or near-regular textures
scale Distribution of Retail Formats in the Central Districts of Chinese Cities: A Study Analysis of Ten Cities
scale Drift Correction of Camera Geo-Localization Using Geo-Tagged Images
scale Effect in Indirect Measurement of Leaf Area Index
scale Effects and Time Variation of Trade-Offs and Synergies among Ecosystem Services in the Pearl River Delta, China
scale Effects of the Relationships between Urban Heat Islands and Impact Factors Based on a Geographically-Weighted Regression Model
scale Equivariance Improves Siamese Tracking
scale Estimation Algorithm Using Phase-Based Correspondence Matching for Electron Microscope Images, A
scale Estimation in Multiple Models Fitting via Consensus Clustering
scale Estimation of Monocular SfM for a Multi-modal Stereo Camera
scale estimation with difference of ordered residuals
scale estimation-based visual tracking with optimized convolutional activation features
scale Factor Determination for the GRACE Follow-On Laser Ranging Interferometer Including Thermal Coupling
scale Filtered Euclidean Medial Axis
scale filtered Euclidean medial axis and its hierarchy
scale Impact of Soil Moisture Observations to Noah-MP Land Surface Model Simulations
scale in Scale for SAR Ship Instance Segmentation
scale in Scale for SAR Ship Instance Segmentation
scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes, A
scale Information Enhancement for Few-Shot Object Detection on Remote Sensing Images
scale invariance and noise in natural images
scale Invariance for Evolved Interest Operators
scale invariance without scale selection
scale invariance without scale selection
scale invariant 3D multi-person tracking using a base set of bundle adjusted visual landmarks
scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
scale invariant and deformation tolerant partial shape matching
scale Invariant and Noise Robust Interest Points With Shearlets
scale invariant cosegmentation for image groups
scale invariant descriptors in pattern analysis of melanocytic lesions
scale invariant distance measure for texture retrieval, A
scale Invariant Face Detection Method Using Higher-Order Local Autocorrelation Features Extracted from Log-Polar Image
scale invariant face recognition using probabilistic similarity measure
scale Invariant Feature Transform on the Sphere: Theory and Applications
scale Invariant Feature Transform with Irregular Orientation Histogram Binning
scale Invariant Feature Transform: A Graphical Parameter Analysis
scale Invariant Features, SIFT, SURF, ASIFT
scale Invariant Geometry for Nonrigid Shapes
scale Invariant Human Action Detection from Depth Cameras Using Class Templates
scale invariant images in astronomy through the lens of multifractal modeling
scale Invariant Interest Point Detector for Discriminative Blob Detection, A
scale invariant kernel-based object tracking
scale Invariant Keypoint Detector Based on Visual and Geometrical Cues, A
scale invariant line matching on the sphere
scale invariant line-based co-registration of multimodal aerial data using L1 minimization of spatial and angular deviations
scale Invariant Metrics of Volumetric Datasets
scale Invariant Optical Flow
scale Invariant Robust Registration of 3D-Point Data and a Triangle Mesh by Global Optimization
scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track
scale Invariant Surface Curvature Estimator, A
scale Invariant Texture Analysis Using Multi-scale Local Autocorrelation Features
scale Invariant Texture Analysis Using Multi-scale Local Autocorrelation Features
scale invariant texture representation based on frequency decomposition and gradient orientation
scale Invariants of Three-Dimensional Legendre Moments
scale Issues Related to the Accuracy Assessment of Land Use/Land Cover Maps Produced Using Multi-Resolution Data: Comments on 'The Improvement of Land Cover Classification by Thermal Remote Sensing'
scale Mapping and Dynamic Re-Detecting in Dense Head Detection
scale Match for Tiny Person Detection
scale Matching of 3D Point Clouds by Finding Keyscales with Spin Images
scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images
scale Mixtures of Gaussians and the Statistics of Natural Images
scale Model Experimental Validation and Calibration of the Half-Space Green's Function Born Approximation Model Applied to Cross-Well Radar Sensing
scale multiplication in odd Gabor transform domain for edge detection
scale Normalized Image Pyramids With AutoFocus for Object Detection
scale Normalized Radial Fourier Transform as a Robust Image Descriptor
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 of edges, The
scale of Geometric Texture, The
scale Optimization in Topographic and Hydrographic Feature Mapping Using Fractal Analysis
scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale segmentation as an example
scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale segmentation as an example
scale preserving PTZ tracking with size estimation using tilt sensory data
scale Preserving Smoothing of Polygons
scale Properties of Curvature and Torsion Zero-Crossings
scale Proportionate Histograms of Oriented Gradients for Object Detection in Co-Registered Visual and Range Data
scale Pyramid Network for Crowd Counting
scale ratio ICP for 3D point clouds with different scales
scale ratio ICP for 3D point clouds with different scales
scale Recovery for Monocular Visual Odometry Using Depth Estimated with Deep Convolutional Neural Fields
scale recovery in multicamera cluster SLAM with non-overlapping fields of view
scale Region Recognition Network for Object Counting in Intelligent Transportation System
scale resilient, rotation invariant articulated object matching
scale robust deep oriented-text detection network
scale Robust Multi View Stereo
scale robust point matching-Net: End-to-end scale point matching using Lie group
scale robust point matching-Net: End-to-end scale point matching using Lie group
scale selection for anisotropic diffusion filter by Markov random field model
scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization
scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization
scale selection for classification of point-sampled 3D surfaces
scale Selection for Compact Scale-Space Representation of Vector-Valued Images
scale Selection for Compact Scale-Space Representation of Vector-Valued Images
scale Selection for Differential Operators
scale selection for supervised image segmentation
scale Selection for the Analysis of Point Sampled Curves: Extended Report
scale Selection for the Analysis of Point-Sampled Curves
scale selection principle for estimating image deformations, A
scale Selection Properties of Generalized Scale-Space Interest Point Detectors
scale Selection Properties of Generalized Scale-Space Interest Point Detectors
scale Selection Using 3 Different Representations For Images
scale Selection Using Three Different Representations for Images
scale Sensitivity of Textural Features
scale Space
scale Space -- Lindeberg References
scale Space Analysis and Active Contours for Omnidirectional Images
scale Space Analysis by Stabilized Inverse Diffusion Equations
scale Space and Edge Detection using Anisotropic Diffusion
scale Space and Multi-Scale Techniques
scale Space and Multi-Scale Techniques
scale Space and Variational Methods in Computer Vision
scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents, A
scale Space Aspect Graph, The
scale Space Based Deformable Template Matching Algorithm, A
scale Space Based Grammar for Hand Detection
scale Space Binarization Using Edge Information Weighted by a Foreground Estimation
scale Space Classification Using Area Morphology
scale space clustering evolution for salient region detection on 3D deformable shapes
scale Space Computation of Features
scale space filtering on spherical pattern
scale Space Filtering: A New Approach to Multi-Scale Descriptions
scale Space Filtering: A New Approach to Multi-Scale Descriptions
scale Space for Camera Invariant Features
scale space for central catadioptric systems: Towards a generic camera feature extractor
scale Space for Contour Registration Using Minimal Surfaces, A
scale Space for Descriptions
scale Space for Discrete Images
scale Space Graph Representation and Kernel Matching for Non Rigid and Textured 3D Shape Retrieval
scale Space Hierarchy
scale Space Hierarchy of Segments
scale Space Localization, Blur, and Contour-Based Image Coding
scale Space Method for Volume Preserving Image Registration, A
scale Space Operators on Hierarchies of Segmentations
scale space Radon transform
scale Space Radon Transform for Non Overlapping Thick Ellipses Detection
scale Space Range Image Aspect Graph
scale Space Segmentation of Color Images Using Watersheds and Fuzzy Region Merging
scale Space Smoothing, Image Feature Extraction and Bessel Filters
scale Space Surface Recovery using Binocular Shading and Stereo Information
scale space technique for word segmentation in handwritten manuscripts
scale Space Theory
scale Space Tracking and Deformable Sheet Models for Computational Vision
scale space vector fields for symmetry detection
scale Spaces on Lie Groups
scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data
scale Specific and Robust Edge Line Encoding with Linear-Combinations of Gabor Wavelets
scale specified single shot multibox detector
scale trees for stereo vision
scale variance minimization for unsupervised domain adaptation in image segmentation
scale Variant Image Pyramids
scale weight selection for feature extraction using complex wavelets: A framework
scale- and Affine-Invariant Fan Feature
scale- and orientation-adaptive extension of Local Binary Patterns for texture classification, A
scale- and Orientation-Invariant Generalized Hough Transform: A New Approach
scale- and orientation-invariant keypoints in higher-dimensional data
scale- and Region-Dependence in Landscape-PM2.5 Correlation: Implications for Urban Planning
scale- and Rotation-Invariant Local Binary Pattern Using Scale-Adaptive Texton and Subuniform-Based Circular Shift
scale- and Rotation-Invariant Local Binary Pattern Using Scale-Adaptive Texton and Subuniform-Based Circular Shift
scale-Adaptive Adversarial Patch Attack for Remote Sensing Image Aircraft Detection
scale-Adaptive Convolutions for Scene Parsing
scale-Adaptive Deconvolutional Regression Network for Pedestrian Detection
scale-adaptive EigenEye for fast eye detection in wild web images
scale-Adaptive Face Detection and Tracking in Real Time with SSR Filters and Support Vector Machine
scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
scale-adaptive Landmark Detection, Classification and Size Estimation in 3d Object-background Images
scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
scale-Adaptive Object Tracking with Diverse Ensembles
scale-adaptive orientation estimation
scale-Adaptive Real-Time Crowd Detection and Counting for Drone Images
scale-Adaptive Segmentation and Recognition of Individual Trees Based on LiDAR Data
scale-Adaptive Spatial Appearance Feature Density Approximation for Object Tracking
scale-Adaptive Texture Classification
scale-Arbitrary Invertible Image Downscaling
scale-Aware Alignment of Hierarchical Image Segmentation
scale-aware Automatic Augmentation for Object Detection
scale-Aware Automatic Augmentations for Object Detection With Dynamic Training
scale-aware Conditional Generative Adversarial Network for Image Dehazing
scale-Aware Crowd Counting via Depth-Embedded Convolutional Neural Networks
scale-Aware Domain Adaptive Faster R-CNN
scale-Aware Edge-Preserving Image Filtering via Iterative Global Optimization
scale-Aware Face Detection
scale-Aware Fast R-CNN for Pedestrian Detection
scale-Aware Fast R-CNN for Pedestrian Detection
scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation
scale-aware heatmap representation for human pose estimation
scale-aware hierarchical loss: A multipath RPN for multi-scale pedestrian detection
scale-aware hierarchical loss: A multipath RPN for multi-scale pedestrian detection
scale-aware limited deformable convolutional neural networks for traffic sign detection and classification
scale-Aware Modulation Meet Transformer
scale-Aware Monocular Visual Odometry and Extrinsic Calibration Using Vehicle Kinematics
scale-Aware Neural Network for Semantic Segmentation of Multi-Resolution Remote Sensing Images
scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images
scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes
scale-Aware Pixelwise Object Proposal Networks
scale-aware Polar Representation for Arbitrarily-shaped Text Detection
scale-Aware Pyramid Network for Multi-Scale Object Detection in SAR Images, A
scale-Aware Pyramid Network for Multi-Scale Object Detection in SAR Images, A
scale-Aware RPN for Vehicle Detection
scale-Aware Saliency for Application to Frame Rate Upconversion
scale-Aware Spatially Guided Mapping
scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection
scale-Aware Trident Networks for Object Detection
scale-aware Yolo Model for Pedestrian Detection, A
scale-awareness for More Accurate Object Detection Using Modified Single Shot Detectors
scale-Awareness of Light Field Camera Based Visual Odometry
scale-balanced loss for object detection
scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution
scale-Based Connected Coherence Tree Algorithm for Image Segmentation, A
scale-Based Corner Extraction of a Contour Figure Using a Crystalline Flow
scale-Based Detection of Corners of Planar Curves
scale-based diffusive image filtering preserving boundary sharpness and fine structures
scale-based formulations of statistical self-similarity in images
scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation
scale-Based Hierarchical Description and Matching of Waveforms
scale-based pyramid weighting of the wavelet coefficients in zerotree coding techniques, The
scale-Based Robust Image Segmentation
scale-Consistent Fusion: From Heterogeneous Local Sampling to Global Immersive Rendering
scale-constrained unsupervised evaluation method for multi-scale image segmentation
scale-constrained unsupervised evaluation method for multi-scale image segmentation
scale-Corrected Background Modeling
scale-covariant and Scale-invariant Gaussian Derivative Networks
scale-covariant and Scale-invariant Gaussian Derivative Networks
scale-Dependent 3D Geometric Features
scale-Dependent Adaptation of Image Analysis Models Incorporating Local Context Objects
scale-Dependent Adaptation of Object Models for Road Extraction
scale-dependent hierarchical unsupervised segmentation of textured images
scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
scale-Driven Change Detection Method Incorporating Uncertainty Analysis for Remote Sensing Images, A
scale-Driven Iterative Optimization for Brain Extraction and Registration
scale-Equalizing Pyramid Convolution for Object Detection
scale-Equivalent Distillation for Semi-Supervised Object Detection
scale-Free Content Based Image Retrieval (or Nearly so)
scale-Free Convolutional Neural Network for Remote Sensing Scene Classification
scale-free distribution of false positives for a large class of audio similarity measures, A
scale-Free Properties of Human Mobility and Applications to Intelligent Transportation Systems
scale-Free Registrations in 3D: 7 Degrees of Freedom with Fourier Mellin SOFT Transforms
scale-Free Single Image Deraining Via Visibility-Enhanced Recurrent Wavelet Learning
scale-hierarchical 3D object recognition in cluttered scenes
scale-Imprecision Space
scale-Independent Dominant Point Detection Algorithm, A
scale-independent quality criteria for dimensionality reduction
scale-Invariance of Support Vector Machines based on the Triangular Kernel
scale-invariant anomaly detection with multiscale group-sparse models
scale-invariant batch-adaptive residual learning for person re-identification
scale-invariant change detection method for land use/cover change research, A
scale-Invariant Contour Completion Using Conditional Random Fields
scale-invariant contour segment context in object detection
scale-invariant corner keypoints
scale-invariant density-based clustering initialization algorithm and its application
scale-invariant feature matching based on pairs of feature points
scale-Invariant Features and Polar Descriptors in Omnidirectional Imaging
scale-Invariant Features for 3-D Mesh Models
scale-Invariant Features on the Sphere
scale-invariant heat kernel signatures for non-rigid shape recognition
scale-Invariant Image Recognition Based on Higher-Order Autocorrelation Features
scale-invariant line descriptors for wide baseline matching
scale-invariant medial features based on gradient vector flow fields
scale-Invariant Multi-Level Context Aggregation Network for Weakly Supervised Building Extraction
scale-Invariant Multi-Oriented Text Detection in Wild Scene Image
scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
scale-Invariant Polyhedral Object Recognition Using Fragmentary Edge Segments
scale-invariant proximity graph for fast probabilistic object recognition
scale-invariant range features for time-of-flight camera applications
scale-Invariant Region-Based Hierarchical Image Matching
scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion, A
scale-Invariant Salient Edge Detection
scale-invariant sampling for supervised image segmentation
scale-invariant shape features for recognition of object categories
scale-Invariant Siamese Network For Person Re-Identification
scale-invariant template matching using histogram of dominant gradients
scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos, A
scale-Invariant Visual Language Modeling for Object Categorization
scale-Less Feature-Spatial Matching
scale-Localized Abstract Reasoning
scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
scale-orientation histogram for texture image retrieval
scale-progressive Multi-patch Network for image dehazing
scale-Recurrent Multi-residual Dense Network for Image Super-Resolution
scale-Recurrent Network for Deep Image Deblurring
scale-recursive, statistically-based method for anomaly characterization in images based upon observations of scattered radiation, A
scale-Relation Feature for Moving Cast Shadow Detection
scale-Residual Learning Network for Scene Text Detection
scale-rotation invariant features from Non-Subsampled Contourlets
scale-Rotation Invariant Pattern Entropy for Keypoint-Based Near-Duplicate Detection
scale-Rotation Invariant Pattern Recognition Applied to Image Data Compression
scale-selective and noise-robust extended local binary pattern for texture classification
scale-sensitive heatmap representation for multi-person pose estimation, A
scale-Separating Framework for Fusing Satellite Land Surface Temperature Products, A
scale-Sets Image Analysis
scale-Space
scale-Space
scale-Space Analysis and Corner Detection on Digital Curves Using a Discrete Scale-Space Kernel
scale-Space Analysis and Corner Detection on Digital Curves Using a Discrete Scale-Space Kernel
scale-Space Analysis of a Contour Figure Using a Crystalline Flow, A
scale-Space Analysis of Discrete Filtering Over Arbitrary Triangulated Surfaces
scale-Space Approach for Deformable Contour Optimization, A
scale-Space Approach for Multiscale Shape Analysis, A
scale-space approach for the comparison of HK and SC curvature descriptions as applied to object recognition
scale-Space Approach to Face Recognition from Profiles, A
scale-Space Approach to Landmark Constrained Image Registration, A
scale-Space Approach to Nonlocal Optical Flow Calculations, A
scale-space approach to preattentive texture discrimination, A
scale-space based hierarchical representation of discrete data, A
scale-Space Behavior of Planar-Curve Corners
scale-Space Behaviour and Invariance Properties of Differential Singularities
scale-Space Behaviour of Local Extrema and Blobs
scale-space chip, A
scale-space clustering and classification of SAR images with numerous attributes and classes
scale-Space Clustering on a Unit Hypersphere
scale-Space Clustering on the Sphere
scale-Space Clustering with Recursive Validation
scale-space compression and its application using spectral theory
scale-Space Decomposition and Nearest Linear Combination Based Approach for Face Recognition
scale-Space Derived from B-splines
scale-Space Displacement Of Zero-Crossings Of Del(2)G Operated Images For Convex-Bodies And Convex-Sets
scale-Space Events and Their Link to Abstraction for Road Extraction
scale-Space Feature Based Image Watermarking in Contourlet Domain
scale-Space Features for Object Detection
scale-Space Filtering
scale-Space Filtering Approach for Visual Feature-Extraction, A
scale-space filtering using a piecewise polynomial representation
scale-Space Flow for End-to-End Optimized Video Compression
scale-Space for Discrete Signals
scale-Space for N-Dimensional Discrete Signals
scale-Space Formulation of Pyramid Data Structures, The
scale-Space from a Level Lines Tree
scale-Space from Nonlinear Filters
scale-Space Generation via Uncertainty Principles
scale-Space Image Analysis Based on Hermite Polynomials Theory
scale-Space Kernels for Additive Modeling
scale-Space Matching and Image Retrieval
scale-Space Medialness Transform Based on Boundary Concordance Voting, A
scale-space method of image ringing estimation
scale-Space Methods for Image Feature Modeling in Vision Metrology
scale-Space on Image Profiles about an Object Boundary
scale-Space Primal Sketch: Construction and Experiments
scale-Space Processing Using Polynomial Representations
scale-Space Properties of Nonstationary Iterative Regularization Methods
scale-Space Properties of Quadratic Edge Detectors
scale-Space Properties of Quadratic Feature-Detectors
scale-Space Properties of Regularization Methods
scale-Space Properties of the Multiscale Morphological Dilation Erosion
scale-Space Reeb-Graph of Topological Invariants of Images and Its Applications to Content Identification, A
scale-Space Representation Based on Levelings Through Hierarchies of Level Sets
scale-Space Representation of Lung HRCT Images for Diffuse Lung Disease Classification
scale-space representation of scalar functions on 2D manifolds
scale-Space Semilocal Invariants
scale-Space SIFT flow
scale-space signatures for the detection of clustered microcalcifications in digital mammograms
scale-Space Singularities
scale-space spatio-temporal random fields: Application to the detection of growing microbial patterns from surface roughness
scale-Space Spectral Representation of Shape
scale-space technique for polygonal approximation of planar curves, A
scale-Space Techniques for Fiducial Points Extraction from 3D Faces
scale-Space Texture Classification Using Combined Classifiers
scale-space texture description on SIFT-like textons
scale-space theories for scalar and vector images
scale-Space Theory for Auditory Signals
scale-Space Theory in Computer Vision
scale-Space Theory: A Basic Tool for Analysing Structures at Different Scales
scale-Space Theory: A Basic Tool for Analysing Structures at Different Scales
scale-Space Toggle Operator for Image Transformations, A
scale-Space Tree and Its Hierarchy
scale-Space Trees and Applications as Filters for Stereo Vision and Image Retrieval
scale-Space Unsupervised Cluster Analysis
scale-Space Using Mathematical Morphology
scale-Space Vector Fields for Feature Analysis
scale-Space with Causal Time Direction
scale-Space: A Basis for Early Vision
scale-Space: Its Natural Operators and Differential Invariants
scale-spaces, PDE's, and scale invariance
scale-spaces, PDE's, and scale invariance
scale-specific Hyperspectral Remote Sensing Approach in Environmental Research
scale-Specific Prediction of Topsoil Organic Carbon Contents Using Terrain Attributes and SCMaP Soil Reflectance Composites
scale-Synthesis Method for High Spatial Resolution Remote Sensing Image Segmentation, A
scale-time kernels and models
scale-Transferrable Object Detection
scale-variable region-merging for high resolution remote sensing image segmentation
scale-Varying Triplet Ranking with Classification Loss for Facial Age Estimation
scale-Vector Approach For Edge-Detection, A
scale-weighted dense bag of visual features for 3D model retrieval from a partial view 3D model
scale: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
scale: Online Self-Supervised Lifelong Learning without Prior Knowledge
scale: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors
scaled CCR Histogram for Scale-Invariant Texture Classification
scaleKD: Distilling Scale-Aware Knowledge in Small Object Detector
scaleNet: A Shallow Architecture for Scale Estimation
scaleNet: Searching for the Model to Scale
scales in natural images and a consequence on their BV norm
scales of oblique photographs updated
Scaling the Walls of History: The Perils and Pitfalls of Multi-scale Land Cover Comparison
ScanComplete: Large-scale Scene Completion and Semantic Segmentation for 3D Scans
Scanning, Multibeam, Single Photon Lidars for Rapid, Large scale, High Resolution, Topographic and Bathymetric Mapping
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection
ScatSimCLR: Self-Supervised Contrastive Learning with Pretext Task Regularization for Small-scale Datasets
Scene categorization based on local-global feature fusion and multi-scale multi-spatial resolution encoding
Scene Classification Based on a Deep Random-scale Stretched Convolutional Neural Network
Scene Classification Method Based on Multi-scale Convolutional Neural Network with Long Short-Term Memory and Whale Optimization Algorithm
Scene Graph Inference via Multi-scale Context Modeling
Scene invariant crowd counting using multi-scales head detection in video surveillance
Scene Recognition with CNNs: Objects, scales and Dataset Bias
Scene text detection based on multi-scale SWT and edge filtering
SCF-Net: Learning Spatial Contextual Features for Large-scale Point Cloud Segmentation
SciOL and MuLMS-Img: Introducing A Large-scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain
ScPnP: A non-iterative scale compensation solution for PnP problems
Screen Content Image Quality Assessment Using Multi-scale Difference of Gaussian
Scrubbing Up: Multi-scale Investigation of Woody Encroachment in a Southern African Savannah
SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers
SDCS-CF: Saliency-driven localization and cascade scale estimation for visual tracking
SDF-MAN: Semi-Supervised Disparity Fusion with Multi-scale Adversarial Networks
SDNet: Image-based sonar detection network for multi-scale objects
SDPDet: Learning scale-Separated Dynamic Proposals for End-to-End Drone-View Detection
SDSDet: A real-time object detector for small, dense, multi-scale remote sensing objects
Search Tracker: Human-Derived Object Tracking in the Wild Through Large-scale Search and Retrieval
SeaShips: A Large-scale Precisely Annotated Dataset for Ship Detection
Season Spotter: Using Citizen Science to Validate and scale Plant Phenology from Near-Surface Remote Sensing
Seasonal Differences in Spatial scales of Chlorophyll-a Concentration in Lake Taihu, China
Second Order Structure of scale-Space Measurements
secure high capacity full-gray-scale-level multi-image information hiding and secret image authentication scheme via Tchebichef moments, A
Seeing Beyond the Patch: scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning
SeeTek: Very Large-scale Open-set Logo Recognition with Text-Aware Metric Learning
Segmentation in scale space
Segmentation Induced by scale Invariance
Segmentation of Coarse and Fine scale Features Using Multi-scale Diffusion and Mumford-Shah
Segmentation of Coarse and Fine scale Features Using Multi-scale Diffusion and Mumford-Shah
Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions
Segmentation of Images via scale-space Trees, The
Segmentation of large-scale remotely sensed images on a Spark platform: A strategy for handling massive image tiles with the MapReduce model
Segmentation of Triangular Meshes Using Multi-scale Normal Variation
Segmentation quality evaluation based on multi-scale convolutional neural networks
Segmentation Quality Evaluation for Large scale Mapping Purposes in Flanders, Belgium
Segmentation system and its evaluation for gray scale coin documents
segmentation-free approach for skeletonization of gray-scale images via anisotropic vector diffusion, A
Segmentation-free Skeletonization of Gray-scale Images via PDE's
Segmenting at Higher scales to Classify at Lower Scales: A Mathematical Morphology Based Methodology Applied to Forest Cover Remote Sensing Images
Segmenting at Higher scales to Classify at Lower Scales: A Mathematical Morphology Based Methodology Applied to Forest Cover Remote Sensing Images
Segmenting by Compression using Linear scale-Space and Watersheds
Segmenting Handwritten Math Symbols Using AdaBoost and Multi-scale Shape Context Features
Segmenting multisensor aerial images in class-scale space
Selecting Appropriate Spatial scale for Mapping Plastic-Mulched Farmland with Satellite Remote Sensing Imagery
Selection Module for Large-scale Face Recognition Systems, A
Selection of Natural scales in 2D Images Using Adaptive Gabor Filtering, The
Selection of scale-invariant parts for object class recognition
Selective Learning of Human Pose Estimation Based on Multi-scale Convergence Network
Self-Adaptive Filtering for Ultra-Large-scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy Minimization
Self-adaptive Multi-scale Aggregation Network for Stereo Matching
Self-Calibration with Two Views Using the scale-Invariant Feature Transform
Self-learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray scale Invariants
Self-Paced Relational Contrastive Hashing for Large-scale Image Retrieval
Self-Recognized Image Protection Technique that Resists Large-scale Cropping
Self-Scalable Tanh (Stan): Multi-scale Solutions for Physics-Informed Neural Networks
Self-similarity Driven scale-invariant Learning for Weakly Supervised Person Search
Self-similarity of Noise in scale-space
Self-Supervised Arbitrary-scale Implicit Point Clouds Upsampling
Self-Supervised Arbitrary-scale Point Clouds Upsampling via Implicit Neural Representation
Self-Supervised Monocular Depth Estimation Using Global and Local Mixed Multi-scale Feature Enhancement Network for Low-Altitude UAV Remote Sensing
Self-Supervised Multi-scale Cropping and Simple Masked Attentive Predicting for Lung CT-Scan Anomaly Detection
Self-supervised multi-scale pyramid fusion networks for realistic bokeh effect rendering
Self-supervised multi-scale semantic consistency regularization for unsupervised image-to-image translation
Self-supervised Out-of-Distribution Detection with Dynamic Latent scale GAN
Self-supervised pre-training for large-scale crop mapping using Sentinel-2 time series
Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
SelfD: Self-Learning Large-scale Driving Policies From the Web
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
Semantic alignment of LiDAR data at city scale
Semantic guided knowledge graph for large-scale zero-shot learning
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval
Semantic image content filtering via edge-preserving scale-aware filter
Semantic Image Segmentation by scale-Adaptive Networks
Semantic Mapping of Large-scale Outdoor Scenes for Autonomous Off-Road Driving
Semantic Partition Algorithm Based on Improved K-Means Clustering for Large-scale Indoor Areas, A
Semantic Road Segmentation via Multi-scale Ensembles of Learned Features
Semantic Segmentation and Object Recognition Using Scene-Context scale
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Semantic Segmentation of Large-scale Outdoor Point Clouds by Encoder-Decoder Shared MLPs with Multiple Losses
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 With Multi scale Spatial Attention For Self Driving Cars
Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-scale Multimedia Retrieval
Semantic-Enhanced Graph Convolutional Neural Networks for Multi-scale Urban Functional-Feature Identification Based on Human Mobility
Semi-Automated BIM Reconstruction of Full-scale Space Frames with Spherical and Cylindrical Components Based on Terrestrial Laser Scanning
Semi-Automated Monitoring of a Mega-scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data
Semi-automatic 2D to 3D image conversion using scale-space Random Walks and a graph cuts based depth prior
Semi-automatic choice of scale-dependent features for satellite SAR image classification
Semi-automatic Pipeline for Large-scale Dataset Annotation Task: A DMD Application
Semi-Flocking Algorithm for Motion Control of Mobile Sensors in Large-scale Surveillance Systems
Semi-Supervised Graph Convolutional Hashing Network For Large-scale Cross-Modal Retrieval
Semi-Supervised Hashing for Large-scale Search
Semi-supervised Learning for Large scale Image Cosegmentation
Semi-supervised learning on large-scale geotagged photos for situation recognition
Semi-Supervised Maximum Margin Metric Learning Approach for Small scale Person Re-Identification, A
Semi-Supervised Medical Image Semantic Segmentation with Multi-scale Graph Cut Loss
Semi-Supervised Metric Learning-Based Anchor Graph Hashing for Large-scale Image Retrieval
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-scale Guided Dense Attention
Semi-supervised Trajectory Learning Using a Multi-scale Key Point Based Trajectory Representation
Semi-Supervised Wide-Angle Portraits Correction by Multi-scale Transformer
Semiautomatic Extraction of Building Outlines from Large-scale Aerial Images
SEMICON: A Learning-to-Hash Solution for Large-scale Fine-Grained Image Retrieval
Semidiscrete Nonlinear scale-Space Theory and Its Relation to the Perona-Malik Paradox, A
SemST: Semantically Consistent Multi-scale Image Translation via Structure-Texture Alignment
SensatUrban: Learning Semantics from Urban-scale Photogrammetric Point Clouds
Sensitivity Analysis of Mesh Warping and Subsampling Strategies for Generating Large scale Electrophysiological Simulation Data
Sensitivity Analysis of Sentinel-1 Backscatter to Oil Palm Plantations at Pluriannual scale: A Case Study in Gabon, Africa
Sensitivity Analysis of Vegetation Reflectance to Biochemical and Biophysical Variables at Leaf, Canopy, and Regional scales
Sensitivity of a Floodplain Hydrodynamic Model to Satellite-Based DEM scale and Accuracy: Case Study: The Atchafalaya Basin
Sensitivity of spectral reflectance values to different burn and vegetation ratios: A multi-scale approach applied in a fire affected area
Sensitivity of TDS-1 GNSS-R Reflectivity to Soil Moisture: Global and Regional Differences and Impact of Different Spatial scales
Separating Signal from Noise Using Patch Recurrence across scales
Sequential Point Cloud Upsampling by Exploiting Multi-scale Temporal Dependency
SfM with MRFs: Discrete-Continuous Optimization for Large-scale Structure from Motion
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-scale Perception
Shadow detection via multi-scale feature fusion and unsupervised domain adaptation
Shallow Multi-scale Network for Stylized Super-Resolution
Shape Characterization in Natural scales By Using the Multiscale Bending Energy
Shape classification using complex network and Multi-scale Fractal Dimension
Shape Description and Classification Using the Interrelationship of Structures at Multiple scales
Shape Descriptor Combining Logarithmic-scale Histogram of Radon Transform and Phase-Only Correlation Function, A
Shape feature extraction and description based on tensor scale
Shape from Texture from a Multi-scale Perspective
Shape from Texture Method Based on Local scales Extraction: Precision and Results, A
Shape From Texture: Local scales And Vanishing Line Computation To Improve Results For Macrotextures
Shape from texture: textural invariance and the problem of scale in perspective images of textured surfaces
Shape indexing by multi-scale representation
Shape Matching Based on Rectangularized Curvature scale-Space Maps
Shape Matching Using a Curvature Based Polygonal Approximation in scale-space
Shape Metrics from Curvature-scale Space and Curvature-Tuned Smoothing
Shape modeling via local curvature scale
Shape recognition using orientational and morphological scale-spaces of curvatures
Shape Representation and Recognition Through Morphological Curvature scale Spaces
Shape Robust Text Detection With Progressive scale Expansion Network
Shape Similarity Retrieval Using a Height Adjustment Curvature scale Space Image
Shape Skeleton Classification Using Graph and Multi-scale Fractal Dimension
shape-based object class detection model using local scale-invariant fragment feature, A
Shape-Matching GAN++: scale Controllable Dynamic Artistic Text Style Transfer
Sharable and Efficient Metadata Model for Heterogeneous Earth Observation Data Retrieval in Multi-scale Flood Mapping, A
Shedding New Light on Mountainous Forest Growth: A Cross-scale Evaluation of the Effects of Topographic Illumination Correction on 25 Years of Forest Cover Change across Nepal
Shells and Spheres: A Framework for Variable scale Statistical Image Analysis
Shift-scale Complex Correlation for Wide-Angle Coherent Cross-Track SAR Stereo Processing
Shiftable Multi-scale Transforms: or What's Wrong with Orthonormal Wavelets
Ship Detection from Optical Remote Sensing Images Using Multi-scale Analysis and Fourier HOG Descriptor
Ship Detection in Large-scale SAR Images Via Spatial Shuffle-Group Enhance Attention
Ship Detection in SAR Images Based on Multi-scale Feature Extraction and Adaptive Feature Fusion
Ship Detection Method via Redesigned FCOS in Large-scale SAR Images, A
Ship Detection via Multi-scale Deformation Modeling and Fine Region Highlight-Based Loss Function
Short-term origin-destination demand forecasting in bus rapid transit based on dual attentive multi-scale convolutional network
Shot scale Analysis in Movies by Convolutional Neural Networks
Show Me a Video: A Large-scale Narrated Video Dataset for Coherent Story Illustration
SHREC'10 Track: Large scale Retrieval
Shunted Self-Attention via Multi-scale Token Aggregation
Siamese Multi-scale Adaptive Search Network for Remote Sensing Single-Object Tracking
SIFER: scale-Invariant Feature Detector with Error Resilience
SIFTing Through scales
SIGMA: scale-Invariant Global Sparse Shape Matching
Signal Matching Through scale Space
Signal Occlusion-Resistant Satellite Selection for Global Navigation Applications Using Large-scale LEO Constellations
Signing at scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production
Signing at scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production
Silhouette vectorization by affine scale-space
Silhouette-Based Isolated Object Recognition through Curvature scale-Space
Silhouette-Based Object Recognition through Curvature scale Space
Silhouette-Based Occluded Object Recognition Through Curvature scale-Space
Similarity Domains Machine for scale-Invariant and Sparse Shape Modeling
Similarity-preserving hashing based on deep neural networks for large-scale image retrieval
Simple Algorithm for Large-scale Mapping of Evergreen Forests in Tropical America, Africa and Asia, A
Simple and Efficient Method for Correction of Basin-scale Evapotranspiration on the Tibetan Plateau, A
Simple Layout Segmentation of Gray-scale Document Images
Simple Multi-scale Model to Evaluate Left Ventricular Growth Laws, A
Simple Parametric Equation for Pseudocoloring Grey-scale Images Keeping Their Original Brightness Progression, A
Simple Representation and Approximate Search of Feature Vectors for Large-scale Object Recognition
Simple Single-scale Vision Transformer for Object Detection and Instance Segmentation, A
Simpler Method for Large scale Digital Orthophoto Production, A
Simulating Large-scale 3D Cadastral Dataset Using Procedural Modelling
Simulation of Cooling Island Effect in Blue-Green Space Based on Multi-scale Coupling Model
Simulation of Urban scale Expansion Under the Restriction of Land Price Based on GIS and CA
Simultaneous Context Feature Learning and Hashing for Large scale Loop Closure Detection
Simultaneous Estimation of Near IR BRDF and Fine-scale Surface Geometry
Simultaneous Feature Aggregating and Hashing for Large-scale Image Search
Simultaneous Multi-scale Diffusion Estimation and Tractography Guided by Entropy Spectrum Pathways
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping
Simultaneous Road Surface and Centerline Extraction From Large-scale Remote Sensing Images Using CNN-Based Segmentation and Tracing
SINet: A scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection
Single Epoch Ambiguity Resolution of Small-scale CORS with Multi-Frequency GNSS
Single Image Brightening via Multi-scale Exposure Fusion With Hybrid Learning
Single Image Dehazing by Multi-scale Fusion
Single Image Dehazing via Multi-scale Convolutional Neural Networks
Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges
Single Image Dehazing Via Multi-scale Gradient Domain Contrast Enhancement
Single Image Depth Estimation With Normal Guided scale Invariant Deep Convolutional Fields
Single image deraining using multi-scales context information and attention network
Single Image Example-Based Super-Resolution Using Cross-scale Patch Matching and Markov Random Field Modelling
Single image reflection removal through multi-scale gradient refinement
Single Image Super-Resolution Using Asynchronous Multi-scale Network
Single Image Super-Resolution via Multi-scale Information Polymerization Network
Single image super-resolution with dilated convolution based multi-scale information learning inception module
Single Shot Framework with Multi-scale Feature Fusion for Geospatial Object Detection, A
Single Stage Vehicle Logo Detector Based on Multi-scale Prediction
Single View Scene scale Estimation using Scale Field
Single View Scene scale Estimation using Scale Field
Single-Epoch Ambiguity Resolution of a Large-scale CORS Network with Multi-Frequency and Multi-Constellation GNSS
Single-Fusion Detector: Towards Faster Multi-scale Object Detection
Single-Image Blind Deblurring Using Multi-scale Latent Structure Prior
Single-Image Rain Removal Via Multi-scale Cascading Image Generation
Single-scale Fusion: An Effective Approach to Merging Images
Single-Shot scale-Aware Network for Real-Time Face Detection
Single-Stage Adaptive Multi-scale Point Cloud Noise Filtering Algorithm Based on Feature Information
Singularities of Contrast Functions in scale Space
Singularity Analysis and Derivative scale-Space
Singularity Theory and Phantom Edges in scale Space
Sinusoidal modelling using perceptual matching pursuits in the bark scale for parametric audio coding
SIPF: scale invariant point feature for 3D point clouds
SITUP: scale Invariant Tracking Using Average Peak-to-Correlation Energy
SIXray: A Large-scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images
SK-SVR: Sigmoid kernel support vector regression based in-scale single image super-resolution
Skeleton-Based Online Action Prediction Using scale Selection Network
Skeletonization of gray-scale image from incomplete boundaries
Sketched Sparse Subspace Clustering For Large-scale Hyperspectral Images
SketchMate: Deep Hashing for Million-scale Human Sketch Retrieval
Skin Color Profile Capture for scale and Rotation Invariant Hand Gesture Recognition
Skin lesion segmentation using object scale-oriented fully convolutional neural networks
SLI-pSp: Injecting Multi-scale Spatial Layout in pSp
Sliding-scale Direct-Feedback PCM Coder for Television, A
Slim UNETR: scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources
SLOAN: scale-Adaptive Orientation Attention Network for Scene Text Recognition
Slope-Restricted Multi-scale Feature Matching for Geostationary Satellite Remote Sensing Images
Slope-scale Evolution Categorization of Deep-Seated Slope Deformation Phenomena with Sentinel-1 Data
Slope-scale Remote Mapping of Rock Mass Fracturing by Modeling Cooling Trends Derived from Infrared Thermography
Slope-scale Rockfall Susceptibility Modeling as a 3D Computer Vision Problem
Slope-Unit scale Landslide Susceptibility Mapping Based on the Random Forest Model in Deep Valley Areas
Small object detection based on hierarchical attention mechanism and multi-scale separable detection
Small Object Detection Method Based on Adaptive Spatial Parallel Convolution and Fast Multi-scale Fusion
Small scale Landslide Detection Using Sentinel-1 Interferometric SAR Coherence
Small scale Rain Field Sensing and Tomographic Reconstruction with Passive Geostationary Satellite Receivers
Small scale single pulse ECG-based authentication using GLRT that considers T wave shift and adaptive template update with prior information
Small-scale Ionospheric Irregularities of Auroral Origin at Mid-latitudes during the 22 June 2015 Magnetic Storm and Their Effect on GPS Positioning
Small-scale Linguistic Steganalysis for Multi-Concealed Scenarios
Small-scale Pedestrian Detection Based on Deep Neural Network
Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation
Small-scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion
Small-scale Topographical Characterization of the Martian Surface With In-Orbit Imagery
Smartphone-Based Adaptive Driving Maneuver Detection: A Large-scale Evaluation Study
SMD-Net: Siamese Multi-scale Difference-Enhancement Network for Change Detection in Remote Sensing
SMFF-YOLO: A scale-Adaptive YOLO Algorithm with Multi-Level Feature Fusion for Object Detection in UAV Scenes
SMNet: Synchronous Multi-scale Low Light Enhancement Network With Local and Global Concern
Smoky vehicle detection based on multi-scale block Tamura features
Smooth Shells: Multi-scale Shape Registration With Functional Maps
Smooth-AP: Smoothing the Path Towards Large-scale Image Retrieval
SMURFS: Superpixels from Multi-scale Refinement of Super-regions
Snow depth estimation at country-scale with high spatial and temporal resolution
Snow Water Equivalent Monitoring: A Review of Large-scale Remote Sensing Applications
Social Anchor-Unit Graph Regularized Tensor Completion for Large-scale Image Retagging
Social Media Search, Large scale Systems, Web-Scale System
Social Media Search, Large scale Systems, Web-Scale System
Social Relation Recognition From Videos via Multi-scale Spatial-Temporal Reasoning
Socially-Aware Large-scale Crowd Forecasting
Software Systems Approach to Multi-scale GIS-BIM Utility Infrastructure Network Integration and Resource Flow Simulation
Soil Data Cube and Artificial Intelligence Techniques for Generating National-scale Topsoil Thematic Maps: A Case Study in Lithuanian Croplands
Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental scale
Soil Moisture Data Assimilation in a Hydrological Model: A Case Study in Belgium Using Large-scale Satellite Data
Soil Moisture from Fusion of Scatterometer and SAR: Closing the scale Gap with Temporal Filtering
Soil Moisture Mapping from Satellites: An Intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over Two Dense Network Regions at Different Spatial scales
Soil Moisture Monitoring at Kilometer scale: Assimilation of Sentinel-1 Products in ISBA
Soil Moisture Remote Sensing across scales
Soil Phosphorus and Nitrogen Predictions Across Spatial Escalating scales in an Aquatic Ecosystem Using Remote Sensing Images
Solar energy potential mapping at a building scale
Solving Large scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming
Solving large-scale general phase retrieval problems via a sequence of convex relaxations
Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms
SOM Segmentation of gray scale images for optical recognition
Some Faces are More Equal than Others: Hierarchical Organization for Accurate and Efficient Large-scale Identity-Based Face Retrieval
Some Morphological scale-Space Filters and Their Properties
Source Parameter Inversion and Century-scale Stress Triggering Analysis of the 2021 Maduo MW7.4 Earthquake Using GNSS and InSAR Displacement Fields
Soya Yield Prediction on a Within-Field scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data
Space-color Quantization of Multispectral Images in Hierarchy of scales
Space-scale Hybrid Continuous-Discrete Sliding Frank-Wolfe Method
Space-Time-scale Registration of Dynamic Scene Reconstructions
SPARF: Large-scale Learning of 3D Sparse Radiance Fields from Few Input Images
Sparse Multi-scale Diffeomorphic Registration: The Kernel Bundle Framework
Sparse Output Coding for Large-scale Visual Recognition
Sparse PCA: Extracting Multi-scale Structure from Data
Sparse Representation-Based Human Detection: A scale-Embedded dictionary approach
sparse robust model for large scale multi-class classification based on K-SVCR, A
sparse version of the ridge logistic regression for large-scale text categorization, A
Sparse-to-Dense Matching Network for Large-scale LiDAR Point Cloud Registration
Sparsification scale-Spaces
Sparsity and scale: Compact representations of deformation for diffeomorphic registration
Sparsity inspired pan-sharpening technique using multi-scale learned dictionary
Spatial and Temporal Analyses of Vegetation Changes at Multiple Time scales in the Qilian Mountains
Spatial and Temporal Evaluation of Broad-scale Yield Predictions Created from Yield Mapping Technology and Landsat Satellite Imagery in the Australian Mediterranean Dryland Cropping Region, A
Spatial Attention for Multi-scale Feature Refinement for Object Detection
Spatial codification of label predictions in multi-scale stacked sequential learning: a case study on multi-class medical volume segmentation
Spatial Compounding of Volumetric Data Enables Freehand Optoacoustic Angiography of Large-scale Vascular Networks
Spatial Correlation Length scales of Sea-Ice Concentration Errors for High-Concentration Pack Ice
Spatial Cross-scale Attention Network and Global Average Accuracy Loss for SAR Ship Detection, A
Spatial Dependence of Predictions from Image Segmentation: A Methods to Determine Appropriate scales for Producing Land-Management Information
Spatial Derivatives and the Propagation of Noise in Gaussian scale Space
Spatial Distribution Characteristics and Influencing Factors on the Retail Industry in the Central Urban Area of Lanzhou City at the scale of Daily Living Circles
Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and scale Effects, The
Spatial Filtering with Multi-scale Segmentation Based on Gaussian Function
Spatial Heterogeneity, scale, Data Character and Sustainable Transport in the Big Data Era
Spatial Heterogeneity-Based Segmentation Model for Analyzing Road Deterioration Network Data in Multi-scale Infrastructure Systems, A
Spatial Layout and scale Invariant Feature Representation for Indoor Scene Classification, A
Spatial Pattern of Highway Transport Dominance in Qinghai-Tibet Plateau at the County scale
Spatial Relationship Analysis of Geographic Elements in Sketch Maps at the Meso and Micro Spatial scales
Spatial scale Effect and Correction of Forest Aboveground Biomass Estimation Using Remote Sensing
Spatial scales of Sea Surface Salinity Subfootprint Variability in the SPURS Regions
Spatial Semantic Regularisation for Large scale Object Detection
Spatial Variability of Raindrop Size Distribution at Beijing City scale and Its Implications for Polarimetric Radar QPE
Spatial-Angular Multi-scale Mechanism for Light Field Spatial Super-Resolution
Spatial-Aware Graph Relation Network for Large-scale Object Detection
spatial-color mean-shift object tracking algorithm with scale and orientation estimation, A
Spatial-Convolution Spectral-Transformer Interactive Network for Large-scale Fast Refined Land Cover Classification and Mapping Based on ZY1-02D Satellite Hyperspectral Imagery
Spatial-related and scale-aware Network for Crowd Counting
Spatial-scale Evaluation of Soil Consolidation Concerning Land Subsidence and Integrated Mechanism Analysis at Macro-, and Micro-Scale: A Case Study in Chongming East Shoal Reclamation Area, Shanghai, China, A
Spatial-scale Evaluation of Soil Consolidation Concerning Land Subsidence and Integrated Mechanism Analysis at Macro-, and Micro-Scale: A Case Study in Chongming East Shoal Reclamation Area, Shanghai, China, A
Spatial-scale-regularized blur kernel estimation for blind image deblurring
Spatial-Spectral Feature Fusion Coupled with Multi-scale Segmentation Voting Decision for Detecting Land Cover Change with VHR Remote Sensing Images
Spatial-Spectral Transformer for Hyperspectral Image Classification Based on Global Dependencies of Multi-scale Features, A
Spatial-Temporal Deep Tensor Neural Networks for Large-scale Urban Network Speed Prediction
Spatial-Temporal Distribution Analysis of Industrial Heat Sources in the US with Geocoded, Tree-Based, Large-scale Clustering
Spatial-Temporal Variation Characteristics and Driving Factors of Net Primary Production in the Yellow River Basin over Multiple Time scales
Spatially adaptive image denoising using inter-scale dependence in directionlet domain
Spatially Adaptive Multi-scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology
Spatially Adaptive Wavelet Transform for Video Coding with Multi-scale Motion Compensation
Spatially Quantifying Forest Loss at Landscape-scale Following a Major Storm Event
Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-scale Latent Spaces
Spatially-Constrained Similarity Measure for Large-scale Object Retrieval
Spatio Temporal Data Cube Applied to AIS Containerships Trend Analysis In the Early Years of the Belt and Road Initiative - From Global To Local scale
Spatio-Featural scale-Space
Spatio-Frequency Trade-Off scale for Scale-Space Filtering, A
Spatio-Frequency Trade-Off scale for Scale-Space Filtering, A
Spatio-Temporal Analysis of Heavy Metals in Arid Soils at the Catchment scale Using Digital Soil Assessment and a Random Forest Model
Spatio-temporal Descriptor Using 3D Curvature scale Space
Spatio-Temporal Dynamics and Driving Forces of Multi-scale CO2 Emissions by Integrating DMSP-OLS and NPP-VIIRS Data: A Case Study in Beijing-Tianjin-Hebei, China
Spatio-Temporal Just Noticeable Distortion Profile for Grey scale Image/Video in DCT Domain
Spatio-Temporal Multi-scale Analysis of Landscape Ecological Risk in Minjiang River Basin Based on Adaptive Cycle
Spatio-Temporal Multi-scale Binary Descriptor, A
Spatio-temporal multi-scale motion descriptor from a spatially-constrained decomposition for online action recognition
Spatio-Temporal Online Matrix Factorization for Multi-scale Moving Objects Detection
Spatio-Temporal Profiling of Public Transport Delays Based on Large-scale Vehicle Positioning Data From GPS in Wroclaw
Spatio-Temporal scale Selection in Video Data
Spatio-temporal scale-Spaces
spatiotemporal attention-based ResC3D model for large-scale gesture recognition, A
Spatiotemporal Comparison and Validation of Three Global-scale Fractional Vegetation Cover Products
Spatiotemporal Dynamics Of Surface Water Extent From Three Decades Of Seasonally Continuous Landsat Time Series At Subcontinental scale
Spatiotemporal Graph Convolutional Network for Multi-scale Traffic Forecasting
Spatiotemporal Patterns in Large-scale Traffic Speed Prediction
Spatiotemporal Patterns of Light Pollution on the Tibetan Plateau over Three Decades at Multiple scales: Implications for Conservation of Natural Habitats
Spatiotemporal Prediction and Mapping of Heavy Metals at Regional scale Using Regression Methods and Landsat 7
Spatiotemporal Variation of Drought and Associated Multi-scale Response to Climate Change over the Yarlung Zangbo River Basin of Qinghai-Tibet Plateau, China
Spatiotemporal Variation of Hourly scale Extreme Rainstorms in the Huang-Huai-Hai Plain and Its Impact on NDVI
Spatiotemporal Variation of Surface Urban Heat Islands in Relation to Land Cover Composition and Configuration: A Multi-scale Case Study of Xi'an, China
Spatiotemporal Variations of Aerosol Optical Depth and the Spatial Heterogeneity Relationship of Potential Factors Based on the Multi-scale Geographically Weighted Regression Model in Chinese National-Level Urban Agglomerations
Spatiotemporally enhancing time-series DMSP/OLS nighttime light imagery for assessing large-scale urban dynamics
SPCNet: scale Position Correlation Network for End-to-End Visual Tracking
Speak2Label: Using Domain Knowledge for Creating a Large scale Driver Gaze Zone Estimation Dataset
Special issue for the 5th International Conference on scale-Space and PDE Methods in Computer Vision
Special Issue on Large-scale 3D Modeling of Urban Indoor or Outdoor Scenes from Images and Range Scans
Special Issue on Large-scale Computer Vision: Geometry, Inference, and Learning
Special Issue on Large-scale Visual Sensor Networks: Architectures and Applications
Special Issue on the Second International Conference on scale Space Theory in Computer Vision, Guest Editors' Comments
Special issue on Virtual Representations and Modeling of Large-scale environments (VRML)
Special section on learning from multiple evidences for large scale multimedia analysis
Species Distribution Models at Regional scale: Cymodocea nodosa Seagrasses
Specific Emitter Identification Based on Multi-scale Multi-Dimensional Approximate Entropy
Specific Windows Search for Multi-Ship and Multi-scale Wake Detection in SAR Images
Spectral clustering with linear embedding: A discrete clustering method for large-scale data
Spectral Heterogeneity Predicts Local-scale Gamma and Beta Diversity of Mesic Grasslands
Spectral Solution of Large-scale Extrinsic Camera Calibration as a Graph Embedding Problem
Spectral Total-Variation Local scale Signatures for Image Manipulation and Fusion
Spectral Unmixing of Forest Crown Components at Close Range, Airborne and Simulated Sentinel-2 and EnMAP Spectral Imaging scale
Spectral-Spatial scale Invariant Feature Transform for Hyperspectral Images
Speech Time-scale Modification With GANs
Sphere2Vec: A general-purpose location representation learning over a spherical surface for large-scale geospatial predictions
Spherical Diffusion for scale-Invariant Keypoint Detection in Wide-Angle Images
Spherically contoured exponential scale mixture prior based nonlocal image restoration with ADMM framework
SpineNet: Learning scale-Permuted Backbone for Recognition and Localization
Sports Video Analysis on Large-scale Data
Spurious Features Everywhere: Large-scale Detection of Harmful Spurious Features in ImageNet
SQN: Weakly-Supervised Semantic Segmentation of Large-scale 3D Point Clouds
Square Root Bundle Adjustment for Large-scale Reconstruction
SRDAN: scale-aware and Range-aware Domain Adaptation Network for Cross-dataset 3D Object Detection
SRIF: scale and Rotation Invariant Features for camera-based document image retrieval
SRTPN: scale and Rotation Transform Prediction Net for Multimodal Remote Sensing Image Registration
SSAS: Spatiotemporal scale Adaptive Selection for Improving Bias Correction on Precipitation
SSDH: Semi-Supervised Deep Hashing for Large scale Image Retrieval
SSNet: scale Selection Network for Online 3D Action Prediction
SSP: Supervised Sparse Projections for Large-scale Retrieval in High Dimensions
SSPNet: scale and spatial priors guided generalizable and interpretable pedestrian attribute recognition
ST3DNetCrime: Improved ST-3DNet Model for Crime Prediction at Fine Spatial Temporal scales
Stability of a Large-scale Connected Vehicle Network in Ring Configuration and With Multiple Delays
Stability of Corner Points in scale Space: The Effects of Small Nonrigid Deformations
Stability of Top-Points in scale Space
stable multi-scale kernel for topological machine learning, A
Stacked Deep Multi-scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image
Stacked Sequential scale-Space Taylor Context
Stagged multi-scale LBP for pedestrian detection
Standing Passenger Comfort: A New scale for Evaluating the Real-Time Driving Style of Bus Transit Services
STAR-FC: Structure-Aware Face Clustering on Ultra-Large-scale Graphs
Staring Spotlight TerraSAR-X SAR Interferometry for Identification and Monitoring of Small-scale Landslide Deformation
Station-Free Bike Rebalancing Analysis: scale, Modeling, and Computational Challenges
Statistical analysis of scale-space
statistical approach to multi-scale edge detection, A
statistical approach to sparse multi-scale phase-based stereo, A
Statistical Approach Toward Channel Modeling With Application to Large-scale Censored Data, A
Statistical Approaches to Multi-scale Point Cloud Processing
Statistical Bias Correction of Precipitation Forecasts Based on Quantile Mapping on the Sub-Seasonal to Seasonal scale
Statistical distributional approach for scale and rotation invariant color image retrieval using multivariate parametric tests and orthogonality condition
Statistical image reconstruction for muon tomography using Gaussian scale mixture model
Statistical optimization of gray-scale morphological filters
Statistical traffic state analysis in large-scale transportation networks using locality-preserving non-negative matrix factorisation
Statistically Valid Graph Representations of scale-Space Geometry
Status of Earth Observation Techniques in Monitoring High Mountain Environments at the Example of Pasterze Glacier, Austria: Data, Methods, Accuracies, Processes, and scales, The
Steerable Pyramid: A Flexible Architecture for Multi-scale Derivative Computation, The
STEERER: Resolving scale Variations for Counting and Localization via Selective Inheritance Learning
Steering in scale Space to Optimally Detect Image Structures
STEPSBI: Quick spatiotemporal fusion with coarse- and fine-resolution scale transformation errors and pixel-based synthesis base image pair
Stereo DSO: Large-scale Direct Sparse Visual Odometry with Stereo Cameras
Stereo Matching as Constrained Optimization Using scale Continuation Methods
Stereo matching based on multi-scale fusion and multi-type support regions
Stereo Matching Method for Remote Sensing Images Based on Attention and scale Fusion
Stereo Matching Using Multi-Level Cost Volume and Multi-scale Feature Constancy
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation
STNet: scale Tree Network With Multi-Level Auxiliator for Crowd Counting
Stochastic analysis of scale-space smoothing
Stochastic Attraction-Repulsion Embedding for Large scale Image Localization
Stochastic boosting for large-scale image classification
Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models
Stochastic Multiview Hashing for Large-scale Near-Duplicate Video Retrieval
Stochastic scale Space for Multiscale Image Representation, A
Stochastic Stereo Matching over scale
STP-SOM: scale-Transfer Learning for Pansharpening via Estimating Spectral Observation Model
Straight-line-based primitive extraction in grey-scale object recognition
Strategy for Variable-scale InSAR Deformation Monitoring in a Wide Area: A Case Study in the Turpan-Hami Basin, China, A
Strategy of Parallel SLIC Superpixels for Handling Large-scale Images over Apache Spark, A
Stream Algebra for Performance Optimization of Large scale Computer Vision Pipelines, A
streaming framework for seamless building reconstruction from large-scale aerial LiDAR data, A
Street-Level Image Localization Based on Building-Aware Features via Patch-Region Retrieval under Metropolitan-scale
Street-to-shop shoe retrieval with multi-scale viewpoint invariant triplet network
Strokelets: A Learned Multi-scale Mid-Level Representation for Scene Text Recognition
Strokelets: A Learned Multi-scale Representation for Scene Text Recognition
Structural Kernel Learning for Large scale Multiclass Object Co-detection
Structural scales in Computational Vision
Structurally adaptive mathematical morphology on nonlinear scale-space representations
Structure Extraction from Various Kinds of Decorated Characters Using Multi-scale Images
Structure from Motion for aerial thermal imagery at city scale: Pre-processing, camera calibration, accuracy assessment
Structure from Motion of Multi-Angle RPAS Imagery Complements Larger-scale Airborne Lidar Data for Cost-Effective Snow Monitoring in Mountain Forests
Structure of Shapes scale Space Aspects of the (pre-) Symmetry Set, The
Structure Tensor Series-Based Large scale Near-Duplicate Video Retrieval
Structure-Aware Face Clustering on a Large-scale Graph with 107 Nodes
Structure-aware image inpainting using patch scale optimization
Structure-Preserving Stereoscopic View Synthesis With Multi-scale Adversarial Correlation Matching
Structure-Preserving Texture Smoothing via scale-Aware Bilateral Total Variation
Student's t-Filters for Noise scale Estimation
Study of English Neologisms Through Large-scale Probabilistic Indexing of Bentham's Manuscripts, A
Study of fabric defects detection through Gabor filter based on scale transformation
study of large-scale ethnicity estimation with gender and age variations, A
Study of Mobile Laser Scanning Data Adjustment Results for Large scale Topographic Mapping, The
Study of Observation scales Based on Felzenswalb-Huttenlocher Dissimilarity Measure for Hierarchical Segmentation, A
Study of Reducing Circuit scale Associated with Bit Depth Expansion Using Predictive Gradation Detection Algorithm
Study of Simulation of the Urban Space 3D Temperature Field at a Community scale Based on High-Resolution Remote Sensing and CFD, A
Study of Temperature Heterogeneities at Sub-Kilometric scales and Influence on Surface-Atmosphere Energy Interactions
Study on Sensitivity of Observation Error Statistics of Doppler Radars to the Radar forward Operator in Convective-scale Data Assimilation
Study on Urban-scale Building, Tree Canopy Footprint Identification and Sky View Factor Analysis with Airborne LiDAR Remote Sensing Data, A
Studying the Applicability of X-Band SAR Data to the Network-scale Mapping of Pavement Roughness on US Roads
STVD-FC: Large-scale TV Dataset - Fact Checking
STVD-PVCD: Large-scale TV Dataset
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-scale Generative Model
StyLIP: Multi-scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization
Su-Sampling Based Active Learning for Large-scale Histopathology Image
Sub-center Arcface: Boosting Face Recognition by Large-scale Noisy Web Faces
Sub-linear Indexing for Large scale Object Recognition
Sub-Selective Quantization for Learning Binary Codes in Large-scale Image Search
Subband coding for large-scale scientific simulation data using JPEG 2000
Subbasin Spatial scale Effects on Hydrological Model Prediction Uncertainty of Extreme Stream Flows in the Omo Gibe River Basin, Ethiopia
Subdivision Scheme for Continuous-scale B-Splines and Affine-Invariant Progressive Smoothing, A
Submacroblock motion compensation for fast down-scale transcoding of compressed video
Submesoscale Currents from UAV: An Experiment over Small-Scale Eddies in the Coastal Black Sea
Subpixel Multilevel scale Feature Learning and Adaptive Attention Constraint Fusion for Hyperspectral Image Classification
Subpixel-scale Topography Retrieval of Mars Using Single-Image DTM Estimation and Super-Resolution Restoration
Subspace method with multi scale wavelet for recognition of printer property
Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site scale Slow Moving Landslides
Suitability of NASA's Black Marble Daily Nighttime Lights for Population Studies at Varying Spatial and Temporal scales
SUN database: Large-scale scene recognition from abbey to zoo
Super-Resolution for Land Surface Temperature Retrieval Images via Cross-scale Diffusion Model Using Reference Images
Super-resolution from internet-scale scene matching
Super-Resolution of Optical Coherence Tomography Images by scale Mixture Models
Super-Resolution-Based Snake Model: An Unsupervised Method for Large-scale Building Extraction Using Airborne LiDAR Data and Optical Image
Super-Resolved Fine-scale Sea Ice Motion Tracking
Superficial and deep structure in linear diffusion scale space: isophotes, critical points and separatrices
Superpixel Classification of High Spatial Resolution Remote Sensing Image Based On Multi-scale CNN and Scale Parameter Estimation
Superpixel Classification of High Spatial Resolution Remote Sensing Image Based On Multi-scale CNN and Scale Parameter Estimation
Superpixel-based multi-scale multi-instance learning for hyperspectral image classification
Superpixel-Based Regional-scale Grassland Community Classification Using Genetic Programming with Sentinel-1 SAR and Sentinel-2 Multispectral Images
Supervised and forest type-specific multi-scale segmentation for a one-level-representation of single trees
Supervised and Unsupervised Parallel Subspace Learning for Large-scale Image Recognition
Supervised Distributed Hashing for Large-scale Multimedia Retrieval
Supervised scale-Invariant Segmentation (and Detection)
Supervoxel-based Multi-scale Point Cloud Segmentation Using Fnea For Object-Oriented Rock Slope Classification Using Tls
Supervoxel-based saliency detection for large-scale colored 3D point clouds
Support Blob Machines: The Sparsification of Linear scale Space
Supporting Annotation of Anatomical Landmarks Using Automatic scale Selection
Suppressing Uncertainties for Large-scale Facial Expression Recognition
Sure-Based Wavelet Thresholding Integrating Inter-scale Dependencies
Surface Accelerations Reference: A Large-scale, Interactive Catalog of Passenger Vehicle Accelerations, The
Surface acquisition from single gray-scale images
Surface Shape and Curvature scales
Surface Temperatures at the Continental scale: Tracking Changes with Remote Sensing at Unprecedented Detail
Surface-Base Approach Using a Multi-scale EM-ICP Registration for Statistical Population Analysis
Survivor in the Era of Large-scale Pretraining: An Empirical Study of One-Stage Referring Expression Comprehension, A
SVD: A Large-scale Short Video Dataset for Near-Duplicate Video Retrieval
SVEA: A Small-scale Benchmark for Validating the Usability of Post-hoc Explainable AI Solutions in Image and Signal Recognition
SWOT Spatial scales in the Western Mediterranean Sea Derived from Pseudo-Observations and an Ad Hoc Filtering
Symbolic Construction of a 2-D scale-Space Image
Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at Plot scale
Synergistic Use of Citizen Science and Remote Sensing for Continental-scale Measurements of Forest Tree Phenology
Synergistic Use of Sentinel-1 and Sentinel-2 Time Series for Poplar Plantations Monitoring At Large scale
Syntactic Approach to scale-Space-Based Corner Description, A
SynthCity: A Large-scale Synthetic Point Cloud
Synthesis of large scale hand-shape databases for biometric applications
Synthesized Texture Quality Assessment via Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients
Synthetic Scene Character Generator and Multi-scale Voting Classifier for Japanese Scene Character Recognition
Synthetic-Aperture Radar Processing by a Multiple scale Neural System for Boundary and Surface Representation
SyntheWorld: A Large-scale Synthetic Dataset for Land Cover Mapping and Building Change Detection
Systematic Architectural Design of scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis
Systematic Architectural Design of scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis
Systematic Review of Multi-scale Spatio-Temporal Crime Prediction Methods, A
Systems View of scale Space, A
S^3FD: Single Shot scale-Invariant Face Detector
T-Net: Deep Stacked scale-Iteration Network for Image Dehazing
Taking a Look at Small-scale Pedestrians and Occluded Pedestrians
Talking With Hands 16.2M: A Large-scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis
TAO: A Large-scale Benchmark for Tracking Any Object
Target Recognition in SAR Images via Multi-scale Perception and Denoising Representation
Target Recognition Using Multi-scale Gabor Filters
Target retrieval in large-scale and high-resolution synthetic aperture radar imagery based on deep learning and multi-scale saliency
Target retrieval in large-scale and high-resolution synthetic aperture radar imagery based on deep learning and multi-scale saliency
Task-based parameter isolation for foreground segmentation without catastrophic forgetting using multi-scale region and edges fusion network
Taskology: Utilizing Task Relations at scale
Tattoo Image Search at scale: Joint Detection and Compact Representation Learning
Teaching Machines to Understand Baseball Games: Large-scale Baseball Video Database for Multiple Video Understanding Tasks
Technical Design Considerations of a Human-scale Talbot-Lau Interferometer for Dark-Field CT
Techniques for Calibration of the scale Factor and Image Center for High Accuracy 3-D Machine Vision Metrology
Techniques for Solving the Large-scale Classification Problem in Chinese Handwriting Recognition
Template Matching of Binary Targets in Gray-scale Images: A Nonparametric Approach
Template matching using the parametric template vector with translation, rotation and scale invariance
Template-Based 3D Road Modeling for Generating Large-scale Virtual Road Network Environment
TempNet: Online Semantic Segmentation on Large-scale Point Cloud Series
Temporal aggregation for large-scale query-by-image video retrieval
Temporal Attention Mechanism with Conditional Inference for Large-scale Multi-label Video Classification
Temporal Attentive Alignment for Large-scale Video Domain Adaptation
Temporal Events in All Dimensions and scales
Temporal Information Services in Large-scale Vehicular Networks Through Evolutionary Multi-Objective Optimization
Temporal Multi-scale Models for Flow and Acceleration
Temporal Multi-scale Models for Image Motion Estimation
Temporal scale Selection in Time-Causal Scale Space
Temporal scale Selection in Time-Causal Scale Space
Temporal scale Spaces
Temporal Shift GAN for Large scale Video Generation
Temporal stability of mangrove multispectral signatures at fine scales: Stability of mangrove multispectral signatures
Temporal Structure Tree in Digital Linear scale Space
Temporally Forward Nonlinear scale Space for High Frame Rate and Ultra-Low Delay A-KAZE Matching System
Temporally Forward Nonlinear scale Space with Octave Prediction for High Frame Rate and Ultra-Low Delay A-KAZE Matching System
Tencent-MVSE: A Large-scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation
Tensor scale: A local morphometric parameter with applications to computer vision and image processing
Tensor scale: An analytic approach with efficient computation and applications
TerraBrasilis: A Spatial Data Analytics Infrastructure for Large-scale Thematic Mapping
Terrain Analysis in Google Earth Engine: A Method Adapted for High-Performance Global-scale Analysis
Testing Small-scale Vitality Measurement Based on 5D Model Assessment with Multi-Source Data: A Resettlement Community Case in Suzhou
Testing the Temporal Ability of Landsat Imagery and Precision Agriculture Technology to Provide High Resolution Historical Estimates of Wheat Yield at the Farm scale
Texel Extraction on Inclined Textures by Adaptive Thresholding of Local scales
Text extraction from gray scale document images using edge information
Text extraction from gray scale historical document images using adaptive local connectivity map
Text Extraction from Grey scale Page Images by Simple Edge Detectors
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text
Texton clustering for local classification using scene-context scale
Textual Query of Personal Photos Facilitated by Large-scale Web Data
Texture and scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery
Texture Classification in Extreme scale Variations Using GANet
Texture Classification Using Rotation- and scale-Invariant Gabor Texture Features
Texture classification with combined rotation and scale invariant wavelet features
Texture description in local scale using texton histograms with quadrature filter universal dictionaries
Texture Description in Local scale Using Texton Histograms with Universal Dictionary
Texture Modelling by Optimal Gray scale Structuring Elements Using Morphological Pattern Spectrum
Texture Recognition Using a Non-parametric Multi-scale Statistical Model
Texture Representation Using Local Binary Encoding Across scales, Frequency Bands and Image Domains
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 independent-scale component-wise Riemannian-covariance Gaussian mixture model in KL measure based multi-scale nonlinear structure tensor space
Texture Segmentation Using Local Energy in Wavelet scale Space
Thai sign language translation using scale Invariant Feature Transform and Hidden Markov Models
Thanka Mural Inpainting Based on Multi-scale Adaptive Partial Convolution and Stroke-Like Mask
Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-scale Planning in Ilulissat, West Greenland
Theme issue 'Quality, scale and analysis aspects of urban city models'
Theoretical Evaluation of Anisotropic Reflectance Correction Approaches for Addressing Multi-scale Topographic Effects on the Radiation-Transfer Cascade in Mountain Environments
Theoretical Framework for Multi-scale Documentation of Decorated Surface, A
Thermal Face Recognition Based on Multi-scale Image Synthesis
ThickSeg: Efficient semantic segmentation of large-scale 3D point clouds using multi-layer projection
Thin Nets Extraction Using a Multi-scale Approach
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation
Thinning Algorithms for Gray-scale Pictures
Thinning of Gray-scale Images with Combined Sequential and Parallel Conditions for Pixel Removal
Three Dimensional Data-Driven Multi scale Atomic Representation of Optical Coherence Tomography
Three dimensional modeling of large-scale real environment by fusing range data, texture images, and airborne altimetry data
Three Guidelines of Online Learning for Large-scale Visual Recognition
Three-Dimensional (3D) Parametric Modeling and Organization for Web-Based Visualization of City-scale Pipe Network
three-dimensional cube and scale cube skeleton, The
three-point solution with scale estimation ability for two-view flat-refractive underwater photogrammetry, A
Threshold Decomposition of Gray-scale Morphology into Binary Morphology
Threshold Decomposition of Gray-scale Soft Morphology into Binary Soft Morphology
Tikhonov regularization versus scale space: A new result
Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion
Time scales in Video Surveillance
Time to Collision and Collision Risk Estimation from Local scale and Motion
Time-Recursive Velocity-Adapted Spatio-Temporal scale-Space Filters
Time-scale change detection applied to real-time abnormal stationarity monitoring
Time-scale Similarities for Robust Image De-noising
Time-to-Contact Map by Joint Estimation of Up-to-scale Inverse Depth and Global Motion using a Single Event Camera
TinyOps: ImageNet scale Deep Learning on Microcontrollers
TinyWT: A Large-scale Wind Turbine Dataset of Satellite Images for Tiny Object Detection
TMNet: Triple-modal interaction encoder and multi-scale fusion decoder network for V-D-T salient object detection
TMS-GAN: A Twofold Multi-scale Generative Adversarial Network for Single Image Dehazing
TMSO-Net: Texture adaptive multi-scale observation for light field image depth estimation
TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes
Token labeling-guided multi-scale medical image classification
Too Far to See? Not Really!: Pedestrian Detection With scale-Aware Localization Policy
Tool for Visualizing Large-scale Interactions between Turbulence and Particles in 3D Space through 2D Trajectory Visualization, A
ToothPic: Camera-Based Image Retrieval on Large scales
Topic Threading for Structuring a Large-scale News Video Archive
Topographic Characteristics of Drainage Divides at the Mountain-Range scale: A Review of DTM-Based Analytical Tools
Topographic Mapping of the Moon In the 21st Century: From Hectometer To Millimeter scales
Topological Numbers and Singularities in Scalar Images: scale-Space Evolution Properties
Topological Structure of scale-Space Images, The
Topology Conflict Detection Considering Incremental Updating of Multi-scale Road Networks
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Torsion scale Space Images: Robust Representations for Space Curves
Total Variation Spectral Framework for scale and Texture Analysis, A
Tour the world: Building a web-scale landmark recognition engine
Toward a Generalizable Image Representation for Large-scale Change Detection: Application to Generic Damage Analysis
Toward a scale-Space Aspect Graph: Solids of Revolution
Toward a Stage-wise Classification of Date Palm White scale Disease using Features Extraction and Machine Learning Techniques
Toward a Yearly Country-scale CORINE Land-Cover Map without Using Images: A Map Translation Approach
Toward Efficient City-scale Patrol Planning Using Decomposition and Grafting
Toward Large-scale Face Recognition Using Social Network Context
Toward Large-scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco
Toward More Robust and Real-Time Unmanned Aerial Vehicle Detection and Tracking via Cross-scale Feature Aggregation Based on the Center Keypoint
Toward scale-Invariance and Position-Sensitive Region Proposal Networks
Toward Unsupervised, Multi-object Discovery in Large-scale Image Collections
Towards a blind image quality evaluator using multi-scale second-order statistics
Towards a Large scale Concept Ontology for Broadcast Video
Towards a Large-scale 3D Modeling of the Built Environment: Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data
Towards a measure of diversity between grey-scale images
Towards a Morphological scale-Space Theory
Towards a Robust scale Invariant Feature Correspondence
Towards a Unified Quadrature Framework for Large-scale Kernel Machines
Towards accurate coronary artery calcium segmentation with multi-scale attention mechanism
Towards Adaptive Multi-scale Intermediate Domain via Progressive Training for Unsupervised Domain Adaptation
Towards an Improved Large-scale Gridded Population Dataset: A Pan-European Study on the Integration of 3D Settlement Data into Population Modelling
Towards Artistic Image Aesthetics Assessment: A Large-scale Dataset and a New Method
Towards automated large scale discovery of image families
Towards Category Based Large-scale Image Retrieval Using Transductive Support Vector Machines
Towards Efficient and Exact MAP-Inference for Large scale Discrete Computer Vision Problems via Combinatorial Optimization
Towards Efficient and scale-Robust Ultra-High-Definition Image Demoireing
Towards Efficient Use of Multi-scale Features in Transformer-Based Object Detectors
Towards Estimating Land Evaporation at Field scales Using GLEAM
Towards Facial Expression Robustness in Multi-scale Wild Environments
Towards Fast Image-Based Localization on a City-scale
Towards Global-scale Seagrass Mapping and Monitoring Using Sentinel-2 on Google Earth Engine: The Case Study of the Aegean and Ionian Seas
Towards good practice in large-scale learning for image classification
Towards Good Practices for Efficiently Annotating Large-scale Image Classification Datasets
Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification
Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-scale Imagery
Towards High-Quality Specular Highlight Removal by Leveraging Large-scale Synthetic Data
Towards high-resolution large-scale multi-view stereo
Towards Internet-scale multi-view stereo
Towards Large scale Spectral Problems via Diffusion Process
Towards Large-scale 3D Face Recognition
Towards Large-scale City Reconstruction from Satellites
Towards Large-scale Face Recognition Based on Videos
Towards large-scale geometry indexing by feature selection
Towards Large-scale Histopathological Image Analysis: Hashing-Based Image Retrieval
Towards Large-scale Object Instance Search: A Multi-Block N-Ary Trie
Towards Large-scale Small Object Detection: Survey and Benchmarks
Towards MOOCs for Lipreading: Using Synthetic Talking Heads to Train Humans in Lipreading at scale
Towards multi-scale feature detection repeatable over intensity and depth images
Towards multi-scale personalized modeling of brain vasculature based on magnetic resonance image processing
Towards on-the-fly Large scale Video Search
Towards Real-World Prohibited Item Detection: A Large-scale X-ray Benchmark
Towards scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics
Towards Semantic Segmentation of Urban-scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Towards the Assessment of Soil-Erosion-Related C-Factor on European scale Using Google Earth Engine and Sentinel-2 Images
Towards the large-scale assessment of vegetation biomass production stability
Towards the Sustainable Development of Cultural Landscapes Through Two Case Studies on Different scale
Towards Universal Image Embeddings: A Large-scale Dataset and Challenge for Generic Image Representations
Towards Zero-Shot scale-Aware Monocular Depth Estimation
Tracing of Curvilinear Structures in 3D Images with Single scale Diameter Measurement
Tracking Fine-scale Structural Changes in Coastal Dune Morphology Using Kite Aerial Photography and Uncertainty-Assessed Structure-from-Motion Photogrammetry
Tracking Large-scale Video Remix in Real-World Events
Tracking multiple articulated objects using physics engines: Improvement using multi scale decomposition and quadtrees
Tracking multiple sports players through occlusion, congestion and scale
Tracking of multi-state hand models using particle filtering and a hierarchy of multi-scale image features
Tracking through changes in scale
Tracking Virus Particles in Fluorescence Microscopy Images Using Multi-scale Detection and Multi-Frame Association
TrackingNet: A Large-scale Dataset and Benchmark for Object Tracking in the Wild
Tracks selection for robust, efficient and scalable large-scale structure from motion
Tractable large-scale deep reinforcement learning
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-scale Traffic Learning and Forecasting
Traffic Sign Detection Using a Multi-scale Recurrent Attention Network
TrafficGAN: Network-scale Deep Traffic Prediction With Generative Adversarial Nets
Training set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery
Trajectory Primal Sketch: A Multi-scale Scheme for Representing Motion Characteristics, The
Trajectory-Based Place-Recognition for Efficient Large scale Localization
Transductive Centroid Projection for Semi-supervised Large-scale Recognition
Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset
Transfer multi-source knowledge via scale-aware online domain adaptation in depth estimation for autonomous driving
Transformer scale Gate for Semantic Segmentation
Transformer-Based Multi-scale Feature Integration Network for Video Saliency Prediction
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution
Transients Detection in the Time-scale Domain
Transitions of a Multi-scale Image Hierarchy Tree
Translation and scale Invariants of Hahn Moments
Translation and scale invariants of Legendre moments
Translation and scale invariants of Tchebichef moments
Translation and scale invariants of three-dimensional Tchebichef moments
Translation, Rotation, and scale-Invariant Object Recognition
Translation, scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection
Translation, scale, and Deformation Weighted Polar Active Contours
Translation, scale, and Rotation Invariant Texture Descriptor for Texture-based Image Retrieval
Translation- and scale-Invariant Adaptive Wavelet Transform, A
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
TransVLAD: Multi-scale Attention-Based Global Descriptors for Visual Geo-Localization
Trapped in Texture Bias? A Large scale Comparison of Deep Instance Segmentation
Tree quantization for large-scale similarity search and classification
Tree Structure Sparsity Pattern Guided Convex Optimization for Compressive Sensing of Large-scale Images
Tree-Shaped Sampling Based Hybrid Multi-scale Feature Extraction for Texture Classification
Tri-Camera High-Speed Videogrammetry for Three-Dimensional Measurement of Laminated Rubber Bearings Based on the Large-scale Shaking Table
Triplet Geometric Representation: A Novel scale, Translation and Rotation-Invariant Feature Representation Based on Geometric Constraints for Recognition of 2D Object Features
Triplet-Metric-Guided Multi-scale Attention for Remote Sensing Image Scene Classification with a Convolutional Neural Network
True Orthoimage Production for Forested Areas from Large-scale Aerial Photographs
True-negative label selection for large-scale multi-label learning
Truncated attention-aware proposal networks with multi-scale dilation for temporal action detection
trunk-based SLAM backend for smartphones with online SLAM in large-scale forest inventories, A
TrustStream: A Secure and Scalable Architecture for Large-scale Internet Media Streaming
Tsanet: Temporal and scale Alignment for Unsupervised Video Object Segmentation
TSI: Temporal scale Invariant Network for Action Proposal Generation
TSMSAN: A Three-Stream Multi-scale Attentive Network for Video Saliency Detection
TSS &, TSB: Tensor scale descriptors within circular sectors for fast shape retrieval
Turbo-slice-and-patch: An Algorithm for Metropolitan scale VBR Video Streaming
TV flow based local scale estimate and its application to texture discrimination, A
TV Flow Based Local scale Measure for Texture Discrimination, A
TVR: A Large-scale Dataset for Video-subtitle Moment Retrieval
Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction
Two Sets of High-Conductivity Systems with Different scales Reveal the Seismogenic Mechanism of Earthquakes in the Songyuan Area, Northeastern China
Two Stage View Planning for Large-scale Site Modeling
Two streams Recurrent Neural Networks for Large-scale Continuous Gesture Recognition
Two-Level Adaptive Denoising Using Gaussian scale Mixtures in Overcomplete Oriented Pyramids
Two-scale fusion method of infrared and visible images via parallel saliency features
Two-scale image decomposition based image fusion using structure tensor
Two-scale tone management for photographic look
Two-Source Normalized Soil Thermal Inertia Model for Estimating Field-scale Soil Moisture from MODIS and ASTER Data, A
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
Two-Stage Fuzzy-Logic Architecture for Gray-scale Image-Processing
Two-Stage Outlier Filtering Framework for City-scale Localization Using 3D SfM Point Clouds, A
Two-Stage Strategy for Real-Time Dense 3D Reconstruction of Large-scale Scenes, A
Two-step Classification Based on scale Space
Two-Step Matching Method Based on Co-Occurrence scale Space Combined with Second-Order Gaussian Steerable Filter
Two-Time-scale Hybrid Traffic Models for Pedestrian Crowds
U-Net Based Multi-scale Deformable Convolution Network for Seismic Random Noise Suppression, A
U2-ONet: A Two-Level Nested Octave U-Structure Network with a Multi-scale Attention Mechanism for Moving Object Segmentation
UAS Identify and Monitor Unusual Small-scale Rhythmic Features in the Bay of Cadiz (Spain)
UAV Data Processing for Large scale Topographical Mapping
Uec-foodpix Complete: A Large-scale Food Image Segmentation Dataset
UformPose: A U-Shaped Hierarchical Multi-scale Keypoint-Aware Framework for Human Pose Estimation
UltraHi-PrNet: An Ultra-High Precision Deep Learning Network for Dense Multi-scale Target Detection in SAR Images
Uncertainty Aware Implicit Image Function for Arbitrary-scale Super-Resolution
Uncertainty Driven Multi-scale Optimization
Uncertainty Guided Multi-scale Attention Network for Raindrop Removal From a Single Image
Uncertainty Guided Multi-scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining
Uncertainty of CYGNSS-Derived Heat Flux Variations at Diurnal to Seasonal Time scales over the Tropical Oceans
Uncertainty of Plot-scale Forest Height Estimates from Complementary Spaceborne Observations in the Taiga-Tundra Ecotone, The
Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and scale-Space Properties, The
Uncertainty-Guided Depth Fusion from Multi-View Satellite Images to Improve the Accuracy in Large-scale DSM Generation
Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-scale Biophysical Properties of Sea Ice, An
Understanding and Predicting Image Memorability at a Large scale
Understanding evacuation and impact of a metro collision on ridership using large-scale mobile phone data
Understanding Human Hands in Contact at Internet scale
Understanding image structure from a new multi-scale representation of higher order derivative filters
Understanding Landslide Susceptibility in Northern Chilean Patagonia: A Basin-scale Study Using Machine Learning and Field Data
Understanding of ridge-valley lines on image-intensity surfaces in scale-space
Understanding Perceptual and Conceptual Fluency at a Large scale
Understanding Spatial-Temporal Interactions of Ecosystem Services and Their Drivers in a Multi-scale Perspective of Miluo Using Multi-Source Remote Sensing Data
Understanding the structure of diffusive scale-spaces
Understanding Traffic Density from Large-scale Web Camera Data
Underwater 3D Rigid Object Tracking and 6-DOF Estimation: A Case Study of Giant Steel Pipe scale Model Underwater Installation
UNFusion: A Unified Multi-scale Densely Connected Network for Infrared and Visible Image Fusion
Uni-Perceiver v2: A Generalist Model for Large-scale Vision and Vision-Language Tasks
Unification of Nonlinear Filtering in the Context of Binary Logical Calculus, Part II: Gray-scale Filters
Unified Approach of Multi-scale Deep and Hand-Crafted Features for Defocus Estimation, A
Unified B-Spline Framework for scale-Invariant Keypoint Detection, A
Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection, A
Unified multi-scale method for fast leaf classification and retrieval using geometric information
Unified Network for Arbitrary scale Super-Resolution of Video Satellite Images, A
Unified quality assessment of natural and screen content images via adaptive weighting on double scales
Unified Topological Framework for Retrieving 2D and 3D Multi-scale Spatial Information
Uniform Color scale Applications to Computer Graphics
Uniform Robust scale-Invariant Feature Matching for Optical Remote Sensing Images
Uniqueness of the Gaussian Kernel for scale-Space Filtering
Uniqueness Results for Image Reconstruction from Features on Curves in alpha-scale Spaces
Uniting Keypoints: Local Visual Information Fusion for Large-scale Image Search
UnityShip: A Large-scale Synthetic Dataset for Ship Recognition in Aerial Images
Universal Multi-scale Matching Pursuits Algorithm with Reduced Blocking Effect
Unlocking Large-scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision
Unmanned Lighter-Than-Air Platform for Large scale Land Monitoring, An
Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City scale Analysis
Unraveling Latent Transfer Patterns Between Metro and Bus From Large-scale Smart Card Data
Unsupervised auxiliary visual words discovery for large-scale image object retrieval
Unsupervised Change Detection from Remotely Sensed Images Based on Multi-scale Visual Saliency Coarse-to-Fine Fusion
Unsupervised convolutional neural networks for large-scale image clustering
Unsupervised deep hashing for large-scale visual search
Unsupervised deep homography with multi-scale global attention
Unsupervised Deep Video Hashing via Balanced Code for Large-scale Video Retrieval
Unsupervised Desmoking of Laparoscopy Images Using Multi-scale Desmokenet
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-scale Heterogeneous Environment Synthesis
Unsupervised Ensemble Ranking: Application to Large-scale Image Retrieval
Unsupervised image segmentation evaluation and refinement using a multi-scale approach
Unsupervised image segmentation using global spatial constraint and multi-scale representation on multiple segmentation proposals
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition
Unsupervised Learning of Depth Estimation and Camera Pose With Multi-scale GANs
Unsupervised Method to Detect Rock Glacier Activity by Using Sentinel-1 SAR Interferometric Coherence: A Regional-scale Study in the Eastern European Alps, An
Unsupervised Methodology for Large-scale Tree Seedling Mapping in Diverse Forestry Settings Using UAV-Based RGB Imagery
Unsupervised Multi-scale Generative Adversarial Network for Remote Sensing Image Pan-Sharpening, An
Unsupervised Multiview Distributed Hashing for Large-scale Retrieval
Unsupervised Port Detection Method in Polarimetric SAR Images Based on Three-Component Decomposition and Multi-scale Thresholding Segmentation, An
Unsupervised scale-Consistent Depth Learning from Video
Unsupervised scale-Driven Change Detection With Deep Spatial-Spectral Features for VHR Images
Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection
Unsupervised Simplification of Image Hierarchies via Evolution Analysis in scale-Sets Framework
Unsupervised Teacher-Student Model for Large-scale Video Retrieval
Unsupervised Transfer Learning via Multi-scale Convolutional Sparse Coding for Biomedical Applications
Unsupervised Video Shot Detection Using Clustering Ensemble with a Color Global scale-Invariant Feature Transform Descriptor
Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global scale by the Granger Causality Method
Upscaling Evapotranspiration from a Single-Site to Satellite Pixel scale
Upscaling Solar-Induced Chlorophyll Fluorescence from an Instantaneous to Daily scale Gives an Improved Estimation of the Gross Primary Productivity
Upscaling UAS Paradigm to UltraLight Aircrafts: A Low-Cost Multi-Sensors System for Large scale Aerial Photogrammetry
Urban Seismic Observatory of Catania (Italy): A Real-Time Seismic Monitoring at Urban scale, The
Urban Surface Temperature Time Series Estimation at the Local scale by Spatial-Spectral Unmixing of Satellite Observations
Urban vehicle platoon using monocular vision: scale factor estimation
Urbanization Intensifies the Mismatch between the Supply and Demand of Regional Ecosystem Services: A Large-scale Case of the Yangtze River Economic Belt in China
Urvos: Unified Referring Video Object Segmentation Network with a Large-scale Benchmark
US EPA EnviroAtlas Meter-scale Urban Land Cover (MULC): 1-m Pixel Land Cover Class Definitions and Guidance
Use of 3D Laser Scanning and 3D Modelling in the Realisation of an Artistic Vision; The Use of 3D Data in the Production of Large scale Public Art in Tudor Square, Sheffield., The
Use of C-Band and X-Band SAR with Machine Learning for Detecting Small-scale Mining, The
Use of Geostatistics for Multi-scale Spatial Modeling of Xylella fastidiosa subsp. pauca (Xfp) Infection with Unmanned Aerial Vehicle Image
Use of High-Resolution Satellite Imagery to Determine the Status of a Large-scale Outbreak of Southern Pine Beetle, The
Use of Landsat and SRTM Data to Detect Broad-scale Biodiversity Patterns in Northwestern Amazonia
Use of LUCAS LC Point Database for Validating Country-scale Land Cover Maps
use of single-date MODIS imagery for estimating large-scale urban impervious surface fraction with spectral mixture analysis and machine learning techniques, The
use of temporal, semantic and visual partitioning model for efficient near-duplicate keyframe detection in large scale news corpus, The
User Friendly Open GIS Tool for Large scale Data Assimilation: A Case Study of Hydrological Modelling
User-Driven Sampling Model for Large-scale Geographical Point Data Visualization via Convolutional Neural Networks, A
Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe
Using agent-based modelling to simulate social-ecological systems across scales
Using GRACE Satellite Gravimetry for Assessing Large-scale Hydrologic Extremes
Using Hidden scale for Salient Object Detection
Using Hyperspectral Imagery to Characterize Rangeland Vegetation Composition at Process-Relevant scales
Using irregular pyramid for text segmentation and binarization of gray scale images
Using Large-scale Truck Trajectory Data to Explore the Location of Sustainable Urban Logistics Centres: The Case of Wuhan
Using Multiple scale Space-Time Patterns to Determine the Number of Replicates and Burn-In Periods in Spatially Explicit Agent-Based Modeling of Vector-Borne Disease Transmission
Using Normalized Interest Point Trajectories Over scale for Image Search
Using occlusion models to evaluate scale-space processors
Using Remote Sensing to Estimate scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem
Using scale space filtering to make thinning algorithms robust against noise in sketch images
Using scale-Space Anisotropic Smoothing for Text Line Extraction in Historical Documents
Using Segmentation With Multi-scale Selective Kernel for Visual Object Tracking
Using Sentinel-2 to Track Field-Level Tillage Practices at Regional scales in Smallholder Systems
Using texture to tackle the problem of scale in land-cover classification
Using the Bayesian Network to Map Large-scale Cropping Intensity by Fusing Multi-Source Data
Using top-down and bottom-up analysis for a multi-scale skeleton hierarchy
Utilizing Image scales Towards Totally Training Free Blind Image Quality Assessment
V-shaped neural network structure based on multi-scale features for image denoising
V2V4Real: A Real-World Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
V2X-Seq: A Large-scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
Validation of a Parametric Approach for 3D Fortification Modelling: Application to scale Models
Validation of Expanded Trend-to-Trend Cross-Calibration Technique and Its Application to Global scale
Validation of Reef-scale Thermal Stress Satellite Products for Coral Bleaching Monitoring
Validation of Regional-scale Remote Sensing Products in China: From Site to Network
Validation of Watershed Regions by scale-Space Statistics
Variability in Soft Classification Prediction and Its Implications for Sub-pixel scale Change Detection and Super Resolution Mapping
Variable Bandwidth Mean Shift and Data-Driven scale Selection, The
Variable Precision Fuzzy Hit-or-Miss Transformation Models to Object Identification in Grey-scale Images
Variable-scale Coherent Integration Method for Moving Target Detection in Wideband Radar, A
Variable-scale Smoothing and Edge Detection Guided by Stereoscopy
Variable-scale Visualization of High-Density Polygonal Buildings on a Tile Map
Variational Contrast Enhancement of Gray-scale and RGB Images
Variational EM Acceleration for Efficient Clustering at Very Large scales, A
Variational Image Binarization and its Multi-scale Realizations
Variational Image Registration Approach Based on Curvature scale Space, A
Variational-scale Segmentation for Multispectral Remote-Sensing Images Using Spectral Indices
Variographic analysis of tropical forest cover from multi-scale remotely sensed imagery
Varying scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province
Vascular bifurcation detection in scale-space
VaTeX: A Large-scale, High-Quality Multilingual Dataset for Video-and-Language Research
VCDB: A Large-scale Database for Partial Copy Detection in Videos
vector quantization based k-NN approach for large-scale image classification, A
Vectorial scale-based fuzzy-connected image segmentation
Vegetation Fuel Mapping at Regional scale Using Sentinel-1, Sentinel-2, and DEM Derivatives: The Case of the Region of East Macedonia and Thrace, Greece
Vegetation Index Differencing for Broad-scale Assessment of Productivity Under Prolonged Drought and Sequential High Rainfall Conditions
Vehicle classification for large-scale traffic surveillance videos using Convolutional Neural Networks
Vehicle Detection in UAV Images via Background Suppression Pyramid Network and Multi-scale Task Adaptive Decoupled Head
Vehicle Energy Dataset (VED), A Large-scale Dataset for Vehicle Energy Consumption Research
Vehicle Localization in a Completed City-scale 3D Scene Using Aerial Images and an On-Board Stereo Camera
Verification and Analysis of Overseas 1:50000 scale Surveying and Mapping 4D Products Quality Generated by the ZY3 and TH1 Satellite Imagery
Verification of a Methodology for the Automatic scale-Dependent Adaptation of Object Models
Very High Resolution Land Cover Mapping of Urban Areas At Global scale With Convolutional Neural Networks
Very large scale nearest neighbor search: Ideas, strategies and challenges
Very Large-scale Global SfM by Distributed Motion Averaging
Very large-scale integration architecture for video stabilisation and implementation on a field programmable gate array-based autonomous vehicle
Very-large-scale integration design of a low-power and cost-effective context-based adaptive variable length coding decoder for H.264/AVC portable applications
VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large scale
Vessel scale-selection using MRF optimization
VGG-Embedded Adaptive Layer-Normalized Crowd Counting Net with scale-Shuffling Modules
Vid2Seq: Large-scale Pretraining of a Visual Language Model for Dense Video Captioning
Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-scale Benchmark
Video Delivery Performance of a Large-scale VoD System and the Implications on Content Delivery
Video denoising algorithm via multi-scale joint luma-chroma bilateral filter
Video Denoising Based on a Spatiotemporal Gaussian scale Mixture Model
Video eCommerce: Toward Large scale Online Video Advertising
Video frame interpolation via down-up scale generative adversarial networks
Video Instance Segmentation via Multi-scale Spatio-Temporal Split Attention Transformer
Video Salient Object Detection via Multiple Time-scale Analysis
Video Scene Understanding Using Multi-scale Analysis
Video Summarization for Large-scale Analytics Workshop
Video Summarization for Large-scale Analytics Workshop
Video Tomographs and a Base Detector Selection Strategy for Improving Large-scale Video Concept Detection
Video-based Crowd Counting Using a Multi-scale Optical Flow Pyramid Network
Video-based Precipitation Intensity Recognition Using Dual-dimension and Dual-scale Spatiotemporal Convolutional Neural Network
VideoLT: Large-scale Long-tailed Video Recognition
VideoSet: A large-scale compressed video quality dataset based on JND measurement
View and scale invariant action recognition using multiview shape-flow models
View Synthesis with Multi-scale Cost Aggregation and Confidence Prior
Viewpoint and scale Consistency Reinforcement for UAV Vehicle Re-Identification
Violin: A Large-scale Dataset for Video-and-Language Inference
Virtual Fully-Connected Layer: Training a Large-scale Face Recognition Dataset with Limited Computational Resources
Virtual hexagonal and multi-scale operator for fuzzy rank order texture classification using one-dimensional generalised Fourier analysis
Virtual Point Removal for Large-scale 3D Point Clouds with Multiple Glass Planes
Virtual Representations and Modeling of Large-scale environments
Virtual resolution enhancement of scale invariant textured images using stochastic processes
Virtual Restoration Framework for the Moon Gate Based on a Modified scale of Evidence, A
Virtual review of large scale image stack on 3D display
Virtual Super Resolution of scale Invariant Textured Images Using Multifractal Stochastic Processes
Virtually Continuous Representation of the Deep Structure of scale-Space, A
Virus image classification using multi-scale completed local binary pattern features extracted from filtered images by multi-scale principal component analysis
Virus image classification using multi-scale completed local binary pattern features extracted from filtered images by multi-scale principal component analysis
Vis2Rec: A Large-scale Visual Dataset for Visit Recommendation
Visible and Infrared Image Fusion Framework Based on Dual-Path Encoder-Decoder and Multi-scale Discrete Wavelet Transform, A
Visible-Thermal UAV Tracking: A Large-scale Benchmark and New Baseline
vision-based approach for surface roughness assessment at micro and nano scales, A
Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-scale Benchmark Dataset
Vision-Based Vehicle Localization Using a Visual Street Map with Embedded SURF scale
Visitor Flows at a Large-scale Cultural Event: GPS Tracking at Dutch Design Week
VISOR: Towards On-the-Fly Large-scale Object Category Retrieval
Visual adaptation of scale and imprecision in a noisy world
Visual Analysis and Geo-localization of Large-scale Imagery
Visual and Semantic Knowledge Transfer for Large scale Semi-Supervised Object Detection
Visual Attention Guided Multi-scale Boundary Detection in Natural Images for Contour Grouping
Visual Indexing of Large scale Train-Borne Video for Rail Condition Perceiving
Visual Inspection System Based on Trinarized Broad-Edge and Gray-scale Hybrid Matching, A
Visual landmark recognition from Internet photo collections: A large-scale evaluation
Visual Narratives: Large-scale Hierarchical Classification of Art-historical Images
Visual object tracking with multi-scale superpixels and color-feature guided kernelized correlation filters
Visual Oriented Encoder: Integrating Multimodal and Multi-scale Contexts for Video Captioning
Visual Phraselet: Refining Spatial Constraints for Large scale Image Search
Visual Saliency Based on scale-Space Analysis in the Frequency Domain
Visual Saliency Oriented Vehicle scale Estimation
Visual Speech Recognition Method Using Translation, scale and Rotation Invariant Features
Visual SuperTree: similarity-based multi-scale visualization, The
Visualising Detailed CityGML and ADE at the Building scale
Visualization of Resource Allocation in Large-scale Mobile Ad Hoc Networks
Visualizing Large-scale Building Information Modeling Models within Indoor and Outdoor Environments Using a Semantics-Based Method
VisualRank: Applying PageRank to Large-scale Image Search
VisualTextualRank: An Extension of VisualRank to Large-scale Video Shot Extraction Exploiting Tag Co-occurrence
VLSI Architecture for Computing scale Space, A
Voxel-Based Multi-scale Transformer Network for Event Stream Processing
Voxel-Wise Gray scale Invariants for Simultaneous Segmentation and Classification
VoxelScape: Large scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments
VR Menus: Investigation of Distance, Size, Auto-scale, and Ray Casting vs. Pointer-Attached-to-Menu
VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild
VTD-FCENet: A Real-Time HD Video Text Detection with scale-Aware Fourier Contour Embedding
Water Body Distributions Across scales: A Remote Sensing Based Comparison of Three Arctic Tundra Wetlands
Water Body Extraction in Remote Sensing Imagery Using Domain Adaptation-Based Network Embedding Selective Self-Attention and Multi-scale Feature Fusion
Wavefield Reconstruction Inversion Based on the Multi-scale Cumulative Frequency Strategy for Ground-Penetrating Radar Data: Application to Urban Underground Pipeline
Wavelet belief propagation for large scale inference problems
Wavelet Denoising of Multicomponent Images Using Gaussian scale Mixture Models and a Noise-Free Image as Priors
Wavelet denoising of multicomponent images, using a Gaussian scale Mixture model
Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination
Wavelet iterative regularization for image restoration with varying scale parameter
Wavelet Transform and scale-Space Filtering of Fractal Images
Wavelet-Based Compressed Sensing Using a Gaussian scale Mixture Model
Wavelet-based corner detection technique using optimal scale
Wavelet-Based Correlation Identification of scales and Locations between Landscape Patterns and Topography in Urban-Rural Profiles: Case of the Jilin City, China
wavelet-based edge detection method by scale multiplication, A
Wavelet-based image denoising using three scales of dependency
Wavelet-Based Multi-scale Variation Image Noise Removal Model and the Image Geometry-Adapted Method for Multi-Scale Parameters Determining
Wavelet-Based Multi-scale Variation Image Noise Removal Model and the Image Geometry-Adapted Method for Multi-Scale Parameters Determining
Wavelet-based salient points with scale information for classification
Wavelet-based simulations of electromagnetic scattering from large-scale two-dimensional perfectly conducting random rough surfaces
Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution
Weak attributes for large-scale image retrieval
Weakly Supervised Large scale Object Localization with Multiple Instance Learning and Bag Splitting
Weakly Supervised Learning of Object Segmentations from Web-scale Video
Weakly supervised multiscale-inception learning for web-scale face recognition
Weakly Supervised Phrase Localization with Multi-scale Anchored Transformer Network
Weakly Supervised scale-Invariant Learning of Models for Visual Recognition
Weakly-supervised large-scale image modeling for sport scenes and its applications
Wearing Detection by Multi-scale Information Fusion Network for Live-Line Working Scenarios
Web scale photo hash clustering on a single machine
Web-based Representation and Management of Infectious Disease Data on A City scale, Case Study of St. Petersburg, Russia
Web-scale Image Clustering Revisited
Web-scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors
Web-scale Media Recommendation Systems
Web-scale Multimedia Analysis: Does Content Matter?
Web-scale Multimedia Information Networks
Web-scale Multimedia Processing and Applications
Web-scale Near-Duplicate Search: Techniques and Applications
Web-scale Normalization of Geospatial Metadata Based on Semantics-Aware Data Sources
Web-scale training for face identification
Web-scale Vision and Social Media
WebFace260M: A Benchmark for Million-scale Deep Face Recognition
WebFace260M: A Benchmark Unveiling the Power of Million-scale Deep Face Recognition
Webly Supervised Semantic Embeddings for Large scale Zero-shot Learning
WebUAV-3M: A Benchmark for Unveiling the Power of Million-scale Deep UAV Tracking
WeedMap: A Large-scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming
Weighted Feature Histogram of Multi-scale Local Patch Using Multi-Bit Binary Descriptor for Face Recognition
Weighted Patch-Based Reconstruction: Linking (Multi-view) Stereo to scale Space
Weighted Sampling for Large-scale Boosting
Wetland Classification, Attribute Accuracy, and scale
Wetland mapping using object-oriented classification, a multi-scale approach for the Canadian Wetland Inventory (CWI) initiative
What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID
What's on TV: A large scale quantitative characterisation of modern broadcast video content
When is a Discrete Diffusion a scale-Space?
When Traditional Selection Fails: How to Improve Settlement Selection for Small-scale Maps Using Machine Learning
Where Urban Youth Work and Live: A Data-Driven Approach to Identify Urban Functional Areas at a Fine scale
Which CNNs and Training Settings to Choose for Action Unit Detection? A Study Based on a Large-scale Dataset
WHUVID: A Large-scale Stereo-IMU Dataset for Visual-Inertial Odometry and Autonomous Driving in Chinese Urban Scenarios
Wide baseline stereo matching based on scale invariant feature transformation with hybrid geometric constraints
Wide Weighted Attention Multi-scale Network for Accurate MR Image Super-Resolution
Wide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing
Wide-scale Video Conferencing over Radio Network Infrastructure
Will Large-scale Generative Models Corrupt Future Datasets?
Window-Based Filtering Aerosol Retrieval Algorithm of Fine-scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region
Window-based Gray-scale Inverse Hough Transform Algorithm and Its Applications on Gray-scale Line Filtering, A
Window-based Gray-scale Inverse Hough Transform Algorithm and Its Applications on Gray-scale Line Filtering, A
Word Spotting in Gray scale Handwritten Pashto Documents
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
Workshop on Quality, scale & Analysis Aspects of City Models
Workshop on Web-scale Vision and Social Media
World-scale mining of objects and events from community photo collections
XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-scale Attention Fusion
XBound-Former: Toward Cross-scale Boundary Modeling in Transformers
XY-Separable scale-Space Filtering by Polynomial Representations and Its Applications
YOLO-SD: Small Ship Detection in SAR Images by Multi-scale Convolution and Feature Transformer Module
YouTube-8M Large-scale Video Understanding Workshop
YouTube-8M: A Large-scale Video Classification Benchmark
YouTubeEvent: On large-scale video event classification
YuvConv: Multi-scale Non-Uniform Convolution Structure Based on YUV Color Model
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
Zero and infinity images in multi-scale image fusion
Zero Shot Learning via Multi-scale Manifold Regularization
Zero-shot Building Attribute Extraction from Large-scale Vision and Language Models
Zero-shot Object Classification with Large-scale Knowledge Graph
Zero-shot semantic segmentation via spatial and multi-scale aware visual class embedding
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection
ZoomInNet: A Novel Small Object Detector in Drone Images with Cross-scale Knowledge Distillation
7104 for scale

_scaleable_
CARAT-ARC: A scaleable and Reliable Digital Media Archiving System
Optimization of MPEG-2 SNR scaleable Codecs

_scaled_
3d Representation of the 19th Century Balkan Architecture Using scaled Museum-maquette And Photogrammetry Methods
Activity guided multi-scales collaboration based on scaled-CNN for saliency prediction
Adaptive scaled Mean-Square Error Filtering by Neural Networks
AFPSNet: Multi-Class Part Parsing based on scaled Attention and Feature Fusion
Algorithm for Recognition and Localization of Roatated and scaled Objects, An
Algorithm for the Localization of Rotated and scaled Objects, An
Alignment of Overlapping Locally scaled Patches for Multidimensional Scaling and Dimensionality Reduction
Atlanta scaled layouts from non-central panoramas
Auto-scaled Incremental Tensor Subspace Learning for Region Based Rate Control Application
Backlight scaled contrast enhancement for liquid crystal displays using image key-based compression
bundle adjustment approach with inner constraints for the scaled orthographic projection, A
Classification and Segmentation of Rotated and scaled Textured Images Using Texture Tuned Masks
Classification of Rotated and scaled Textured Images Using Gaussian Markov Random Field Models
Classification of Rotated and scaled Textured Images Using Invariants Based on Spectral Moments
Classification of rotated and scaled textures using HMHV spectrum estimation and the Fourier-Mellin transform
comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs, A
Conversion and Trade-offs Between scaled Gaussian Parallel and Hierarchical Analysis Multirate Filter Banks
Covariance estimation for minimal geometry solvers via scaled unscented transformation
Covariance scaled Sampling for Monocular 3D Body Tracking
Data Clustering Using Variational Learning of Finite scaled Dirichlet Mixture Models with Component Splitting
Determination of Head Pose and Facial Expression from a Single Perspective View by Successive scaled Orthographic Approximations
Dual Objective Feature Selection and scaled Euclidean Classification for face recognition
Efficient Design of scaled Rectangular (Saramaki) Window
Enhancement of Backlight-scaled Images
Error Propagation in 3D-from-2D Recognition: scaled-Orthographic and Perspective Projections
Exact, scaled Image Rotation Using the Finite Radon Transform
Exact, scaled image rotations in finite Radon transform space
Experimental Analysis on the Mechanisms of Singular Point Generation in InSAR by Employing scaled Optical Interferometry
Finding the Motion, Position and Orientation of a Planar Patch in 3D Space from scaled-Orthographic Projection
Focusing of General Bistatic SAR Configuration Data With 2-D Inverse scaled FFT
Fourier based registration of differentially scaled images
Generative image deblurring based on multi-scaled residual adversary network driven by composed prior-posterior loss
Ground Moving Target Refocusing in SAR Imagery Using scaled GHAF
High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery
How Spatial Resolution Affects Forest Phenology and Tree-Species Classification Based on Satellite and Up-scaled Time-Series Images
Human Velocity Control of Admittance-Type Robotic Devices With scaled Visual Feedback of Device Motion
Hyperspectral Unmixing Network Accounting for Spectral Variability Based on a Modified scaled and a Perturbed Linear Mixing Model
Identification of Reflected, scaled, Translated, and Rotated Objects From Their Radon Projections
Image Denoising by scaled Bilateral Filtering
Image Enhancement for Backlight-scaled TFT-LCD Displays
Improving metric-based few-shot learning with dynamically scaled softmax loss
Iterative Double Laplacian-scaled Low-Rank Optimization for Under-Sampled and Noisy Signal Recovery
Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and scaled-down Simulation towards in situ Sensor Network Design
Large-scaled detection of COVID-19 from X-ray using transfer learning
Maximizing Rigidity: Optimal Matching under scaled-Orthography
Motion Estimation from scaled Orthographic Projections without Correspondences
Multi-frame packet reservation multiple access using oscillation-scaled histogram-based Markov modelling of video codecs
Multi-scaled Hierarchical Structure Model for Multispectral Image Detection, A
Multiresolution Probability Analysis of Gray-scaled Images
Neural network-based image restoration using scaled residual with space-variant regularization
New Invariant Moments for Non-Uniformly scaled Images
Non-integer scaling of raster images with image quality enhancement using an anamorphically scaled intermediate bitmap
Optimal Quantization using scaled Codebook
Parallel Algorithms via scaled Paraboloid Structuring Functions for Spatially-Variant and Label-Set Dilations and Erosions
Particle Filtering with Region-Based Matching for Tracking of Partially Occluded and scaled Targets
Planar object detection under scaled orthographic projection
Point completion by a Stack-Style Folding Network with multi-scaled graphical features
Predicting Bus Passenger Flow and Prioritizing Influential Factors Using Multi-Source Data: scaled Stacking Gradient Boosting Decision Trees
Rapid, man-made object morphological segmentation for aerial images using a multi-scaled, geometric image analysis
Retrieval of translated, rotated and scaled color textures
robust adaptive scaled function weighted order (SFWO) filter for nonlinear image restoration, A
Robust Auto-Focusing Algorithm for Medical Ultrasound: Consistent Phase References from scaled Cross-Correlation Functions, A
Robust Character Recognition of Gray-scaled Images with Graphical Designs and Noise
Robust Geometric Model Estimation Based on scaled Welsch q-Norm
Robust Recognition of scaled Eigenimages Through a Hierarchical Approach
Robust Recogniton of scaled Shapes Using Pairwise Geometric Histograms
scaled 360 layouts: Revisiting non-central panoramas
scaled and Adaptive Fista Algorithm for Signal-dependent Sparse Image Super-resolution Problems, A
scaled and rotated texture classification using a class of basis functions
scaled CCR Histogram for Scale-Invariant Texture Classification
scaled Euclidean 3D Reconstruction Based on Externally Uncalibrated Cameras
scaled fixed-point frequency selective extrapolation for fast image error concealment
scaled Heavy-Ball Acceleration of the Richardson-Lucy Algorithm for 3D Microscopy Image Restoration
scaled layout recovery with wide field of view RGB-D
scaled Motion Dynamics for Markerless Motion Capture
scaled multigrid optical flow algorithm based on the least RMS error between real and estimated second images, A
scaled Reassigned Spectrogram with Perfect Localization for Estimation of Gaussian Functions, The
scaled rotation regularization
scaled-Distance-Transforms and Monotonicity of Autocorrelations
scaled-YOLOv4: Scaling Cross Stage Partial Network
Self scaled Regularized Robust Regression
Shape from Motion Algorithms: A Comparative Analysis of scaled Orthography and Perspective
Small-scaled Intraoperative 3D Visualization Navigation System for Femoral Head Repair Surgery, A
Sparse Scene Recovery for High-Resolution Automobile FMCW SAR via scaled Compressed Sensing
Spatially Variant Convolution With scaled B-Splines
Structure Recovery from scaled Orthographic and Perspective Views
Structure Recovery with Multiple Cameras from scaled Orthographic and Perspective Views
Tensor-Based Deepfake Detection in scaled and Compressed Images
Tensorized scaled Simplex Representation for Multi-View Clustering
Time-scaled interactive object-driven multi-party VR
True scaled 6 DoF egocentric localisation with monocular wearable systems
Two-dimensional Fourier transform of scaled Dirac delta curves
two-scaled fully convolutional learning network for road detection, A
Two-Streamed Network for Estimating Fine-scaled Depth Maps from Single RGB Images, A
Unifying Algebraic Solvers for scaled Euclidean Registration from Point, Line and Plane Constraints
95 for scaled

_scaledet_
scaledet: A Scalable Multi-Dataset Object Detector

_scalefl_
scalefl: Resource-Adaptive Federated Learning with Heterogeneous Clients

_scalekd_
scalekd: Distilling Scale-Aware Knowledge in Small Object Detector

_scalenet_
Large-Scale Invariant Matching Method Based on DeepSpace-scalenet for Small Celestial Body Exploration, A
scalenet: A Shallow Architecture for Scale Estimation
scalenet: Guiding Object Proposal Generation in Supermarkets and Beyond
scalenet: Searching for the Model to Scale

_scaler_
Automatic scale estimation of structure from motion based 3D models using laser scalers in underwater scenarios
Cubic Convolution scaler Optimized for Local Property of Image Data
Joint optimization of the motion estimation module and the up/down scaler in transcoders
Locator-Checker-scaler Object Tracking Using Spatially Ordered and Weighted Patch Descriptor
Low-Complexity scaler Based on Convolutional Neural Networks for Adaptive Video Streaming

_scalespace_
scalespace Approach to Shape Similarity, A

_scaletransmission_
UAV Remote Sensing Image Dehazing Based on Saliency Guided Two-scaletransmission Correction

Index for "s"

Last update: 2-May-24 21:06:23
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