Index for task

_	task	_
12-in-1: Multi-	task	Vision and Language Representation Learning
3D descriptor to detect	task	-oriented grasping points in clothing, A
3D Instance Segmentation via Multi-	task	Metric Learning
3D Multi-Attention Guided Multi-	task	Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification
3D Prior is All You Need: Cross-	task	Few-shot 2D Gaze Estimation
3D referencing for remote	task	assistance in augmented reality
4-DoF Tracking for Robot Fine Manipulation	task	s
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition	task	s
AAGAN: Accuracy-Aware Generative Adversarial Network for Supervised	task	s
ABAW: Learning from Synthetic Data & Multi-	task	Learning Challenges
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-	task	Learning Challenges
ABSNet: Aesthetics-Based Saliency Network Using Multi-	task	Convolutional Network
Abstraction for Correspondence Search Using	task	-Based Controls, An
Acceleration of multi-	task	cascaded convolutional networks
AccelIR:	task	-aware Image Compression for Accelerating Neural Restoration
Accuracy of MLP Based Data Visualization Used in Oil Prices Forecasting	task
accurate and efficient multi-	task	brain tumour detection with segmented MRI images using auto-metric adolescent neural network, An
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-	task	Random Forests
Achievement-based Training Progress Balancing for Multi-	task	Learning
Acquiring Manipulation	task	s from Observation
Acronym Model Based Vision in the Intelligent	task	Automation Project
Action utility prediction and role	task	allocation in robot soccer system
Action-Affect-Gender Classification Using Multi-	task	Representation Learning
Actionet: An Interactive End-To-End Platform For	task	-Based Data Collection And Augmentation In 3D Environment
Active Learning with	task	Consistency and Diversity in Multi-Task Networks
Active Learning with	task	Consistency and Diversity in Multi-Task Networks
Active Sensor Planning for Multiview Vision	task	s
Active	task	Cognition Method for Home Service Robot Using Multi-Graph Attention Fusion Mechanism, An
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future	task	s
Active vision-based control schemes for autonomous navigation	task	s
Activity Recognition of Assembly	task	s Using Body-Worn Microphones and Accelerometers
ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-	task	Knowledge Transfer
AdaMT-Net: An Adaptive Weight Learning Based Multi-	task	Learning Model For Scene Understanding
AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-	task	Learning
AdaMV-MoE: Adaptive Multi-	task	Vision Mixture-of-Experts
Adapting JPEG XS gains and priorities to	task	s and contents
Adaptive Construction of the Virtual Debris Flow Disaster Environments Driven by Multilevel Visualization	task
Adaptive Feature Aggregation in Deep Multi-	task	Convolutional Neural Networks
Adaptive Multi-	task	Learning for Few-shot Object Detection
Adaptive multi-	task	learning for fine-grained categorization
Adaptive Sampling of Motion Trajectories for Discrete	task	-Based Analysis and Synthesis of Gesture
Adaptive	task	Sampling for Meta-learning
Adaptive	task	-Aware Refining Network for Few-Shot Fine-Grained Image Classification
Adaptive	task	-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective
Adaptive	task	-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective
Adaptive Trajectory Planning Method of Autonomous Vehicles Integrating Multiple	task	s, An
Adaptive Weight Generator for Multi-	task	Image Recognition by Task Grouping Prompt
Adaptive Weight Generator for Multi-	task	Image Recognition by Task Grouping Prompt
Adding New	task	s to a Single Network with Weight Transformations Using Binary Masks
Addressing Glaucoma Structure-Function Relationship: A Multi-	task	Learning Framework With Multi-Modal and Unpaired Data
Adjoint Rigid Transform Network:	task	-conditioned Alignment of 3D Shapes
Advances on Multimodal Remote Sensing Foundation Models for Earth Observation Downstream	task	s: A Survey
Advancing Video Anomaly Detection: A Bi-Directional Hybrid Framework for Enhanced Single- and Multi-	task	Approaches
Adversarial Attacks of Vision	task	s in the Past 10 Years: A Survey
Adversarial Deep Multi-	task	Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction
Adversarial Encoder-Multi-	task	-Decoder for Multi-Stage Processes
Adversarial Learning Guided	task	Relatedness Refinement for Multi-Task Deep Learning
Adversarial Learning Guided	task	Relatedness Refinement for Multi-Task Deep Learning
Adversarial Structure Matching for Structured Prediction	task	s
ADVICE: Decision Support for Complex Geospatial Decision Making	task	s
Aerial path planning for 3D urban scene reconstruction with dual-	task	reconstructability learning and adaptive viewpoints selection
Affect Estimation in 3D Space Using Multi-	task	Active Learning for Regression
Affective Behavior Analysis Using Action Unit Relation Graph and Multi-	task	Cross Attention
Affective Expression Analysis in-the-wild using Multi-	task	Temporal Statistical Deep Learning Model
affective facial recognition	task	: The influence of cognitive styles and exposure times, The
Affine Coordinate Based Algorithm for Reprojecting the Human Face for Identification	task	s, An
AGIL: Learning Attention from Human for Visuomotor	task	s
AI-Generated Image Quality Assessment Based on	task	-Specific Prompt and Multi-Granularity Similarity
Aircraft-LBDet: Multi-	task	Aircraft Detection with Landmark and Bounding Box Detection
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday	task	s
Algorithm-Dependent Generalization Bounds for Multi-	task	Learning
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language	task	s
Aligning and Updating Cadaster Maps with Aerial Images by Multi-	task	, Multi-resolution Deep Learning
Aligning computational and human perceptions of image complexity: A dual-	task	framework for prediction and localization
All in Tokens: Unifying Output Space of Visual	task	s via Soft Token
All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-	task	Ensemble Framework
AMFMER: A multimodal full transformer for unifying aesthetic assessment	task	s
AMMF: Attention-Based Multi-Phase Multi-	task	Fusion for Small Contour Object 3D Detection
Amodal Segmentation through Out-of-	task	and Out-of-Distribution Generalization with a Bayesian Model
Amyloid-beta Deposition Prediction With Large Language Model Driven and	task	-Oriented Learning of Brain Functional Networks
Analogical Augmentation and Significance Analysis for Online	task	-Free Continual Learning
Analysing inter-observer saliency variations in	task	-free viewing of natural images
Analysing the performance of Viola-Jones and multi-	task	convolution neural networks face detection algorithms using real-time video sequences
Analysis and Performance of Two Middle-Level Vision	task	s on a Fine-Grained SIMD Tree Machine, The
Analysis of lung scan imaging using deep multi-	task	learning structure for Covid-19 disease
Analysis of Observer Performance in Known-Location	task	s for Tomographic Image Reconstruction
Analysis of observer performance in unknown-location	task	s for tomographic image reconstruction
Analysis of Skill Improvement Process Based on Movement of Gaze and Hand in Assembly	task
Analysis of	task	and Data Characteristic and the Collaborative Processing Method in Real-Time Visualization Pipeline of Urban 3DGIS, The
Analysis of	task	s and Features for Neuro-degenerative Disease Assessment by Handwriting, An
Analysis of Thermal Infrared and Visual Images for Industrial Inspection	task	s
Analysis on scalability and energy efficiency of HEVC decoding using	task	-based programming model
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP	task	s
ANAS: Asymptotic NAS for large-scale proxyless search and multi-	task	transfer learning
Anatomically Guided PET Image Reconstruction Using Conditional Weakly-Supervised Multi-	task	Learning Integrating Self-Attention
Anatomy-Aware Deep Unrolling for	task	-Oriented Acceleration of Multi-Contrast MRI
Anomaly Detection in Video via Self-Supervised and Multi-	task	Learning
Anomaly Detection via Learnable Pretext	task
Ant colony optimisation for coloured travelling salesman problem by multi-	task	learning
Ante-Hoc Generation of	task	-Agnostic Interpretation Maps
ANTHROPOS-V: Benchmarking the Novel	task	of Crowd Volume Estimation
Apathy Classification by Exploiting	task	Relatedness
Application of an Information Gain Model in a Motor Learning Laparoscopic Surgery	task
Application of Machine Learning for Disease Detection	task	s in Olive Trees Using Hyperspectral Data
Application of Panoramic Annular Lens for Motion Analysis	task	s: Surveillance and Smoke Detection
Application of	task	-based measures of image quality to optimization and evaluation of three-dimensional reconstruction-based compensation methods in myocardial perfusion SPECT
Application of	task	-specific metrics in JPEG2000 ROI compression
Application of the Fuzzy Artmap Neural-Network Model to Medical Pattern-Classification	task	s
Application of Three-Class ROC Analysis to	task	-Based Image Quality Assessment of Simultaneous Dual-Isotope Myocardial Perfusion SPECT (MPS)
Applications of non-metric vision to some visual guided	task	s
Applications of Non-Metric Vision to Some Visually-Guided Robotics	task	s
Approach to Investigate an Influence of Visual Angle Size on Emotional Activation During a Decision-making	task	, An
Approach to the Vision	task	s Involved in an Autonomous Crop Protection Vehicle, An
Approximating the Ideal Observer and Hotelling Observer for Binary Signal Detection	task	s by Use of Supervised Learning Methods
Approximating the Ideal Observer for Joint Signal Detection and Localization	task	s by use of Supervised Learning Methods
AR-PCA-HMM Approach for Sensorimotor	task	Classification in EEG-based Brain-Computer Interfaces
Arch-Graph: Acyclic Architecture Relation Predictor for	task	-Transferable Neural Architecture Search
Architecture and Automatic	task	Planning for Sensor-Based Robots
Are deep learning models robust to partial object occlusion in visual recognition	task	s?
Are metrics measuring what they should? An evaluation of Image Captioning	task	metrics
ARNOLD: A Benchmark for Language-Grounded	task	Learning With Continuous States in Realistic 3D Scenes
AS-Net: An attention-aware downsampling network for point clouds oriented to classification	task	s
ASHiTA: Automatic Scene-Grounded HIerarchical	task	Analysis
Assessing Similarities and Differences between Males and Females in Visual Behaviors in Spatial Orientation	task	s
Assessing the effects of dynamic luminance contrast noise masking on a color discrimination	task
Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection	task	s
Assessing the Role of Spatial Relations for the Object Recognition	task
Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying	task	s
AssistGUI:	task	-Oriented PC Graphical User Interface Automation
Assisting Multimodal Named Entity Recognition by cross-modal auxiliary	task	s
AssistQ: Affordance-Centric Question-Driven	task	Completion for Egocentric Assistant
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-	task	Learning Method
Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision	task	s
Asynchronous Deep Reinforcement Learning for Collaborative	task	Computing and On-Demand Resource Allocation in Vehicular Edge Computing
Asynchronous Shuffled Frog-Leaping With Feasible Jaya Algorithm for Uncertain	task	Rescheduling Problem in UAV Emergency Networks, An
Attacking Attention of Foundation Models Disrupts Downstream	task	s
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-	task	Learning
Attention based multi-	task	interpretable graph convolutional network for Alzheimer's disease analysis
Attention-Aware Multi-	task	Convolutional Neural Networks
Attention-Based Multi-	task	Learning for Fine-Grained Image Classification
attention-enhanced cross-	task	network to analyse lung nodule attributes in CT images, An
Attentive Single-	task	ing of Multiple Tasks
Attentive	task	Interaction Network for Multi-Task Learning
Attentive	task	Interaction Network for Multi-Task Learning
Attentive texture similarity as a categorization	task	: Comparing texture synthesis models
Auto-context and its application to high-level vision	task	s
Auto-Context and Its Application to High-Level Vision	task	s and 3D Brain Image Segmentation
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic	task	s
Automated camera layout to satisfy	task	-specific and floor plan-specific coverage requirements
Automated Cognitive Health Assessment Using Smart Home Monitoring of Complex	task	s
Automated measurement of children's facial expressions during problem solving	task	s
Automated Temporal Analysis of Gaze Following in a Visual Tracking	task	, The
Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi-	task	Deep Learning Approach
Automatic Detection of Amyotrophic Lateral Sclerosis (ALS) from Video-Based Analysis of Facial Movements: Speech and Non-Speech	task	s
Automatic Facial Attractiveness Prediction by Deep Multi-	task	Learning
Automatic Scoring of Multiple Semantic Attributes With Multi-	task	Feature Leverage: A Study on Pulmonary Nodules in CT Images
Automatic Sensor Placement from Vision	task	Requirements
Automatic Sensor Search and Positioning for Geometric	task	s
Automatically Generating Specification Properties From	task	Models for the Formal Verification of Human-Automation Interaction
Automatically Layer-Wise Searching Strategy for Channel Pruning Based on	task	-Driven Sparsity Optimization, An
AutoMF: Spatio-temporal Architecture Search for The Meteorological Forecasting	task
Autonomous Generation of Service Strategy for Household	task	s: A Progressive Learning Method With A Priori Knowledge and Reinforcement Learning
Autonomous Planning Algorithm for Satellite Laser Ranging	task	s Based on Rolling Horizon Optimization Framework
AutoSegEdge: Searching for the edge device real-time semantic segmentation based on multi-	task	learning
Auxiliary	task	-Guided CycleGAN for Black-Box Model Domain Adaptation
Auxiliary	task	s and Exploration Enable ObjectGoal Navigation
Auxiliary	task	s Benefit 3D Skeleton-based Human Motion Prediction
Auxiliary	task	s for Efficient Learning of Point-Goal Navigation
Axial Sphere Loss: Encouraging Open-Space Risk Minimization in Face Identification	task	s
Backpack Full of Skills: Egocentric Video Understanding with Diverse	task	Perspectives, A
Balancing Shared and	task	-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation
Bargaining Theoretic Approach to Quality-Fair System Resource Allocation for Multiple Decoding	task	s, A
Batch mode Adaptive Multiple Instance Learning for computer vision	task	s
Batch Model Consolidation: A Multi-	task	Model Consolidation Framework
Bayesian Classification of	task	-Oriented Actions Based on Stochastic Context-Free Grammar
Bayesian evaluation framework for subjectively annotated visual recognition	task	s, A
Behavior Recognition in Human Object Interactions with a	task	Model
Belief-Based	task	Offloading Algorithm in Vehicular Edge Computing, A
Benchmark and Evaluation of Surveillance	task
BEST: Benchmark and Evaluation of Surveillance	task
Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual	task	s
Beyond bottom-up: Incorporating	task	-dependent influences into a computational model of spatial attention
Beyond Counting: Comparisons of Density Maps for Crowd Analysis	task	s: Counting, Detection, and Tracking
Beyond Dataset Bias: Multi-	task	Unaligned Shared Knowledge Transfer
Beyond Image Super-Resolution for Image Recognition with	task	-Driven Perceptual Loss
Beyond Self-Attention: External Attention Using Two Linear Layers for Visual	task	s
Beyond Vision: A Multimodal Recurrent Attention Convolutional Neural Network for Unified Image Aesthetic Prediction	task	s
BGTracker: Cross-	task	Bidirectional Guidance Strategy for Multiple Object Tracking
Bi-level deep mutual learning assisted multi-	task	network for occluded person re-identification
Bi-level Learning of	task	-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
Bi-spectral higher order statistics and time-frequency domain features for arithmetic	task	classification from EEG signals
BigSmall: Efficient Multi-	task	Learning for Disparate Spatial and Temporal Physiological Measurements
Billion-Scale Pretraining with Vision Transformers for Multi-	task	Visual Representations
Biologically inspired	task	oriented gist model for scene classification
Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision	task	s, A
Bitat: Neural Network Binarization with	task	-dependent Aggregated Transformation
Blockchain and Learning-Based Secure and Intelligent	task	Offloading for Vehicular Fog Computing
Boosted multi-	task	learning for face verification with applications to web image and video search
Boosted Multi-	task	Model for Pedestrian Detection With Occlusion Handling, A
Boosting Camouflaged Object Detection with Dual-	task	Interactive Transformer
Boundary Error Analysis and Categorization in the TRECVID News Story Segmentation	task
Box-Based Refinement for Weakly Supervised and Unsupervised Localization	task	s
Brain Image Segmentation for Ultrascale Neuron Reconstruction via an Adaptive Dual-	task	Learning Network
Brain-Computer Interface for Mental Arithmetic	task	from Single-Trial Near-Infrared Spectroscopy Brain Signals, A
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-	task	Dense Predictions
Bridging Cross-	task	Protocol Inconsistency for Distillation in Dense Object Detection
Bridging Morphology and Molecular Signatures: Multi-	task	Deep Learning for Multi-Omics Prediction from Histopathology
Brush, lasso, or magic wand? Picking the right tool for large-scale multiple object selection	task	s
BTG-Net++: Enhanced Bi-Directional	task	-Guided Network for Few-Shot Fine-Grained Image Classification
Building Reliable and Reusable Test Collections for Image Retrieval: The Wikipedia	task	at ImageCLEF
Built-Up Area Change Detection Using Multi-	task	Network with Object-Level Refinement
CafeBoost: Causal Feature Boost to Eliminate	task	-Induced Bias for Class Incremental Learning
CALTracker: Cross-	task	Association Learning for Multiple Object Tracking
CAMEL: Confidence-Aware Multi-	task	Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation
Can Categories and Attributes Be Learned in a Multi-	task	Way?
Can data placement be effective for Neural Networks classification	task	s? Introducing the Orthogonal Loss
Can Selfless Learning improve accuracy of a single classification	task	?
Can We Characterize	task	s Without Labels or Features?
Capability-Oriented Decision-Making in Multi-UAV Deployment and	task	Allocation: A Hierarchical Game-Based Framework
Cascade framework for	task	-space synchronization of networked robots with uncertain kinematics and dynamics
Cascade of	task	s for facial expression analysis
case study in identifying acceptable bitrates for human face recognition	task	s, A
Category Contrast for Unsupervised Domain Adaptation in Visual	task	s
Causal Attention for Vision-Language	task	s
Causal Intervention Method for Domain Generalization with a Self-Supervised Auxiliary	task	, A
CDTFusion: Crossing Domain and	task	for Infrared and Visible Image Fusion
Cell tracking using deep neural networks with multi-	task	learning
Center-Focusing Multi-	task	CNN with Injected Features for Classification of Glioma Nuclear Images
CGMNet: Semantic Change Detection via a Change-Aware Guided Multi-	task	Network
ChangeMask: Deep multi-	task	encoder-transformer-decoder architecture for semantic change detection
Channel-Robust RF Fingerprint Identification Using Multi-	task	Learning and Receiver Collaboration
Channelized-ideal observer using Laguerre-Gauss channels in detection	task	s involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal
Chimera: A Multi-	task	Recurrent Convolutional Neural Network for Forest Classification and Structural Estimation
CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision	task	s
CKD: Cross-	task	Knowledge Distillation for Text-to-Image Synthesis
Class Incremental Learning for Image Classification With Out-of-Distribution	task	Identification
Class Incremental Learning With	task	-Selection
Classification images for simple detection and discrimination	task	s in correlated noise
Classification of fNIRS based brain hemodynamic response to mental arithmetic	task	s
Classification of Hyperspectral Image Based on	task	-Specific Learning Network
Classification	task	Assisted Segmentation Network for Breast Tumor Segmentation in Ultrasound Images
Classification-based Multi-	task	Learning for Efficient Pose Estimation Network
Classifier-specific intermediate representation for multimedia	task	s
CLEF 2005 Automatic Medical Image Annotation	task	, The
CLEval: Character-Level Evaluation for Text Detection and Recognition	task	s
Cloud Transformers: A Universal Approach To Point Cloud Processing	task	s
Cluster-based multi-	task	Sparse Representation for efficient face recognition
Clustered Multi-	task	Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition
Clustered	task	-Aware Meta-Learning by Learning from Learning Paths
Clustering Quality Measures for Point Cloud Segmentation	task	s
CMT-CO: Contrastive Learning with Character Movement	task	for Handwritten Text Recognition
CNN-Based cascaded multi-	task	learning of high-level prior and density estimation for crowd counting
Co-attentive multi-	task	convolutional neural network for facial expression recognition
CO-Net++: A Cohesive Network for Multiple Point Cloud	task	s at Once With Two-Stage Feature Rectification
CO-Net: Learning Multiple Point Cloud	task	s at Once with A Cohesive Network
Co-segmentation inspired attention module for video-based computer vision	task	s
Co-Training Vision-Language Models for Remote Sensing Multi-	task	Learning
Coarse to Fine: Progressive and Multi-	task	Learning for Salient Object Detection
Coarse-to-fine pseudo supervision guided meta-	task	optimization for few-shot object classification
Coarse-to-Fine	task	-Driven Inpainting for Geoscience Images
CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary	task
Coevolutionary learning of neural network ensemble for complex classification	task	s
Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore	task	Intelligence
Cognitive	task	Virtualization for Alzheimer's Diagnosis Using Realistic VR Simulation
Cognitive	task	s modelization and description in VR environment for Alzheimer's disease state identification
Cognitive Workload Impacts of Simulated Visibility Changes During Search and Surveillance	task	s Quantified by Functional Near Infrared Spectroscopy
Collective Sports: A multi-	task	dataset for collective activity recognition
Collimator Optimization for Detection and Quantitation	task	s: Application to Gallium-67 Imaging
Colorization as a Proxy	task	for Visual Understanding
Combined use of partial least squares regression and neural network for diagnosis	task	s
Combining Linear Dimensionality Reduction and Locality Preserving Projections with Feature Selection for Recognition	task	s
Combining Multiple Shape Matching Techniques with Application to Place Recognition	task
Combining	task	Predictors via Enhancing Joint Predictability
Combining Vision-Language Models and Weak Supervision for Nuanced Vision Classification	task	s
Combining visual and acoustic features for audio classification	task	s
Comic MTL: optimized multi-	task	learning for comic book image analysis
Comic Speaker Prediction Based on Visual Relations and Natural Language Processing	task	s
Commentary Paper on An Object- and	task	-Oriented Architecture for Automated Video Surveillance in Distributed Sensor Networks
Comparative Performance Evaluation of Gray-Scale and Color Information for Face Recognition	task	s
Comparing indirect and direct touch in a stereoscopic interaction	task
Comparing Objective and Subjective Metrics Between Physical and Virtual	task	s
Comparing state-of-the-art visual features on invariant object recognition	task	s
Comparison and Evaluation of Sonification Strategies for Guidance	task	s
Comparison of a two-handed interface to a wand interface and a mouse interface for fundamental 3D	task	s
Comparison of Channel Methods and Observer Models for the	task	-Based Assessment of Multi-Projection Imaging in the Presence of Structured Anatomical Noise
Comparison of Classifier Fusion Methods for Classification in Pattern Recognition	task	s
Comparison of Edge Detection Algorithms Using a Structure from Motion	task
Comparison of Edge Detector Performance through Use in an Object Recognition	task
Comparison of Edge Detectors Using an Object Recognition	task
Comparison of Facial Alignment Techniques: With Test Results on Gender Classification	task
Comparison of Feature Detectors with Passive and	task	-Based Visual Saliency, A
Comparison of PMD-Cameras and Stereo-Vision for the	task	of Surface Reconstruction using Patchlets, A
Complementary computing for visual	task	s: Meshing computer vision with human visual processing
Complexity Experts are	task	-Discriminative Learners for Any Image Restoration
Complexity of Perceptual Search	task	s, The
composite approach to evaluate two interaction techniques for a 3D pointing	task	, A
Composite Description Based on Salient Contours and Color Information for CBIR	task	s
Composite	task	ing: Understanding Images by Spatial Composition of Tasks
Compound Expression Recognition In-the-wild with AU-assisted Meta Multi-	task	Learning
comprehensive survey: Image deraining and stereo-matching	task	-driven performance analysis, A
ComPtr: Toward Diverse Bi-Source Dense Prediction	task	s via a Simple Yet General Complementary Transformer
Computational Methods for	task	-Directed Sensor Data Fusion and Planning
Computational Model of Focused Attention Meditation and Its Transfer to a Sustained Attention	task	, A
Computational Modeling of Age-Differences in a Visually Demanding Driving	task	: Vehicle Detection
Computing Swept Volumes for Sensor Planning	task	s
ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language	task	s
Conditional Channel Gated Networks for	task	-Aware Continual Learning
Conditional Multi-	task	learning for Plant Disease Identification
Conditional Mutual Information Based Feature Selection for Classification	task
Conditional random fields versus template-matching in MT phrasing	task	s involving sparse training data
Confidence Intervals for Error Rates in 1:1 Matching	task	s: Critical Statistical Analysis and Recommendations
Conflicts between Likelihood and Knowledge Distillation in	task	Incremental Learning for 3D Object Detection
Connecting Image Denoising and High-Level Vision	task	s via Deep Learning
Constrained Probabilistic Mask Learning for	task	-specific Undersampled MRI Reconstruction
Constructing	task	visibility intervals for a surveillance system
Content Based Image Retrieval system using Wavelet Transformation and multiple input multiple	task	Deep Autoencoder
Content-Aware Image Color Editing with Auxiliary Color Restoration	task	s
Content-Dependency Reduction With Multi-	task	Learning In Blind Stitched Panoramic Image Quality Assessment
Context multi-	task	visual object tracking via guided filter
Context-based automatic reconstruction and texturing of 3D urban terrain for quick-response	task	s
Contextual Learning in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search	task	s
Contextualising Implicit Representations for Semantic	task	s
Continual Action Assessment via	task	-Consistent Score-Discriminative Feature Distribution Modeling
Continual Learning Based on OOD Detection and	task	Masking
Continual Learning Survey: Defying Forgetting in Classification	task	s, A
Continual Object Detection via Prototypical	task	Correlation Guided Gating Mechanism
Contrasting Instructional Strategies Suited to a Detection	task	: Examining Differences in Subjective Workload
Controllable Dynamic Multi-	task	Architectures
Convex Formulation for Learning a Shared Predictive Structure from Multiple	task	s, A
Convolution-Enhanced Bi-Branch Adaptive Transformer With Cross-	task	Interaction for Food Category and Ingredient Recognition
Convolutional Masked Image Modeling for Dense Prediction	task	s on Pathology Images
Convolutional Oriented Boundaries: From Image Segmentation to High-Level	task	s
Cooperative Dual-	task	Path Planning for Persistent Surveillance and Emergency Handling by Multiple Unmanned Ground Vehicles
Cooperative multi-	task	learning and reliability assessment for glioma segmentation and IDH genotyping
Cooperative	task	allocation method for multi-unmanned aerial vehicles based on the modified genetic algorithm
Cops-Ref: A New Dataset and	task	on Compositional Referring Expression Comprehension
Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied	task	s, A
CoTDet: Affordance Knowledge Prompting for	task	Driven Object Detection
Counting Challenging Crowds Robustly Using a Multi-Column Multi-	task	Convolutional Neural Network
Coupled Shift-Invariant Tensorial Spatial ICA Applied to Multi-Group Complex-Valued	task	-Related and Resting-State fMRI Data
Coupled-dynamic learning for vision and language: Exploring Interaction between different	task	s
Covid-MANet: Multi-	task	attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images
CP-mtML: Coupled Projection Multi-	task	Metric Learning for Large Scale Face Retrieval
CPVF: Vectorization of Agricultural Cultivation Field Parcels via a Boundary-Parcel Multi-	task	Learning Network in Ultra-High-Resolution Remote Sensing Images
CrabNet: Fully	task	-Specific Feature Learning for One-Stage Object Detection
Crafting a multi-	task	CNN for viewpoint estimation
Creating Experts From the Crowd: Techniques for Finding Workers for Difficult	task	s
CRML-Net: Cross-Modal Reasoning and Multi-	task	Learning Network for tooth image segmentation
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement	task
Crop/Weed Field Image Dataset for the Evaluation of Computer Vision Based Precision Agriculture	task	s, A
Cross Dense Feature Learning With	task	Guidance for Few-Shot Classification
Cross Domain Lifelong Learning Based on	task	Similarity
Cross-Connected Networks for Multi-	task	Learning of Detection and Segmentation
Cross-Corpus Acoustic Emotion Recognition with Multi-	task	Learning: Seeking Common Ground While Preserving Differences
Cross-domain Few-shot Learning with	task	-specific Adapters
Cross-Domain Multi-	task	Learning for Object Detection and Saliency Estimation
Cross-Domain Self-Supervised Multi-	task	Feature Learning Using Synthetic Imagery
Cross-layer features in convolutional neural networks for generic classification	task	s
Cross-Lingual Text Image Recognition via Multi-	task	Sequence to Sequence Learning
Cross-Modal Data Augmentation for	task	s of Different Modalities
Cross-Modal Knowledge Transfer Without	task	-Relevant Source Data
Cross-Modal Pedestrian Behavior Prediction: A Dual-	task	Approach with Progressive Denoising Attention and CVAE
Cross-modality person re-identification via multi-	task	learning
Cross-Stitch Networks for Multi-	task	Learning
Cross-	task	Affinity Learning for Multitask Dense Scene Predictions
Cross-	task	and cross-domain SAR target recognition: A meta-transfer learning approach
Cross-	task	and Cross-Participant Classification of Cognitive Load in an Emergency Simulation Game
Cross-	task	and time-aware adversarial attack framework for perception of autonomous driving
Cross-	task	Attention Mechanism for Dense Multi-task Learning
Cross-	task	Attention Mechanism for Dense Multi-task Learning
Cross-	task	Crash Severity Analysis With Cost-Sensitive Transfer Graph Convolutional Network
Cross-	task	Inconsistency Based Active Learning (CTIAL) for Emotion Recognition
Cross-	task	Multimodal Reinforcement for Long Tail Next POI Recommendation
Cross-	task	Relation-Aware Consistency for Weakly Supervised Temporal Action Detection
Cross-	task	Transfer for Geotagged Audiovisual Aerial Scene Recognition
Cross-	task	Weakly Supervised Learning From Instructional Videos
CrossInfoNet: Multi-	task	Information Sharing Based Hand Pose Estimation
CTOD: Cross-Attentive	task	-Alignment for One-Stage Object Detection
CubiCasa5K: A Dataset and an Improved Multi-	task	Model for Floorplan Image Analysis
Curriculum Learning for Multi-	task	Classification of Visual Attributes
Curriculum learning of multiple	task	s
Curriculum learning of visual attribute clusters for multi-	task	classification
Curriculum-Based Asymmetric Multi-	task	Reinforcement Learning
Cutting through the clutter:	task	-relevant features for image matching
C^2MT: A Credible and Class-Aware Multi-	task	Transformer for SR-IQA
Data-Adaptive Weight-Ensembling for Multi-	task	Model Fusion
Data-driven bayesian-guided activation functions for multi-	task	pattern recognition
Data-Efficient and Robust	task	Selection for Meta-Learning
DATA: Domain-Aware and	task	-Aware Self-supervised Learning
Database Indexing, Specific	task	s
DATNet: Dense Auxiliary	task	s for Object Detection
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-	task	Interactions
DBA-PCGC: Dual-Domain Boundary Aware for	task	-Friendly Point Cloud Geometry Compression
Dealing with Cross-	task	Class Discrimination in Online Continual Learning
Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction	task	through Knowledge Distillation
Decentralized Motion Planning for Multiagent Collaboration Under Coupled LTL	task	Specifications
Deciding the Path: Leveraging Multi-Agent Systems for Solving Complex	task	s
Deconfounding the Effects of Resting State Activity on	task	Activation Detection in fMRI
Decouple-and-Sample: Protecting Sensitive Information in	task	Agnostic Data Release
Decouple-Then-Merge: Finetune Diffusion Models as Multi-	task	Learning
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric	task	s
Decoupled Multi-	task	Learning with Cyclical Self-Regulation for Face Parsing
Decoupled Multi-	task	Network for Shadow Removal, A
Decoupled PROB: Decoupled Query Initialization	task	s and Objectness-Class Learning for Open World Object Detection
Decoupled self-supervised deep multi-	task	learning framework for subscriber portrait in smart meter
DecoupleNet: Domain-specific	task	decoupling network for low-light image enhancement
Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for	task	-Incremental Learning
Decoupling multi-	task	causality for improved skin lesion segmentation and classification
Deep CNN-based classification of motor imagery	task	s from EEG signals using 2D wavelet transformed images of adaptively reconstructed signals from MVMD decomposed modes
Deep Co-Training with	task	Decomposition for Semi-Supervised Domain Adaptation
Deep Collaborative Multi-	task	Network: A Human Decision Process Inspired Model for Hierarchical Image Classification
Deep contrastive representation learning for supervised	task	s
Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification	task	s
Deep Crisp Boundaries: From Boundaries to Higher-Level	task	s
Deep Elastic Networks With Model Selection for Multi-	task	Learning
Deep Execution Monitor for Robot Assistive	task	s
Deep Floor Plan Recognition Using a Multi-	task	Network With Room-Boundary-Guided Attention
Deep Learning for Multi-	task	Plant Phenotyping
Deep Learning Triplet Ordinal Relation Preserving Binary Code for Remote Sensing Image Retrieval	task
Deep learning-driven diagnosis: A multi-	task	approach for segmenting stroke and Bell's palsy
Deep Low Light Image Enhancement via Multi-	task	Learning of Few Shot Exposure Imaging
Deep MANTA: A Coarse-to-Fine Many-	task	Network for Joint 2D and 3D Vehicle Analysis from Monocular Image
Deep Multi-	task	Attribute-Driven Ranking for Fine-Grained Sketch-Based Image Retrieval
Deep Multi-	task	Learning Based Fast Intra-Mode Decision for Versatile Video Coding
Deep multi-	task	learning for a geographically-regularized semantic segmentation of aerial images
Deep Multi-	task	Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing
Deep multi-	task	learning for gait-based biometrics
Deep Multi-	task	Learning for Joint Localization, Perception, and Prediction
Deep Multi-	task	Learning for Joint Prediction of Heterogeneous Face Attributes
Deep Multi-	task	Learning in Computer Vision
Deep Multi-	task	Learning to Recognise Subtle Facial Expressions of Mental States
Deep multi-	task	learning with relational attention for business success prediction
Deep Multi-	task	Multi-Label CNN for Effective Facial Attribute Classification
Deep multimodal learning for cross-modal retrieval: One model for all	task	s
Deep reinforcement learning and ant colony optimization supporting multi-UGV path planning and	task	assignment in 3D environments
Deep Reinforcement Learning-Based	task	Offloading for Vehicular Edge Computing With Flexible RSU-RSU Cooperation
Deep Reinforcement Learning-Based	task	Offloading With Collaborative Inference in UAV-Assisted Mobile Edge Computing Networks
Deep Reinforcement Learning-Based	task	Scheduling and Resource Allocation for Vehicular Edge Computing: A Survey
Deep tree-structured face: A unified representation for multi-	task	facial biometrics
Deep Virtual Networks for Memory Efficient Inference of Multiple	task	s
Deep visual unsupervised domain adaptation for classification	task	s: A survey
Deep-Learning Based GNSS Scene Recognition Method for Detailed Urban Static Positioning	task	via Low-Cost Receivers, A
DeepDNet: Deep Dense Network for Depth Completion	task
DeepSaliency: Multi-	task	Deep Neural Network Model for Salient Object Detection
DeepShoe: An improved Multi-	task	View-invariant CNN for street-to-shop shoe retrieval
DeepSkeleton: Learning Multi-	task	Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Defocus Image Deblurring Network With Defocus Map Estimation as Auxiliary	task
Dense computing	task	analysis of multi-view matching method and GPU implementation
Dense Relational Image Captioning via Multi-	task	Triple-Stream Networks
DenseFormer-MoE: A Dense Transformer Foundation Model With Mixture of Experts for Multi-	task	Brain Image Analysis
Densely connected multidilated convolutional networks for dense prediction	task	s
Density-aware and background-aware network for crowd counting via multi-	task	learning
Density-Aware Multi-	task	Learning for Crowd Counting
Depict: Diffusion-enabled Permutation Importance for Image Classification	task	s
Descriptive and Prescriptive Languages for Mobility	task	s: Are They Different?
Design and Evaluation of a Haptic Computer-Assistant for Telemanipulation	task	s
Design Eye-Tracking Augmented Reality Headset to Reduce Cognitive Load in Repetitive Parcel Scanning	task
Designing Extremely Memory-Efficient CNNs for On-device Vision and Audio	task	s
Designing Extremely Memory-efficient CNNs for On-device Vision	task	s
Designing stereo heads using	task	domain constraints
DETA: A Point-Based Tracker With Deformable Transformer and	task	-Aligned Learning
DETA: Denoised	task	Adaptation for Few-Shot Learning
Detecting Absence of Bone Wall in Jugular Bulb by Image Transformation Surrogate	task	s
Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage	task	-Oriented Deep Neural Networks
Detecting Drivers' Mirror: Checking Actions and Its Application to Maneuver and Secondary	task	Recognition
Detecting global ocean subsurface density change with high-resolution via dual-	task	densely-former
Detecting Stress During Real-World Driving	task	s Using Physiological Sensors
Detection of Atypical Elements by Transforming	task	to Supervised Form
Detection of Cognitive Binding During Ambiguous Figure	task	s by Wavelet Coherence Analysis of EEG Signals
Detection of Metadata Tampering Through Discrepancy Between Image Content and Metadata Using Multi-	task	Deep Learning
Detection of static objects for the	task	of video surveillance
Determination of Motion Breakpoints in a	task	Sequence from Human Hand Motion
Determining the trustworthiness of DNNs in classification	task	s using generalized feature-based confidence metric
DeTTO: Dependency-Aware Trustworthy	task	Offloading in Vehicular IoT
Developer-friendly segmentation using OpenVL, a high-level	task	-based abstraction
Developing	task	-Specific RBF Hand Gesture Recognition
Development and evaluation of a specialized	task	taxonomy for spatial planning: A map literacy experiment with topographic maps
Devil is in the	task	: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection, The
DeViouS: a distributed environment for vision	task	s
DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-	task	Consistency
Diagnostic Captioning by Cooperative	task	Interactions and Sample-Graph Consistency
Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level	task	s
Difficulty Estimation with Action Scores for Computer Vision	task	s
Diffusion-based Visual Anagram as Multi-	task	Learning
DiffusionMTL: Learning Multi-	task	Denoising Diffusion Model from Partially Annotated Data
Digital Twin-Based	task	-Driven Resource Management in Intelligent UAV Swarms
Digital Twin-Driven Vehicular	task	Offloading and IRS Configuration in the Internet of Vehicles
Discover-Then-Name:	task	-Agnostic Concept Bottlenecks via Automated Concept Discovery
Discriminative multi-	task	objects tracking with active feature selection and drift correction
Discriminative Multi-	task	Sparse Learning for Robust Visual Tracking Using Conditional Random Field
Discriminative Neural Variational Model for Unbalanced Classification	task	s in Knowledge Graph
Discriminative Training of Deep Fully Connected Continuous CRFs With	task	-Specific Loss
Disentangling	task	-Oriented Representations for Unsupervised Domain Adaptation
Disjoint Multi-	task	Learning Between Heterogeneous Human-Centric Tasks
Disjoint Multi-	task	Learning Between Heterogeneous Human-Centric Tasks
Disposable Transfer Learning for Selective Source	task	Unlearning
Distance-Based Descriptors and Their Application in the	task	of Object Detection
Distilling Cross-	task	Knowledge via Relationship Matching
Distilling Facial Knowledge with Teacher-	task	s: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition
Distilling from Similar	task	s for Transfer Learning on a Budget
Distilling Image Dehazing With Heterogeneous	task	Imitation
Distortion-Aware Multi-	task	Learning Framework for Fractional Interpolation in Video Coding, A
Distractor suppression Siamese network with	task	-aware attention for visual tracking
Distributed Algorithm for	task	Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing, A
Distributed architectures and logical-	task	decomposition in multimedia surveillance systems
Distributed Collaborative Computing for	task	Completion Rate Maximization in Vehicular Edge Computing
Distributed Deadlock-Free	task	Offloading Algorithm for Integrated Communication-Sensing-Computing Satellites with Data-Dependent Constraints, A
Distributed Infrastructure Enabling Effective Integration of Earth Observation Information Resources for Collective Solution of Archiving, Searching, Processing and Eo Data Analyzing	task	s
Distributed Semantic Segmentation with Efficient Joint Source and	task	Decoding
Distributed	task	Assignment for Multiple Robots Under Limited Communication Range
Di	task	: Multi-Task Fine-Tuning with Diffeomorphic Transformations
DIVE: Inverting Conditional Diffusion Models for Discriminative	task	s
Diversified Dynamic Routing for Vision	task	s
Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification	task
Diversified	task	Augmentation with Redundancy Reduction for Cross-Domain Few-Shot Learning
diversified-equal loss for image translation	task	s, The
divide-and-conquer strategy for facial landmark detection using dual-	task	CNN architecture, A
Divide-and-conquer towards optimal adaptation of pre-trained model to medical	task	s
DJUHNet: A deep representation learning-based scheme for the	task	of joint image upsampling and hashing
DMITS: Dependency and Mobility-Aware Intelligent	task	Scheduling in Socially-Enabled VFC Based on Federated DRL Approach
Do Different Map Types Support Map Reading Equally? Comparing Choropleth, Graduated Symbols, and Isoline Maps for Map Use	task	s
Doc2graph: A	task	Agnostic Document Understanding Framework Based on Graph Neural Networks
DocRes: A Generalist Model Toward Unifying Document Image Restoration	task	s
Does gender make a difference to performing in-vehicle	task	s?
Does Robustness on ImageNet Transfer to Downstream	task	s?
Does the Brain Rest?: An Independent Component Analysis of Temporally Coherent Brain Networks at Rest and During a Cognitive	task
Doing and Feeling: Relationships Between Moods, Productivity and	task	-Switching
Doing Versus Observing: Virtual Reality and 360-Degree Video for Training Manufacturing	task	s
Domain Adaptation Through	task	Distillation
Domain Aware Multi-	task	Pretraining of 3d Swin Transformer for T1-Weighted Brain MRI
Domain Generalization for Object Recognition with Multi-	task	Autoencoders
domain-of-influence based pricing strategy for	task	assignment in crowdsourcing package delivery, A
Don't just listen, use your imagination: Leveraging visual common sense for non-visual	task	s
DONNAv2: Lightweight Neural Architecture Search for Vision	task	s
Double-	task	Deep Q-Learning with Multiple Views
DR(eye)VE: A Dataset for Attention-Based	task	s with Applications to Autonomous and Assisted Driving
Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive	task	-related fatigue
Driver Gaze Area Prediction During IVIS Secondary	task	s Based on Multivariate Features of Spatial-Temporal Distribution
Driver Multi-	task	Emotion Recognition Network Based on Multi-Modal Facial Video Analysis
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking	task	s
DT Assisted	task	Offloading for C-V2X Networks With Imperfect DT Prediction Conditions
Dual Domain Multi-	task	Model for Vehicle Re-Identification
Dual	task	Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches
Dual Transfer Learning for Event-based End-	task	Prediction via Pluggable Event to Image Translation
Dual-Channel Multi-	task	CNN for No-Reference Screen Content Image Quality Assessment
Dual-Domain Multi-	task	Learning-Based Domain Adaptation for Hyperspectral Image Classification
Dual-	task	ConvLSTM-UNet for Instance Segmentation of Weakly Annotated Microscopy Videos
Dual-	task	Integrated Network for Fast Pedestrian Detection in Crowded Scenes
Dual-	task	Mutual Learning With QPHFM Watermarking for Deepfake Detection
Dual-	task	Mutual Reinforcing Embedded Joint Video Paragraph Retrieval and Grounding
Dual-	task	Network for Terrace and Ridge Extraction: Automatic Terrace Extraction via Multi-Task Learning
Dual-	task	Network for Terrace and Ridge Extraction: Automatic Terrace Extraction via Multi-Task Learning
dual-	task	region-boundary aware neural network for accurate pulmonary nodule segmentation, A
Dual-	task	Semantic Change Detection for Remote Sensing Images Using the Generative Change Field Module
Dual-	task	Supervised Network for SAR and Road Vector Image Matching
Dual-	task	Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans, A
Duality Diagram Similarity: A Generic Framework for Initialization Selection in	task	Transfer Learning
DXA-Net: Dual-	task	Cross-Lingual Alignment Network for Zero-Shot Cross-Lingual Spoken Language Understanding
Dynamic Context Removal: A General Training Strategy for Robust Models on Video Action Predictive	task	s
Dynamic Cross-	task	Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy
Dynamic Delay-Sensitive Observation-Data-Processing	task	Offloading for Satellite Edge Computing: A Fully-Decentralized Approach
Dynamic Feature Interaction Framework for Multi-	task	Visual Perception, A
Dynamic Integration of	task	-Specific Adapters for Class Incremental Learning
Dynamic Neural Network for Multi-	task	Learning Searching across Diverse Network Topologies
Dynamic Resource Allocation for Cloud-Edge Collaboration Offloading in VEC Networks With Diverse	task	s
Dynamic	task	Assignment and Path Optimization for Multi-AUVs System
Dynamic	task	decomposition for decentralized object tracking in complex scenes
Dynamic	task	Decomposition for Probabilistic Tracking in Complex Scenes
Dynamic	task	Planning Method for Multi-Source Remote Sensing Satellite Cooperative Observation in Complex Scenarios
Dynamic	task	Prioritization for Multitask Learning
Dynamic topology and relevance learning SOM-based algorithm for image clustering	task	s
Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis	task	s
DynaShare:	task	and Instance Conditioned Parameter Sharing for Multi-Task Learning
DynaShare:	task	and Instance Conditioned Parameter Sharing for Multi-Task Learning
DynRefer: Delving into Region-level Multimodal	task	s via Dynamic Resolution
DYSON: Dynamic Feature Space Self-Organization for Online	task	-Free Class Incremental Learning
E-CNNet: Time-reassigned Multisynchrosqueezing transform-based deep learning framework for MI-BCI	task	classification
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language	task	s
Each Performs Its Functions:	task	Decomposition and Feature Assignment for Audio-Visual Segmentation
Earth Observation	task	Representation Model Supporting Dynamic Demand for Flood Disaster Monitoring and Management, An
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction	task
EarthVQANet: Multi-	task	visual question answering for remote sensing image understanding
EASUM: Enhancing Affective State Understanding through Joint Sentiment and Emotion Modeling for Multimodal	task	s
EdgeStereo: An Effective Multi-	task	Learning Network for Stereo Matching and Edge Detection
Editorial special issue on multiple-	task	learning for big data
EEG & Eye Tracking User Experiments for Spatial Memory	task	on Maps
EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping	task	s
EEG Method to Identify Image Preference With an Explicit/Implicit	task	Brain-Computer Interface, An
Effcient Multiple Loop Adjustment for Computer Vision	task	s
Effect of Color-Contrasting Shadows on a Dynamic 3-D Laparoscopic Surgical	task	, The
Effective extraction of ventricles and myocardium objects from cardiac magnetic resonance images with a multi-	task	learning U-Net
Effective Presentation Attack Detection Driven by Face Related	task
Effective	task	Sampling Strategy Based on Category Generation for Fine-Grained Few-Shot Object Recognition, An
effectiveness of T5, GPT-2, and BERT on text-to-image generation	task	, The
Effectiveness of	task	-Level Parallelism for High-Level Vision, The
Effects of Algorithmic Transparency on User Experience and Physiological Responses in Affect-Aware	task	Adaptation
Effects of Augmented Reality on the Performance of Teleoperated Industrial Assembly	task	s in a Robotic Embodiment
Effects of Cast Shadows and Stereopsis on Performing Computer-Generated Spatial	task	s, The
Effects of Controlled Element Dynamics on Human Feedforward Behavior in Ramp-Tracking	task	s
Effects of Lead Time of Take-Over Request and Nondriving	task	s on Taking-Over Control of Automated Vehicles, The
Effects of Non-Driving Related	task	s During Self-Driving Mode
Effects of Preview on Human Control Behavior in Tracking	task	s With Various Controlled Elements
Effects of Preview Time in Manual Tracking	task	s
Effects of sound on visual realism perception and	task	performance
Effects of visual conflicts on 3D selection	task	performance in stereoscopic display environments
Efficient Action Detection in Untrimmed Videos via Multi-	task	Learning
Efficient adaptive density estimation per image pixel for the	task	of background subtraction
Efficient and Effective Transformer Decoder-based Framework for Multi-	task	Visual Grounding, An
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-	task	Model Merging
Efficient Anomaly Detection Using Self-Supervised Multi-Cue	task	s
Efficient Computation Sharing for Multi-	task	Visual Scene Understanding
Efficient Controllable Multi-	task	Architectures
efficient deep multi-	task	learning structure for COVID-19 disease, An
Efficient embedding of interprocessor communications in parallel implementations of intermediate level vision	task	s
Efficient Expansion and Gradient Based	task	Inference for Replay Free Incremental Learning
Efficient Feature Compression for the Object Tracking	task
Efficient Graph-Based Spatio-Temporal Indexing Method for	task	-Oriented Multi-Modal Scene Data Organization, An
efficient multi-agent computationnal model for massively distribution of independent and heterogeneous	task	s, An
Efficient multi-	task	progressive learning for semantic segmentation and disparity estimation
Efficient Multilevel Eigensolvers with Applications to Data Analysis	task	s
Efficient Package Delivery	task	Assignment for Truck and High Capacity Drone
Efficient Partial	task	Offloading and Resource Allocation Scheme for Vehicular Edge Computing in a Dynamic Environment, An
Efficient Prediction of Model Transferability in Semantic Segmentation	task	s
Efficient Proposals: Scale Estimation for Object Proposals in Pedestrian Detection	task	s
Efficient Stitchable	task	Adaptation
efficient system for combining complementary kernels in complex visual categorization	task	s, An
Efficient	task	assignment in spatial crowdsourcing with worker and task privacy protection
Efficient	task	assignment in spatial crowdsourcing with worker and task privacy protection
Efficient	task	Grouping Through Sample-Wise Optimisation Landscape Analysis
Efficient	task	Implementation Modeling Framework with Multi-Stage Feature Selection and AutoML: A Case Study in Forest Fire Risk Prediction, An
Efficient	task	-Specific Conditional Diffusion Policies: Shortcut Model Acceleration and SO(3) Optimization
Efficient	task	-Specific Feature Re-Fusion for More Accurate Object Detection and Instance Segmentation
Efficient Transfer From Image-Based Large Multimodal Models to Video	task	s
Efficient Transfer Learning for Visual	task	s via Continuous Optimization of Prompts
Efficient use of parallelism in intermediate level vision	task	s
Efficiently utilizing complex-valued PolSAR image data via a multi-	task	deep learning framework
EGO-CH: Dataset and fundamental	task	s for visitors behavioral understanding using egocentric vision
Egocentric Video	task	Translation
EgoTV: Egocentric	task	Verification from Natural Language Task Descriptions
EgoTV: Egocentric	task	Verification from Natural Language Task Descriptions
Elaborate multi-	task	subspace learning with discrete group constraint
ELBA: Learning by Asking for Embodied Visual Navigation and	task	Completion
Electromyography for Teleoperated	task	s in Weightlessness
Embedding	task	Structure for Action Detection
Embedding	task	s Into the Latent Space: Cross-Space Consistency for Multi-Dimensional Analysis in Echocardiography
Emerging Relation Network and	task	Embedding for Multi-Task Regression Problems
Emerging Relation Network and	task	Embedding for Multi-Task Regression Problems
EmoComicNet: A multi-	task	model for comic emotion recognition
Emotion Recognition With Sequential Multi-	task	Learning Technique
Empathy Detection From Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of	task	Formulations and Machine Learning Methods
empirical comparison of graph-based dimensionality reduction algorithms on facial expression recognition	task	s, An
Empirical Investigations on Benchmark	task	s for Automatic Image Annotation
EMT-NAS: Transferring architectural knowledge between	task	s from different datasets
Emu Edit: Precise Image Editing via Recognition and Generation	task	s
EMVP: An Edge-Assisted Multi-	task	Visual Perception System for Multi-Vehicle Scenarios
Encoding sparse and competitive structures among	task	s in multi-task learning
Encoding sparse and competitive structures among	task	s in multi-task learning
End-to-end interactive joint model: Clause-phrase multi-	task	learning for suicidal ideation cause extraction (SICE) in Chinese Weibo text
End-to-End Learned Scalable Multilayer Feature Compression for Machine Vision	task	s
End-to-end Multi-Modal Multi-	task	Vehicle Control for Self-Driving Cars with Visual Perceptions
End-to-End Multi-	task	Learning for Lung Nodule Segmentation and Diagnosis
End-to-End Multi-	task	Learning Model for Drivable Road Detection via Edge Refinement and Geometric Deformation, An
End-to-end Multi-	task	Learning of Missing Value Imputation and Forecasting in Time-Series Data
End-To-End Multi-	task	Learning With Attention
End-to-End Real-Time Obstacle Detection Network for Safe Self-Driving via Multi-	task	Learning
End-to-End	task	-Guided Refinement of Synthetic Images for Data Efficient Cerebral Microbleed Detection
EndoNet: A Deep Architecture for Recognition	task	s on Laparoscopic Videos
Energy Efficient	task	-Offloading for DT-Powered IRS-Aided Vehicular Communication Network Underlaying UAV
Energy-aware and robust	task	(re)assignment in embedded smart camera networks
Energy-efficient adaptive dependent	task	scheduling in cooperative vehicle-infrastructure system
Energy-Efficient Cooperative	task	Offloading in NOMA-Enabled Vehicular Fog Computing
Energy-Efficient Timely Truck Transportation for Geographically-Dispersed	task	s
Energy-transfer features and their application in the	task	of face detection
Engagement Detection with Multi-	task	Training in E-Learning Environments
EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification	task
Enhance to read better: A Multi-	task	Adversarial Network for Handwritten Document Image Enhancement
Enhanced Multi-	task	Learning Architecture for Detecting Pedestrian at Far Distance
Enhanced representation and multi-	task	learning for image annotation
Enhanced	task	attention with adversarial learning for dynamic multi-task CNN
Enhanced	task	attention with adversarial learning for dynamic multi-task CNN
Enhancing abusive language detection: A domain-adapted approach leveraging BERT pre-training	task	s
Enhancing Cross-	task	Black-Box Transferability of Adversarial Examples With Dispersion Reduction
Enhancing Infrared Small Target Detection: A Saliency-Guided Multi-	task	Learning Approach
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary	task	s
Enhancing Multi-	task	Learning with Attention Mechanisms
Enhancing	task	Offloading in IoV With a Two-Stage Algorithm Under Information Asymmetry
Enhancing Video Anomaly Understanding via Multi-	task	Instruction Tuning
Enriching visual feature representations for vision-language	task	s using spectral transforms
Enroll-to-Verify Approach for Cross-	task	Unseen Emotion Class Recognition, An
Ensemble methods for biclustering	task	s
Ensemble of Multi-	task	Learning Networks for Facial Expression Recognition In-the-wild with Learning from Synthetic Data
Ensemble Prototype Networks for Unsupervised Cross-Modal Hashing With Cross-	task	Consistency
Entropic Score to Rank Annotators for Crowdsourced Labeling	task	s, An
Equiangular Basis Vectors: A Novel Paradigm for Classification	task	s
Equivalence of Some Common Linear Feature Extraction Techniques for Appearance-Based Object Recognition	task	s
Error Detection in Egocentric Procedural	task	Videos
Error regulation strategies for Model Based visual servoing	task	s: Application to autonomous object grasping with Nao robot
Escape from Meadwyn 4: A cross-platform environment for collaborative navigation	task	s
Estimation receiver operating characteristic curve and ideal observers for combined detection/estimation	task	s
Evaluating Multi-	task	Learning for Multi-view Head-Pose Classification in Interactive Environments
Evaluating stereo vision and user tracking in mixed reality	task	s!
Evaluating synthetic pre-Training for handwriting processing	task	s
Evaluating Transferability in Retrieval	task	s: An Approach Using MMD and Kernel Methods
Evaluating Variable Autonomy for a Teleoperated Navigation	task	in a Habituated Environment
Evaluation of 3D virtual cursor offset techniques for navigation	task	s in a multi-display virtual environment
Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP	task	s
Evaluation of Edge Detection Algorithms Using a Structure from Motion	task
Evaluation of Haptic and Visual Cues for Repulsive or Attractive Guidance in Nonholonomic Steering	task	s
Evaluation of the tactile detection response	task	in a laboratory test using a surrogate driving set-up
Evaluation of Time Series Distance Functions in the	task	of Detecting Remote Phenology Patterns
Evaluation of Visual Content Descriptors for Supporting Ad-Hoc Video Search	task	s at the Video Browser Showdown
Evaluation of Visual Speech Features for the	task	s of Speech and Speaker Recognition, An
EvDistill: Asynchronous Events to End-	task	Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
Event-Based Visible and Infrared Fusion via Multi-	task	Collaboration
Evolution of Transferable and Self-Organized Communication Modules for Solving Multiple Swarm Robotics	task	s
ExaM: Unsupervised Concept-Based Representation Learning to Better Explain Models in Vision	task	s
Examination of Effectiveness of a Performed Procedural	task	Using Low-Cost Peripheral Devices in VR
Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous	task	s, The
Experiencing the Spirit of Place as a Design	task	: The Street of Hamra in the Heart of Beirut
Experimental Comparison of Non-Parametric Classifiers for Time-Constrained Classification	task	s, An
Experimental Results of Underwater Sound Speed Profile Inversion by Few-Shot Multi-	task	Learning
Expert Level Control of Ramp Metering Based on Multi-	task	Deep Reinforcement Learning
Expert Level Control of Ramp Metering Based on Multi-	task	Deep Reinforcement Learning
Expert Regularizers for	task	Specific Processing
Exploiting Proximity-Aware	task	s for Embodied Social Navigation
Exploiting Related and Unrelated	task	s for Hierarchical Metric Learning and Image Classification
Exploiting	task	and data parallelism for advanced video coding on hybrid CPU + GPU platforms
Exploring complementary information of self-supervised pretext	task	s for unsupervised video pre-training
Exploring Dual-	task	Correlation for Pose Guided Person Image Generation
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation	task	s
Exploring Relational Context for Multi-	task	Dense Prediction
Exploring	task	Structure for Brain Tumor Segmentation From Multi-Modality MR Images
Exploring the diversity and invariance in yourself for visual pre-training	task
Exploring Vision-Based Interfaces: How to Use Your Head in Dual Pointing	task	s
Exploring visual language models for driver gaze estimation: A	task	-based approach to debugging AI
Extracting discriminative features using	task	-oriented gaze maps measured from observers for personal attribute classification
Eye landmarks detection via two-level cascaded CNNs with multi-	task	learning
Eye Movement Analysis Algorithm for a Multielement Target Tracking	task	: Maximum Transition-Based Agglomerative Hierarchical Clustering, An
Eye-In-Hand Robotic	task	s in Uncalibrated Environments
EyeNet: A Multi-	task	Deep Network for Off-Axis Eye Gaze Estimation
Fabric Retrieval Based on Multi-	task	Learning
FaceHunter: A Multi-	task	Convolutional Neural Network Based Face Detector
Facial Action Unit Event Detection by Cascade of	task	s
Facial Action Unit Recognition in the Wild with Multi-	task	CNN Self-Training for the EmotioNet Challenge
Facial age estimation using Clustered Multi-	task	Support Vector Regression Machine
Facial Attributes Classification Using Multi-	task	Representation Learning
Facial Emotion Recognition with Noisy Multi-	task	Annotations
Facial event classification with	task	oriented dynamic Bayesian network
Facial expression recognition based on a multi-	task	global-local network
Facial Landmark Detection by Deep Multi-	task	Learning
Facial point detection using convolutional neural network transferred from a heterogeneous	task
Facilitating Autonomous Driving	task	s With Large Language Models
Factors of Influence for Transfer Learning Across Diverse Appearance Domains and	task	Types
FADE: A	task	-Agnostic Upsampling Operator for Encoder-Decoder Architectures
FADE: Fusing the Assets of Decoder and Encoder for	task	-Agnostic Upsampling
Fair Federated Learning for Multi-	task	6G NWDAF Network Anomaly Detection
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown	task	s
FAME-ViL: Multi-	task	ing Vision-Language Model for Heterogeneous Fashion Tasks
FAR-AMTN: Attention Multi-	task	Network for Face Attribute Recognition
FArMARe: a Furniture-Aware Multi-	task	methodology for Recommending Apartments based on the user interests
Fast approximate kernel-based similarity search for image retrieval	task
Fast Computation of Region Homogeneity with Application in a Surveillance	task
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-	task	Learning in Computer Vision Tasks for Robotic Grasping on the Edge
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-	task	Learning in Computer Vision Tasks for Robotic Grasping on the Edge
Fast Selection of Small and Precise Candidate Sets from Dictionaries for Text Correction	task	s
Fault Signal Perception of Nanofiber Sensor for 3D Human Motion Detection Using Multi-	task	Deep Learning
FCL-ViT:	task	-aware attention tuning for Continual Learning
Feature Extraction from Wavelet Coefficients for Pattern Recognition	task	s
Feature Learning for the Image Retrieval	task
Feature Planning for Robust Execution of General Robot	task	s using Visual Servoing
Feature Selection for Multimedia Analysis by Sharing Information Among Multiple	task	s
Feature Selection in Regression	task	s Using Conditional Mutual Information
Feature-Guided Instance Mining and	task	-Aligned Focal Loss for Weakly Supervised Object Detection in Remote Sensing Images
Federated Learning Enabled Credit Priority	task	Processing for Transportation Big Data
Fedhca2: Towards Hetero-Client Federated Multi-	task	Learning
FedServ: Federated	task	Service in Fog-Enabled Internet of Vehicles
Few-Shot Class-Incremental Learning by Sampling Multi-Phase	task	s
Few-Shot Class-Incremental SAR Target Recognition Based on Dynamic	task	-Adaptive Classifier
Few-shot classification with	task	-adaptive semantic feature learning
Few-Shot High-Resolution Range Profile Ship Target Recognition Based on	task	-Specific Meta-Learning with Mixed Training and Meta Embedding
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic	task	Sampling
Few-Shot Learning of Compact Models via	task	-Specific Meta Distillation
Filter Distribution Templates in Convolutional Networks for Image Classification	task	s
Finding Non-uniform Quantization Schemes Using Multi-	task	Gaussian Processes
Finding Significant Points for a Handwritten Classification	task
Finding	task	-Relevant Features for Few-Shot Learning by Category Traversal
Finding the Right Moment: Human-Assisted Trailer Creation via	task	Composition
Finding Visual	task	Vectors
Findings from shared	task	s on hate speech detection: Performance patterns for low-resource languages
Fine-Grain Batching-Based	task	Allocation Algorithm for Spatial Crowdsourcing, A
Fine-Grained Recognition in the Wild: A Multi-	task	Domain Adaptation Approach
FineRehab: A Multi-modality and Multi-	task	Dataset for Rehabilitation Analysis
First Attempt to Define Level of Details Based on Decision-making	task	s: Application to Underground Utility Network, A
Fish-Inspired	task	Allocation Algorithm for Multiple Unmanned Aerial Vehicles in Search and Rescue Missions
Fisher information and surrogate figures of merit for the	task	-based assessment of image quality
FishNet: Fish visual recognition with one stage multi-	task	learning
Flexible Clustered Multi-	task	Learning by Learning Representative Tasks
Flexible Clustered Multi-	task	Learning by Learning Representative Tasks
flexible ensemble-SVM for computer vision	task	s, A
FlexVLN: Flexible Adaptation for Diverse Vision-and-Language Navigation	task	s
FloorLevel-Net: Recognizing Floor-Level Lines With Height-Attention-Guided Multi-	task	Learning
Florence-2: Advancing a Unified Representation for a Variety of Vision	task	s
FMGNet: An efficient feature-multiplex group network for real-time vision	task
Focus More on What? Guiding Multi-	task	Training for End-to-End Person Search
FocusFace: Multi-	task	Contrastive Learning for Masked Face Recognition
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-	task	Blind Image Quality Assessment
Formal Machine-Learning Approach to Generating Human-Machine Interfaces From	task	Models, A
Formulation of Parallel Image Processing	task	s
Forward Diffusion Guided Reconstruction as a Multi-Modal Multi-	task	Learning Scheme
FPGA Implementation of 3-Bit Quantized Multi-	task	CNN for Contour Detection and Disparity Estimation
Fragment-Based Knowledge Transfer for Multi-	task	Capacitated Vehicle Routing
Frame-Based System for Modelling and Executing Visual	task	s, A
framework and baseline results for the CLEF medical automatic annotation	task	, A
Framework for Implementing Multi-Sensor Robotic	task	s, A
Frank-Wolfe-based Multi-	task	Learning for Historical Document Restoration
Frequency domain	task	-adaptive network for restoring images with combined degradations
Frequency-Aware Feature Aggregation Network with Dual-	task	Consistency for RGB-T Salient Object Detection
From Easy to Difficult: A Self-Paced Multi-	task	Joint Sparse Representation Method
From Emotions to Action Units with Hidden and Semi-Hidden-	task	Learning
From Evaluation to Verification: Towards	task	-oriented Relevance Metrics for Pedestrian Detection in Safety-critical Domains
From Translation to Generative LLMs: Classification of Code-Mixed Affective	task	s
FSMT: Few-Shot Object Detection via Multi-	task	Decoupled
FULLER: Unified Multi-modality Multi-	task	3D Perception via Multi-level Gradient Calibration
Fully Automated Multimodal MRI-Based Multi-	task	Learning for Glioma Segmentation and IDH Genotyping, A
Fully Automated Pipeline For Classification	task	s With An Application To Remote Sensing, A
Fully synthetic training for image restoration	task	s
Fully-Adaptive Feature Sharing in Multi-	task	Networks with Applications in Person Attribute Classification
Fusion Encoder with Multi-	task	Guidance for Cross-Modal Text-Image Retrieval in Remote Sensing, A
Fuzzy Color-Based Approach for Understanding Animated Movies Content in the Indexing	task	, A
g3D-LF: Generalizable 3D-Language Feature Fields for Embodied	task	s
GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream	task	s
Ganzzle: Reframing Jigsaw Puzzle Solving as a Retrieval	task	using a Generative Mental Image
Gaze estimation with semi-supervised eye landmark detection as an auxiliary	task
General and	task	-oriented Video Segmentation
General End-to-End Method for Characterizing Neuropsychiatric Disorders using Free-Viewing Visual Scanning	task	s, A
Generalist YOLO: Towards Real-Time End-to-End Multi-	task	Visual Language Models
Generalized Face Anti-Spoofing via Multi-	task	Learning and One-Side Meta Triplet Loss
Generalized Fake Image Detection Method Based on Gated Hierarchical Multi-	task	Learning
generalized multi-	task	learning approach to stereo DSM filtering in urban areas, A
Generalized	task	-Driven Medical Image Quality Enhancement With Gradient Promotion
Generating an Interpretation Tree from a CAD Model for 3D-Object Recognition in Bin-Picking	task	s
Generating Erroneous Human Behavior From Strategic Knowledge in	task	Models and Evaluating Its Impact on System Safety With Model Checking
Generating Private Data Surrogates for Vision Related	task	s
Generating	task	-Oriented Interactions of Service Robots
Generating Visual Sensing Strategies in Assembly	task	s
Generative Adversarial Multi-	task	Learning for Face Sketch Synthesis and Recognition
Generative Adversarial Network With Robust Discriminator Through Multi-	task	Learning for Low-Dose CT Denoising
Generative Causality-Driven Network for Graph Multi-	task	Learning
Generic Object Crowd Tracking by Multi-	task	Learning
Genetic	task	s Planning in Image Processing: Towards a Minimization of Prior Information
GenSumm: A Joint Framework for Multi-	task	Tweet Classification and Summarization Using Sentiment Analysis and Generative Modelling
Geodesic-Aligned Gradient Projection for Continual	task	Learning
Geographic Named Entity Matching and Evaluation Recommendation Using Multi-Objective	task	s: A Study Integrating a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG)
Geometric backtracking for combined	task	and motion planning in robotic systems
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental	task
Glacier Extraction from Cloudy Satellite Images Using a Multi-	task	Generative Adversarial Network Leveraging Transformer-Based Backbones
GLeaD: Improving GANs with A Generator-Leading	task
global probabilistic framework for the foreground, background and shadow classification	task	, A
GMC: A general framework of multi-stage context learning and utilization for visual detection	task	s
GMSS: Graph-Based Multi-	task	Self-Supervised Learning for EEG Emotion Recognition
Goal-Driven Human Motion Synthesis in Diverse	task	s
Goals,	task	s, and Bonds: Toward the Computational Assessment of Therapist Versus Client Perception of Working Alliance
Going Beyond Multi-	task	Dense Prediction with Synergy Embedding Models
Good Data Augmentation Policy is not All You Need: A Multi-	task	Learning Perspective, A
Gradient-based class weighting for unsupervised domain adaptation in dense prediction visual	task	s
GradMix: Multi-source Transfer across Domains and	task	s
GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and	task	-Oriented Feature
Granularity-Aware Adaptation for Image Retrieval Over Multiple	task	s
Graph Convolutional Reinforcement Learning-Guided Joint Trajectory Optimization and	task	Offloading for Aerial Edge Computing
Graph-based neural network models with multiple self-supervised auxiliary	task	s
GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-	task	Knowledge Transfer for Single Image Dehazing
Grouped Multi-	task	CNN for Facial Attribute Recognition
GROUSE: A	task	and Model Agnostic Wavelet- Driven Framework for Medical Imaging
GRS: Generating Robotic Simulation	task	s from Real-World Images
Guest Editorial: Learning from limited annotations for computer vision	task	s
Guiding a robot by visual feedback in assembling	task	s
HA-Net: Hierarchical Attention Network Based on Multi-	task	Learning for Ciliary Muscle Segmentation in AS-OCT
HAIC-NET: Semi-supervised OCTA vessel segmentation with self-supervised pretext	task	and dual consistency training
HammerDrive: A	task	-Aware Driving Visual Attention Model
Hand Image Understanding via Deep Multi-	task	Learning
Hand-Dorsa Vein Recognition Based on	task	-Specific Cross-Convolutional-Layer Pooling
HANDEY: A Robot	task	Planner
Handling Complex Events in Surveillance	task	s
Handling of	task	Hierarchies on the Nepomuk Social Semantic Desktop
Haptic Solution to Assist Visually Impaired in Mobility	task	s, A
HD-MTL: Hierarchical Deep Multi-	task	Learning for Large-Scale Visual Recognition
Height aware understanding of remote sensing images based on cross-	task	interaction
Helpful or Harmful: Inter-	task	Association in Continual Learning
Henet: Hybrid Encoding for End-to-end Multi-	task	3d Perception from Multi-view Cameras
Heterogeneous Face Attribute Estimation: A Deep Multi-	task	Learning Approach
Heterogeneous face detection based on multi-	task	cascaded convolutional neural network
Heterogeneous Multi-	task	Learning for Human Pose Estimation with Deep Convolutional Neural Network
Heuristic Distributed	task	Allocation Method for Multivehicle Multitask Problems and Its Application to Search and Rescue Scenario, A
HF-UNet: Learning Hierarchically Inter-	task	Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images
HF-UNet: Learning Hierarchically Inter-	task	Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images
Hier-EgoPack: Hierarchical Egocentric Video Understanding With Diverse	task	Perspectives
Hierarchical Approach for Multi-	task	Logistic Regression, A
Hierarchical Clustering Multi-	task	Learning for Joint Human Action Grouping and Recognition
Hierarchical Conditional Semi-Paired Image-to-Image Translation for Multi-	task	Image Defect Correction on Shopping Websites
Hierarchical Diffusion Policy for Kinematics-Aware Multi-	task	Robotic Manipulation
Hierarchical Gaussian Processes model for multi-	task	learning
Hierarchical Knowledge Prompt Tuning for Multi-	task	Test-Time Adaptation
Hierarchical learning of multi-	task	sparse metrics for large-scale image classification
Hierarchical Modeling for	task	Recognition and Action Segmentation in Weakly-Labeled Instructional Videos
Hierarchical Multi-	task	Approach to Gastrointestinal Image Analysis, A
Hierarchical Multi-	task	Learning via Task Affinity Groupings
Hierarchical Multi-	task	Learning via Task Affinity Groupings
Hierarchical Multi-	task	Network For Race, Gender and Facial Attractiveness Recognition
Hierarchical Multi-	task	Restoration Network for Old Photo Enhancement
Hierarchical Prompt Learning for Multi-	task	Learning
Hierarchical Representation Network With Auxiliary	task	s for Video Captioning and Video Question Answering
Hierarchical Shared Encoder With	task	-Specific Transformer Layer Selection for Emotion-Cause Pair Extraction
Hierarchical	task	and Motion Planning in the Now
Hierarchical Vision Architecture for Robotic Manipulation	task	s, A
Hierarchical-Learning-Based	task	Assignment for Heterogeneous Multi-AUV-UG Collaborative System to Collect Data From Underwater Sensors
HierarQ:	task	-Aware Hierarchical Q-Former for Enhanced Video Understanding
Hiface: Hybrid	task	Learning for Face Reconstruction from Single Image
High Cognitive Load Assessment in Drivers Through Wireless Electroencephalography and the Validation of a Modified N-Back	task
High-low level	task	combination for object detection in foggy weather conditions
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression	task	s
HitFusion: Infrared and Visible Image Fusion for High-Level Vision	task	s Using Transformer
hmOS: An Extensible Platform for	task	-Oriented Human-Machine Computing
Holistic Evaluation of	task	View Format for Training a Simulated Robot-Assisted EOD Task, A
Holistic Evaluation of	task	View Format for Training a Simulated Robot-Assisted EOD Task, A
Hot-started NAS for	task	-specific Embedded Applications
How do image complexity,	task	demands and looking biases influence human gaze behavior?
How Far Can a 1-pixel Camera Go? Solving Vision	task	s Using Photoreceptors and Computationally Designed Visual Morphology
How interaction methods affect image segmentation: User experience in the	task
How Much More Data Do I Need? Estimating Requirements for Downstream	task	s
How Optimal Depth Cue Integration Depends on the	task
How Resource Demands of Nondriving-Related	task	s and Engagement Time Affect Drivers' Physiological Response and Takeover Performance in Conditional Automated Driving
How to involve structural modeling for cartographic object recognition	task	s in high-resolution satellite images?
How Trustworthy are Performance Evaluations for Basic Vision	task	s?
How Useful Is Self-Supervised Pretraining for Visual	task	s?
HSP-MFL: A High-level Semantic Property driven Multi-	task	Feature Learning Network for unsupervised person Re-ID
Htad: A Home-	task	s Activities Dataset with Wrist-accelerometer and Audio Features
HTD: Heterogeneous	task	Decoupling for Two-Stage Object Detection
Hulk: A Universal Knowledge Translator for Human-Centric	task	s
Human Comfort Index Estimation in Industrial Human-Robot Collaboration	task
Human Visual System vs Convolution Neural Networks in food recognition	task	: An empirical comparison
Human-Robot Interaction During Virtual Reality Mediated Teleoperation: How Environment Information Affects Spatial	task	Performance and Operator Situation Awareness
Human-Robot Interaction Video Sequencing	task	(HRIVST) for Robot's Behavior Legibility
Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation	task	s by Use of Supervised Learning and Markov-Chain Monte Carlo Methods, A
Hybrid Mapping for the Assistance of Teleoperated Grasping	task	s
Hybrid Neural Network System for Pattern Classification	task	s with Missing Features, A
Hybrid Single Input and Multiple Output Method For Compressing Features Towards Machine Vision	task	s
Hybrid	task	Cascade for Instance Segmentation
Hybrid	task	Cascade-Based Building Extraction Method in Remote Sensing Imagery
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration	task	Switching Network for MRI Reconstruction
HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation	task	s
HyperFace: A Deep Multi-	task	Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
HyperGCN: Interpreting Hyperscanning EEG Signals for Common Multi-	task	Classification Using Graph Convolutional Networks
Hypergraph+: An Improved Hypergraph-Based	task	-Scheduling Algorithm for Massive Spatial Data Processing on Master-Slave Platforms
Hyperspectral image destriping and denoising from a	task	decomposition view
Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary	task
Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-	task	Learning with Locality Information
HyperSTAR:	task	-Aware Hyperparameter Recommendation for Training and Compression
HyperSTAR:	task	-Aware Hyperparameters for Deep Networks
HyperTaFOR:	task	-Adaptive Few-Shot Open-Set Recognition with Spatial-Spectral Selective Transformer for Hyperspectral Imagery
Hypervolume Under the ROC Hypersurface of Near-Guessing and Near-Perfect Observers in N-Class Classification	task	s, The
I can't believe there's no images!: Learning Visual	task	s Using Only Language Supervision
Iconic Classification Scheme for Video-Based Traffic Sensor	task	s, An
Ideal observer analysis for	task	normalization of pattern classifier performance applied to EEG and fMRI data
Identification of Driver State for Lane-Keeping	task	s
Identifying and Mitigating Spurious Correlation in Multi-	task	Learning
Identifying Auxiliary or Adversarial	task	s Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding
Identifying Auxiliary or Adversarial	task	s Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding
Identifying Patterns for Convolutional Neural Networks in Regression	task	s to Make Specific Predictions via Genetic Algorithms
Identifying Stable EEG Patterns in Manipulation	task	for Negative Emotion Recognition
Identifying Successful Motor	task	Completion via Motion-Based Performance Metrics
Identifying the best data-driven feature selection method for boosting reproducibility in classification	task	s
IEA Wind	task	32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar
IIMT-net: Poly-1 weights balanced multi-	task	network for semantic segmentation and depth estimation using interactive information
Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language	task	s
Image Change Captioning by Learning from an Auxiliary	task
Image compression based on	task	-specific information
Image Cosegmentation via Multi-	task	Learning
Image Pattern Similarity Index and Its Application to	task	-Specific Transfer Learning
Image Quality Feedback-based Adaptive Video Definition Improvement For The Space Manipulation	task
Image Reflection Removal via Contextual Feature Fusion Pyramid and	task	-Driven Regularization
Image segmentation fusion using weakly supervised trace-norm multi-	task	learning method
image similarity descriptor for classification	task	s, An
Image Splicing Localization using a Multi-	task	Fully Convolutional Network (MFCN)
Image-Based Robot	task	Planning and Control Using a Compact Visual Representation
Image-to-Images Translation for Multi-	task	Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
ImageCLEF Medical Retrieval	task	at ICPR 2010: Information Fusion to Combine Visual and Textual Information, The
ImageCLEF Medical Retrieval	task	at ICPR 2010: Information Fusion, The
ImageCLEF@ICPR Contest: Challenges, Methodologies and Results of the Photo Annotation	task
Imitation of Assembly	task	s for Realizing Dexterous Manipulation
IMOFC: Identity-Level Metric Optimized Feature Compression for Identification	task	s
Impact of annotation dimensionality under variable	task	complexity in remote guidance
Impact of Foveated Rendering on Procedural	task	Training
Impact of Video Compression Artifacts on Fisheye Camera Visual Perception	task	s
Impact of Viewing Distance on	task	Performance and Its Properties
Impact on Reader Performance for Lesion-Detection/ Localization	task	s of Anatomical Priors in SPECT Reconstruction
Implement contour following	task	of objects with unknown geometric models by using combination of two visual servoing techniques
Improve object detection via a multi-feature and multi-	task	CNN model
Improved ASD classification using dynamic functional connectivity and multi-	task	feature selection
Improved Gaussian Mixture Model for the	task	of Object Tracking
Improved high dynamic range imaging using multi-scale feature flows balanced between	task	-orientedness and accuracy
Improved Method for Human Activity Detection with High-Resolution Images by Fusing Pooling Enhancement and Multi-	task	Learning, An
Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training	task	s, An
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-	task	Training with Self-Supervised Depth Estimation
Improving Beam Alignment Accuracy in mmWave Communication Systems With Auxiliary	task	s
Improving Bird's Eye View Semantic Segmentation by	task	Decomposition
Improving End-to-End Text Image Translation From the Auxiliary Text Translation	task
Improving Few-Shot Learning Through Multi-	task	Representation Learning Theory
Improving Few-Shot Learning using Composite Rotation based Auxiliary	task
Improving Fusion with Margin-Derived Confidence in Biometric Authentication	task	s
Improving Generalization Ability of Deep Neural Networks for Visual Recognition	task	s
Improving Model Accuracy for Imbalanced Image Classification	task	s by Adding a Final Batch Normalization Layer: An Empirical Study
Improving Multiple Machine Vision	task	s in the Compressed Domain
Improving Multiview Face Detection with Multi-	task	Deep Convolutional Neural Networks
Improving Performances of MSER Features in Matching and Retrieval	task	s
Improving radial lens distortion correction with multi-	task	learning
Improving Robotic Grasping on Monocular Images Via Multi-	task	Learning and Positional Loss
Improving Self-Supervised Learning for Out-Of-Distribution	task	via Auxiliary Classifier
Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-	task	Learning
Improving texture description in remote sensing image multi-scale classification	task	s by using visual words
In Defense of the Learning Without Forgetting for	task	Incremental Learning
In-Camera Data Stream Processing System for Defect Detection in Web Inspection	task	s, An
Inconsistency-Based Multi-	task	Cooperative Learning for Emotion Recognition
Incorporating Human Contrast Sensitivity in Model Observers for Detection	task	s
Incorporating Lane Estimation as Context Source in Pedestrian Recognition	task
Incorporating Self-attention Mechanism and Multi-	task	Learning into Scene Text Detection
Incorporating	task	Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits
Incremental Learning of	task	s From User Demonstrations, Past Experiences, and Vocal Comments
Incremental	task	Learning with Incremental Rank Updates
Independent Component Alignment for Multi-	task	Learning
Indoor Scene Recognition using	task	and Saliency-driven Feature Pooling
Inertial BSN-Based Characterization and Automatic UPDRS Evaluation of the Gait	task	of Parkinsonians
Inferring	task	s and Fluents in Videos by Learning Causal Relations
Influence of	task	and Scene Content on Subjective Video Quality
influence of the visualization	task	on the simulator sickness symptoms: A comparative SSQ study on 3DTV and 3D immersive glasses, The
Influencing Human Escape Maneuvers With Perceptual Cues in the Presence of a Visual	task
Information Fusion in Visual-	task	Inference
Information-Theoretic Approach to Transferability in	task	Transfer Learning, An
Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction	task	s, An
Informationally Decentralized System Resource Management for Multiple Multimedia	task	s
InfraParis: A multi-modal and multi-	task	autonomous driving dataset
Infrared and Visible Image Fusion: From Data Compatibility to	task	Adaption
Infrared Cephalic-vein to Assist Blood Extraction	task	s: Automatic Projection And Recognition
Infrared Small Target Detection Based on Saliency Guided Multi-	task	Learning
Instance-Aware Multi-	task	Learning for Nuclei Segmentation
Instance-Aware Semantic Segmentation via Multi-	task	Network Cascades
Instance-Based Video Search via Multi-	task	Retrieval and Re-Ranking
Instruct-ReID: A Multi-Purpose Person Re-Identification	task	with Instructions
InstructDiffusion: A Generalist Modeling Interface for Vision	task	s
Integrating multi-camera tracking into a dynamic	task	allocation system for smart cameras
Integrating Sensing,	task	Planning, and Execution for Robotic Assembly
Integrating Vision and Touch for Object Recognition	task	s
Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing	task	Scheduling
Integration of Physical and Cognitive Human Models to Simulate Driving With a Secondary In-Vehicle	task
Intelligent	task	Offloading for Heterogeneous V2X Communications
intelligent visual	task	system for lateral skull X-ray images, An
Inter-	task	Association Critic for Cross-Resolution Person Re-Identification
Interactions Between Threat and Executive Control in a Virtual Reality Stroop	task
Interactive intelligent agents with creative minds: Experiments with mobile robots in cooperating	task	s by using machine learning
Intermediate-level vision	task	s on a memory array architecture
Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic	task	s
Interpretable Multi-	task	Prediction Neural Network for Autonomous Vehicles
Interpretable	task	-inspired Adaptive Filter Pruning for Neural Networks Under Multiple Constraints
Interpretation of Spatial Language in a Map Navigation	task
Interpreting a Dynamic and Uncertain World:	task	-Based Control
Interpreting mechanisms of prediction for skin cancer diagnosis using multi-	task	learning
Intra-	task	Mutual Attention-Based Vision Transformer for Few-Shot Learning
Inversed Pyramid Network with Spatial-adapted and	task	-oriented Tuning for few-shot learning
Inverted Pyramid Multi-	task	Transformer for Dense Scene Understanding
Investigating Customization Strategies and Convergence Behaviors of	task	-Specific ADMM
Investigating EEG Microstate Analysis in Cognitive Software Engineering	task	s: A Systematic Mapping Study and Taxonomy
Investigating one-eyed and stereo cursors for 3D pointing	task	s
Investigating	task	-Driven Latent Feasibility for Nonconvex Image Modeling
Investigating the Best Performing	task	Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database
Investigating Uncertainty Weighting for Multi-	task	Learning: Insights and Analytical Alternative
Investigation of Three Potential Stress Inducement	task	s During On-Road Driving
InvPT++: Inverted Pyramid Multi-	task	Transformer for Visual Scene Understanding
IOU-enhanced Attention for End-to-end	task	Specific Object Detection
iPCa-Former: A Multi-	task	Transformer Framework for Perceiving Incidental Prostate Cancer
Is Arabic text categorization a solved	task	?
Is image super-resolution helpful for other vision	task	s?
Is Meta-Learning Always Necessary?: A Practical ML Framework Solving Novel	task	s at Large-scale Car Sharing Platform
Is overfeat useful for image-based surface defect classification	task	s?
ISDM at ImageCLEF 2010 Fusion	task
Isogeometric finite-elements methods and variational reconstruction	task	s in vision: A perfect match
It's all about habits: Exploiting multi-	task	clustering for activities of daily living analysis
iTAML: An Incremental	task	-Agnostic Meta-learning Approach
Iterative Learning Distributed Model Predictive Control for Autonomous Vehicle Platoons With Applications to Repetitive	task	s
IUR-Net: A Multi-Stage Framework for Label Refinement	task	s in Noisy Remote Sensing Samples
Jack of All	task	s, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model
JARVIS-1: Open-World Multi-	task	Agents With Memory-Augmented Multimodal Language Models
Joint airport runway segmentation and line detection via multi-	task	learning for intelligent visual navigation
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-	task	Learning Approach
Joint Head Pose Estimation with Multi-	task	Cascaded Convolutional Networks for Face Alignment
Joint Learning of Image Deblurring and Depth Estimation Through Adversarial Multi-	task	Network
Joint Multi-Patch and Multi-	task	CNNs for Robust Face Recognition
Joint Multi-	task	CNN for Cross-Age Face Recognition, A
Joint Optimization of	task	Offloading and Resource Allocation for UAV-Assisted Edge Computing: A Stackelberg Bilayer Game Approach
Joint Partial Offloading and Resource Allocation for Vehicular Federated Learning	task	s
Joint Prediction of Sea Clutter Amplitude Distribution Based on a One-Dimensional Convolutional Neural Network with Multi-	task	Learning
Joint Scheduling of Causal Prompts and	task	s for Multi-Task Learning
Joint Scheduling of Causal Prompts and	task	s for Multi-Task Learning
Joint Service Placement and	task	Offloading in Vehicle-Edge-Cloud Collaborative Networks
Joint Sparse and Low-Rank Multi-	task	Learning with Extended Multi-Attribute Profile for Hyperspectral Target Detection
Joint Sparse Optical Flow Estimation and Keypoint Detection via Dual-	task	Imperative Learning
Joint Sparse Representation of Brain Activity Patterns in Multi-	task	fMRI Data
Joint spatial and temporal structure learning for	task	based control
Joint Spectrum Sharing and V2V/V2I	task	Offloading for Vehicular Edge Computing Networks Based on Coalition Formation Game
Joint	task	Offloading and Resource Allocation for Fog-Based Intelligent Transportation Systems: A UAV-Enabled Multi-Hop Collaboration Paradigm
Joint	task	Offloading and Resource Allocation for Vehicular Edge Computing Based on V2I and V2V Modes
Joint	task	Offloading, Resource Allocation, and Security Assurance for Mobile Edge Computing-Enabled UAV-Assisted VANETs
Joint	task	-Recursive Learning for RGB-D Scene Understanding
Joint	task	-Recursive Learning for Semantic Segmentation and Depth Estimation
Joint Video Summarization and Moment Localization by Cross-	task	Sample Transfer
Joint-Confidence-Guided Multi-	task	Learning for 3D Reconstruction and Understanding From Monocular Camera
Joint-	task	Regularization for Partially Labeled Multi-Task Learning
Joint-	task	Regularization for Partially Labeled Multi-Task Learning
Jointly Recognizing Object Fluents and	task	s in Egocentric Videos
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-	task	Pointwise Networks and Multi-Value Conditional Random Fields
JSPNet: Learning joint semantic and instance segmentation of point clouds via feature self-similarity and cross-	task	probability
Knowing Where I Am: Exploiting Multi-	task	Learning for Multi-view Indoor Image-based Localization
Knowledge Base Driven	task	-Oriented Image Semantic Communication Scheme, A
Knowledge-Guided Multi-	task	Network for Remote Sensing Imagery
KPTFusion: Knowledge Prior-based	task	-Driven Multimodal Image Fusion
KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding	task	s
KSM: Fast Multiple	task	Adaption via Kernel-wise Soft Mask Learning
L2,1-l1 regularized nonlinear multi-	task	representation learning based cognitive performance prediction of Alzheimer's disease
Language Adaptive Weight Generation for Multi-	task	Visual Grounding
Language Features Matter: Effective Language Representations for Vision-Language	task	s
Large Margin Multi-Modal Multi-	task	Feature Extraction for Image Classification
Large Vision-Language Models are Generalist Solvers For Pathology	task	s
Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval	task	s with Deep Neural Networks, A
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition	task	s
Large-Scale Multiobjective Vehicle	task	Offloading Optimization Based on Cloud-Edge-End Collaboration for 6G Enabled Transport Systems
Large-Scale Rice Mapping Using Multi-	task	Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series
Large-small model collaboration for medical visual question answering with	task	aware mixture of experts and relation knowledge distillation
Latent	task	Adaptation with Large-Scale Hierarchies
Latent-Space Scalability for Multi-	task	Collaborative Intelligence
LCASAFormer: Cross-attention enhanced backbone network for 3D point cloud	task	s
LD-Pruner: Efficient Pruning of Latent Diffusion Models using	task	-Agnostic Insights
Learn2Reg: Comprehensive Multi-	task	Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
Learned Hybrid Video Coding for Human Perception and Multiple Machine Vision	task	s
Learning a	task	-Specific Descriptor for Robust Matching of 3D Point Clouds
Learning Across	task	s and Domains
Learning Across	task	s for Zero-Shot Domain Adaptation From a Single Source Domain
Learning an Evolved Mixture Model for	task	-Free Continual Learning
Learning by Correction: Efficient Tuning	task	for Zero-Shot Generative Vision-Language Reasoning
Learning by Watching: Extracting Reusable	task	Knowledge from Visual Observation of Human Performance
Learning cross-	task	relations for panoptic driving perception
Learning Deep Features for Multiple Object Tracking by Using a Multi-	task	Learning Strategy
Learning deep features for	task	-independent EEG-based biometric verification
Learning Everyday Manipulation	task	s from Observation
Learning Frequency-Specific Quantization Scaling in VVC for Standard-Compliant	task	-Driven Image Coding
Learning from History:	task	-agnostic Model Contrastive Learning for Image Restoration
Learning From Visual Demonstrations via Replayed	task	-Contrastive Model-Agnostic Meta-Learning
Learning Geographically Distributed Data for Multiple	task	s Using Generative Adversarial Networks
Learning Good Features to Transfer Across	task	s and Domains
Learning Human Priors for	task	-Constrained Grasping
Learning Instance and	task	-Aware Dynamic Kernels for Few-Shot Learning
Learning Light Field Synthesis with Multi-Plane Images: Scene Encoding as a Recurrent Segmentation	task
Learning Local Features by Jointly Semantic-Guided and	task	Rewards
Learning Multi-	task	Correlation Particle Filters for Visual Tracking
Learning Multi-	task	Target-Specific Correlation Filters for Robust Tracking
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval	task	s
Learning Multiple Dense Prediction	task	s from Partially Annotated Data
Learning Multiple Pixelwise	task	s Based on Loss Scale Balancing
Learning multiple visual	task	s while discovering their structure
Learning On-Road Visual Control for Self-Driving Vehicles With Auxiliary	task	s
Learning open loop control of complex motor	task	s
Learning Optimized Low-Light Image Enhancement for Edge Vision	task	s
Learning robot	task	s with loops from experiences to enhance robot adaptability
Learning Scene Structure Guidance via Cross-	task	Knowledge Transfer for Single Depth Super-Resolution
Learning subsequential transducers for pattern recognition interpretation	task	s
Learning	task	-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex
Learning	task	-Preferred Inference Routes for Gradient De-Conflict in Multi-Output DNNs
Learning	task	-Specific Generalized Convolutions in the Permutohedral Lattice
Learning	task	-Specific Object Recognition and Scene Understanding
Learning temporal structure for	task	based control
Learning to Forget for Meta-Learning via	task	-and-Layer-Wise Attenuation
Learning to Learn and Remember Super Long Multi-Domain	task	Sequence
Learning to Learn	task	-Adaptive Hyperparameters for Few-Shot Learning
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown	task	s
Learning to Perform Visual	task	s from Human Demonstrations
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With	task	Loss
Learning to Resize Images for Computer Vision	task	s
Learning to Scale Multilingual Representations for Vision-Language	task	s
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-	task	learning with adaptive weight selection
Learning to Share Latent	task	s for Action Recognition
Learning to Transfer: Transferring Latent	task	Structures and Its Application to Person-Specific Facial Action Unit Detection
Learning to Translate Between Real World and Simulated 3D Sensors While Transferring	task	Models
Learning Trajectory-Word Alignments for Video-Language	task	s
Learning Two-Branch Neural Networks for Image-Text Matching	task	s
Learning with Privileged	task	s
Learning With Style: Continual Semantic Segmentation Across	task	s and Domains
Learning-Based Intent-Aware	task	Offloading for Air-Ground Integrated Vehicular Edge Computing
Lemma: A Multi-view Dataset for Learning Multi-agent Multi-	task	Activities
LeSkill: Structured Skill Learning for Long-Horizon Robotic Manipulation	task	s
Less is More: Efficient Model Merging with Binary	task	Switch
Less is More: Reducing	task	and Model Complexity for 3D Point Cloud Semantic Segmentation
Let me show you how it's done: Cross-modal knowledge distillation as pretext	task	for semantic segmentation
Let Them Choose What They Want: A Multi-	task	CNN Architecture Leveraging Mid-Level Deep Representations for Face Attribute Classification
Leveraging Auxiliary	task	s with Affinity Learning for Weakly Supervised Semantic Segmentation
Leveraging Crowdsourced Data for Creating Temporal Segmentation Ground Truths of Subjective	task	s
Leveraging Deep Reinforcement Learning for Reaching Robotic	task	s
Leveraging Heterogeneous Auxiliary	task	s to Assist Crowd Counting
Leveraging multiple	task	s to regularize fine-grained classification
Leveraging Pre-trained Multi-	task	Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis in-the-Wild
Leveraging Road Area Semantic Segmentation with Auxiliary Steering	task
Leveraging	task	-Specific Pre-Training to Reason across Images and Videos
Leveraging Vision Language Models for Specialized Agricultural	task	s
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-	task	Perception Network for Autonomous Driving
Lifelong CycleGAN for continual multi-	task	image restoration
Lifelong Learning for Text Steganalysis Based on Chronological	task	Sequence
Lifelong Learning of	task	-Parameter Relationships for Knowledge Transfer
Light Dual-	task	Neural Network for Haze Removal, A
Line Smoothing Method of Hand-Drawn Strokes Using Adaptive Moving Average for Illustration Tracing	task	s, A
Linear Multi-	task	Learning for Predicting Soil Properties Using Field Spectroscopy
Linguistically-aware attention for reducing the semantic gap in vision-language	task	s
LiSD: An Efficient Multi-	task	Learning Framework for Lidar Segmentation and Detection
Load Balancing Requirement In Parallel Implementations Of Image Feature Extraction	task	s
Local Knowledge and Professional Background Have a Minimal Impact on Volunteer Citizen Science Performance in a Land-Cover Classification	task
Locality-Constrained Multi-	task	Joint Sparse Representation for Image Classification
Localize Me Anywhere, Anytime: A Multi-	task	Point-Retrieval Approach
Location-Aware Reliable	task	Cooperative-Computation Scheme Under Fog Computing-Based IoVs
Log-polar mapping template design: From	task	-level requirements to geometry parameters
LoME: LoRA-Driven Multimodal Extractor for RGB-X Vision	task	s
Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With	task	-Driven Training
lower bound on the sample size needed to perform a significant frequent pattern mining	task	, A
LTA-PCS: Learnable	task	-Agnostic Point Cloud Sampling
m&m's: A Benchmark to Evaluate Tool-use for multi-step multi-modal	task	s
MA-MNN: Multi-flow attentive memristive neural network for multi-	task	image restoration
Macaron Attention: The Local Squeezing Global Attention Mechanism in Tracking	task	s
machine learning approach for image retrieval	task	s, A
Machine Vision for Industry:	task	s, Tools, and Techniques
MADRL-Based URLLC-Aware	task	Offloading for Air-Ground Vehicular Cooperative Computing Network
MAGIC of E-Health: A Gesture-Based Approach to Estimate Understanding and Performance in Remote Ultrasound	task	s, The
Managing Full Waveform LIDAR Data: A Challenging	task	for the Forthcoming Years
Managing Time-Sensitive IoT Applications via Dynamic Application	task	Distribution and Adaptation
Mancs: A Multi-	task	Attentional Network with Curriculum Sampling for Person Re-Identification
Manigaussian: Dynamic Gaussian Splatting for Multi-	task	Robotic Manipulation
Manipulative Hand Gesture Recognition Using	task	Knowledge for Human Computer Interaction
Many Hands Make Light Work: Transferring Knowledge from Auxiliary	task	s for Video-Text Retrieval
Many	task	Learning With Task Routing
Many	task	Learning With Task Routing
Many-	task	Federated Learning: A New Problem Setting and A Simple Baseline
Mapping Computer-Vision-Related	task	s onto Reconfigurable Parallel-Processing Systems
MAS: Towards Resource-Efficient Federated Multiple-	task	Learning
Masked AutoDecoder is Effective Multi-	task	Vision Generalist
Matching the	task	to an Image Processing Architecture
MATIP: A dynamic hardware	task	integration platform for Multiprocessing Reconfigurable System on Chip
MATTE: Multi-	task	multi-scale attention
MAXGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-noise Ratio for Multi-	task	Learning
Maximum Likelihood Method for Estimating Performance in a Rapid Serial Visual Presentation Target-Detection	task	, A
Mbnet: A Multi-	task	Deep Neural Network for Semantic Segmentation and Lumbar Vertebra Inspection on X-ray Images
MCLA	task	Offloading Framework for 5G-NR-V2X-Based Heterogeneous VECNs
MCMT-GAN: Multi-	task	Coherent Modality Transferable GAN for 3D Brain Image Synthesis
MDA: Multimodal Data Augmentation Framework for Boosting Performance on Sentiment/Emotion Classification	task	s
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs	task
Measuring the Effectiveness of	task	-Level Parallelism for High-Level Vision
Measuring the Quality of Annotations for a Subjective Crowdsourcing	task
Mecformer: Multi-	task	Whole Slide Image Classification with Expert Consultation Network
Medrat: Unpaired Medical Report Generation via Auxiliary	task	s
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation	task	using Discrete Visual Representations
memory-augmented multi-	task	collaborative framework for unsupervised traffic anomaly detection in driving videos, A
Meta-Analysis of Vibrotactile and Visual Information Displays for Improving	task	Performance, A
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary	task	Distributions
Meta-Learning with	task	-Adaptive Loss Function for Few-Shot Learning
Meta-Learning With	task	-Adaptive Selection
Meta-sampler: Almost-Universal yet	task	-Oriented Sampling for Point Clouds
Meta-Transfer Learning Through Hard	task	s
Metaat: Active Testing for Label-efficient Evaluation of Dense Recognition	task	s
MetAdapt: Meta-learned	task	-adaptive architecture for few-shot classification
Method of Automatic Sensor Placement for Robot Vision in Inspection	task	s, A
Method to Analyze Correlations between Multiple Brain Imaging	task	s to Characterize Schizophrenia, A
Methodology for Evaluation of	task	-Performance in Robotic Systems: A Case-Study in Vision-Based Localization, A
Metric Learning for Multi-Output	task	s
Metric-Based Regularization and Temporal Ensemble for Multi-	task	Learning using Heterogeneous Unsupervised Tasks
Metric-Based Regularization and Temporal Ensemble for Multi-	task	Learning using Heterogeneous Unsupervised Tasks
Micrant: Towards Regression	task	Oriented Annotation Tool for Microscopic Images
MILA: Multi-	task	Learning from Videos via Efficient Inter-Frame Attention
Mimic In-Context Learning for Multimodal	task	s
Minimizing dataset bias: Discriminative multi-	task	sparse coding through shared subspace learning for image classification
Mining Novice User Activity with TRECVID Interactive Retrieval	task	s
mining scene understanding framework with limited labeled samples jointly driven by object-level spatial relationships and multi-	task	network, A
Mirror U-Net: Marrying Multimodal Fission with Multi-	task	Learning for Semantic Segmentation in Medical Imaging
Mitigating Bias in Gender, Age and Ethnicity Classification: A Multi-	task	Convolution Neural Network Approach
Mitigating Knowledge Discrepancies among Multiple Datasets for	task	-agnostic Unified Face Alignment
Mitigating Search Interference With	task	-Aware Nested Search
Mitigating	task	Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Mitigating	task	Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Mitigating	task	Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Mitigating	task	randomness in graph few-shot learning
Mixed Reality Training of Military	task	s: Comparison of Two Approaches Through Reactions from Subject Matter Experts
MLGNet: Multi-	task	Learning Network with Attention-Guided Mechanism for Segmenting Agricultural Fields
MLR-SNet: Transferable LR Schedules for Heterogeneous	task	s
MLVU: Benchmarking Multi-	task	Long Video Understanding
MMEARTH: Exploring Multi-modal Pretext	task	s for Geospatial Representation Learning
MMMNet: An End-to-End Multi-	task	Deep Convolution Neural Network With Multi-Scale and Multi-Hierarchy Fusion for Blind Image Quality Assessment
MMTL-UniAD: A Unified Framework for Multimodal and Multi-	task	Learning in Assistive Driving Perception
MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between	task	s from Different Datasets
MobileDeRainGAN: An Efficient Semi-Supervised Approach to Single Image Rain Removal for	task	-Driven Applications
Mobility and Deadline-Aware	task	Scheduling Mechanism for Vehicular Edge Computing
Mobility-Aware Multi-Hop	task	Offloading for Autonomous Driving in Vehicular Edge Computing and Networks
MOCAS: A Multimodal Dataset for Objective Cognitive Workload Assessment on Simultaneous	task	s
Mod-Squad: Designing Mixtures of Experts As Modular Multi-	task	Learners
Model Breadcrumbs: Scaling Multi-	task	Model Merging with Sparse Masks
model generation method for object recognition	task	by pictorial examples, A
Model-Based Analysis and Classification of Driver Distraction Under Secondary	task	s
Model-Protected Multi-	task	Learning
Modeling Inner- and Cross-	task	Contrastive Relations for Continual Image Classification
Modeling Multiple Normal Action Representations for Error Detection in Procedural	task	s
Modeling Prosodic Phrasing With Multi-	task	Learning in Tacotron-Based TTS
Modeling Sensor Confidence for Sensor Integration	task	s
Modeling Shared Control System Between Human Pilot and Autopilot for a Carrier-Based Aircraft Landing	task
Modeling	task	fMRI Data Via Deep Convolutional Autoencoder
Modulation Module for Multi-	task	Learning with Applications in Image Retrieval, A
MOE-DIFFIR:	task	-customized Diffusion Priors for Universal Compressed Image Restoration
Monitoring An Assembly	task	By Perception Requests
Motion Understanding:	task	-Directed Attention and Representations that Link Perception with Action
Move and remove: Multi-	task	learning for building simplification in vector maps with a graph convolutional neural network
Movement-flow-based visual servoing and force control fusion for Manipulation	task	s in unstructured environments
MPM-Net: Multi-	task	interactive network with progressive multi-granularity learning for herbal medicine recognition
MQANet: Multi-	task	Quadruple Attention Network of Multi-Object Semantic Segmentation from Remote Sensing Images
MRLReID: Unconstrained Cross-Resolution Person Re-Identification With Multi-	task	Resolution Learning
MSNet: Multi-	task	self-supervised network for time series classification
MT-CooL: Multi-	task	Cooperative Learning via Flat Minima Searching
MT-emotieffnet for Multi-	task	Human Affective Behavior Analysis and Learning from Synthetic Data
MT-GN: Multi-	task	-Learning-Based Graph Residual Network for Tropical Cyclone Intensity Estimation
MT-ORL: Multi-	task	Occlusion Relationship Learning
MT-STNet: A Novel Multi-	task	Spatiotemporal Network for Highway Traffic Flow Prediction
MT-UNET: A Novel U-Net Based Multi-	task	Architecture For Visual Scene Understanding
MTADA: A Multi-	task	Adversarial Domain Adaptation Network for EEG-Based Cross-Subject Emotion Recognition
MTANet: Multi-	task	Attention Network for Automatic Medical Image Segmentation and Classification
MtArtGPT: A Multi-	task	Art Generation System With Pre-Trained Transformer
MTCNet: Multi-	task	collaboration network for rotation-invariance face detection
MTD-Net: A robust multi-	task	discriminative network for choroidal neovascularization segmentation
MTD-YOLO: A Multi-Scale Perception Framework with	task	Decoupling and Dynamic Alignment for UAV Small Object Detection
Mtevent: a Multi-	task	Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
MTFormer: Multi-	task	Learning via Transformer and Cross-Task Reasoning
MTFormer: Multi-	task	Learning via Transformer and Cross-Task Reasoning
MTGLS: Multi-	task	Gaze Estimation with Limited Supervision
Mti-net: Multi-scale	task	Interaction Networks for Multi-task Learning
Mti-net: Multi-scale	task	Interaction Networks for Multi-task Learning
MTJND: Multi-	task	Deep Learning Framework for Improved JND Prediction
MTL-NAS:	task	-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning
MTL-NAS:	task	-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning
MTLMetro: A Deep Multi-	task	Learning Model for Metro Passenger Demands Prediction
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-	task	Learning
MTLSegFormer: Multi-	task	Learning with Transformers for Semantic Segmentation in Precision Agriculture
MTMamba++: Enhancing Multi-	task	Dense Scene Understanding via Mamba-Based Decoders
MTMAMBA: Enhancing Multi-	task	Dense Scene Understanding by Mamba-based Decoders
MTMSN: Multi-	task	and Multi-Modal Sequence Network for Facial Action Unit and Expression Recognition
MTMVC: Semi-supervised 3D hand pose estimation using multi-	task	and multi-view consistency
Mtnas: Search Multi-	task	Networks for Autonomous Driving
MtpNet: Multi-	task	Panoptic Driving Perception Network
MTW-DETR: A multi-	task	collaborative optimization model for adverse weather object detection
Multi	task	-Based Facial Expression Synthesis with Supervision Learning and Feature Disentanglement of Image Style
multi-agent curiosity reward model for	task	-oriented dialogue systems, A
Multi-Agent Federated DRL Model for Vehicular	task	Offloading in WPT-Aided eROAD Environment, A
Multi-camera positioning to optimize	task	observability
Multi-Category Image Super-Resolution with Convolutional Neural Network and Multi-	task	Learning
Multi-Centroid	task	Descriptor for Dynamic Class Incremental Inference
Multi-dataset fusion for multi-	task	learning on face attribute recognition
Multi-Dataset, Multi	task	Learning of Egocentric Vision Tasks
Multi-Dimensional and Multi-	task	Facial Expression Recognition for Academic Outcomes Prediction
Multi-Domain and Multi-	task	Learning for Human Action Recognition
Multi-Expert Adaptive Selection:	task	-Balancing for All-in-One Image Restoration
Multi-Focus Image Fusion Algorithm Based on Multi-	task	Learning and PS-ViT
Multi-Instance Multi-	task	Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images
Multi-Label Multi-	task	Deep Learning for Behavioral Coding
Multi-Label Nonlinear Matrix Completion With Transductive Multi-	task	Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas
Multi-Layer	task	Offloading Scheme in Fog Computing-Based VANETs With Optimized Completion Delay
Multi-level network Lasso for multi-	task	personalized learning
Multi-Local-	task	Learning with Global Regularization for Object Tracking
Multi-Mission Oriented Joint Optimization of	task	Assignment and Flight Path Planning for Heterogeneous UAV Cluster
Multi-Modal Interface for Road Planning	task	s Using Vision, Haptics and Sound, A
Multi-Modal Meta Multi-	task	Learning for Social Media Rumor Detection
Multi-Modality Multi-	task	Recurrent Neural Network for Online Action Detection
Multi-Objective Dependent	task	Scheduling, Resource Allocation, and Service Caching in Aerial-Ground Integrated MEC
Multi-Objective Modeling Method of Multi-Satellite Imaging	task	Planning for Large Regional Mapping, A
Multi-Objective Multi-Picking-Robot	task	Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm
Multi-Organ Foundation Model for Universal Ultrasound Image Segmentation With	task	Prompt and Anatomical Prior
Multi-Satellite Imaging	task	Planning for Large Regional Coverage: A Heuristic Algorithm Based on Triple Grids Method
Multi-satellite Scheduling Approach For Dynamic Areal	task	s Triggered By Emergent Disasters
Multi-Scale Adaptive	task	Attention Network for Few-Shot Learning
Multi-Scale and Multi-	task	Deep Learning Framework for Automatic Road Extraction
Multi-scale feature fusion with	task	-specific data synthesis for pneumonia pathogen classification
Multi-scale Multi-	task	Distillation for Incremental 3d Medical Image Segmentation
Multi-scale	task	-aware structure graph modeling for few-shot image recognition
Multi-skill aware	task	assignment in real-time spatial crowdsourcing
Multi-Subset Selection for Keyword Extraction and Other Prototype Search	task	s Using Feature Selection Algorithms
Multi-	task	Adapters for On-Device Audio Inference
Multi-	task	Adversarial Network for Disentangled Feature Learning
Multi-	task	Affinity Propagation Based Natural Image Matting
Multi-	task	and multi-kernel Gaussian process dynamical systems
Multi-	task	B-Cos Networks for Near Real-Time Interpretable Person ReID
Multi-	task	based object tracking via a collaborative model
Multi-	task	Bayesian Compressive Sensing Exploiting Intra-Task Dependency
Multi-	task	Bayesian Compressive Sensing Exploiting Intra-Task Dependency
Multi-	task	Bayesian Deep Neural Net for Detecting Life-Threatening Infant Incidents From Head Images, A
Multi-	task	Cascaded Network for Prediction of Affect, Personality, Mood and Social Context Using EEG Signals, A
Multi-	task	Center-of-Pressure Metrics Estimation With Graph Convolutional Network
Multi-	task	cGAN for Simultaneous Spaceborne DSM Refinement and Roof-Type Classification
Multi-	task	Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
Multi-	task	Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
Multi-	task	classification with sequential instances and tasks
Multi-	task	classification with sequential instances and tasks
Multi-	task	Clustering of Human Actions by Sharing Information
Multi-	task	clustering via domain adaptation
Multi-	task	CNN for Maritime Target Detection, A
Multi-	task	CNN for restoring corrupted fingerprint images
Multi-	task	CNN Model for Attribute Prediction
Multi-	task	co-clustering via nonnegative matrix factorization
Multi-	task	Collaboration Deep Learning Framework for Infrared Precipitation Estimation
Multi-	task	Collaborative Network for Joint Referring Expression Comprehension and Segmentation
Multi-	task	Collaborative Network for Light Field Salient Object Detection, A
Multi-	task	Comparator Framework for Kinship Verification, A
Multi-	task	Compositional Network for Visual Relationship Detection
Multi-	task	Consistency Enhancement Network for Semantic Change Detection in HR Remote Sensing Images and Application of Non-Agriculturalization, A
Multi-	task	Consistency for Active Learning
Multi-	task	Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval
Multi-	task	Contextual Atrous Residual Network for Brain Tumor Detection Segmentation, A
Multi-	task	contrastive learning for automatic CT and X-ray diagnosis of COVID-19
Multi-	task	convolution neural network-based lifting scheme for image compression
Multi-	task	Convolution Operators with Object Detection for Visual Tracking
Multi-	task	Convolutional Neural Network for Blind Stereoscopic Image Quality Assessment Using Naturalness Analysis, A
Multi-	task	Convolutional Neural Network for Joint Iris Detection and Presentation Attack Detection, A
Multi-	task	Convolutional Neural Network for Patient Detection and Skin Segmentation in Continuous Non-Contact Vital Sign Monitoring
Multi-	task	Convolutional Neural Network for Pose-Invariant Face Recognition
Multi-	task	Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-Phasic CT Images, A
Multi-	task	Convolutional Neural Network Relative Radiometric Calibration Based on Temporal Information, A
multi-	task	convolutional neural network with spatial transform for parking space detection, A
Multi-	task	Correlation Particle Filter for Robust Object Tracking
Multi-	task	Curriculum Framework for Open-set Semi-supervised Learning
Multi-	task	Curriculum Transfer Deep Learning of Clothing Attributes
Multi-	task	Deep Dual Correlation Filters for Visual Tracking
Multi-	task	Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation
Multi-	task	Deep Learning for Image Segmentation Using Recursive Approximation Tasks
Multi-	task	Deep Learning for Image Segmentation Using Recursive Approximation Tasks
Multi-	task	Deep Learning for No-reference Screen Content Image Quality Assessment
Multi-	task	Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
Multi-	task	Deep Learning Methods for Determining Railway Major Technical Standards
Multi-	task	deep learning with optical flow features for self-driving cars
Multi-	task	Deep Model With Margin Ranking Loss for Lung Nodule Analysis
Multi-	task	Deep Neural Network for Multi-Label Learning
Multi-	task	Deep Relative Attribute Learning for Visual Urban Perception
Multi-	task	deep visual-semantic embedding for video thumbnail selection
Multi-	task	Dense Prediction via Mixture of Low-Rank Experts
Multi-	task	Diffusion With Masked Measurements
Multi-	task	disagreement-reducing multimodal sentiment fusion network
Multi-	task	Distillation: Towards Mitigating the Negative Transfer in Multi-Task Learning
Multi-	task	Distillation: Towards Mitigating the Negative Transfer in Multi-Task Learning
Multi-	task	Distributed Learning Using Vision Transformer With Random Patch Permutation
Multi-	task	Domain Adaptation for Language Grounding with 3d Objects
Multi-	task	driven explainable diagnosis of COVID-19 using chest X-ray images
Multi-	task	dynamic graph learning for brain disorder identification with functional MRI
Multi-	task	face analyses through adversarial learning
Multi-	task	Facial Activity Patterns Learning for micro-expression recognition using Joint Temporal Local Cube Binary Pattern
Multi-	task	feature learning-based improved supervised descent method for facial landmark detection
Multi-	task	few-shot learning with composed data augmentation for image classification
Multi-	task	Forest for Human Pose Estimation in Depth Images
Multi-	task	framework based on feature separation and reconstruction for cross-modal retrieval
Multi-	task	Framework for Car Detection From High-Resolution UAV Imagery Focusing on Road Regions, A
Multi-	task	fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
multi-	task	fully deep convolutional neural network for contactless fingerprint minutiae extraction, A
Multi-	task	Fusion Deep Learning Model for Short-Term Intersection Operation Performance Forecasting
Multi-	task	Fusion for Improving Mammography Screening Data Classification
Multi-	task	Gaussian Process Regression-based Image Super Resolution
Multi-	task	Generative Adversarial Network for Detecting Small Objects in the Wild
Multi-	task	GLOH feature selection for human age estimation
Multi-	task	Guided No-Reference Omnidirectional Image Quality Assessment With Feature Interaction
Multi-	task	Hardwired Accelerator for Face Detection and Alignment, A
Multi-	task	Head Pose Estimation in-the-Wild
Multi-	task	hierarchical convolutional network for visual-semantic cross-modal retrieval
Multi-	task	Hypergraphs for Semi-supervised Learning using Earth Observations
Multi-	task	image classification via collaborative, hierarchical spike-and-slab priors
Multi-	task	image restoration network based on spatial aggregation attention and multi-feature fusion
Multi-	task	image set classification via joint representation with class-level sparsity and intra-task low-rankness
Multi-	task	image set classification via joint representation with class-level sparsity and intra-task low-rankness
Multi-	task	Interaction Learning for Spatiospectral Image Super-Resolution
Multi-	task	Joint Sparse and Low-Rank Representation for the Scene Classification of High-Resolution Remote Sensing Image
Multi-	task	Knowledge Distillation for Eye Disease Prediction
Multi-	task	Layout Analysis of Handwritten Musical Scores
Multi-	task	Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment, A
Multi-	task	Learning Based Traditional Mongolian Words Recognition
Multi-	task	Learning based Video Anomaly Detection with Attention
Multi-	task	Learning By A Top-Down Control Network
Multi-	task	Learning by Maximizing Statistical Dependence
Multi-	task	Learning for 2D Phase Unwrapping in Fringe Projection, A
Multi-	task	Learning for Acoustic Event Detection Using Event and Frame Position Information
Multi-	task	Learning for Blind Source Separation
Multi-	task	Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
Multi-	task	learning for captioning images with novel words
Multi-	task	Learning for Dense Prediction Tasks: A Survey
Multi-	task	Learning for Dense Prediction Tasks: A Survey
Multi-	task	learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network
Multi-	task	Learning for Hierarchical Professional Gesture Recognition: State-Space Modeling for Task Temporal Dependencies
Multi-	task	Learning for Hierarchical Professional Gesture Recognition: State-Space Modeling for Task Temporal Dependencies
Multi-	task	Learning for Human Affect Prediction with Auditory-Visual Synchronized Representation
Multi-	task	Learning for Motion Analysis and Segmentation in 3D Echocardiography
Multi-	task	learning for natural language processing in the 2020s: Where are we going?
Multi-	task	learning for object keypoints detection and classification
Multi-	task	Learning for Ocean-Front Detection and Evolutionary Trend Recognition
Multi-	task	learning for one-class SVM with additional new features
Multi-	task	Learning for Predicting Parkinson's Disease Based on Medical Imaging Information
Multi-	task	Learning for Segmentation of Building Footprints with Deep Neural Networks
Multi-	task	Learning for Ship Trajectory Prediction and Motion Planning via Node Relationship Modeling
Multi-	task	learning for simultaneous script identification and keyword spotting in document images
Multi-	task	Learning for Simultaneous Video Generation and Remote Photoplethysmography Estimation
Multi-	task	Learning for Supervised and Unsupervised Classification of Grocery Images
Multi-	task	Learning for UAV Aerial Object Detection in Foggy Weather Condition
Multi-	task	learning for video anomaly detection
Multi-	task	Learning for Video Surveillance with Limited Data
multi-	task	learning framework for dual-polarization SAR imagery despeckling in temporal change detection scenarios, A
Multi-	task	Learning Framework for Emotion Recognition In-the-wild
Multi-	task	Learning Framework for Emotion Recognition Using 2D Continuous Space, A
Multi-	task	Learning Framework for Head Pose Estimation under Target Motion, A
Multi-	task	Learning Framework for Joint Disease Risk Prediction and Comorbidity Discovery, A
Multi-	task	Learning Framework for Motion Estimation and Dynamic Scene Deblurring
Multi-	task	Learning Framework with Enhanced Cross-Level Semantic Consistency for Multi-Level Land Cover Classification, A
multi-	task	learning method for extraction of newly constructed areas based on bi-temporal hyperspectral images, A
Multi-	task	Learning Model for V-PCC Geometry Compression Artifact Removal
Multi-	task	Learning Network for Medical Image Analysis Guided by Lesion Regions and Spatial Relationships of Tissues
Multi-	task	Learning Network With a Collision-Aware Graph Transformer for Traffic-Agents Trajectory Prediction, A
Multi-	task	Learning of Cascaded CNN for Facial Attribute Classification
Multi-	task	Learning of Classification and Generation for Set-structured Data
Multi-	task	Learning of Depth from Tele and Wide Stereo Image Pairs
Multi-	task	Learning of Emotion Recognition and Facial Action Unit Detection with Adaptively Weights Sharing Network
Multi-	task	Learning of Facial Landmarks and Expression
Multi-	task	Learning of Hierarchical Vision-Language Representation
Multi-	task	Learning of Object States and State-Modifying Actions From Web Videos
Multi-	task	Learning of Relative Height Estimation and Semantic Segmentation from Single Airborne RGB Images
multi-	task	learning strategy for unsupervised clustering via explicitly separating the commonality, A
Multi-	task	learning to rank for web search
Multi-	task	learning using GNet features and SVM classifier for signature identification
Multi-	task	Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections
Multi-	task	Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Multi-	task	learning using variational auto-encoder for sentiment classification
Multi-	task	Learning via Non-sparse Multiple Kernel Learning
Multi-	task	Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head
Multi-	task	Learning with Attention for End-to-end Autonomous Driving
Multi-	task	Learning With Coarse Priors for Robust Part-Aware Person Re-Identification
Multi-	task	Learning with Compressible Features for Collaborative Intelligence
Multi-	task	learning with deformable convolution
Multi-	task	Learning with Future States for Vision-based Autonomous Driving
Multi-	task	Learning with Knowledge Distillation for Dense Prediction
Multi-	task	Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification
Multi-	task	Learning with Low Rank Attribute Embedding for Person Re-Identification
Multi-	task	Learning with Multi-Query Transformer for Dense Prediction
Multi-	task	learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition
Multi-	task	Learning, Multiple Tasks, Transfer Learning, Domain Adaption
Multi-	task	Learning, Multiple Tasks, Transfer Learning, Domain Adaption
Multi-	task	Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance
Multi-	task	linear discriminant analysis for multi-view action recognition
Multi-	task	low-rank affinity pursuit for image segmentation
Multi-	task	low-rank and sparse matrix recovery for human motion segmentation
Multi-	task	Lycium barbarum Recognition and Pedicel Localization Network Based on Improved YOLOv8
Multi-	task	Matrix Factorized Graph Neural Network for Co-Prediction of Zone-Based and OD-Based Ride-Hailing Demand, A
Multi-	task	Mean Teacher for Semi-supervised Facial Affective Behavior Analysis, A
Multi-	task	Mean Teacher for Semi-Supervised Shadow Detection, A
Multi-	task	meta label correction for time series prediction
Multi-	task	Micro-expression Recognition Combining Deep and Handcrafted Features
Multi-	task	mid-level feature learning for micro-expression recognition
Multi-	task	Mixture-of-Experts Model for Underwater Target Localization and Recognition
Multi-	task	Model Based on Vision Task Level for Saliency Object Detection in Foggy Conditions
Multi-	task	Model Based on Vision Task Level for Saliency Object Detection in Foggy Conditions
Multi-	task	Model for Comic Book Image Analysis
Multi-	task	Momentum Distillation for Multimodal Sentiment Analysis
Multi-	task	Multi-Domain Learning for Digital Staining and Classification of Leukocytes
Multi-	task	Multi-Modal Self-Supervised Learning for Facial Expression Recognition
Multi-	task	Multi-modal Semantic Hashing for Web Image Retrieval with Limited Supervision
Multi-	task	Multi-Sample Learning
Multi-	task	Multi-Sensor Fusion for 3D Object Detection
Multi-	task	Multi-Stage Transitional Training Framework for Neural Chat Translation, A
Multi-	task	Multi-view based Multi-objective Clustering Algorithm, A
Multi-	task	multimodal feature refinement for emotional speech animation
Multi-	task	multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals
Multi-	task	Network for Joint Specular Highlight Detection and Removal, A
multi-	task	network for speaker and command recognition in industrial environments, A
Multi-	task	Network Guided by Ultrasound Features for Predicting BRAFV600E Mutation Status in Thyroid Ultrasound Images
Multi-	task	Network with Distance-Mask-Boundary Consistency Constraints for Building Extraction from Aerial Images, A
Multi-	task	Network With Dynamic Segmentation for Sea Ice Classification in Arctic Shipping Route Optimization, A
Multi-	task	network with inter-task consistency learning for face parsing and facial expression recognition at real-time speed
Multi-	task	network with inter-task consistency learning for face parsing and facial expression recognition at real-time speed
Multi-	task	Neural Approach for Emotion Attribution, Classification, and Summarization, A
Multi-	task	Neural Network for Action Recognition with 3D Key-Points, A
Multi-	task	Nonnegative Matrix Factorization
Multi-	task	Occlusion Learning for Real-Time Visual Object Tracking
Multi-	task	OCTA image segmentation with innovative dimension compression
Multi-	task	Paired Masking With Alignment Modeling for Medical Vision-Language Pre-Training
Multi-	task	Pose-Invariant Face Recognition
Multi-	task	Probabilistic Regression with Overlap Maximization for Visual Tracking
Multi-	task	proximal support vector machine
Multi-	task	Rank Learning for Image Quality Assessment
Multi-	task	Rank Learning for Visual Saliency Estimation
Multi-	task	Recurrent Neural Network for Immediacy Prediction
Multi-	task	Relative Attribute Prediction by Incorporating Local Context and Global Style Information
Multi-	task	Scheduling Decision-Making Approach for SAEV Fleets: Integrating Stochastic Demand and Long-Term Benefit, A
Multi-	task	SE-Network for Image Splicing Localization
Multi-	task	Self-Supervised Object Detection via Recycling of Bounding Box Annotations
Multi-	task	Self-Supervised Visual Learning
Multi-	task	Self-Training for Learning General Representations
Multi-	task	Semantic Segmentation Network for Threat Detection in X-Ray Security Images, A
Multi-	task	Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition
Multi-	task	semi-supervised crowd counting via global to local self-correction
Multi-	task	Siamese Network for Retinal Artery/Vein Separation via Deep Convolution Along Vessel
Multi-	task	signal recovery by higher level hyper-parameter sharing
Multi-	task	Sparse Learning with Beta Process Prior for Action Recognition
Multi-	task	Spatiotemporal Neural Networks for Structured Surface Reconstruction
Multi-	task	Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking
Multi-	task	Supervised Compression Model for Split Computing, A
Multi-	task	Transfer Methods to Improve One-Shot Learning for Multimedia Event Detection
Multi-	task	Travel Route Planning With a Flexible Deep Learning Framework
Multi-	task	Vehicle Detection With Region-of-Interest Voting
Multi-	task	View Synthesis with Neural Radiance Fields
Multi-	task	visual food recognition by integrating an ontology supported with LLM
Multi-	task	Visual Perception for Object Detection and Semantic Segmentation in Intelligent Driving
Multi-	task	warped Gaussian process for personalized age estimation
Multi-	task	WaveRNN With an Integrated Architecture for Cross-Lingual Voice Conversion
Multi-	task	Y-Shaped Graph Neural Network for Point Cloud Learning in Autonomous Driving
Multi-	task	Zero-Shot Action Recognition with Prioritised Data Augmentation
Multi-view	task	-driven recognition in visual sensor networks
Multi-view visual speech recognition based on multi	task	learning
MultiFire20K: A semi-supervised enhanced large-scale UAV-based benchmark for advancing multi-	task	learning in fire monitoring
MULTIFLOW: Shifting Towards	task	-Agnostic Vision-Language Pruning
Multilevel Vision Based Spatial Reasoning for Robotic	task	s
MultiMAE Meets Earth Observation: Pre-Training Multi-Modal Multi-	task	Masked Autoencoders for Earth Observation Tasks
MultiMAE Meets Earth Observation: Pre-Training Multi-Modal Multi-	task	Masked Autoencoders for Earth Observation Tasks
MultiMAE: Multi-modal Multi-	task	Masked Autoencoders
Multimodal and Multi-	task	Audio-Visual Vehicle Detection and Classification
Multimodal Assessment of Expertise in AR-Guided Psychomotor	task	s
Multimodal Deep Sparse Subspace Clustering for Multiple Stimuli-based Cognitive	task
Multimodal Localization Distillation Method for 3D Single Object Tracking	task	in Intelligent Transportation Systems
Multimodal Personality Recognition in Collaborative Goal-Oriented	task	s
Multimodal	task	-Driven Dictionary Learning for Image Classification
MultiNet: Multi-Modal Multi-	task	Learning for Autonomous Driving
MultiPanoWise: holistic deep architecture for multi-	task	dense prediction from a single panoramic image
Multiple metric learning with query adaptive weights and multi-	task	re-weighting for person re-identification
Multiple object tracking based on multi-	task	learning with strip attention
Multiple Object Tracking of Drone Videos by a Temporal-Association Network with Separated-	task	s Structure
Multiple-Solution Optimization Strategy for Multirobot	task	Allocation
Multiscale	task	-Decoupled Oriented SAR Ship Detection Network Based on Size-Aware Balanced Strategy
Multisensor Interface to Improve the Learning Experience in Arc Welding Training	task	s, A
Multisubject	task	-Related fMRI Data Processing via a Two-Stage Generalized Canonical Correlation Analysis
Multivariate Analysis of Gaze Behavior and	task	Performance Within Interface Design Evaluation
Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple	task	s
Mutual Dual-	task	Generator With Adaptive Attention Fusion for Image Inpainting
Mutual Support of Data Modalities in the	task	of Sign Language Recognition
Mutually Guided Dual-	task	Network for Scene Text Detection
MVANet: Multi-	task	Guided Multi-View Attention Network for Chinese Food Recognition
MVP Sensor Planning System for Robotic Vision	task	s, The
Name Your Colour For the	task	: Artificially Discover Colour Naming via Colour Quantisation Transformer
NASOA: Towards Faster	task	-Oriented Online Fine-Tuning with a Zoo of Models
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
NDDR-CNN: Layerwise Feature Fusing in Multi-	task	CNNs by Neural Discriminative Dimensionality Reduction
NDDR-LCS: A Multi-	task	Learning Method for Classification of Carotid Plaques
Network Collaborative Pruning Method for Hyperspectral Image Classification Based on Evolutionary Multi-	task	Optimization
Network Generalization Prediction for Safety Critical	task	s in Novel Operating Domains
Neural Architecture Search for Dense Prediction	task	s in Computer Vision
Neural	task	Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
Neural	task	Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
Neural	task	Planning With AND-OR Graph Representations
Neural Weight Search for Scalable	task	Incremental Learning
NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery	task	s Using a Dual-Stage Deep Learning Framework
Neuromorphic Architecture for Cortical Multilayer Integration of Early Visual	task	s, A
New Airborne Sensors and Platforms for Solving Specific	task	s In Remote Sensing
New and Fast Algorithm for Estimating the Perimeter of Objects for Industrial Vision	task	s, A
New approaches for colour histogram adaptation in face tracking	task	s
New Cloud-edge-terminal Resources Collaborative Scheduling Framework For Multi-level Visualization	task	s of Large-scale Spatio-temporal Data, A
new data complexity measure for multi-class imbalanced classification	task	s, A
New discretization of total variation functional for image processing	task	s
new framework with multiple	task	s for detecting and locating pain events in video, A
New Insights on Relieving	task	-Recency Bias for Online Class Incremental Learning
New Metrics for Evaluating Performance in Document Analysis	task	s: Application to the Table Case
New Results and Measurements Related to Some	task	s in Object-Oriented Dynamic Image-Coding Using GNN Universal Chips
New Sport Teams Logo Dataset for Detection	task	s, A
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language	task	s
No Matter Where You Are: Flexible Graph-Guided Multi-	task	Learning for Multi-view Head Pose Classification under Target Motion
No-reference stereoscopic image quality assessment using a multi-	task	CNN and registered distortion representation
No-reference	task	performance prediction on distorted LWIR images
Noise Pattern Recognition of Airplanes Taking Off:	task	for a Monitoring System
Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without	task	-Related Data
Non-Archimedean normalized fields in texture analysis	task	s
Non-generative Generalized Zero-shot Learning via	task	-correlated Disentanglement and Controllable Samples Synthesis
Novel Active Vision-Based Visual Threat Cue for Autonomous Navigation	task	s
Novel Contract Theory-Based Incentive Mechanism for Cooperative	task	-Offloading in Electrical Vehicular Networks, A
novel decoder based on Bayesian rules for	task	-driven object segmentation, A
Novel Formulations and Improved Differential Evolution Algorithm for Optimal Lane Reservation With	task	Merging
Novel k-Means Clustering Based	task	Decomposition Method for Distributed Vector-Based CA Models, A
novel learning approach to multiple	task	s based on boosting methodology, A
Novel Multi-	task	Learning for Motion Magnification
NSGA-II Algorithm for	task	Scheduling in UAV-Enabled MEC System, A
NurtureNet: A Multi-	task	Video-based Approach for Newborn Anthropometry
OakInk2: A Dataset of Bimanual Hands-Object Manipulation in Complex	task	Completion
Object Recognition for a Grasping	task	by a Mobile Manipulator
Object sequences: encoding categorical and spatial information for a yes/no visual question answering	task
Object Tracking via Multi-	task	Gaussian-Laplacian Regression
Object- and	task	-Oriented Architecture for Automated Video Surveillance in Distributed Sensor Networks, An
Object-oriented Map Exploration and Construction Based on Auxiliary	task	Aided DRL
Objective Assessment of Sonographic Quality I:	task	Information
Objective Comparison Methodology of Edge Detection Algorithms Using a Structure from Motion	task	, An
Objective Comparison Methodology of Edge Detection Algorithms Using a Structure from Motion	task	, An
Objective Function to Evaluate Performance of Human-Robot Collaboration in Target Recognition	task	s, An
Observation	task	Chain Representation Model for Disaster Process-Oriented Remote Sensing Satellite Sensor Planning: A Flood Water Monitoring Application, An
Observer Efficiency in Discrimination	task	s Simulating Malignant and Benign Breast Lesions Imaged With Ultrasound
Oculus Rift Versus HTC Vive: Usability Assessment from a Teleportation	task
ODVISTA: An Omnidirectional Video Dataset for Super-Resolution and Quality Enhancement	task	s
OGMN: Occlusion-guided multi-	task	network for object detection in UAV images
Olympus: A Universal	task	Router for Computer Vision Tasks
Olympus: A Universal	task	Router for Computer Vision Tasks
Omni-ID: Holistic Identity Representation Designed for Generative	task	s
Omnidata: A Scalable Pipeline for Making Multi-	task	Mid-Level Vision Datasets from 3D Scans
On multi-	task	learning for facial action unit detection
On realistic human motion simulation for virtual manipulation	task	s
On the Application of Massively Parallel SIMD Tree Machines to Certain Intermediate-Level Vision	task	s
On the correspondence between objects and events for the diagnosis of situations in visual surveillance	task	s
On the equivalence of local-mode finding, robust estimation and mean-shift analysis as used in early vision	task	s
On the Importance of Accurate Geometry Data for Dense 3D Vision	task	s
On the Robustness of Language Guidance for Low-Level Vision	task	s: Findings from Depth Estimation
On the suitability of different probability distributions for the	task	of image segmentation
On the Suitability of Reinforcement Fine-Tuning to Visual	task	s
On the Use of Different Classification Rules in an Editing	task
On the use of independent	task	s for face recognition
On the Use of Pre-trained Neural Networks for Different Face Recognition	task	s
On the Use of Topological Constraints Within Object Recognition	task	s
One framework to rule them all: Unifying multimodal	task	s with LLM neural-tuning
One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection	task	s
One Model for ALL: Low-Level	task	Interaction Is a Key to Task-Agnostic Image Fusion
One Model for ALL: Low-Level	task	Interaction Is a Key to Task-Agnostic Image Fusion
One-Pass Multi-	task	Networks With Cross-Task Guided Attention for Brain Tumor Segmentation
One-Pass Multi-	task	Networks With Cross-Task Guided Attention for Brain Tumor Segmentation
One-Shot Multiple Object Tracking in UAV Videos Using	task	-Specific Fine-Grained Features
One-Stage Anchor-Free Online Multiple Target Tracking With Deformable Local Attention and	task	-Aware Prediction
One-stage Multi-	task	Detector for 3D Cardiac MR Imaging
Online Anchor-Based Training for Image Classification	task	s
Online Class Incremental Learning on Stochastic Blurry	task	Boundary via Mask and Visual Prompt Tuning
Online Continual Learning on a Contaminated Data Stream with Blurry	task	Boundaries
Online Knowledge Distillation for Multi-	task	Learning
Online learning of	task	-driven object-based visual attention control
Online multi-modal	task	-driven dictionary learning and robust joint sparse representation for visual tracking
Online Multi-	task	Clustering for Human Motion Segmentation
Online multi-	task	learning for semantic concept detection in video
Online Multiple Object Tracking with Cross-	task	Synergy
Online Performance Prediction of Perception DNNs by Multi-	task	Learning With Depth Estimation
Online	task	-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
Online	task	-Free Continual Learning via Dynamic Expansionable Memory Distribution
Online	task	-free continual learning via Expansible Vision Transformer
Online	task	-free Continual Learning with Dynamic Sparse Distributed Memory
Online-LoRA:	task	-Free Online Continual Learning via Low Rank Adaptation
OO-dMVMT: A Deep Multi-view Multi-	task	Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation
Open Source Software Platform for Visualizing and Teaching Conservation	task	s in Architectural Heritage Environments, An
Open-World Multi-	task	Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
OpenVL: A	task	-based abstraction for developer-friendly computer vision
OpenVL: Abstracting Vision	task	s Using a Segment-Based Language Model
Operational and Biomechanical Evaluation of a Wrist Exoskeleton Prototype for Assisting Meat-Cutting	task	s
Operator Choice Modeling for Collaborative UAV Visual Search	task	s
Optimal Arousal Identification and Classification for Affective Computing Using Physiological Signals: Virtual Reality Stroop	task
Optimal Location Privacy Preserving and Service Quality Guaranteed	task	Allocation in Vehicle-Based Crowdsensing Networks
Optimal Pricing for Offloaded Hard- and Soft-Deadline	task	s in Edge Computing
Optimal	task	and Motion Planning and Execution for Multiagent Systems in Dynamic Environments
Optimal Transport of Diverse Unsupervised	task	s for Robust Learning from Noisy Few-shot Data
Optimizated CIELAB Colour Model For All-Analog Photoelectronic High Speed Vision-	task	Chip (ACCEL) by Creative Computing Approach, The
Optimization Algorithm of UAVs	task	Assignment and Path Planning Based on Dynamic Cluster Particle Swarm Optimization
Optimization and regularization of complex	task	decomposition for blind removal of multi-factor degradation
Optimization of Graph Convolutional Networks with Variational Graph Autoencoder Architecture for 3D Face Reconstruction	task
Optimization of Industrial, Vision-Based, Intuitively Generated Robot Point-Allocating	task	s Using Genetic Algorithms
Optimization of Restricted ROC Surfaces in Three-Class Classification	task	s
optimization on pictogram identification for the road-sign recognition	task	using SVMs, An
Optimized Spatiotemporal Data Scheduling Based on Maximum Flow for Multilevel Visualization	task	s
Optimizing Dense Visual Predictions Through Multi-	task	Coherence and Prioritization
Optimizing Lidars for Wind Turbine Control Applications: Results from the IEA Wind	task	32 Workshop
Optimizing Multi-	task	Network with Learned Prototypes for Weakly Supervised Semantic Segmentation
Optimizing Optics and Imaging for Pattern Recognition Based Screening	task	s
Optimizing	task	Offloading in VEC: A PDQKM Scheme Combining Deep Reinforcement Learning and Kuhn-Munkres Matching
Ordinal Multi-	task	Part Segmentation With Recurrent Prior Generation
Orthogonal channel attention-based multi-	task	learning for multi-view facial expression recognition
OSCAR: Object-Semantics Aligned Pre-Training for Vision-Language	task	s
OTCE: A Transferability Metric for Cross-Domain Cross-	task	Representations
Out-of-Distribution Detection: A	task	-Oriented Survey of Recent Advances
overhead-free region-based JPEG framework for	task	-driven image compression, An
Overt visual attention for free-viewing and quality assessment	task	s: Impact of the regions of interest on a video quality metric
Overview of the Photo Annotation	task	in ImageCLEF@ICPR
P-RoPE: A polar-based rotary position embedding for polar transformed images in rotation-invariant	task	s
PAC-Bayes Meta-Learning With Implicit	task	-Specific Posteriors
PackNet: Adding Multiple	task	s to a Single Network by Iterative Pruning
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification	task	s
PAD-Net: Multi-	task	s Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Padding Investigations for CNNs in Scene Parsing	task	s
PAMTRI: Pose-Aware Multi-	task	Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Pano-SfMLearner: Self-Supervised Multi-	task	Learning of Depth and Semantics in Panoramic Videos
PAR Contest 2023: Pedestrian Attributes Recognition with Multi-	task	Learning
Parallel Implementations of Perceptual Grouping	task	s on Distributed Memory Machines
Parallel	task	-Prompts ICM: A Versatile Feature Codec for Machine Vision
PARFormer: Transformer-Based Multi-	task	Network for Pedestrian Attribute Recognition
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging	task	s in 3D Mapping
Parking Space Status Inference Upon a Deep CNN and Multi-	task	Contrastive Network With Spatial Transform
PARSEL: A Multimodal Dataset for Modeling Decision-Making Processes Involved in Selecting Partners for Joint	task	s
Partially Shared Multi-	task	Convolutional Neural Network with Local Constraint for Face Attribute Learning
Partially Supervised Multi-	task	Network for Single-View Dietary Assessment
Parts-based multi-	task	sparse learning for visual tracking
Partstad: 2d-to-3d Part Segmentation	task	Adaptation
Patch-based Privacy Preserving Neural Network for Vision	task	s
Path Planning for Indoor Contact Inspection	task	s with Uavs
Pattern-Structure Diffusion for Multi-	task	Learning
Pay Attention! - Robustifying a Deep Visuomotor Policy Through	task	-Focused Visual Attention
PDFactor: Learning Tri-Perspective View Policy Diffusion Field for Multi-	task	Robotic Manipulation
PeaceGAN: A GAN-Based Multi-	task	Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier
PECTP: Parameter-Efficient Cross-	task	Prompts for Incremental Vision Transformer
Pedestrian and part position detection using a regression-based multiple	task	deep convolutional neural network
Pedestrian Crossing Intention Prediction Based on Cross-Modal Transformer and Uncertainty-Aware Multi-	task	Learning for Autonomous Driving
Pedestrian Detection Aided by Deep Learning Semantic	task	s
Perception planning for an exploration	task	of a 3D environment
Perception-Based Learning for Motion in Contact in	task	Planning
Perceptual Artifacts Localization for Image Synthesis	task	s
Perceptual Decoupling With Heterogeneous Auxiliary	task	s for Joint Low-Light Image Enhancement and Deblurring
Performance of visual search	task	s from various types of contour information
Person Re-Identification Over Camera Networks Using Multi-	task	Distance Metric Learning
Person Search by a Bi-Directional	task	-Consistent Learning Model
Personality-Assisted Multi-	task	Learning for Generic and Personalized Image Aesthetics Assessment
Personalized Model-Driven Adaptive	task	Facilitates Visuomotor Skill Learning Mediated by Promoting Flow Experience
Perspectives and Prospects on Transformer Architecture for Cross-Modal	task	s with Language and Vision
PETAH: Parameter Efficient	task	Adaptation for Hybrid Transformers
Petri-Net-Based Modeling of Human Operator's Planning for the Evaluation of	task	Performance Using the Example of Air Traffic Control
PHGC: Procedural Heterogeneous Graph Completion for Natural Language	task	Verification in Egocentric Videos
PhysMLE: Generalizable and Priors-Inclusive Multi-	task	Remote Physiological Measurement
Piggyback: Adapting a Single Network to Multiple	task	s by Learning to Mask Weights
Pixel shuffling is all you need: spatially aware convmixer for dense prediction	task	s
Place Theory as an Alternative Solution in Automatic Speech Recognition	task	s, The
PODD: A Dual-	task	Detection for Greenhouse Extraction Based on Deep Learning
Podnet: Pooled Outputs Distillation for Small-	task	s Incremental Learning
Point Proposal Based Instance Segmentation with Rectangular Masks for Robot Picking	task
Poly-PC: A Polyhedral Network for Multiple Point Cloud	task	s at Once
Pose-Independent Facial Action Unit Intensity Regression Based on Multi-	task	Deep Transfer Learning
Pose-Robust Face Verification by Exploiting Competing	task	s
Pose-to-Pose: A New	task	and Benchmark for Human Pose Transition in Yoga
PoseBias: On Dataset Bias and	task	Difficulty - Is there an Optimal Camera Position for Facial Image Analysis?
Potential Game Based	task	Offloading in the High-Speed Railway With Reinforcement Learning
PPO2: Location Privacy-Oriented	task	Offloading to Edge Computing Using Reinforcement Learning for Intelligent Autonomous Transport Systems
Precompiling a Geometric Model into an Interpretation Tree for Object Recognition in Bin-Picking	task	s
Predicting Chemical Properties using Self-Attention Multi-	task	Learning based on SMILES Representation
Predicting Driver's Transition Time to a Secondary	task	Given an in-Vehicle Alert
Predicting Gaze in Egocentric Video by Learning	task	-Dependent Attention Transition
Predicting Human Postures for Manual Material Handling	task	s Using a Conditional Diffusion Model
Predicting Multiple Attributes via Relative Multi-	task	Learning
Predicting	task	-Driven Attention via Integrating Bottom-Up Stimulus and Top-Down Guidance
Predicting Taxi Demand Based on 3D Convolutional Neural Network and Multi-	task	Learning
Predicting the Performance in Decision-Making	task	s: From Individual Cues to Group Interaction
Predicting the Subjective Responses' Emotion in Dialogues with Multi-	task	Learning
Predicting Visual Focus of Attention From Intention in Remote Collaborative	task	s
Predicting Visual Political Bias Using Webly Supervised Data and an Auxiliary	task
Predicting When and What to Explain From Multimodal Eye Tracking and	task	Signals
Prediction-Based and Locality-Aware	task	Scheduling for Parallelizing Video Transcoding Over Heterogeneous MapReduce Cluster
Predictive Model for Use of an Assistive Robotic Manipulator: Human Factors Versus Performance in Pick-and-Place/Retrieval	task	s, A
Preliminary Prosodic and Gestural Characteristics of Instructing Acts in Polish	task	-Oriented Dialogues
Principled Design of Image Representation: Towards Forensic	task	s, A
Principles Emerging from the Design of Visual Search Algorithms for Practical Inspection	task	s
Prior Aided Streaming Network for Multi-	task	Affective Analysis
Privacy-Aware Multiagent Deep Reinforcement Learning for	task	Offloading in VANET
Privileged multi-	task	learning for attribute-aware aesthetic assessment
Pro-Tuning: Unified Prompt Tuning for Vision	task	s
Proactive robot	task	sequencing through real-time hand motion prediction in human-robot collaboration
Probabilistic learning of	task	-specific visual attention
Probabilistic Multi-	task	Learning for Visual Saliency Estimation in Video
probabilistic representation for efficient large scale visual recognition	task	s, A
Probabilistic Vehicle Reconstruction Using a Multi-	task	CNN
Probing Neural Representations of Scene Perception in a Hippocampally Dependent	task	Using Artificial Neural Networks
Profit Maximization of Independent	task	Offloading in MEC-Enabled 5G Internet of Vehicles
Prognostic Framework for Robotic Manipulators Operating Under Dynamic	task	Severities
Programmable Motion Generation for Open-Set Motion Control	task	s
Programming intermediate level vision	task	s on parallel machines
Progress-Aware Online Action Segmentation for Egocentric Procedural	task	Videos
Progressive Multi-	task	Anti-Noise Learning and Distilling Frameworks for Fine-Grained Vehicle Recognition
Progressive Pretext	task	Learning for Human Trajectory Prediction
Projected Augmented Reality to Guide Manual Precision	task	s: An Alternative to Head Mounted Displays
Prompt Guided Transformer for Multi-	task	Dense Prediction
Prompt Prototype Learning Based on Ranking Instruction For Few-Shot Visual	task	s
PromptonomyViT: Multi-	task	Prompt Learning Improves Video Transformers using Synthetic Scene Data
Propagating Uncertainty Across Cascaded Medical Imaging	task	s for Improved Deep Learning Inference
Prototype-Based Methodology for the Statistical Analysis of Local Features in Stereotypical Handwriting	task	s
PSO based multi-robot	task	allocation, A
PT4AL: Using Self-supervised Pretext	task	s for Active Learning
Public Bus-Assisted	task	Offloading for UAVs
Public Life in Public Space (PLPS): A multi-	task	, multi-group video dataset for public life research
Puck localization and multi-	task	event recognition in broadcast hockey videos
PYRA: Parallel Yielding Re-activation for Training-inference Efficient	task	Adaptation
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA	task	s? A: Self-Train on Unlabeled Images!
QFabric: Multi-	task	Change Detection Dataset
QoE-Based	task	Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles
QuadroNet: Multi-	task	Learning for Real-Time Semantic Depth Aware Instance Segmentation
Quality of Experience Comparison Between Binocular and Monocular Augmented Reality Display Under Various Occlusion Conditions for Manipulation	task	s with Virtual Instructions
Quality-Oriented	task	Allocation and Scheduling in Transcoding Servers With Heterogeneous Processors
Quantifying	task	Priority for Multi-Task Optimization
Quantifying	task	Priority for Multi-Task Optimization
Queueing Model Based Intelligent Human-Machine	task	Allocator, A
Queuing Network Modeling of Driver Lateral Control With or Without a Cognitive Distraction	task
Rainbow UDA: Combining Domain Adaptive Models for Semantic Segmentation	task	s
Raw High-Definition Radar for Multi-	task	Learning
Reactive Model Correction: Mitigating Harm to	task	-Relevant Features via Conditional Bias Suppression
Real-Time Active Vision and Computer Interfaces Exploiting Human Actions and Object Context for Recognition	task	s
Real-Time Human Pose Estimation via Cascaded Neural Networks Embedded with Multi-	task	Learning
Real-Time Multi-	task	Environmental Perception System for Traffic Safety Empowered by Edge Artificial Intelligence
Real-Time Multi-	task	Single Shot Face Detector, A
Real-Time Segmentation and Recognition of Surgical	task	s in Cataract Surgery Videos
Real-Time	task	Recognition in Cataract Surgery Videos Using Adaptive Spatiotemporal Polynomials
Real-Time Visual Sensing for	task	Planning in a Field Navigation Vehicle
Real-Valued Negative Selection (RNS) for Classification	task
Recent Trends in	task	and Motion Planning for Robotics: A Survey
RECISTSurv: Hybrid Multi-	task	Transformer for Hepatocellular Carcinoma Response and Survival Evaluation
Recognizing Assembly	task	s using Face-Contact Relations
Recognizing Daily Activities from First-Person Videos with Multi-	task	Clustering
Reconfigurable computing: design methodology and hardware	task	s scheduling for real-time image processing
Recovery Effect of Different Virtual Natural Environments on Stress in Short-term Isolation	task	s
Rectification-Based Knowledge Retention for	task	Incremental Learning
Recurrent Assistance: Cross-Dataset Training of LSTMs on Kitchen	task	s
Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the	task	of Accelerated MRI Reconstruction
Redirected touching: The effect of warping space on	task	performance
Reducing Power Consumption and Latency of Autonomous Vehicles With Efficient	task	and Path Assignment in the V2X-MEC Based on Nash Equilibrium
Reducing the Minimal Fleet Size by Delaying Individual	task	s
Reference Tracking Optimization With Obstacle Avoidance via	task	Prioritization for Automated Driving
Refinement Method for Single-Stage Object Detection Based on Progressive Decoupled	task	Alignment, A
Reflective Field for Pixel-Level	task	s
Region Attentive Action Unit Intensity Estimation With Uncertainty Weighted Multi-	task	Learning
Region-aware Distribution Contrast: A Novel Approach to Multi-	task	Partially Supervised Learning
Regularized uncertainty-based multi-	task	learning model for food analysis
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level	task
Reinforcement Learning Based Edge-End Collaboration for Multi-	task	Scheduling in 6G Enabled Intelligent Autonomous Transport Systems
Reinforcement Learning via Auxiliary	task	Distillation
Reinforcement-Learning-Based Energy-Efficient Framework for Multi-	task	Video Analytics Pipeline, A
Rejection strategies and confidence measures for a k-nn classifier in an ocr	task
Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making	task
relation of susceptibility levels of hypnosis and different mental	task	s, The
Relational Experience Replay: Continual Learning by Adaptively Tuning	task	-Wise Relationship
Relational Future Captioning Model for Explaining Likely Collisions in Daily	task	s
Relational Temporal Graph Reasoning for Dual-	task	Dialogue Language Understanding
Relevance of a Feed-Forward Model of Visual Attention for Goal-Oriented and Free-Viewing	task	s
Relevance-aware Question Generation in Non-	task	-oriented Dialogue Systems
Reliable	task	-Constrained Band Selection Method for Hyperspectral Anomaly Detection
Reparameterizing Convolutions for Incremental Multi-	task	Learning Without Task Interference
Reparameterizing Convolutions for Incremental Multi-	task	Learning Without Task Interference
Representation learning with deep sparse auto-encoder for multi-	task	learning
Representation Similarity Analysis for Efficient	task	Taxonomy and Transfer Learning
REPVF: A Unified Vector Fields Representation for Multi-	task	3d Perception
Research on Distributed Collaborative	task	Planning and Countermeasure Strategies for Satellites Based on Game Theory Driven Approach
Research on Multi-	task	Semantic Segmentation Based on Attention and Feature Fusion Method
Research on Semantic Communication Based on Balancing of	task	Distortion
Research on	task	-Driven Dual-Light Image Fusion and Enhancement Method under Low Illumination
Residual multi-	task	learning for facial landmark localization and expression recognition
Residual-based Language Models are Free Boosters for Biomedical Imaging	task	s
Resource Allocation Strategy in Internet of Vehicles Based on Multi-	task	Federated Learning and Incentive Mechanism, A
Resource prediction and quality control for parallel execution of heterogeneous medical imaging	task	s
Resource-Aware Coverage and	task	Assignment in Visual Sensor Networks
Resource-aware sensor selection and	task	assignment
Rethinking Low-Rank Adaptation in Vision: Exploring Head-Level Responsiveness across Diverse	task	s
Rethinking	task	and Metrics of Instance Segmentation on 3D Point Clouds
Rethinking	task	-Incremental Learning Baselines
Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level	task	s
Retinal Image Analysis Oriented to the Clinical	task
Retinal vessel segmentation based on	task	-driven generative adversarial network
Reusing the	task	-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
revenge of BiSeNet: Efficient Multi-	task	Image Segmentation, The
Reverse Image Segmentation: A High-Level Solution to a Low-Level	task
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-	task	Loss and Skip-Memory
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot	task	s
Revitalizing Regression	task	s Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification	task	s
RL-RC-DoT: A Block-level RL agent for	task	-Aware Video Compression
RM2Occ: Re-Projection Multi-	task	Multi-Sensor Fusion for Autonomous Driving 3D Object Detection and Occupancy Perception
Robot System That Observes and Replicates Grasping	task	s, A
Robot	task	Programming by Human Demonstration
robot that keeps it simple: Hello robot wants to reinvent how autonomous machines perform	task	s at home, A
Robots in Retirement Homes: Person Search and	task	Planning for a Group of Residents by a Team of Assistive Robots
Robust Learning Through Cross-	task	Consistency
Robust multi-feature visual tracking via multi-	task	kernel-based sparse learning
Robust Multi-Focus Image Fusion Using Multi-	task	Sparse Representation and Spatial Context
Robust Multi-	task	Learning With Flexible Manifold Constraint
Robust Multispectral Reconstruction Network from RGB Images Trained by Diverse Satellite Data and Application in Classification and Detection	task	s, A
Robust Object Detection for UAVs in Foggy Environments with Spatial-Edge Fusion and Dynamic	task	Alignment
Robust object tracking via multi-	task	based collaborative model
Robust object tracking via multi-	task	dynamic sparse model
Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-	task	Learning and Decoupled Inter-Student Learning
Robust Variant-Parameter Double Integral Multi- Layer Neural Dynamics for Tracking	task	s of Quadrotors in Unbounded Noisy Environments
Robust Visual Servoing in 3-D Reaching	task	s
Robust Visual Tracking Via Multi-	task	Sparse Learning
Robust Visual Tracking via Structured Multi-	task	Sparse Learning
Robustly tracking objects via multi-	task	kernel dynamic sparse model
Robustness of functional connectivity metrics for EEG-based personal identification over	task	-induced intra-class and inter-class variations
Role of Preprocessing for Word Representation Learning in Affective	task	s, The
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection	task
Rotating your face using multi-	task	deep neural network
RSNet: The Search for Remote Sensing Deep Neural Networks in Recognition	task	s
RTMDet-MGG: A Multi-	task	Model With Global Guidance
Rule-Based Multi-	task	Deep Learning for Highly Efficient Rice Lodging Segmentation
Safe-Construct: Redefining Construction Safety Violation Recognition as 3D Multi-View Engagement	task
SAMCT: Segment Any CT Allowing Labor-Free	task	-Indicator Prompts
SAR Image Recognition with Monogenic Scale Selection-Based Weighted Multi-	task	Joint Sparse Representation
SAREval: A Multi-Dimensional and Multi-	task	Benchmark for Evaluating Visual Language Models on SAR Image Understanding
SATHUR: Self Augmenting	task	Hallucinal Unified Representation for Generalized Class Incremental Learning
Sayette Group Formation	task	(GFT) Spontaneous Facial Expression Database
Scalable classifiers for Internet vision	task	s
Scaling Properties of Diffusion Models For Perceptual	task	s
Scaling up Image Segmentation across Data and	task	s
Scaling Up Personalized Image Aesthetic Assessment via	task	Vector Customization
ScatSimCLR: Self-Supervised Contrastive Learning with Pretext	task	Regularization for Small-Scale Datasets
Scenario-Free Autonomous Driving With Multi-	task	Offline-to-Online Reinforcement Learning
Scene Memory Transformer for Embodied Agents in Long-Horizon	task	s
Scene-Dependent Intention Recognition for	task	Communication with Reduced Human-Robot Interaction
Scenes-Objects-Actions: A Multi-	task	, Multi-label Video Dataset
SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text	task	s in the Scientific Domain
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching	task	s
SDCINet: A novel cross-	task	integration network for segmentation and detection of damaged/changed building targets with optical remote sensing imagery
SDMT: Spatial Dependence Multi-	task	Transformer Network for 3D Knee MRI Segmentation and Landmark Localization
Seabed-Net: A multi-	task	network for joint bathymetry estimation and seabed classification from remote sensing imagery in shallow waters
Searching Architecture and Precision for U-net based Image Restoration	task	s
Searching attentive	task	s with document analysis evidences and Dempster-Shafer theory
Searching for Robustness: Loss Learning for Noisy Classification	task	s
SEG-ESRGAN: A Multi-	task	Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images
SegAnyPath: A Foundation Model for Multi- Resolution Stain-Variant and Multi-	task	Pathology Image Segmentation
SegIns: A simple extension to instance discrimination	task	for better localization learning
Segmentation of Multiple Structures in Chest Radiographs Using Multi-	task	Fully Convolutional Networks
Selecting Useful Knowledge from Previous	task	s for Future Learning in a Single Network
Selection of Features and Evaluation of Visual Measurements During Robotic Visual Servoing	task	s
Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery	task	s
Self-Evolved Dynamic Expansion Model for	task	-Free Continual Learning
Self-organizing Maps for Motor	task	s Recognition from Electrical Brain Signals
Self-Paced Hard	task	-Example Mining for Few-Shot Classification
Self-Supervise Reinforcement Learning Method for Vacant Parking Space Detection Based on	task	Consistency and Corrupted Rewards
Self-supervised assisted multi-	task	learning network for one-shot defect segmentation with fake defect generation
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary	task	s
Self-Supervised Material and Texture Representation Learning for Remote Sensing	task	s
Self-supervised multi-	task	learning for medical image analysis
Self-Supervised Multi-	task	Pretraining Improves Image Aesthetic Assessment
Self-supervised Multi-	task	Procedure Learning from Instructional Videos
Self-Supervised Solution for the Switch-Toggling Visual	task	, A
Self-training and multi-	task	learning for limited data: Evaluation study on object detection
Semantic Bottleneck for Computer Vision	task	s
Semantic Fisher Scores for	task	Transfer: Using Objects to Classify Scenes
Semantic Image Segmentation with	task	-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
Semantic Path Planning for Indoor Navigation	task	s Using Multi-View Context and Prior Knowledge
Semantic Segmentation and Change Detection By Multi-	task	U-Net
Semantic segmentation from remote sensor data and the exploitation of latent learning for classification of auxiliary	task	s
Semantic Segmentation of Airborne Images and Corresponding Digital Surface Models - Additional Input Data Or Additional	task	?
Semantic Segmentation via Multi-	task	, Multi-domain Learning
Semantical video coding: Instill static-dynamic clues into structured bitstream for AI	task	s
Semantics-guided multi-	task	genetic programming for multi-output regression
SemanticSugarBeets: A Multi-	task	Framework and Dataset for Inspecting Harvest and Storage Characteristics of Sugar Beets
Semi-automatic Pipeline for Large-scale Dataset Annotation	task	: A DMD Application
Semi-Reference Sonar Image Quality Assessment Based on	task	and Visual Perception
Semi-Supervised Crowd Counting via Multi-	task	Pseudo-Label Self-Correction Strategy
Semi-Supervised Crowd Counting via Self-training on Surrogate	task	s
Semi-Supervised Depth Estimation by Multi-	task	Learning
Semi-supervised extensions of multi-	task	tree ensembles
Semi-supervised feature selection with exploiting shared information among multiple	task	s
Semi-Supervised Image Classification With Self-Paced Cross-	task	Networks
Semi-supervised Multi-	task	Learning for Semantics and Depth
Semi-Supervised Unpaired Medical Image Segmentation Through	task	-Affinity Consistency
Semi-Weakly-Supervised Learning of Complex Actions from Instructional	task	Videos
Semisupervised Hyperspectral Classification Using	task	-Driven Dictionary Learning With Laplacian Regularization
Sensor Planning for 3D Visual Search with	task	Constraints
Sentiment Similarity-oriented Attention Model with Multi-	task	Learning for Text-based Emotion Recognition, A
Sequential Cross Attention Based Multi-	task	Learning
Sequential Mastery of Multiple Visual	task	s: Networks Naturally Learn to Learn and Forget to Forget
Set-Supervised Action Learning in Procedural	task	Videos via Pairwise Order Consistency
Severity grading of psoriatic plaques using deep CNN based multi-	task	learning
SF-Net: A Multi-	task	Model for Brain Tumor Segmentation in Multimodal MRI via Image Fusion
SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and its Downstream	task	s
SGW-Based Multi-	task	Learning in Vision Tasks
SGW-Based Multi-	task	Learning in Vision Tasks
Shannon information for joint estimation/detection	task	s and complex imaging systems
Share-Aware Joint Model Deployment and	task	Offloading for Multi-Task Inference
Share-Aware Joint Model Deployment and	task	Offloading for Multi-Task Inference
Sharing Decoders: Network Fission for Multi-	task	Pixel Prediction
SHIFT: A Synthetic Driving Dataset for Continuous Multi-	task	Domain Adaptation
Ship Classification Based on MSHOG Feature and	task	-Driven Dictionary Learning with Structured Incoherent Constraints in SAR Images
Ship Classification in SAR Imagery by Shallow CNN Pre-Trained on	task	-Specific Dataset with Feature Refinement
Ship Detection for PolSAR Images via	task	-Driven Discriminative Dictionary Learning
Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-	task	Deep Learning
Short-Term Prediction of Passenger Demand in Multi-Zone Level: Temporal Convolutional Neural Network With Multi-	task	Learning
ShuffleCount:	task	-Specific Knowledge Distillation for Crowd Counting
SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision	task	s
Simple Solvers for Large Quadratic Programming	task	s
Simple Yet Robust Nonlinear Function for Low-Light Image Enhancement	task	, A
Simulating	task	-Free Continual Learning Streams From Existing Datasets
Simultaneous Deep Transfer Across Domains and	task	s
Simultaneous Detection of Multiple Facial Action Units via Hierarchical	task	Structure Learning
Simultaneous Estimation of Dish Locations and Calories with Multi-	task	Learning
Simultaneous estimation of food categories and calories with multi-	task	CNN
Simultaneous estimation of image quality and distortion via multi-	task	convolutional neural networks
SINC: Self-Supervised In-Context Learning for Vision-Language	task	s
Single Architecture and Multiple	task	deep Neural Network for Altered Fingerprint Analysis
Single Image to Semantic BIM: Domain-Adapted 3D Reconstruction and Annotations via Multi-	task	Deep Learning
Single Satellite Imagery Simultaneous Super-Resolution and Colorization Using Multi-	task	Deep Neural Networks
Single-Image HDR Reconstruction with	task	-specific Network based on Channel Adaptive RDN
Single-Loss Multi-	task	Learning For Improving Semantic Segmentation Using Super-Resolution
Skeletonization and 3D graph approach for thin objects recognition in pick and place	task	s
Skeletons and Asynchronous RPC for Embedded Data and	task	Parallel Image Processing
Skelevision: Towards Adversarial Resiliency of Person Tracking with Multi-	task	Learning
SketchTransfer: A Challenging New	task	for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based	task	Execution
SkyEyeGPT: Unifying remote sensing vision-language	task	s via instruction tuning with large language model
SMNet: Symmetric Multi-	task	Network for Semantic Change Detection in Remote Sensing Images Based on CNN and Transformer
Smoothness of Surgical Tool Tip Motion Correlates to Skill in Endovascular	task	s
SNP-S3: Shared Network Pre-Training and Significant Semantic Strengthening for Various Video-Text	task	s
SOD-MTGAN: Small Object Detection via Multi-	task	Generative Adversarial Network
Soft-Landing Strategy for Alleviating the	task	Discrepancy Problem in Temporal Action Localization Tasks
Soft-Landing Strategy for Alleviating the	task	Discrepancy Problem in Temporal Action Localization Tasks
Software Designs of Image Processing	task	s With Incremental Refinement of Computation
Solving Motion Planning	task	s with a Scalable Generative Model
Solving the same-different	task	with convolutional neural networks
SOTVerse: A User-Defined	task	Space of Single Object Tracking
Sound and Visual Representation Learning with Multiple Pretraining	task	s
Space-Time Periodic	task	Model for Recommendation of Remote Sensing Images, A
Sparse Bayesian multi-	task	learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease
Sparse multi-	task	regression and feature selection to identify brain imaging predictors for memory performance
Sparse shared structure based multi-	task	learning for MRI based cognitive performance prediction of Alzheimer's disease
Sparse U-PDP: A Unified Multi-	task	Framework for Panoptic Driving Perception
Spatial and temporal beliefs for mistake detection in assembly	task	s
Spatial Augmented Reality user interface techniques for room size modeling	task	s
Spatial Downscaling of Satellite Sea Surface Wind with Soft-Sharing Multi-	task	Learning
Spatial Focus Attention for Fine-Grained Skeleton-Based Action	task	s
Spatial-temporal multi-	task	learning for salient region detection
SpatialFlow: Bridging All	task	s for Panoptic Segmentation
Spatially-Correlative Loss for Various Image Translation	task	s, The
Spatio-Temporal EV	task	Offloading, Energy, and Traffic Management for 6G Communication-Power-Transportation Coupling Network
Spatio-temporal representation for face authentication by using multi-	task	learning with human attributes
Spatiotemporal Typhoon Damage Assessment: A Multi-	task	Learning Method for Location Extraction and Damage Identification from Social Media Texts
Speaker-aware Multi-	task	Learning for automatic speech recognition
Special Issue Retraction: Jointly network image processing: multi-	task	image semantic segmentation of indoor scene based on CNN
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-	task	Deep Learning
Split n merge net: A dynamic masking network for multi-	task	attention
Split to Learn: Gradient Split for Multi-	task	Human Image Analysis
Spot the Difference: A Novel	task	for Embodied Agents in Changing Environments
SPOT: An efficient training-free	task	similarity quantification method for continual learning
SpotNet: Self-Attention Multi-	task	Network for Object Detection
SRKTDN: Applying Super Resolution Method to Dehazing	task
SSL++: Improving Self-Supervised Learning by Mitigating the Proxy	task	-Specificity Problem
SSMTL++: Revisiting self-supervised multi-	task	learning for video anomaly detection
Stackelberg Game-Based Multi-Agent Algorithm for Resource Allocation and	task	Offloading in MEC-Enabled C-ITS
STiL: Semi-supervised Tabular-Image Learning for Comprehensive	task	-Relevant Information Exploration in Multimodal Classification
Stochastic Filter Groups for Multi-	task	CNNs: Learning Specialist and Generalist Convolution Kernels
Stochastic Guided Search Model for Search Asymmetries in Visual Search	task	s
Stochastic Quality Metric for Optimal Control of Active Camera Network Configurations for 3D Computer Vision	task	s, A
Stochastic	task	Scheduling in UAV-Based Intelligent On-Demand Meal Delivery System
Stratified Multi-	task	Learning for Robust Spotting of Scene Texts
Strong-Help-Weak: An Online Multi-	task	Inference Learning Approach for Robust Advanced Driver Assistance Systems
Structure Synchronized Dynamic Event-Triggered Control for Marine Ranching AMVs via the Multi-	task	Switching Guidance
Structure-Encoding Auxiliary	task	s for Improved Visual Representation in Vision-and-Language Navigation
Structured and weighted multi-	task	low rank tracker
Study of Improving the Accuracy of Convolutional Neural Networks in Face Recognition	task	s, The
Study of Multi-	task	and Region-Wise Deep Learning for Food Ingredient Recognition, A
study on a target detection model for autonomous driving	task	s, A
Superquadric Indoor Scene Representation for Orientation and Navigation	task	s
SuperTickets: Drawing	task	-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
Supervised Learning of Detection and Classification	task	s with Uncertain Training Data
Supervision of Perception	task	s for Autonomous Systems: The OCAPI Approach
Supporting Operators in Process Control	task	s: Benefits of Interactive 3-D Visualization
Supporting Virtual Collaboration in Spatial Design	task	s: Are Surrogate or Natural Gestures More Effective?
Surgical motion	task	performance in a hand eye colocated digital stereo microcsope
Survey of Computation Offloading With	task	Types, A
Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring	task	s, A
Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A	task	-Oriented Perspective, A
SwinFace: A Multi-	task	Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
Switch Diffusion Transformer: Synergizing Denoising	task	s with Sparse Mixture-of-experts
Switcher-HNet: A switchable hierarchical network for tree species classification from forest stand to individual tree	task	s
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision	task	s with Real-time Performance on Mobile Device
Symbolic Representation for Any-to-Any Generative	task	s
Synergistic Semantic Segmentation and Height Estimation for Monocular Remote Sensing Images via Cross-	task	Interaction
Syn	task	Net: A synergistic multi-task network for joint segmentation and classification of small anatomical structures in ultrasound imaging
syntax-directed program that performs a three-dimensional perceptual	task	, A
Synthesis of complex-valued InSAR data with a multi-	task	convolutional neural network
Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-	task	Deep Generative Model
System for Various Visual Classification	task	s Based on Neural Networks, A
Systematic Literature Review on Multi-Robot	task	Allocation, A
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation	task	s
Ta-Adapter: Enhancing few-shot CLIP with	task	-aware encoders
TAAN:	task	-Aware Attention Network for Few-shot Classification
TAB: Text-Align Anomaly Backbone Model for Industrial Inspection	task	s
TACLE:	task	and Class-Aware Exemplar-Free Semi-Supervised Class Incremental Learning
TaCOS:	task	-Specific Camera Optimization with Simulation
TAD-Graph: Enhancing Whole Slide Image Analysis via	task	-Aware Subgraph Disentanglement
TADFormer:	task	-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning
TADFormer:	task	-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning
TAE-Net:	task	-Adaptive Embedding Network for Few-Shot Remote Sensing Scene Classification
TAE:	task	-aware Expandable Representation for Long Tail Class Incremental Learning
TAFE-Net:	task	-Aware Feature Embeddings for Low Shot Learning
TAFL:	task	-Agnostic Feature Learner for Efficient Adaptation to Unseen Clinical Tasks Based on Whole-Slide Histopathological Images
TAFL:	task	-Agnostic Feature Learner for Efficient Adaptation to Unseen Clinical Tasks Based on Whole-Slide Histopathological Images
Tafssl:	task	-adaptive Feature Sub-space Learning for Few-shot Classification
Take a prior from other	task	s for severe blur removal
TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-	task	Learning
TAME:	task	Agnostic Continual Learning using Multiple Experts
TAML-Adapter: Enhancing Adapter Tuning Through	task	-Agnostic Meta-Learning for Low-Resource Automatic Speech Recognition
TAMM: A	task	-Adaptive Multi-Modal Fusion Network for Facial-Related Health Assessments on 3D Facial Images
TANGO: Training-free Embodied AI Agents for Open-world	task	s
TAO-Net:	task	-Adaptive Operation Network for Image Restoration and Enhancement
TAPE:	task	-Agnostic Prior Embedding for Image Restoration
TapFace: A	task	-oriented facial privacy protection framework
TapTell: Interactive visual search for mobile	task	recommendation
	task	Adaptive Network for Image Restoration with Combined Degradation Factors
	task	Adaptive Parameter Sharing for Multi-Task Learning
	task	Adaptive Parameter Sharing for Multi-Task Learning
	task	adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout
	task	Agnostic and Post-hoc Unseen Distribution Detection
	task	Agnostic Meta-Learning for Few-Shot Learning
	task	Agnostic Restoration of Natural Video Dynamics
	task	Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
	task	Allocation and Scalability Evaluation for Real-Time Multimedia Processing in a Cluster Environment
	task	and Environment-Sensitive Tracking
	task	Assignment Algorithm for Multiple Aerial Vehicles to Attack Targets With Dynamic Values, A
	task	Augmentation-Based Meta-Learning Segmentation Method for Retinopathy
	task	Bias in Contrastive Vision-Language Models
	task	Category Space for User-Centric Comparative Multimedia Search Evaluations, A
	task	complexity analysis and QoS management for mapping dynamic video-processing tasks on a multi-core platform
	task	complexity analysis and QoS management for mapping dynamic video-processing tasks on a multi-core platform
	task	Configuration Impacts Annotation Quality and Model Training Performance in Crowdsourced Image Segmentation
	task	Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection, A
	task	decomposition and modular single-hidden-layer perceptron classifiers for multi-class learning problems
	task	Decomposition and Synchronization for Semantic Biomedical Image Segmentation
	task	Decoupled Framework for Reference-based Super-Resolution
	task	dependent deep LDA pruning of neural networks
	task	differentiation: Constructing robust branches for precise object detection
	task	Difficulty Aware Parameter Allocation and Regularization for Lifelong Learning
	task	Discrepancy Maximization for Fine-grained Few-Shot Classification
	task	Driven 3D Object Recognition System Using Bayesian Networks, A
	task	Driven Perceptual Organization for Extraction of Rooftop Polygons
	task	Encoding With Distribution Calibration for Few-Shot Learning
	task	Frames in Visuo-Motor Coordination
	task	Frames: Primitives for Sensory-Motor Coordination
	task	Grouping for Multilingual Text Recognition
	task	interleaving and orientation estimation for high-precision oriented object detection in aerial images
	task	Is Worth One Word: Learning with Task Prompts for High-quality Versatile Image Inpainting, A
	task	Is Worth One Word: Learning with Task Prompts for High-quality Versatile Image Inpainting, A
	task	Load Estimation from Multimodal Head-Worn Sensors Using Event Sequence Features
	task	model of lower body motion for a humanoid robot to imitate human dances
	task	Navigator: Decomposing Complex Tasks for Multimodal Large Language Models
	task	Navigator: Decomposing Complex Tasks for Multimodal Large Language Models
	task	Offloading and Resource Allocation in Vehicular Cooperative Perception With Integrated Sensing, Communication, and Computation
	task	Offloading Based on the Fusion of Model- and Data-Driven Intelligence for Vehicular Edge Computing Networks
	task	oriented facial behavior recognition with selective sensing
	task	Oriented Vision
	task	Planner for Sensor-Based Inspection and Manipulation Robots, A
	task	Planning and Action Coordination in Integrated Sensor-Based Robots
	task	Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
	task	Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
	task	Programming: Learning Data Efficient Behavior Representations
	task	Recognition and Person Identification in Cyclic Dance Sequences with Multi Factor Tensor Analysis
	task	Relation Networks
	task	Relevant Relaxation Network for Visuo-Motor Systems
	task	Residual for Tuning Vision-Language Models
	task	Scheduling in Large Camera Networks
	task	Scheduling of Real-Time Traffic Information Processing Based on Digital Twins
	task	selection in spatial crowdsourcing from worker's perspective
	task	Singular Vectors: Reducing Task Interference in Model Merging
	task	Singular Vectors: Reducing Task Interference in Model Merging
	task	Specific Factors for Video Characterization
	task	Specific Local Region Matching
	task	Specific Networks for Identity and Face Variation
	task	Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks
	task	Switching Network for Multi-task Learning
	task	Switching Network for Multi-task Learning
	task	weighting based on particle filter in deep multi-task learning with a view to uncertainty and performance
	task	weighting based on particle filter in deep multi-task learning with a view to uncertainty and performance
	task	-Adapted Learnable Embedded Quantization for Scalable Human-Machine Image Compression
	task	-Adaptive Attention for Image Captioning
	task	-Adaptive Embedding Learning with Dynamic Kernel Fusion for Few-Shot Remote Sensing Scene Classification
	task	-Adaptive Feature Disentanglement and Hallucination for Few-Shot Classification
	task	-Adaptive Feature Matching Loss for Image Deblurring
	task	-Adaptive Feature Reweighting for Few Shot Classification
	task	-adaptive Few-shot Learning on Sphere Manifold
	task	-Adaptive Negative Envision for Few-Shot Open-Set Recognition
	task	-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning
	task	-Agnostic Attacks Against Vision Foundation Models
	task	-Agnostic Continual Learning Using Base-Child Classifiers
	task	-Agnostic Guided Feature Expansion for Class-Incremental Learning
	task	-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition
	task	-Agnostic Vision Transformer for Distributed Learning of Image Processing
	task	-Aligned Part-Aware Panoptic Segmentation Through Joint Object-Part Representations
	task	-Assisted Domain Adaptation with Anchor Tasks
	task	-Assisted Domain Adaptation with Anchor Tasks
	task	-Aware Adaptive Learning for Cross-Domain Few-Shot Learning
	task	-Aware Attention Model for Clothing Attribute Prediction
	task	-Aware Attentional Dynamic Alignment for Few-Shot Compressed Video Classification
	task	-Aware Clustering for Prompting Vision-Language Models
	task	-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding
	task	-Aware Dual-Representation Network for Few-Shot Action Recognition
	task	-Aware Encoder Control for Deep Video Compression
	task	-Aware Few-Shot Visual Classification with Improved Self-Supervised Metric Learning
	task	-Aware Graph Convolutional Network for Active Learning
	task	-Aware Image Downscaling
	task	-aware Part Mining Network for Few-Shot Learning
	task	-aware Quantization Network for JPEG Image Compression
	task	-Aware Variational Adversarial Active Learning
	task	-Aware Weakly Supervised Object Localization With Transformer
	task	-balanced distillation for object detection
	task	-Based Approach to Adaptive and Multimodality Imaging, A
	task	-based control of articulated human pose detection for OpenVL
	task	-based evaluation of skin detection for communication and perceptual interfaces
	task	-based Focal Loss for Adversarially Robust Meta-Learning
	task	-Based Modeling of a 5k Ultra-High-Resolution Medical Imaging System for Digital Breast Tomosynthesis
	task	-based parameter isolation for foreground segmentation without catastrophic forgetting using multi-scale region and edges fusion network
	task	-Based User Evaluation of Content-Based Image Database Browsing Systems
	task	-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
	task	-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
	task	-conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery
	task	-Conditioned Ensemble of Expert Models for Continuous Learning
	task	-Container Matching Game for Computation Offloading in Vehicular Edge Computing and Networks
	task	-Customized Mixture of Adapters for General Image Fusion
	task	-dependent multi-task multiple kernel learning for facial action unit detection
	task	-dependent multi-task multiple kernel learning for facial action unit detection
	task	-dependent saliency estimation from trajectories of agents in video sequences
	task	-Dependent Visual-Codebook Compression
	task	-Directed Computation of Quantitative Decisions from Sensor Data
	task	-directed evaluation of image segmentation methods
	task	-Directed Sensor Fusion and Planning: A Computational Approach
	task	-Discriminative Domain Alignment for Unsupervised Domain Adaptation
	task	-Distributionally Robust Data-Free Meta-Learning
	task	-Driven Biometric Authentication of Users in Virtual Reality (VR) Environments
	task	-driven camera operations for robotic exploration
	task	-Driven Controllable Scenario Generation Framework Based on AOG
	task	-Driven Dictionary Learning
	task	-Driven Dictionary Learning for Hyperspectral Image Classification With Structured Sparsity Constraints
	task	-Driven Disaster Data Link Approach, A
	task	-Driven Dynamic Fusion: Reducing Ambiguity in Video Description
	task	-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection
	task	-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection
	task	-Driven Feature Pooling for Image Classification
	task	-driven Image Fusion with Learnable Fusion Loss
	task	-Driven Image Retrieval Using Geographic Information
	task	-driven intelligent workspace system to provide guidance feedback, A
	task	-Driven Invertible Projection Matrix Learning Algorithm for Hyperspectral Compressed Sensing, A
	task	-Driven Learning of Spatial Combinations of Visual Features
	task	-Driven Modular Networks for Zero-Shot Compositional Learning
	task	-Driven Optimization of Fluence Field and Regularization for Model-Based Iterative Reconstruction in Computed Tomography
	task	-Driven Progressive Part Localization for Fine-Grained Object Recognition
	task	-driven progressive part localization for fine-grained recognition
	task	-Driven Saliency Detection on Music Video
	task	-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with Mammography
	task	-Driven Semantic Coding via Reinforcement Learning
	task	-driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
	task	-Driven Underwater Image Enhancement via Hierarchical Semantic Refinement
	task	-Driven Video Compression for Humans and Machines: Framework Design and Optimization
	task	-Driven Wavelets Using Constrained Empirical Risk Minimization
	task	-Driven Webpage Saliency
	task	-Feature Collaborative Learning with Application to Personalized Attribute Prediction
	task	-Free Continual Learning
	task	-Generic Hierarchical Human Motion Prior using VAEs
	task	-Guided, Implicitly-Searched and Meta-Initialized Deep Model for Image Fusion, A
	task	-Independent Robotic Uncalibrated Hand-Eye Coordination Based on the Extended State Observer
	task	-Informed Meta-Learning for Remote Sensing
	task	-Level Contrastiveness for Cross-Domain Few-Shot Learning
	task	-Level Planning of Pick-and-Place Robot Motions
	task	-Oriented Approach for Cost-Sensitive Recognition, A
	task	-oriented camera assignment in a video network
	task	-Oriented Channel Attention for Fine-Grained Few-Shot Classification
	task	-Oriented Compact Representation of 3D Point Clouds via A Matrix Optimization-Driven Network
	task	-Oriented Convex Bilevel Optimization With Latent Feasibility
	task	-Oriented Evaluation of Super-Resolution Techniques
	task	-Oriented Feature Hallucination for Few-Shot Image Classification
	task	-Oriented Generation of Visual Sensing Strategies
	task	-Oriented Generation of Visual Sensing Strategies in Assembly Tasks
	task	-Oriented Generation of Visual Sensing Strategies in Assembly Tasks
	task	-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation
	task	-Oriented Human-Object Interactions Generation with Implicit Neural Representations
	task	-Oriented Knowledge Base for Geospatial Problem-Solving, A
	task	-Oriented Multi-Modal Mutual Learning for Vision-Language Models
	task	-Oriented Multi-Modal Question Answering For Collaborative Applications
	task	-Oriented Network Design for Visual Tracking and Motion Filtering of Needle Tip Under 2D Ultrasound
	task	-Oriented Network for Image Dehazing
	task	-Oriented Object Tracking in Large Distributed Camera Networks
	task	-Oriented Spatial Graph Structure Learning Method for Traffic Forecasting, A
	task	-Oriented Tool Manipulation With Robotic Dexterous Hands: A Knowledge Graph Approach From Fingers to Functionality
	task	-Oriented Vision with Multiple Bayes Nets
	task	-Oriented Visualization Approaches for Landscape and Urban Change Analysis
	task	-related population characteristics in handwriting analysis
	task	-relevant object detection and tracking
	task	-Risk Consistency Object Detection Framework Based on Deep Reinforcement Learning, A
	task	-Sensitive Efficient Feature Extraction Network for Oriented Object Detection in Remote Sensing Images
	task	-Specific Contour Tracker for Ultrasound, A
	task	-specific contrastive learning for few-shot remote sensing image scene classification
	task	-specific dependency-based word embedding methods
	task	-Specific Electroencephlogram Analysis: A Novel ICA and Dynamic Multi-Stage Clustering Approach for Neural Signal Processing
	task	-specific evaluation of three-dimensional image interpolation techniques, A
	task	-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
	task	-Specific Gesture Analysis in Real-Time Using Interpolated Views
	task	-Specific Gradient Adaptation for Few-Shot One-Class Classification
	task	-Specific Image Partitioning
	task	-Specific Importance-Awareness Matters: On Targeted Attacks Against Object Detection
	task	-specific Inconsistency Alignment for Domain Adaptive Object Detection
	task	-specific information for imaging system analysis
	task	-Specific Loss for Robust Instance Segmentation With Noisy Class Labels
	task	-Specific Normalization for Continual Learning of Blind Image Quality Models
	task	-specific Novel Object Characterization
	task	-Specific Performance Evaluation of UGVs: Case Studies at the IVFC
	task	-Specific Spatiotemporal Context-Aware Decoupling for Occluded Video Object Detection
	task	-Specific Utility in a General Bayes net Vision System
	task	-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks
	task	-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks
	task	-to-Instance Prompt Learning for Vision-Language Models at Test Time
	task	2Box: Box Embeddings for Modeling Asymmetric Task Relationships
	task	2Vec: Task Embedding for Meta-Learning
	task	Expert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
	task	ing Teams: Supervisory Control and Task Management of Autonomous Unmanned Systems
	task	ology: Utilizing Task Relations at Scale
	task	onomy: Disentangling Task Transfer Learning
	task	s Integrated Networks: Joint Detection and Retrieval for Image Search
	task	s of the Crowd: A Typology of Tasks in Geographic Information Crowdsourcing and a Case Study in Humanitarian Mapping, The
	task	s of the Crowd: A Typology of Tasks in Geographic Information Crowdsourcing and a Case Study in Humanitarian Mapping, The
TASTE-Rob: Advancing Video Generation of	task	-Oriented Hand-Object Interaction for Generalizable Robotic Manipulation
Taxi Demand Prediction Using Parallel Multi-	task	Learning Model
TDViT: Temporal Dilated Video Transformer for Dense Video	task	s
Teaching a Robot to Perform	task	through Imitation and On-line Feedback
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding	task	s
Temporal Action Proposal Generation via Multi-	task	Feature Learning
Temporal Interpolation as an Unsupervised Pretraining	task	for Optical Flow Estimation
Temporal Segmentation of	task	s from Human Hand Motion
Tensor Multi-	task	Learning for Person Re-Identification
Ternary Feature Masks: zero-forgetting for	task	-incremental learning
Test-Time Fine-Tuning of Image Compression Models for Multi-	task	Adaptability
Testing Some Improvements of the Fukunaga and Narendra's Fast Nearest Neighbour Search Algorithm in a Spelling	task
TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture With a Multi-	task	Cascade
TFUT:	task	fusion upward transformer model for multi-task learning on dense prediction
TFUT:	task	fusion upward transformer model for multi-task learning on dense prediction
Three Birds with One Stone: Multi-	task	Temporal Action Detection via Recycling Temporal Annotations
Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediction	task	s
Three-Dimensional Magnetotelluric Forward Modeling Using Multi-	task	Deep Learning with Branch Point Selection
TIAR-SAR: An Oriented SAR Ship Detector Combining a	task	Interaction Head Architecture with Composite Angle Regression
Tibetan Thangka data set and relative	task	s, A
TimberVision: A Multi-	task	Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations
Time-aware and	task	-transferable adversarial attack for perception of autonomous vehicles
TL;DW? Summarizing Instructional Videos with	task	Relevance and Cross-Modal Saliency
TLCO: Topological Link-Aware	task	Co-Offloading Method for Joint V2V and V2I System
To Complete or to Estimate, That is the Question: A Multi-	task	Approach to Depth Completion and Monocular Depth Estimation
Token Cropr: Faster ViTs for Quite a Few	task	s
TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through	task	Tokenization
TOOD:	task	-aligned One-stage Object Detection
TOODIB:	task	-aligned one-stage object detection with interactions between branches
Top-Down Visual Attention for Efficient Rendering of	task	Related Scenes
TOPLight: Lightweight Neural Networks with	task	-Oriented Pretraining for Visible-Infrared Recognition
Torch-Points3D: A Modular Multi-	task	Framework for Reproducible Deep Learning on 3D Point Clouds
Toward Automatic Robot Instruction from Perception: Temporal Segmentation of	task	s from Human Hand Motion
Toward correlating and solving abstract	task	s using convolutional neural networks
Toward Edge-Efficient Dense Predictions with Synergistic Multi-	task	Neural Architecture Search
Toward Multi-	task	Generalization in Autonomous Navigation: A Human-in-the-Loop Adversarial Reinforcement Learning With Diffusion Policy
Toward Robust Visual Object Tracking With Independent Target-Agnostic Detection and Effective Siamese Cross-	task	Interaction
Toward	task	-Independent Optimal Adaptive Control of a Hip Exoskeleton for Locomotion Assistance in Neurorehabilitation
Towards a Real-time Framework for Visual Monitoring	task	s
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language	task	s via Semantic Grounding
Towards an Assembly Plan from Observation, Part I:	task	Recognition with Polyhedral Objects
Towards an Assembly Plan from Observation:	task	Recognition with Polyhedral Objects
Towards Consistent Multi-	task	Learning: Unlocking the Potential of Task-Specific Parameters
Towards Consistent Multi-	task	Learning: Unlocking the Potential of Task-Specific Parameters
Towards General Purpose Vision Systems: An End-to-End	task	-Agnostic Vision-Language Architecture
Towards Lightweight Transformer Via Group-Wise Transformation for Vision-and-Language	task	s
Towards scheduling hard real-time image processing	task	s on a single GPU
Towards	task	Sampler Learning for Meta-Learning
Towards	task	-Generic Image Compression: A Study of Semantics-Oriented Metrics
Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential	task	s Using Temporal Pruning
Towards Universal Dataset Distillation via	task	-Driven Diffusion
Towards Weakly-Supervised Text Spotting using a Multi-	task	Transformer
Tracking Dynamic Flow: Decoding Flow Fluctuations Through Performance in a Fine Motor Control	task
Tracking techniques for visual servoing	task	s
Tracking via Robust Multi-	task	Multi-View Joint Sparse Representation
Traffic Prediction With Missing Data: A Multi-	task	Learning Approach
Traffic Sign Recognition Using a Multi-	task	Convolutional Neural Network
Traffic Sign Recognition via Multi-Modal Tree-Structure Embedded Multi-	task	Learning
Training a	task	-Specific Image Reconstruction Loss
Training for	task	Specific Keypoint Detection
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-	task	s
Training Neural Networks on RAW and HDR Images for Restoration	task	s
Training of Multiple and Mixed	task	s with a Single Network Using Feature Modulation
Trajectory representation learning for Multi-	task	NMRDP planning
Transfer Learning from Other	task	s, Other Classes
Transfer learning in computer vision	task	s: Remember where you come from
Transfer Learning via Unsupervised	task	Discovery for Visual Question Answering
Transferability and Hardness of Supervised Classification	task	s
Transferring and Adapting Source Knowledge (	task	) in Computer Vision (CV)
Transformer with	task	Selection for Continual Learning
Transition in Different Critical Situations: How Non-Driving Related	task	s Affect Drivers' Physiological Response and Takeover Behavior After Partial Automation Silent Failures
TransNAS-Bench-101: Improving transferability and Generalizability of Cross-	task	Neural Architecture Search
TripleS: Mitigating multi-	task	learning conflicts for semantic change detection in high-resolution remote sensing imagery
TRNR:	task	-Driven Image Rain and Noise Removal With a Few Images Based on Patch Analysis
TSP-Transformer:	task	-Specific Prompts Boosted Transformer for Holistic Scene Understanding
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization	task	s
TWM: A framework for creating highly compressible videos targeted to computer vision	task	s
Two Body Problem: Collaborative Visual	task	Completion
Two by Two: Learning Multi-	task	Pairwise Objects Assembly for Generalizable Robot Manipulation
Two-aspect Information Interaction Model for ABAW4 Multi-	task	Challenge
Two-dimensional cellular automata of radius one for density classification	task
Two-Level Attention with Multi-	task	Learning for Facial Emotion Estimation
Two-level attention with two-stage multi-	task	learning for facial emotion recognition
Two-Level Multi-	task	Metric Learning with Application to Multi-Classification
Two-Stream Multi-	task	Network for Fashion Recognition
Two-stream person re-identification with multi-	task	deep neural networks
U-Tell: Unsupervised	task	Expert Lifelong Learning
UlcerMTL: Multi-	task	Learning for Classification and Segmentation of Diabetic Foot Ulcers
UM-Adapt: Unsupervised Multi-	task	Adaptation Using Adversarial Cross-Task Distillation
UM-Adapt: Unsupervised Multi-	task	Adaptation Using Adversarial Cross-Task Distillation
UMD-Net: A Unified Multi-	task	Assistive Driving Network Based on Multimodal Fusion
Uncalibrated Visual	task	s via Linear Interaction
Uncertain Facial Expression Recognition via Multi-	task	Assisted Correction
Uncovering Communities of Pipelines in the	task	-FMRI Analytical Space
Uncrewed Aerial Vehicle (UAV)-Based High-Throughput Phenotyping of Maize Silage Yield and Nutritive Values Using Multi-Sensory Feature Fusion and Multi-	task	Learning with Attention Mechanism
Understanding and Predicting Temporal Visual Attention Influenced by Dynamic Highlights in Monitoring	task
Understanding Multi-	task	Activities from Single-Task Videos
Understanding Multi-	task	Activities from Single-Task Videos
Understanding tools:	task	-oriented object modeling, learning and recognition
UNET-Based Multi-	task	Architecture for Brain Lesion Segmentation
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language	task	s
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language	task	s
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot	task	s
UniAV: Unified Audio-Visual Perception for Multi-	task	Video Event Localization
UniDCP: Unifying Multiple Medical Vision-Language	task	s via Dynamic Cross-Modal Learnable Prompts
Unified Image Compression Method for Human Perception and Multiple Vision	task	s, A
Unified Multi-	task	Learning Architecture for Fast and Accurate Pedestrian Detection, A
UniFormaly: Towards	task	-agnostic unified framework for visual anomaly detection
Unifying Top-Down Views by	task	-Specific Domain Adaptation
Unimodal Multi-	task	Fusion for Emotional Mimicry Intensity Prediction
UniNet: A Unified Scene Understanding Network and Exploring Multi-	task	Relationships through the Lens of Adversarial Attacks
UniRestore: Unified Perceptual and	task	-Oriented Image Restoration Model Using Diffusion Prior
Universal Representations: A Unified Look at Multiple	task	and Domain Learning
Unleash the Black Magic in Age: A Multi-	task	Deep Neural Network Approach for Cross-Age Face Verification
UnLoc: A Unified Framework for Video Localization	task	s
Unsupervised Domain Adaptation From Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained	task	Networks
Unsupervised domain adaptation using eigenanalysis in kernel space for categorisation	task	s
Unsupervised Encoder-decoder Model for Anomaly Prediction	task
Unsupervised Image Restoration With Quality-	task	-Perception Loss
Unsupervised Image Style Embeddings for Retrieval and Recognition	task	s
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and	task	Re-Weighting
Unsupervised learning of multi-	task	deep variational model
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval	task	s
Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation	task	s
Unsupervised Multi-	task	Domain Adaptation
Unsupervised Multi-	task	Feature Learning on Point Clouds
Unsupervised Multi-	task	Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation
Unsupervised Multi-	task	Learning with Hierarchical Data Structure
Unsupervised Pre-training for Temporal Action Localization	task	s
Unsupervised Reinforcement Learning for Multi-	task	Autonomous Driving: Expanding Skills and Cultivating Curiosity
Unsupervised Variational Translator for Bridging Image Restoration and High-level Vision	task	s
Unveiling Groups of Related	task	s in Multi-Task Learning
Unveiling Groups of Related	task	s in Multi-Task Learning
Upper-Limb Posture Definition During Grasping with	task	and Environment Constraints
Use of BCI Systems in the Analysis of EEG Signals for Motor and Speech Imagery	task	?: A SLR
Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection	task	Performance for Data That are Not Multivariate Normal
Using a Binary Diffractive Optical Element to Increase the Imaging System Depth of Field in UAV Remote Sensing	task	s
Using a semantic edge-aware multi-	task	neural network to delineate agricultural parcels from remote sensing images
Using difference features effectively: A multi-	task	network for exploring change areas and change moments in time series remote sensing images
Using Fourier/Mellin-based correlators and their fractional versions in navigational	task	s
Using Virtual Active Vision Tools to Improve Autonomous Driving	task	s
Using Wiimote for 2D and 3D Pointing	task	s: Gesture Performance Evaluation
Using Wireless EEG Signals to Assess Memory Workload in the n-Back	task
UTC: A Unified Transformer with Inter-	task	Contrastive Learning for Visual Dialog
V2PNet: A Voxel-to-Point Network Framework for	task	-Oriented Point Cloud Sampling
Vacant Parking Space Detection based on	task	Consistency and Reinforcement Learning
Validation of Portable Mobile Mapping System for Inspection	task	s in Thermal and Fluid-Mechanical Facilities
Validity of Three-Class Hotelling Trace (3-HT) in Describing Three-Class	task	Performance: Comparison of Three-Class Volume Under ROC Surface (VUS) and 3-HT, The
Variable Fractional Network Evolutionary Game for Distributed Resilient	task	Allocation in Heterogeneous Multi-Robot Systems
Variable multi-scale attention fusion network and adaptive correcting gradient optimization for multi-	task	learning
VC-Dimension Analysis of Object Recognition	task	s
Vector Quantization Enhancement for Computer Vision	task	s
Vehicle Detection in UAV Images via Background Suppression Pyramid Network and Multi-Scale	task	Adaptive Decoupled Head
Vehicular	task	Offloading and Job Scheduling Method Based on Cloud-Edge Computing
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-	task	Geometric and Semantic Scene Understanding Approach
Versatilegaussian: Real-time Neural Rendering for Versatile	task	s Using Gaussian Splatting
Vertebroplasty Performance on Simulator for 19 Surgeons Using Hierarchical	task	Analysis
VHS to HDTV Video Translation Using Multi-	task	Adversarial Learning
Vibrotactile Reaction Time	task	to Measure Cognitive Performance in Virtual and Real Environments, A
Video Anomaly Detection via self-supervised and spatio-temporal proxy	task	s learning
Video Anomaly Detection via Sequentially Learning Multiple Pretext	task	s
Video Completion in Digital Stabilization	task	Using Pseudo-panoramic Technique
Video Enhancement with	task	-Oriented Flow
Video	task	Decathlon: Unifying Image and Video Tasks in Autonomous Driving
Video	task	Decathlon: Unifying Image and Video Tasks in Autonomous Driving
Video Visualization and Visual Analytics: A	task	-Based and Application- Driven Investigation
Video-Analytics	task	-Aware Quad-Tree Partitioning and Quantization for HEVC
Viewpoint Selection for Visual Search	task	s
Viewport-Based CNN: A Multi-	task	Approach for Assessing 360° Video Quality
Vifa: An Efficient Visible and Infrared Image Fusion Architecture for Multi-	task	Applications via Continual Learning
Virtual Reality is Better Than Desktop for Training a Spatial Knowledge	task	, but Not for Everyone
Virtual	task	s but Real Gains: Improving Multi-Task Learning
Virtual	task	s but Real Gains: Improving Multi-Task Learning
Vision-Based Fuzzy Controllers for Navigation	task	s
Vision-Based Target Objects Recognition and Segmentation for Unmanned Systems	task	Allocation
Vision-Language Models for Vision	task	s: A Survey
Vision-Language Models Performing Zero-Shot	task	s Exhibit Disparities Between Gender Groups
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning	task	s
Vision-to-Language	task	s Based on Attributes and Attention Mechanism
VisionHub: Learning	task	-Plugins for Efficient Universal Vision Model
VisionlLaMA: A Unified LLaMA Backbone for Vision	task	s
VisionScores - A System-Segmented Image Score Dataset for Deep Learning	task	s
Visual Compliance:	task	-Directed Visual Servo Control
Visual Components of an Automated Inspection	task	, The
Visual Control of Grasping and Manipulation	task	s
Visual Exemplar Driven	task	-Prompting for Unified Perception in Autonomous Driving
Visual lane analysis and higher-order	task	s: a concise review
Visual Objectification in Films: Towards a New AI	task	for Video Interpretation
Visual Perception in Familiar, Complex	task	s
Visual Person Understanding Through Multi-	task	and Multi-dataset Learning
Visual Question Answering as a Meta Learning	task
Visual Question Generation as Dual	task	of Visual Question Answering
Visual Recognition of Manual	task	s Using Object Motion Trajectories
Visual robot guidance for an insertion	task
Visual Servoing in the	task	-Function Framework: A Contour Following Task
Visual Servoing in the	task	-Function Framework: A Contour Following Task
Visual Space	task	Specification, Planning and Control
Visual speaker authentication with random prompt texts by a dual-	task	CNN framework
Visual State Recognition for a Target-reaching	task
Visual tracking via adaptive multi-	task	feature learning with calibration and identification
Visual-Language Multi-	task	Blind Image Quality Assessment With Local Quality Weighting
visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification	task	s, A
Visually multimodal depression assessment based on key questions with weighted multi-	task	learning
Visually-Guided Audio Spatialization in Video with Geometry-Aware Multi-	task	Learning
VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language	task	s
VL2Lite:	task	-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks
VLTP: Vision-Language Guided Token Pruning for	task	-Oriented Segmentation
Vulnerability-Aware	task	Scheduling for Edge Intelligence Empowered Trajectory Analysis in Intelligent Transportation Systems
Watching it in Dark: A Target-aware Representation Learning Framework for High-level Vision	task	s in Low Illumination
Water Flow Detection in a Handwashing	task
Water level prediction from social media images with a multi-	task	ranking approach
WaterScenes: A Multi-	task	4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces
Weakly Supervised Actor-Action Segmentation via Robust Multi-	task	Ranking
Weakly Supervised Multi-	task	Ranking Framework for Actor-Action Semantic Segmentation, A
Weakly-Supervised Action Learning in Procedural	task	Videos via Process Knowledge Decomposition
WeakMCN: Multi-	task	Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
wearable augmented reality system with haptic feedback and its performance in virtual assembly	task	s, A
Weather-degraded image semantic segmentation with multi-	task	knowledge distillation
Web User Interact	task	Recognition Based on Conditional Random Fields
What contextual and demographic factors predict drivers' decision to engage in secondary	task	s?
What Matters For Meta-Learning Vision Regression	task	s?
What Object Should I Use? -	task	Driven Object Detection
What Sketch Explainability Really Means for Downstream	task	s?
What	task	s can be Performed with an Uncalibrated Stereo Vision System?
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-	task	Learning Framework
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-	task	Learning Framework and a New Benchmark
When Deep Learning Meets Multi-	task	Learning in SAR ATR: Simultaneous Target Recognition and Segmentation
When Domain Generalization meets Generalized Category Discovery: An Adaptive	task	-Arithmetic Driven Approach
When Will We Arrive? A Novel Multi-	task	Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time
Where and Why are They Looking? Jointly Inferring Human Attention and Intentions in Complex	task	s
Why Is It Important to Consider Dust Aerosol in the Sevastopol and Black Sea Region during Remote Sensing	task	s? A Case Study
Wide Evaluation of ChatGPT on Affective Computing	task	s, A
WoodScape: A Multi-	task	, Multi-Camera Fisheye Dataset for Autonomous Driving
X-DETR: A Versatile Architecture for Instance-wise Vision-Language	task	s
X-Learner: Learning Cross Sources and	task	s for Universal Visual Representation
X2-VLM: All-in-One Pre-Trained Model for Vision-Language	task	s
X3KD: Knowledge Distillation Across Modalities,	task	s and Stages for Multi-Camera 3D Object Detection
YOLOPX: Anchor-free multi-	task	learning network for panoptic driving perception
You Only Learn One Query: Learning Unified Human Query for Single-stage Multi-person Multi-	task	Human-centric Perception
You-Do, I-Learn: Discovering	task	Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video
Zero-Shot	task	Transfer
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision	task	s
ZooKT:	task	-adaptive knowledge transfer of Model Zoo for few-shot learning

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