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Contrastive Deep Supervision
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
LocVTP: Video-Text Pre-training for Temporal Localization
Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads
Implicit Neural Representations for Image Compression
LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
Learning Ego 3D Representation As Ray Tracing
Static and Dynamic Concepts for Self-Supervised Video Representation Learning
SphereFed: Hyperspherical Federated Learning
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning
Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning
DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning
CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One
Manifold Adversarial Learning for Cross-Domain 3D Shape Representation
Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling
On the Versatile Uses of Partial Distance Correlation in Deep Learning
Self-Regulated Feature Learning via Teacher-Free Feature Distillation
Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
DAS: Densely-Anchored Sampling for Deep Metric Learning
Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers
UFO: Unified Feature Optimization
Sound Localization by Self-Supervised Time Delay Estimation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
SLIP: Self-Supervision Meets Language-Image Pre-training
Discovering Deformable Keypoint Pyramids
Neural Video Compression Using GANs for Detail Synthesis and Propagation
A Contrastive Objective for Learning Disentangled Representations
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning
Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective
Decoupled Contrastive Learning
Joint Learning of Localized Representations from Medical Images and Reports
The Challenges of Continuous Self-Supervised Learning
Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval
Identifying Hard Noise in Long-Tailed Sample Distribution.
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
LocVTP: Video-Text Pre-training for Temporal Localization
Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads
Implicit Neural Representations for Image Compression
LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
Learning Ego 3D Representation As Ray Tracing
Static and Dynamic Concepts for Self-Supervised Video Representation Learning
SphereFed: Hyperspherical Federated Learning
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning
Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning
DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning
CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One
Manifold Adversarial Learning for Cross-Domain 3D Shape Representation
Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling
On the Versatile Uses of Partial Distance Correlation in Deep Learning
Self-Regulated Feature Learning via Teacher-Free Feature Distillation
Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
DAS: Densely-Anchored Sampling for Deep Metric Learning
Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers
UFO: Unified Feature Optimization
Sound Localization by Self-Supervised Time Delay Estimation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
SLIP: Self-Supervision Meets Language-Image Pre-training
Discovering Deformable Keypoint Pyramids
Neural Video Compression Using GANs for Detail Synthesis and Propagation
A Contrastive Objective for Learning Disentangled Representations
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning
Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective
Decoupled Contrastive Learning
Joint Learning of Localized Representations from Medical Images and Reports
The Challenges of Continuous Self-Supervised Learning
Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval
Identifying Hard Noise in Long-Tailed Sample Distribution.