IMC-Det: Intra-Inter Modality Contrastive Learning for Video Object Detection

Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning

Wavelet-domain feature decoupling for weakly supervised multi-object tracking

Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification

Transitive Vision-Language Prompt Learning for Domain Generalization

Dynamically Anchored Prompting for Task-Imbalanced Continual Learning

CLIP-Guided Federated Learning on Heterogeneous and Long-Tailed Data

Federated Learning with Extremely Noisy Clients via Negative Distillation

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition

Combating Label Noise by Uncertainty-Aware Neighborhood Sample Selection

Federated learning on non-IID and globally long-tailed data via meta re-weighting networks

Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition

GMAE: Representation Learning on Graph via Masked Graph Autoencoders

An Effective Visible-Infrared Person Re-identification Network Based on?Second-Order Attention and?Mixed Intermediate Modality

Cascaded-Scoring Tracklet Matching for Multi-object Tracking

DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data

Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning

Few-Shot Action Recognition via Multi-View Representation Learning