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

Few-Shot Action Recognition via Multi-View Representation Learning

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

FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning

Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition

Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition

PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation

PERSONALIZED FEDERATED LEARNING ON LONG-TAILED DATA VIA ADVERSARIAL FEATURE AUGMENTATION

Federated Semi-Supervised Learning with Annotation Heterogeneity

PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition

DGRNet: A Dual-Level Graph Relation Network for Video Object Detection

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation

Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking

TCNet: A Novel Triple-Cooperative Network for Video Object Detection

Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation

DQFORMER: Dynamic Query Transformer for Lane Detection

Label-Noise Learning with Intrinsically Long-Tailed Data

Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection

Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples

FEDIC: FEDERATED LEARNING ON NON-IID AND LONG-TAILED DATA VIA CALIBRATED DISTILLATION

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

Triplet Relationship Guided Sampling Consensus for Robust Model Estimation

Dual Selection Network for Video Object Detection

FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation

Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment

GUIDED SAMPLING BASED FEATURE AGGREGATION FOR VIDEO OBJECT DETECTION

EGNET: A NOVEL EDGE GUIDED NETWORK FOR INSTANCE SEGMENTATION

SCINET: SEMANTIC CUE INFUSION NETWORK FOR LANE DETECTION

MULTI-FOCUS GUIDED SEMANTIC AGGREGATION FOR VIDEO OBJECT DETECTION

BOUNDING BOX DISTRIBUTION LEARNING AND CENTER POINT CALIBRATION FOR ROBUST VISUAL TRACKING

Embedding Adaptation Network with Transformer for Few-Shot Action Recognition

Long-tailed visual recognition via gaussian clouded logit adjustment

Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification

Recurrent Context Aggregation Network for Single Image Dehazing

Motion Consistency Guided Robust Geometric Model Fitting With Severe Outliers

Small-Vote Sample Selection for Label-Noise Learning

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem

Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift