Co-occurring keywords · papers mentioning both
Papers
Difficulty-Net: Learning To Predict Difficulty for Long-Tailed Recognition
WACV 2023
FCC: Feature Clusters Compression for Long-Tailed Visual Recognition
CVPR 2023
Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions
CVPR 2023
Learning Imbalanced Data With Vision Transformers
CVPR 2023
Learning Prototype Classifiers for Long-Tailed Recognition
IJCAI 2023
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
ICML 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition
ICCV 2023
MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition
AAAI 2023
Mutual Learning for Long-Tailed Recognition
WACV 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
ICCV 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
CVPR 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition
ICML 2023
BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning
CVPR 2022
Long-Tailed Recognition via Weight Balancing
CVPR 2022
Margin Calibration for Long-Tailed Visual
Recognition
ACML 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition
CVPR 2022
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
ICLR 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
ICML 2022
Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance
CVPR 2022
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
NeurIPS 2022
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
CVPR 2022
Visual Representation Learning over Latent Domains
ICLR 2022
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
ICCV 2021
Distilling Virtual Examples for Long-Tailed Recognition
ICCV 2021
Exploring Balanced Feature Spaces for Representation Learning
ICLR 2021