| Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions | ✓ Link | 10.42 | GLMC+MaxNorm (ResNet-34, channel x4) | 2023-05-15 |
| Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data | ✓ Link | 10.82 | GLMC + SAM | 2022-12-28 |
| LPT: Long-tailed Prompt Tuning for Image Classification | ✓ Link | 10.9 | LPT | 2022-10-03 |
| Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions | ✓ Link | 11.50 | GLMC (ResNet-34, channel x4) | 2023-05-15 |
| DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets | ✓ Link | 12.5 | DeiT-LT | 2024-04-03 |
| SURE: SUrvey REcipes for building reliable and robust deep networks | ✓ Link | 13.07 | SURE(ResNet-32) | 2024-03-01 |
| A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. paper with code | ✓ Link | 13.58 | VS + ADRW + TLA | 2023-10-07 |
| Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images | ✓ Link | 13.9 | OPeN (WideResNet-28-10) | 2021-12-16 |
| Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation | ✓ Link | 13.93 | ConCutMix | 2024-07-06 |
| Self-supervised Learning is More Robust to Dataset Imbalance | ✓ Link | 14.4 | SimSiam+rwSAM | 2021-10-11 |
| Nested Collaborative Learning for Long-Tailed Visual Recognition | ✓ Link | 15.3 | NCL(ResNet32) | 2022-03-29 |
| Weight-guided class complementing for long-tailed image recognition | | 15.4 | NCL* + WGCC (ensemble) | 2023-02-03 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition | ✓ Link | 16.2 | TADE | 2021-07-20 |
| Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition | ✓ Link | 16.74 | DirMixE | 2024-05-13 |
| Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment | ✓ Link | 17.32 | GCL | 2023-05-19 |
| Feature-Balanced Loss for Long-Tailed Visual Recognition | ✓ Link | 17.54 | FBL (ResNet-32) | 2023-05-18 |
| Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data | ✓ Link | 17.6 | VS + SAM | 2022-12-28 |
| Improving Calibration for Long-Tailed Recognition | ✓ Link | 17.9 | MiSLAS | 2021-04-01 |
| ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot | | 18.6 | ACE (4 experts) | 2021-08-05 |
| MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition | ✓ Link | 19.34 | MetaSAug-LDAM | 2021-03-23 |
| Trustworthy Long-Tailed Classification | ✓ Link | 19.6 | TLC (4 experts) | 2021-11-17 |
| From Generalized zero-shot learning to long-tail with class descriptors | ✓ Link | 20.37 | smDRAGON | 2020-04-05 |
| Do Deep Networks Transfer Invariances Across Classes? | ✓ Link | 21.24 | CE+DRS+GIT | 2022-03-18 |
| Targeted Supervised Contrastive Learning for Long-Tailed Recognition | ✓ Link | 21.3 | TSC(ResNet-32) | 2021-11-27 |
| A Simple Episodic Linear Probe Improves Visual Recognition in the Wild | ✓ Link | 22 | ELP | 2022-01-01 |
| Rethinking the Value of Labels for Improving Class-Imbalanced Learning | ✓ Link | 22.17 | LDAM-DRW + SSP | 2020-06-13 |
| Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss | ✓ Link | 22.97 | LDAM-DRW | 2019-06-18 |
| Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? | ✓ Link | 23.5 | ETF Classifier + DR (Resnet) | 2022-03-17 |