| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 9.8 | LIFT (ViT-B/16, ImageNet-21K pre-training) | 2023-09-18 |
| LPT: Long-tailed Prompt Tuning for Image Classification | ✓ Link | 10 | LPT | 2022-10-03 |
| Visual Prompt Tuning | ✓ Link | 15.2 | VPT | 2022-03-23 |
| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 16.9 | LIFT (ViT-B/16, CLIP) | 2023-09-18 |
| Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data | ✓ Link | 34.72 | GLMC + SAM | 2022-12-28 |
| Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions | ✓ Link | 36.15 | GLMC (ResNet-34, channel x4) | 2023-05-15 |
| SURE: SUrvey REcipes for building reliable and robust deep networks | ✓ Link | 36.87 | SURE(ResNet-32) | 2024-03-01 |
| DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets | ✓ Link | 39.5 | DeiT-LT | 2024-04-03 |
| MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition | ✓ Link | 39.9 | MDCS | 2023-08-19 |
| Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images | ✓ Link | 40.2 | OPeN (WideResNet-28-10) | 2021-12-16 |
| Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels | ✓ Link | 41.9 | GML (ResNet-32) | 2023-05-02 |
| Learning Prototype Classifiers for Long-Tailed Recognition | ✓ Link | 42.25 | PC | 2023-02-01 |
| Long-Tailed Recognition via Weight Balancing | ✓ Link | 42.29 | LTR-weight-balancing | 2022-03-27 |
| Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation | ✓ Link | 42.6 | ConCutMix | 2024-07-06 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition | ✓ Link | 43.1 | Difficulty-Net | 2022-09-07 |
| Nested Collaborative Learning for Long-Tailed Visual Recognition | ✓ Link | 43.2 | NCL(ResNet32) | 2022-03-29 |
| Balanced Contrastive Learning for Long-Tailed Visual Recognition | ✓ Link | 43.4 | BCL(ResNet-32) | 2022-07-19 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition | ✓ Link | 46.1 | TADE | 2021-07-20 |
| Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment | ✓ Link | 46.4 | GCL | 2023-05-19 |
| Improving Calibration for Long-Tailed Recognition | ✓ Link | 47.7 | MiSLAS | 2021-04-01 |
| MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition | ✓ Link | 47.73 | MetaSAug-LDAM | 2021-03-23 |
| Feature Generation for Long-tail Classification | ✓ Link | 49.1 | CBD+TailCalibX | 2021-11-10 |
| Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification | | 51.07 | Hybrid-PSC | 2021-03-26 |
| RSG: A Simple but Effective Module for Learning Imbalanced Datasets | ✓ Link | 51.5 | LDAM-DRW-RSG | 2021-06-18 |
| Rethinking the Value of Labels for Improving Class-Imbalanced Learning | ✓ Link | 52.89 | LDAM-DRW + SSP | 2020-06-13 |