| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 8.7 | LIFT (ViT-B/16, ImageNet-21K pre-training) | 2023-09-18 |
| LPT: Long-tailed Prompt Tuning for Image Classification | ✓ Link | 9 | LPT | 2022-10-03 |
| Visual Prompt Tuning | ✓ Link | 10.4 | VPT | 2022-03-23 |
| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 15.1 | LIFT (ViT-B/16, CLIP) | 2023-09-18 |
| Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions | ✓ Link | 25.72 | GLMC+MaxNorm (ResNet-32, channel x4) | 2023-05-15 |
| Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions | ✓ Link | 26.53 | GLMC (ResNet-34, channel x4) | 2023-05-15 |
| SURE: SUrvey REcipes for building reliable and robust deep networks | ✓ Link | 26.76 | SURE(ResNet-32) | 2024-03-01 |
| Learning Prototype Classifiers for Long-Tailed Recognition | ✓ Link | 30.88 | PC | 2023-02-01 |
| Long-Tailed Recognition via Weight Balancing | ✓ Link | 31.33 | LTR-weight-balancing | 2022-03-27 |
| Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels | ✓ Link | 33.0 | GML (ResNet-32) | 2023-05-02 |
| A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. paper with code | ✓ Link | 34.41 | VS + ADRW + TLA | 2023-10-07 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition | ✓ Link | 34.78 | Difficulty-Net | 2022-09-07 |
| CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition | ✓ Link | 35.4 | BCL+CUDA | 2023-02-10 |
| Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation | | 35.5 | GLAG | 2022-02-28 |
| Long-tailed Recognition by Learning from Latent Categories | | 35.8 | LCReg | 2022-06-02 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition | ✓ Link | 36.4 | TADE | 2021-07-20 |
| Distributional Robustness Loss for Long-tail Learning | | 36.59 | DRO-LT | 2021-04-07 |
| Improving Calibration for Long-Tailed Recognition | ✓ Link | 36.8 | MiSLAS | 2021-04-01 |
| Supervised Contrastive Learning on Blended Images for Long-tailed Recognition | | 37.5 | SMC | 2022-11-22 |
| Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification | | 37.63 | Hybrid-PSC | 2021-03-26 |
| Disentangling Label Distribution for Long-tailed Visual Recognition | ✓ Link | 38.3 | LADE | 2020-12-01 |
| Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds | ✓ Link | 38.60 | RIDE + CMO + Curvature Regularization | 2023-03-22 |
| MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition | ✓ Link | 38.72 | MetaSAug-LDAM | 2021-03-23 |
| Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective | ✓ Link | 38.75 | UniMix+Bayias (ResNet-32) | 2021-11-06 |
| Feature Generation for Long-tail Classification | ✓ Link | 38.87 | CBD+TailCalibX | 2021-11-10 |
| A Simple Episodic Linear Probe Improves Visual Recognition in the Wild | ✓ Link | 40.9 | ELP | 2022-01-01 |
| Rethinking the Value of Labels for Improving Class-Imbalanced Learning | ✓ Link | 41.09 | LDAM-DRW + SSP | 2020-06-13 |
| From Generalized zero-shot learning to long-tail with class descriptors | ✓ Link | 41.23 | smDRAGON | 2020-04-05 |
| Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance | ✓ Link | 41.26 | CDB-loss | 2020-10-05 |
| Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss | ✓ Link | 41.29 | LDAM-DRW | 2019-06-18 |
| Posterior Re-calibration for Imbalanced Datasets | | 41.4 | CE-DRW-IC | 2020-10-22 |