| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 87.4% | LIFT (ViT-L/14@336px) | 2023-09-18 |
| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 85.2% | LIFT (ViT-L/14) | 2023-09-18 |
| Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels | ✓ Link | 82.1% | GML (ViT-B-16) | 2023-05-02 |
| VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition | ✓ Link | 81.0% | VL-LTR (ViT-B-16) | 2021-11-26 |
| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 80.4% | LIFT (ViT-B/16) | 2023-09-18 |
| Retrieval Augmented Classification for Long-Tail Visual Recognition | | 80.24% | RAC (ViT-B-16) | 2022-02-22 |
| Generalized Parametric Contrastive Learning | ✓ Link | 79.8% | GPaCo (2-R152) | 2022-09-26 |
| Generalized Parametric Contrastive Learning | ✓ Link | 78.1% | GPaCo (ResNet-152) | 2022-09-26 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition | ✓ Link | 77% | TADE(ResNet-152) | 2021-07-20 |
| Probabilistic Contrastive Learning for Long-Tailed Visual Recognition | ✓ Link | 75.8% | ProCo (ResNet50) | 2024-03-11 |
| MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition | ✓ Link | 75.6% | MDCS(Resnet50) | 2023-08-19 |
| Generalized Parametric Contrastive Learning | ✓ Link | 75.4% | GPaCo (ResNet-50) | 2022-09-26 |
| Class-Balanced Distillation for Long-Tailed Visual Recognition | ✓ Link | 75.3% | CBD-ENS (ResNet-101) | 2021-04-12 |
| Parametric Contrastive Learning | ✓ Link | 75.2% | PaCo(ResNet-152) | 2021-07-26 |
| DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets | ✓ Link | 75.1% | DeiT-LT | 2024-04-03 |
| Adaptive Parametric Activation | ✓ Link | 74.8 | APA (SE-ResNet-50) | 2024-07-11 |
| VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition | ✓ Link | 74.6% | VL-LTR (ResNet-50) | 2021-11-26 |
| Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels | ✓ Link | 74.5% | GML (ResNet-50) | 2023-05-02 |
| Nested Collaborative Learning for Long-Tailed Visual Recognition | ✓ Link | 74.2% | NCL(ResNet-50) | 2022-03-29 |
| BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning | ✓ Link | 74.1% | BatchFormer(ResNet-50, RIDE) | 2022-03-03 |
| Class-Balanced Distillation for Long-Tailed Visual Recognition | ✓ Link | 73.6% | CBD-ENS (ResNet-50) | 2021-04-12 |
| Distilling Virtual Examples for Long-tailed Recognition | ✓ Link | 73.44% | RIDE-DiVE | 2021-03-28 |
| Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition | ✓ Link | 73.21% | DirMixE | 2024-05-13 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition | ✓ Link | 72.9% | TADE | 2021-07-20 |
| ResLT: Residual Learning for Long-tailed Recognition | ✓ Link | 72.9% | ResLT(3 experts) | 2021-01-26 |
| Long-tailed Recognition by Routing Diverse Distribution-Aware Experts | ✓ Link | 72.2% | RIDE | 2020-10-05 |
| Balanced Contrastive Learning for Long-Tailed Visual Recognition | ✓ Link | 71.8% | BCL(ResNet-50) | 2022-07-19 |
| Distilling Virtual Examples for Long-tailed Recognition | ✓ Link | 71.71% | DiVE | 2021-03-28 |
| Improving Calibration for Long-Tailed Recognition | ✓ Link | 71.6% | MiSLAS | 2021-04-01 |
| Distribution Alignment: A Unified Framework for Long-tail Visual Recognition | ✓ Link | 70.6% | DisAlign | 2021-03-30 |
| RSG: A Simple but Effective Module for Learning Imbalanced Datasets | ✓ Link | 70.3% | LDAM-DRS-RSG | 2021-06-18 |
| Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition | | 70.2 | IEM | 2020-06-01 |
| Long-Tailed Recognition via Weight Balancing | ✓ Link | 70.2% | LTR-weight-balancing(ResNet-50) | 2022-03-27 |
| Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data | ✓ Link | 70.1 | LDAM + DRW + SAM | 2022-12-28 |
| Disentangling Label Distribution for Long-tailed Visual Recognition | ✓ Link | 70.0% | LADE | 2020-12-01 |
| Targeted Supervised Contrastive Learning for Long-Tailed Recognition | ✓ Link | 69.7% | TSC(ResNet-50) | 2021-11-27 |
| Decoupling Representation and Classifier for Long-Tailed Recognition | ✓ Link | 69.5% | CB-LWS | 2019-10-21 |
| MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition | ✓ Link | 68.75% | MetaSAug | 2021-03-23 |
| Rethinking the Value of Labels for Improving Class-Imbalanced Learning | ✓ Link | 68.1% | cRT + SSP | 2020-06-13 |
| Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification | | 68.1% | Hybrid-PSC | 2021-03-26 |
| Posterior Re-calibration for Imbalanced Datasets | | 67.9% | CE-DRW-IC | 2020-10-22 |
| Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective | ✓ Link | 67.5% | Domain Adaptation | 2020-03-24 |
| Feature Space Augmentation for Long-Tailed Data | | 65.9% | Online Feature Augmentation | 2020-08-09 |