| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 82.9 | LIFT (ViT-L/14) | 2023-09-18 |
| A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems | ✓ Link | 82.5 | µ2Net+ (ViT-L/16) | 2022-09-15 |
| Improving Image Recognition by Retrieving from Web-Scale Image-Text Data | | 82.3 | MAM (ViT-B/16) | 2023-04-11 |
| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 78.3 | LIFT (ViT-B/16) | 2023-09-18 |
| VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition | ✓ Link | 77.2 | VL-LTR (ViT-B-16) | 2021-11-26 |
| A Simple Long-Tailed Recognition Baseline via Vision-Language Model | ✓ Link | 76.5 | BALLAD(ResNet-50×16) | 2021-11-29 |
| A Simple Long-Tailed Recognition Baseline via Vision-Language Model | ✓ Link | 75.7 | BALLAD(ViT-B-16) | 2021-11-29 |
| A Simple Long-Tailed Recognition Baseline via Vision-Language Model | ✓ Link | 70.5 | BALLAD(ResNet-101) | 2021-11-29 |
| VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition | ✓ Link | 70.1 | VL-LTR (ResNet-50) | 2021-11-26 |
| A Simple Long-Tailed Recognition Baseline via Vision-Language Model | ✓ Link | 67.2 | BALLAD(ResNet-50) | 2021-11-29 |
| Generalized Parametric Contrastive Learning | ✓ Link | 63.2 | GPaCo (2-ResNeXt101-32x4d) | 2022-09-26 |
| MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition | ✓ Link | 61.8 | MDCS (ResNeXt-50) | 2023-08-19 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition | ✓ Link | 61.4 | TADE(ResNeXt101-32x4d) | 2021-07-20 |
| Probabilistic Contrastive Learning for Long-Tailed Visual Recognition | ✓ Link | 60.2 | ProCo (ResNet50) | 2024-03-11 |
| Parametric Contrastive Learning | ✓ Link | 60.0 | PaCo(ResNeXt101-32x4d) | 2021-07-26 |
| DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets | ✓ Link | 59.1 | DeiT-LT | 2024-04-03 |
| Adaptive Parametric Activation | ✓ Link | 59.1 | APA (SE-ResNext-50) | 2024-07-11 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition | ✓ Link | 58.8 | TADE(ResNeXt-50) | 2021-07-20 |
| Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels | ✓ Link | 58.8 | GML (ResNeXt-50) | 2023-05-02 |
| Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition | ✓ Link | 58.61 | DirMixE(ResNeXt-50) | 2024-05-13 |
| Nested Collaborative Learning for Long-Tailed Visual Recognition | ✓ Link | 58.4 | NCL(ResNeXt-50) | 2022-03-29 |
| Parametric Contrastive Learning | ✓ Link | 58.2 | PaCo(ResNeXt-50) | 2021-07-26 |
| The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification | ✓ Link | 58.0 | BS-CMO (ResNet-50) | 2021-12-01 |
| Probabilistic Contrastive Learning for Long-Tailed Visual Recognition | ✓ Link | 58.0 | ProCo (ResNeXt50) | 2024-03-11 |
| Adaptive Parametric Activation | ✓ Link | 57.9 | APA (SE-ResNet-50) | 2024-07-11 |
| Class-Balanced Distillation for Long-Tailed Visual Recognition | ✓ Link | 57.7 | CBD-ENS (ResNet-152) | 2021-04-12 |
| ResLT: Residual Learning for Long-tailed Recognition | ✓ Link | 57.6 | ResLT(ResNeXt-50-3 experts) | 2021-01-26 |
| BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning | ✓ Link | 57.4 | BatchFormer(ResNet-50, PaCo) | 2022-03-03 |
| Nested Collaborative Learning for Long-Tailed Visual Recognition | ✓ Link | 57.4 | NCL(ResNet-50) | 2022-03-29 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition | ✓ Link | 57.4 | Difficulty-Net (ResNet-50 using RandAugment, single model) | 2022-09-07 |
| Distilling Virtual Examples for Long-tailed Recognition | ✓ Link | 57.12 | RIDE-DiVE | 2021-03-28 |
| Balanced Contrastive Learning for Long-Tailed Visual Recognition | ✓ Link | 57.1 | BCL(ResNeXt-50) | 2022-07-19 |
| Long-tailed Recognition by Routing Diverse Distribution-Aware Experts | ✓ Link | 56.4 | RIDE (ResNeXt-50) | 2020-10-05 |
| Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions | ✓ Link | 56.3 | GLMC (ResNeXt-50) | 2023-05-15 |
| BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning | ✓ Link | 55.7 | BatchFormer(ResNet-50, RIDE) | 2022-03-03 |
| Class-Balanced Distillation for Long-Tailed Visual Recognition | ✓ Link | 55.6 | CBD-ENS (ResNet-50) | 2021-04-12 |
| ResLT: Residual Learning for Long-tailed Recognition | ✓ Link | 55.1 | ResLT(ResNeXt101-32x4d) | 2021-01-26 |
| Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images | ✓ Link | 55.1 | OPeN (ResNeXt-50) | 2021-12-16 |
| Long-tailed Recognition by Routing Diverse Distribution-Aware Experts | ✓ Link | 54.9 | RIDE (ResNet-50) | 2020-10-05 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition | ✓ Link | 54.0 | Difficulty-Net (ResNet-50 w/o using RandAugment, single model) | 2022-09-07 |
| Long-Tailed Recognition via Weight Balancing | ✓ Link | 53.9 | LTR-weight-balancing(ResNeXt-50) | 2022-03-27 |
| Distributional Robustness Loss for Long-tail Learning | | 53.5 | DRO-LT | 2021-04-07 |
| Distribution Alignment: A Unified Framework for Long-tail Visual Recognition | ✓ Link | 53.4 | DisAlign | 2021-03-30 |
| Distilling Virtual Examples for Long-tailed Recognition | ✓ Link | 53.1 | DiVE | 2021-03-28 |
| Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data | ✓ Link | 53.1 | LDAM + DRW + SAM | 2022-12-28 |
| Disentangling Label Distribution for Long-tailed Visual Recognition | ✓ Link | 53.0 | LADE | 2020-12-01 |
| ResLT: Residual Learning for Long-tailed Recognition | ✓ Link | 52.9 | ResLT(ResNeXt50) | 2021-01-26 |
| Improving Calibration for Long-Tailed Recognition | ✓ Link | 52.7 | MiSLAS | 2021-04-01 |
| Targeted Supervised Contrastive Learning for Long-Tailed Recognition | ✓ Link | 52.4 | TSC(ResNet-50) | 2021-11-27 |
| RSG: A Simple but Effective Module for Learning Imbalanced Datasets | ✓ Link | 51.8 | LDAM-DRS-RSG | 2021-06-18 |
| Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect | ✓ Link | 51.8 | De-confound-TDE | 2020-09-28 |
| Exploring Balanced Feature Spaces for Representation Learning | | 51.5 | KCL | 2021-01-01 |
| Rethinking the Value of Labels for Improving Class-Imbalanced Learning | ✓ Link | 51.3 | cRT + SSP | 2020-06-13 |
| Long-tail learning via logit adjustment | ✓ Link | 51.3 | Logit adjustment | 2020-07-14 |
| MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition | ✓ Link | 50.03 | MetaSAug (ResNet-152) | 2021-03-23 |
| MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition | ✓ Link | 47.39 | MetaSAug with CE loss | 2021-03-23 |
| BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images | ✓ Link | 44.7 | BLT (DenseNet-121) | 2020-10-30 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition | ✓ Link | 44.6 | Difficulty-Net (ResNet-10 w/o using RandAugment, single model | 2022-09-07 |
| Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition | | 43.2 | IEM | 2020-06-01 |
| From Generalized zero-shot learning to long-tail with class descriptors | ✓ Link | 42.0 | smDRAGON | 2020-04-05 |
| Balanced Meta-Softmax for Long-Tailed Visual Recognition | ✓ Link | 41.8 | BALMS | 2020-07-21 |
| Decoupling Representation and Classifier for Long-Tailed Recognition | ✓ Link | 41.4 | CB LWS | 2019-10-21 |
| Long-Tailed Recognition Using Class-Balanced Experts | ✓ Link | 39.2 | CBExperts | 2020-04-07 |
| Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification | ✓ Link | 38.8 | LFME + OLTR | 2020-01-06 |
| Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance | ✓ Link | 38.5 | CDB-loss (ResNet 10) | 2020-10-05 |
| BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images | ✓ Link | 38.0 | BLT (ResNet-10) | 2020-10-30 |
| Large-Scale Long-Tailed Recognition in an Open World | ✓ Link | 35.6 | OLTR | 2019-04-10 |
| Feature Space Augmentation for Long-Tailed Data | | 35.3 | Online Feature Augmentation | 2020-08-09 |
| Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective | ✓ Link | 29.9 | Domain Adaptation | 2020-03-24 |