| LPT: Long-tailed Prompt Tuning for Image Classification | ✓ Link | 10.9 | LPT | 2022-10-03 |
| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 10.9 | LIFT (ViT-B/16, ImageNet-21K pre-training) | 2023-09-18 |
| Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts | ✓ Link | 18.3 | LIFT (ViT-B/16, CLIP) | 2023-09-18 |
| Visual Prompt Tuning | ✓ Link | 19 | VPT | 2022-03-23 |
| A Simple Long-Tailed Recognition Baseline via Vision-Language Model | ✓ Link | 22.2 | BALLAD (ViT-B/16) | 2021-11-29 |
| Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data | ✓ Link | 40.99 | GLMC + SAM | 2022-12-28 |
| Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions | ✓ Link | 41.59 | GLMC+MaxNorm (ResNet-34, channel x4) | 2023-05-15 |
| Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions | ✓ Link | 42.01 | GLMC (ResNet-34, channel x4) | 2023-05-15 |
| SURE: SUrvey REcipes for building reliable and robust deep networks | ✓ Link | 43.66 | SURE(ResNet-32) | 2024-03-01 |
| MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition | ✓ Link | 43.9 | MDCS | 2023-08-19 |
| DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets | ✓ Link | 44.4 | DeiT-LT | 2024-04-03 |
| Weight-guided class complementing for long-tailed image recognition | | 44.9 | NCL* + WGCC (ensemble) | 2023-02-03 |
| Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images | ✓ Link | 45.8 | OPeN (WideResNet-28-10) | 2021-12-16 |
| Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels | ✓ Link | 46.0 | GML (ResNet-32) | 2023-05-02 |
| Balanced Contrastive Learning for Long-Tailed Visual Recognition | ✓ Link | 46.1 | BCL(ResNet-32) | 2022-07-19 |
| Long-Tailed Recognition via Weight Balancing | ✓ Link | 46.45 | LTR-weight-balancing | 2022-03-27 |
| Learning Prototype Classifiers for Long-Tailed Recognition | ✓ Link | 46.59 | PC | 2023-02-01 |
| Nested Collaborative Learning for Long-Tailed Visual Recognition | ✓ Link | 46.7 | NCL(ResNet32) | 2022-03-29 |
| Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation | ✓ Link | 46.84 | ConCutMix | 2024-07-06 |
| A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. paper with code | ✓ Link | 46.95 | VS + ADRW + TLA | 2023-10-07 |
| Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data | ✓ Link | 47.0 | PaCo + SAM | 2022-12-28 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition | ✓ Link | 47.04 | Difficulty-Net | 2022-09-07 |
| BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning | ✓ Link | 47.6 | Paco + BatchFormer | 2022-03-03 |
| Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation | | 48.3 | GLAG | 2022-02-28 |
| BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning | ✓ Link | 48.3 | Balanced + BatchFormer | 2022-03-03 |
| Parametric Contrastive Learning | ✓ Link | 49.10 | PCL | 2021-07-26 |
| Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds | ✓ Link | 49.3 | RIDE + CMO + Curvature Regularization | 2023-03-22 |
| The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification | ✓ Link | 50 | RIDE 3 experts + CMO | 2021-12-01 |
| Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition | ✓ Link | 50.2 | TADE | 2021-07-20 |
| Trustworthy Long-Tailed Classification | ✓ Link | 50.2 | TLC (4 Experts) | 2021-11-17 |
| ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot | | 50.4 | ACE (4 experts) | 2021-08-05 |
| Long-tailed Recognition by Routing Diverse Distribution-Aware Experts | ✓ Link | 50.9 | RIDE+distill | 2020-10-05 |
| Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment | ✓ Link | 51.29 | GCL | 2023-05-19 |
| Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition | ✓ Link | 51.62 | DirMixE | 2024-05-13 |
| MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition | ✓ Link | 51.99 | MetaSAug-LDAM | 2021-03-23 |
| Long-tailed Recognition by Routing Diverse Distribution-Aware Experts | ✓ Link | 52 | RIDE | 2020-10-05 |
| Distributional Robustness Loss for Long-tail Learning | | 52.67 | DRO-LT | 2021-04-07 |
| The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification | ✓ Link | 52.8 | LDAM-DRW + CMO | 2021-12-01 |
| Improving Calibration for Long-Tailed Recognition | ✓ Link | 53 | MiSLAS | 2021-04-01 |
| The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification | ✓ Link | 53.4 | Balanced Softmax + CMO | 2021-12-01 |
| Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data | ✓ Link | 53.4 | VS + SAM | 2022-12-28 |
| Feature Generation for Long-tail Classification | ✓ Link | 53.41 | CBD+TailCalibX | 2021-11-10 |
| Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective | ✓ Link | 53.59 | Prior-LT | 2021-11-06 |
| Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix | | 53.90 | OTLM+CE (Resnet-32) | 2021-09-29 |
| Self Supervision to Distillation for Long-Tailed Visual Recognition | ✓ Link | 54.00 | SSD | 2021-09-09 |
| Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory | | 54.2 | MBJ | 2020-08-22 |
| Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective | ✓ Link | 54.55 | UniMix+Bayias (ResNet-32) | 2021-11-06 |
| Disentangling Label Distribution for Long-tailed Visual Recognition | ✓ Link | 54.6 | LADE | 2020-12-01 |
| Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? | ✓ Link | 54.7 | ETF Classifier + DR (Resnet) | 2022-03-17 |
| Feature-Balanced Loss for Long-Tailed Visual Recognition | ✓ Link | 54.78 | FBL (Resnet-32) | 2023-05-18 |
| Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification | | 55.03 | Hybrid-PSC | 2021-03-26 |
| RSG: A Simple but Effective Module for Learning Imbalanced Datasets | ✓ Link | 55.5 | LDAM-DRW-RSG | 2021-06-18 |
| Do Deep Networks Transfer Invariances Across Classes? | ✓ Link | 55.65 | CE+DRS+GIT | 2022-03-18 |
| Targeted Supervised Contrastive Learning for Long-Tailed Recognition | ✓ Link | 56.2 | TSC(ResNet-32) | 2021-11-27 |
| Weight-guided class complementing for long-tailed image recognition | | 56.4 | LDAM-DRW + WGCC | 2023-02-03 |
| From Generalized zero-shot learning to long-tail with class descriptors | ✓ Link | 56.50 | smDRAGON | 2020-04-05 |
| Rethinking the Value of Labels for Improving Class-Imbalanced Learning | ✓ Link | 56.57 | LDAM-DRW + SSP | 2020-06-13 |
| Posterior Re-calibration for Imbalanced Datasets | | 56.9 | CE-DRW-IC | 2020-10-22 |
| Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance | ✓ Link | 57.43 | CDB-loss | 2020-10-05 |
| A Simple Episodic Linear Probe Improves Visual Recognition in the Wild | ✓ Link | 57.6 | ELP | 2022-01-01 |
| Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss | ✓ Link | 57.96 | LDAM-DRW | 2019-06-18 |
| The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification | ✓ Link | 58.9 | CE-DRW | 2021-12-01 |
| Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds | ✓ Link | 59.5 | Cross-Entropy + Curvature Regularization | 2023-03-22 |
| Influence-Balanced Loss for Imbalanced Visual Classification | ✓ Link | 61.52 | IBLLoss | 2021-10-06 |
| Class-Balanced Loss Based on Effective Number of Samples | ✓ Link | 61.68 | Cross-Entropy (CE) | 2019-01-16 |
| Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics | | 62.75 | Cross-Entropy (CE) | 2023-02-03 |