| LIFT (ViT-L/14@336px) |
- Top-1 Accuracy
- 87.4%
|
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts 2023-09-18 |
코드 1 |
| LIFT (ViT-L/14) |
- Top-1 Accuracy
- 85.2%
|
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts 2023-09-18 |
코드 1 |
| GML (ViT-B-16) |
- Top-1 Accuracy
- 82.1%
|
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels 2023-05-02 |
코드 1 |
| VL-LTR (ViT-B-16) |
- Top-1 Accuracy
- 81.0%
|
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition 2021-11-26 |
코드 1 |
| LIFT (ViT-B/16) |
- Top-1 Accuracy
- 80.4%
|
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts 2023-09-18 |
코드 1 |
| RAC (ViT-B-16) |
- Top-1 Accuracy
- 80.24%
|
Retrieval Augmented Classification for Long-Tail Visual Recognition 2022-02-22 |
연결 없음 |
| GPaCo (2-R152) |
- Top-1 Accuracy
- 79.8%
|
Generalized Parametric Contrastive Learning 2022-09-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| GPaCo (ResNet-152) |
- Top-1 Accuracy
- 78.1%
|
Generalized Parametric Contrastive Learning 2022-09-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| TADE(ResNet-152) |
- Top-1 Accuracy
- 77%
|
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition 2021-07-20 |
코드 1 · 코드 2 |
| ProCo (ResNet50) |
- Top-1 Accuracy
- 75.8%
|
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition 2024-03-11 |
코드 1 |
| MDCS(Resnet50) |
- Top-1 Accuracy
- 75.6%
|
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition 2023-08-19 |
코드 1 |
| GPaCo (ResNet-50) |
- Top-1 Accuracy
- 75.4%
|
Generalized Parametric Contrastive Learning 2022-09-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| CBD-ENS (ResNet-101) |
- Top-1 Accuracy
- 75.3%
|
Class-Balanced Distillation for Long-Tailed Visual Recognition 2021-04-12 |
코드 1 · 코드 2 · 코드 3 |
| PaCo(ResNet-152) |
- Top-1 Accuracy
- 75.2%
|
Parametric Contrastive Learning 2021-07-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| DeiT-LT |
- Top-1 Accuracy
- 75.1%
|
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets 2024-04-03 |
코드 1 · 코드 2 |
| APA (SE-ResNet-50) |
- Top-1 Accuracy
- 74.8
|
Adaptive Parametric Activation 2024-07-11 |
코드 1 |
| VL-LTR (ResNet-50) |
- Top-1 Accuracy
- 74.6%
|
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition 2021-11-26 |
코드 1 |
| GML (ResNet-50) |
- Top-1 Accuracy
- 74.5%
|
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels 2023-05-02 |
코드 1 |
| NCL(ResNet-50) |
- Top-1 Accuracy
- 74.2%
|
Nested Collaborative Learning for Long-Tailed Visual Recognition 2022-03-29 |
코드 1 |
| BatchFormer(ResNet-50, RIDE) |
- Top-1 Accuracy
- 74.1%
|
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning 2022-03-03 |
코드 1 |
| CBD-ENS (ResNet-50) |
- Top-1 Accuracy
- 73.6%
|
Class-Balanced Distillation for Long-Tailed Visual Recognition 2021-04-12 |
코드 1 · 코드 2 · 코드 3 |
| RIDE-DiVE |
- Top-1 Accuracy
- 73.44%
|
Distilling Virtual Examples for Long-tailed Recognition 2021-03-28 |
코드 1 |
| DirMixE |
- Top-1 Accuracy
- 73.21%
|
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition 2024-05-13 |
코드 1 |
| TADE |
- Top-1 Accuracy
- 72.9%
|
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition 2021-07-20 |
코드 1 · 코드 2 |
| ResLT(3 experts) |
- Top-1 Accuracy
- 72.9%
|
ResLT: Residual Learning for Long-tailed Recognition 2021-01-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| RIDE |
- Top-1 Accuracy
- 72.2%
|
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts 2020-10-05 |
코드 1 · 코드 2 |
| BCL(ResNet-50) |
- Top-1 Accuracy
- 71.8%
|
Balanced Contrastive Learning for Long-Tailed Visual Recognition 2022-07-19 |
코드 1 |
| DiVE |
- Top-1 Accuracy
- 71.71%
|
Distilling Virtual Examples for Long-tailed Recognition 2021-03-28 |
코드 1 |
| MiSLAS |
- Top-1 Accuracy
- 71.6%
|
Improving Calibration for Long-Tailed Recognition 2021-04-01 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| DisAlign |
- Top-1 Accuracy
- 70.6%
|
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition 2021-03-30 |
코드 1 |