| GLMC+MaxNorm (ResNet-34, channel x4) |
- Error Rate
- 5
|
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions 2023-05-15 |
코드 1 · 코드 2 |
| SURE(ResNet-32) |
- Error Rate
- 5.04
|
SURE: SUrvey REcipes for building reliable and robust deep networks 2024-03-01 |
코드 1 |
| GLMC (ResNet-34, channel x4) |
- Error Rate
- 5.15
|
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions 2023-05-15 |
코드 1 · 코드 2 |
| 3LSSL |
- Error Rate
- 7.9
|
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition 2023-02-07 |
연결 없음 |
| ResCom |
- Error Rate
- 8.0
|
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition 2022-03-22 |
코드 1 · 코드 2 |
| VS + ADRW + TLA |
- Error Rate
- 8.18
|
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. paper with code 2023-10-07 |
코드 1 |
| Balanced Softmax (BALMS) |
- Error Rate
- 8.7
|
Balanced Meta-Softmax for Long-Tailed Visual Recognition 2020-07-21 |
코드 1 |
| ViT-B + Bal-BCE |
- Error Rate
- 8.7
|
Learning Imbalanced Data with Vision Transformers 2022-12-05 |
코드 1 |
| LCReg |
- Error Rate
- 8.8
|
Long-tailed Recognition by Learning from Latent Categories 2022-06-02 |
연결 없음 |
| BCL(ResNet-32) |
- Error Rate
- 8.9
|
Balanced Contrastive Learning for Long-Tailed Visual Recognition 2022-07-19 |
코드 1 |
| Hybrid-SC |
- Error Rate
- 8.9
|
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification 2021-03-26 |
연결 없음 |
| LWS |
- Error Rate
- 8.9
|
Decoupling Representation and Classifier for Long-Tailed Recognition 2019-10-21 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| cRT |
- Error Rate
- 9.0
|
Decoupling Representation and Classifier for Long-Tailed Recognition 2019-10-21 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| PCL |
- Error Rate
- 9.14
|
Parametric Contrastive Learning 2021-07-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| TADE |
- Error Rate
- 9.2
|
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition 2021-07-20 |
코드 1 · 코드 2 |
| ViT-B + Bal-CE |
- Error Rate
- 9.3
|
Learning Imbalanced Data with Vision Transformers 2022-12-05 |
코드 1 |
| Equalization Loss |
- Error Rate
- 9.8
|
Equalization Loss for Long-Tailed Object Recognition 2020-03-11 |
코드 1 |
| MiSLAS |
- Error Rate
- 10
|
Improving Calibration for Long-Tailed Recognition 2021-04-01 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| ViT-B + CB |
- Error Rate
- 10.1
|
Learning Imbalanced Data with Vision Transformers 2022-12-05 |
코드 1 |
| De-C-TDE + Curvature Regularization |
- Error Rate
- 10.1
|
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds 2023-03-22 |
코드 1 · 코드 2 |
| L2A(S2) |
- Error Rate
- 10.16
|
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach 2022-12-03 |
연결 없음 |
| ResLT |
- Error Rate
- 10.3
|
ResLT: Residual Learning for Long-tailed Recognition 2021-01-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| RIDE |
- Error Rate
- 10.3
|
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition 2021-07-20 |
코드 1 · 코드 2 |
| ICCL |
- Error Rate
- 10.3
|
Improving Tail-Class Representation with Centroid Contrastive Learning 2021-10-19 |
연결 없음 |
| MetaSAug-LDAM |
- Error Rate
- 10.32
|
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition 2021-03-23 |
코드 1 |
| UniMix+Bayias |
- Error Rate
- 10.34
|
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective 2021-11-06 |
코드 1 |
| ViT-B + CE |
- Error Rate
- 10.5
|
Learning Imbalanced Data with Vision Transformers 2022-12-05 |
코드 1 |
| LDAM + DRW + SAM |
- Error Rate
- 10.6
|
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data 2022-12-28 |
코드 1 |
| SAFA+LDAM-DRW (ResNeXt-29) |
- Error Rate
- 10.61
|
SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification 2022-11-06 |
연결 없음 |
| GCLLoss |
- Error Rate
- 10.77
|
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment 2023-05-19 |
코드 1 |