# Image Classification on Long-tailed CIFAR-10 Imbalance factor 0.02 (test)

Source: [Image Classification on Long-tailed CIFAR-10 Imbalance factor 0.02 (test)](<https://www.sota2.com/research/sota/image-classification-on-long-tailed-cifar-10-imbalance-factor-0-02-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:06:58.810Z

Evaluation of Image Classification performance on the test split of the Long-tailed CIFAR-10 dataset configured with an imbalance factor of 0.02, measured using Top-1 Accuracy.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Image Classification |
| Dataset (including any stated split) | Long-tailed CIFAR-10 Imbalance factor 0.02 (test) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 11 of 11 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Top-1 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-long-tailed-cifar-10-imbalance-factor-0-02-test.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ResLTS | 85.17 | Not recorded | 68fa6c891e209131cea348fa |
| Causal Norm | 83.6 | Not recorded | 68fa6c891e209131cea348fa |
| ResLT | 83.46 | Not recorded | 68fa6c891e209131cea348fa |
| ELF(LDAM)+DRW | 82.4 | Not recorded | 68fa6c891e209131cea348fa |
| BBN | 82.18 | Not recorded | 68fa6c891e209131cea348fa |
| LDAM+DRW | 81.03 | Not recorded | 68fa6c891e209131cea348fa |
| CE+DRW | 79.97 | Not recorded | 68fa6c891e209131cea348fa |
| CE+DRS | 79.81 | Not recorded | 68fa6c891e209131cea348fa |
| CB-Focal | 79.27 | Not recorded | 68fa6c891e209131cea348fa |
| Mixup | 77.82 | Not recorded | 68fa6c891e209131cea348fa |
| Focal | 76.72 | Not recorded | 68fa6c891e209131cea348fa |

### ResLTS

Top-1 Accuracy: 85.17. Result ID: 698f213c3a6c314849f60a8a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Implementation](<https://github.com/jiequancui/ResLT>)

Recorded evaluation configuration: {"One-stage":true,"Backbone":"ResNet-32","Strong data augmentation":true}. This record does not assert independent reproduction.

### Causal Norm

Top-1 Accuracy: 83.6. Result ID: 698f213c3a6c314849f60a84.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa694e1e209131cea21632.md>)

[Implementation](<https://github.com/KaihuaTang/Long-Tailed-Recognition.pytorch>)

Recorded evaluation configuration: {"One-stage":true,"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### ResLT

Top-1 Accuracy: 83.46. Result ID: 698f213c3a6c314849f60a89.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Implementation](<https://github.com/jiequancui/ResLT>)

Recorded evaluation configuration: {"One-stage":true,"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### ELF(LDAM)+DRW

Top-1 Accuracy: 82.4. Result ID: 698f213c3a6c314849f60a88.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68521e209131cea1b743.md>)

Recorded evaluation configuration: {"One-stage":false,"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### BBN

Top-1 Accuracy: 82.18. Result ID: 698f213c3a6c314849f60a82.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67371e209131cea14e59.md>)

[Implementation](<https://github.com/Megvii-Nanjing/BBN>)

Recorded evaluation configuration: {"One-stage":true,"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### LDAM+DRW

Top-1 Accuracy: 81.03. Result ID: 698f213c3a6c314849f60a87.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66901e209131cea10e0f.md>)

[Implementation](<https://github.com/kaidic/LDAM-DRW>)

Recorded evaluation configuration: {"One-stage":false,"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### CE+DRW

Top-1 Accuracy: 79.97. Result ID: 698f213c3a6c314849f60a85.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66901e209131cea10e0f.md>)

[Implementation](<https://github.com/kaidic/LDAM-DRW>)

Recorded evaluation configuration: {"One-stage":false,"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### CE+DRS

Top-1 Accuracy: 79.81. Result ID: 698f213c3a6c314849f60a86.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66901e209131cea10e0f.md>)

[Implementation](<https://github.com/kaidic/LDAM-DRW>)

Recorded evaluation configuration: {"One-stage":false,"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### CB-Focal

Top-1 Accuracy: 79.27. Result ID: 698f213c3a6c314849f60a83.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa654f1e209131cea0988a.md>)

[Implementation](<https://github.com/richardaecn/class-balanced-loss>)

Recorded evaluation configuration: {"One-stage":true,"Backbone":"ResNet-32","Strong data augmentation":true}. This record does not assert independent reproduction.

### Mixup

Top-1 Accuracy: 77.82. Result ID: 698f213c3a6c314849f60a80.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa644e1e209131cea03e44.md>)

[Implementation](<https://github.com/facebookresearch/mixup-cifar10>)

Recorded evaluation configuration: {"One-stage":true,"Backbone":"ResNet-32","Strong data augmentation":true}. This record does not assert independent reproduction.

### Focal

Top-1 Accuracy: 76.72. Result ID: 698f213c3a6c314849f60a81.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c891e209131cea348fa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa640c1e209131cea02556.md>)

[Implementation](<https://github.com/facebookresearch/Detectron>)

Recorded evaluation configuration: {"One-stage":true,"Backbone":"ResNet-32","Strong data augmentation":true}. This record does not assert independent reproduction.

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