# Image Classification on CIFAR-10 40% open-set noise (test)

Source: [Image Classification on CIFAR-10 40% open-set noise (test)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-40-percent-open-set-noise-test>)

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

Data updated: 2026-02-26T05:28:50.426Z

Evaluation of Image Classification performance on the test split of CIFAR-10 corrupted specifically with 40% open-set noise.

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) | CIFAR-10 40% open-set noise (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-40-percent-open-set-noise-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| CMW-Net-SL | 92.12 | Not recorded | 68fa6f331e209131cea44659 |
| DivideMix | 90.16 | Not recorded | 68fa6f331e209131cea44659 |
| M-correction | 89.71 | Not recorded | 68fa6f331e209131cea44659 |
| GCE | 85.96 | Not recorded | 68fa6f331e209131cea44659 |
| CMW-Net | 84.81 | Not recorded | 68fa6f331e209131cea44659 |
| MW-Net | 84.78 | Not recorded | 68fa6f331e209131cea44659 |
| Forward | 84.63 | Not recorded | 68fa6f331e209131cea44659 |
| ERM | 84.17 | Not recorded | 68fa6f331e209131cea44659 |
| L2RW | 83.6 | Not recorded | 68fa6f331e209131cea44659 |

### CMW-Net-SL

Accuracy: 92.12. Result ID: 69909cc93a6c31484901dead.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Implementation](<https://github.com/xjtushujun/CMW-Net>)

Recorded evaluation configuration: {"Noise Rate":"40%","Noise Type":"open-set"}. This record does not assert independent reproduction.

### DivideMix

Accuracy: 90.16. Result ID: 69909cc93a6c31484901dea9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa671c1e209131cea144cf.md>)

[Implementation](<https://github.com/LiJunnan1992/DivideMix>)

Recorded evaluation configuration: {"Noise Rate":"40%","Noise Type":"open-set"}. This record does not assert independent reproduction.

### M-correction

Accuracy: 89.71. Result ID: 69909cc93a6c31484901dea8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65d71e209131cea0cad4.md>)

[Implementation](<https://git.io/fjsvE>)

Recorded evaluation configuration: {"Noise Rate":"40%","Noise Type":"open-set"}. This record does not assert independent reproduction.

### GCE

Accuracy: 85.96. Result ID: 69909cc93a6c31484901dea7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa651f1e209131cea088eb.md>)

Recorded evaluation configuration: {"Noise Rate":"40%","Noise Type":"open-set"}. This record does not assert independent reproduction.

### CMW-Net

Accuracy: 84.81. Result ID: 69909cc93a6c31484901deac.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Implementation](<https://github.com/xjtushujun/CMW-Net>)

Recorded evaluation configuration: {"Noise Rate":"40%","Noise Type":"open-set"}. This record does not assert independent reproduction.

### MW-Net

Accuracy: 84.78. Result ID: 69909cc93a6c31484901deab.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66791e209131cea1067e.md>)

[Implementation](<https://github.com/xjtushujun/meta-weight-net>)

Recorded evaluation configuration: {"Noise Rate":"40%","Noise Type":"open-set"}. This record does not assert independent reproduction.

### Forward

Accuracy: 84.63. Result ID: 69909cc93a6c31484901dea6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63321e209131ce9fd4c8.md>)

Recorded evaluation configuration: {"Noise Rate":"40%","Noise Type":"open-set"}. This record does not assert independent reproduction.

### ERM

Accuracy: 84.17. Result ID: 69909cc93a6c31484901dea5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

Recorded evaluation configuration: {"Noise Rate":"40%","Noise Type":"open-set"}. This record does not assert independent reproduction.

### L2RW

Accuracy: 83.6. Result ID: 69909cc93a6c31484901deaa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6f331e209131cea44659.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65be1e209131cea0c1af.md>)

Recorded evaluation configuration: {"Noise Rate":"40%","Noise Type":"open-set"}. This record does not assert independent reproduction.

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