# Image Classification on CIFAR-10 Symmetric noise 0.8 manually corrupted (test)

Source: [Image Classification on CIFAR-10 Symmetric noise 0.8 manually corrupted (test)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-symmetric-noise-0-8-manually-corrupted-test>)

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

Data updated: 2026-02-26T05:27:27.540Z

Evaluation of Image Classification performance on the test split of CIFAR-10 corrupted specifically by 80% Symmetric 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 Symmetric noise 0.8 manually corrupted (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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-symmetric-noise-0-8-manually-corrupted-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| INCV | 52.27 | Not recorded | 68fa65bb1e209131cea0bf96 |
| Decoupling | 36.9 | Not recorded | 68fa65bb1e209131cea0bf96 |
| F-correction | 34.76 | Not recorded | 68fa65bb1e209131cea0bf96 |
| MentorNet | 28.89 | Not recorded | 68fa65bb1e209131cea0bf96 |
| Co-teaching | 16.21 | Not recorded | 68fa65bb1e209131cea0bf96 |
| D2L | 10.02 | Not recorded | 68fa65bb1e209131cea0bf96 |

### INCV

Accuracy: 52.27. Result ID: 698cc4218b517eb4331c9668.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65bb1e209131cea0bf96.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65bb1e209131cea0bf96.md>)

[Implementation](<https://github.com/chenpf1025/noisy_label_understanding_utilizing>)

Recorded evaluation configuration: {"Backbone":"ResNet-32","Number of runs":5}. This record does not assert independent reproduction.

### Decoupling

Accuracy: 36.9. Result ID: 698cc4218b517eb4331c9664.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65bb1e209131cea0bf96.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa642f1e209131cea0344e.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-32","Number of runs":5}. This record does not assert independent reproduction.

### F-correction

Accuracy: 34.76. Result ID: 698cc4218b517eb4331c9663.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65bb1e209131cea0bf96.md>)

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

Recorded evaluation configuration: {"Backbone":"ResNet-32","Number of runs":5}. This record does not assert independent reproduction.

### MentorNet

Accuracy: 28.89. Result ID: 698cc4218b517eb4331c9666.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65bb1e209131cea0bf96.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64bf1e209131cea063ec.md>)

[Implementation](<https://github.com/google/mentornet>)

Recorded evaluation configuration: {"Backbone":"ResNet-32","Number of runs":5}. This record does not assert independent reproduction.

### Co-teaching

Accuracy: 16.21. Result ID: 698cc4218b517eb4331c9665.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65bb1e209131cea0bf96.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64fe1e209131cea07aa4.md>)

[Implementation](<https://github.com/bhanML/Co-teaching>)

Recorded evaluation configuration: {"Backbone":"ResNet-32","Number of runs":5}. This record does not assert independent reproduction.

### D2L

Accuracy: 10.02. Result ID: 698cc4218b517eb4331c9667.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65bb1e209131cea0bf96.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64a71e209131cea05e51.md>)

[Implementation](<https://github.com/xingjunm/dimensionality-driven-learning>)

Recorded evaluation configuration: {"Backbone":"ResNet-32","Number of runs":5}. This record does not assert independent reproduction.

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