# Image Classification on Unlearnable CIFAR EntF 10 (test)

Source: [Image Classification on Unlearnable CIFAR EntF 10 (test)](<https://www.sota2.com/research/sota/image-classification-on-unlearnable-cifar-entf-10-test>)

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

Data updated: 2026-05-25T08:48:57.523Z

Evaluation of Image Classification model performance on the specific 'Unlearnable CIFAR EntF 10' test set, reporting 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) | Unlearnable CIFAR EntF 10 (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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-unlearnable-cifar-entf-10-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MixUp | 93.36 | Not recorded | 68fa73721e209131cea5c8c4 |
| CutMix | 92.85 | Not recorded | 68fa73721e209131cea5c8c4 |
| CutOut | 92.75 | Not recorded | 68fa73721e209131cea5c8c4 |
| AVATAR | 89.95 | Not recorded | 68fa73721e209131cea5c8c4 |
| nonlinear transformation framework | 88.59 | Not recorded | 68fa73721e209131cea5c8c4 |

### MixUp

Accuracy: 93.36. Result ID: 6a140cdffbc373592c0b5838.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

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

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

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CutMix

Accuracy: 92.85. Result ID: 6a140cdffbc373592c0b5837.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa663d1e209131cea0f1ce.md>)

[Implementation](<https://github.com/clovaai/CutMix-PyTorch>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CutOut

Accuracy: 92.75. Result ID: 6a140cdffbc373592c0b5839.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63d61e209131cea01202.md>)

[Implementation](<https://github.com/uoguelph-mlrg/Cutout>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### AVATAR

Accuracy: 89.95. Result ID: 6a140cdffbc373592c0b5836.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71d41e209131cea53381.md>)

Recorded evaluation configuration: {"diffusion timestep":"100"}. This record does not assert independent reproduction.

### nonlinear transformation framework

Accuracy: 88.59. Result ID: 6a140cdffbc373592c0b5835.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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