# Image Classification on FashionMNIST IDN-50%

Source: [Image Classification on FashionMNIST IDN-50%](<https://www.sota2.com/research/sota/image-classification-on-fashionmnist-idn-50-percent>)

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

Data updated: 2026-02-26T05:28:20.592Z

Evaluation of Image Classification performance on the FashionMNIST IDN-50% subset.

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) | FashionMNIST IDN-50% |
| 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-fashionmnist-idn-50-percent.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| CausalNL | 78.19 | Not recorded | 68fa6cb81e209131cea35949 |
| T-Revision | 68.99 | Not recorded | 68fa6cb81e209131cea35949 |
| Decoupling | 68.32 | Not recorded | 68fa6cb81e209131cea35949 |
| Mixup | 66.02 | Not recorded | 68fa6cb81e209131cea35949 |
| Reweight | 64.13 | Not recorded | 68fa6cb81e209131cea35949 |
| Co-teaching | 63.22 | Not recorded | 68fa6cb81e209131cea35949 |
| MentorNet | 61.62 | Not recorded | 68fa6cb81e209131cea35949 |
| Forward | 58.23 | Not recorded | 68fa6cb81e209131cea35949 |
| CE | 52.32 | Not recorded | 68fa6cb81e209131cea35949 |

### CausalNL

Accuracy: 78.19. Result ID: 698f36373a6c314849f70d21.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.md>)

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

### T-Revision

Accuracy: 68.99. Result ID: 698f36373a6c314849f70d20.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66d21e209131cea129ce.md>)

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

### Decoupling

Accuracy: 68.32. Result ID: 698f36373a6c314849f70d1b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.md>)

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

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

### Mixup

Accuracy: 66.02. Result ID: 698f36373a6c314849f70d1d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.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.

### Reweight

Accuracy: 64.13. Result ID: 698f36373a6c314849f70d1f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62011e209131ce9f7210.md>)

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

### Co-teaching

Accuracy: 63.22. Result ID: 698f36373a6c314849f70d1a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.md>)

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

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

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

### MentorNet

Accuracy: 61.62. Result ID: 698f36373a6c314849f70d1c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.md>)

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

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

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

### Forward

Accuracy: 58.23. Result ID: 698f36373a6c314849f70d1e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.md>)

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

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

### CE

Accuracy: 52.32. Result ID: 698f36373a6c314849f70d19.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cb81e209131cea35949.md>)

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

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