# Image Classification on CIFAR10 IDN 0.8 (test)

Source: [Image Classification on CIFAR10 IDN 0.8 (test)](<https://www.sota2.com/research/sota/image-classification-on-cifar10-idn-0-8-test>)

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

Data updated: 2026-02-26T05:28:28.853Z

Evaluation of Image Classification performance on the 80% IDN subset of the CIFAR-10 test set.

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) | CIFAR10 IDN 0.8 (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-cifar10-idn-0-8-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| InstanceGM | 29.3 | Not recorded | 68fa6d591e209131cea395bc |
| IF-F-V | 16.72 | Not recorded | 68fa6d591e209131cea395bc |
| PTM-F-V | 13.89 | Not recorded | 68fa6d591e209131cea395bc |
| PTD-F-V | 13.58 | Not recorded | 68fa6d591e209131cea395bc |
| DivideMix | 8.1 | Not recorded | 68fa6d591e209131cea395bc |

### InstanceGM

Accuracy: 29.3. Result ID: 698f9dad3a6c314849fa8b80.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d591e209131cea395bc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d591e209131cea395bc.md>)

[Implementation](<https://github.com/a5507203/IDLN/blob/main/causalNL.py>)

Recorded evaluation configuration: {"IDN rate":"0.8"}. This record does not assert independent reproduction.

### IF-F-V

Accuracy: 16.72. Result ID: 698f9dad3a6c314849fa8b7e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d591e209131cea395bc.md>)

Recorded evaluation configuration: {"IDN rate":"0.8"}. This record does not assert independent reproduction.

### PTM-F-V

Accuracy: 13.89. Result ID: 698f9dad3a6c314849fa8b7d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d591e209131cea395bc.md>)

Recorded evaluation configuration: {"IDN rate":"0.8"}. This record does not assert independent reproduction.

### PTD-F-V

Accuracy: 13.58. Result ID: 698f9dad3a6c314849fa8b7c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d591e209131cea395bc.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68d51e209131cea1e7da.md>)

Recorded evaluation configuration: {"IDN rate":"0.8"}. This record does not assert independent reproduction.

### DivideMix

Accuracy: 8.1. Result ID: 698f9dad3a6c314849fa8b7f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d591e209131cea395bc.md>)

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

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

Recorded evaluation configuration: {"IDN rate":"0.8"}. This record does not assert independent reproduction.

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