# Robustness Evaluation on ImageNet Robustness Suite (IN-A, IN-R, IN-S, IN-C)

Source: [Robustness Evaluation on ImageNet Robustness Suite (IN-A, IN-R, IN-S, IN-C)](<https://www.sota2.com/research/sota/robustness-evaluation-on-imagenet-robustness-suite-in-a-in-r-in-s-in-c>)

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

Data updated: 2026-02-26T05:35:48.113Z

Evaluation of model robustness across the four primary ImageNet robustness variants: ImageNet-A (adversarial), ImageNet-R (renderings), ImageNet-Sketch, and ImageNet-C (corruptions).

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 | Robustness |
| Dataset (including any stated split) | ImageNet Robustness (IN-A, IN-R, IN-S, IN-C) |
| Metric | Average Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [Average Score](<https://www.sota2.com/research/sota/robustness-evaluation-on-imagenet-robustness-suite-in-a-in-r-in-s-in-c.md?metric=Average%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average Score | Result date | Report paper |
| --- | --- | --- | --- |
| SiameseIM | 47.9 | Not recorded | 68fa6e031e209131cea3d696 |
| MoCo-v3 | 43.4 | Not recorded | 68fa6e031e209131cea3d696 |
| MAE | 41.8 | Not recorded | 68fa6e031e209131cea3d696 |

### SiameseIM

Average Score: 47.9. Result ID: 698ff4713a6c314849fd0d35.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d696.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d696.md>)

[Implementation](<https://github.com/fundamentalvision/Siamese-Image-Modeling>)

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

### MoCo-v3

Average Score: 43.4. Result ID: 698ff4713a6c314849fd0d33.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d696.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68c61e209131cea1e54d.md>)

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

### MAE

Average Score: 41.8. Result ID: 698ff4713a6c314849fd0d34.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6e031e209131cea3d696.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b7f1e209131cea2e973.md>)

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

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