# Image Classification on CIFAR-100 (test) (Accuracy and Mean Corruption Accuracy)

Source: [Image Classification on CIFAR-100 (test) (Accuracy and Mean Corruption Accuracy)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-test-accuracy-and-mean-corruption-accuracy>)

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

Data updated: 2026-02-26T05:31:50.406Z

Evaluation of Image Classification performance on the CIFAR-100 test set, reporting standard accuracy metrics alongside Mean Corruption 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) | CIFAR-100 (test) |
| Metric | Accuracy |
| Unit | SCALAR |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-test-accuracy-and-mean-corruption-accuracy.md?metric=Accuracy>): Higher is better; unit: SCALAR.

- [Metric C](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-test-accuracy-and-mean-corruption-accuracy.md?metric=Metric%20C>): Higher is better; unit: SCALAR.

- [C15 Score](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-test-accuracy-and-mean-corruption-accuracy.md?metric=C15%20Score>): Higher is better; unit: SCALAR.

- [Mean Corruption Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-test-accuracy-and-mean-corruption-accuracy.md?metric=Mean%20Corruption%20Accuracy>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| SYN+NST+TA (Ours+RE+N+FN) | 0.8312 | Not recorded | 69438aa5423ea422657295ea |
| NoisyMix | 0.8177 | Not recorded | 69438aa5423ea422657295ea |
| NoisyMix | 0.8116 | Not recorded | 69438aa5423ea422657295ea |

### SYN+NST+TA (Ours+RE+N+FN)

Accuracy: 0.8312. Result ID: 699835af5698665ec4914fe9.

[Reporting paper](<https://www.sota2.com/research/paper/69438aa5423ea422657295ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69438aa5423ea422657295ea.md>)

Recorded evaluation configuration: {"Backbone":"WRN-28-4","Training Epochs":"600"}. This record does not assert independent reproduction.

### NoisyMix

Accuracy: 0.8177. Result ID: 699835af5698665ec4914fe8.

[Reporting paper](<https://www.sota2.com/research/paper/69438aa5423ea422657295ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c971e209131cea34af3.md>)

Recorded evaluation configuration: {"Backbone":"WRN-28-4","Training Epochs":"600","Evaluation Protocol":"Original implementation"}. This record does not assert independent reproduction.

### NoisyMix

Accuracy: 0.8116. Result ID: 699835af5698665ec4914fe7.

[Reporting paper](<https://www.sota2.com/research/paper/69438aa5423ea422657295ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c971e209131cea34af3.md>)

Recorded evaluation configuration: {"Backbone":"WRN-28-4","Training Epochs":"600","Evaluation Protocol":"Robustbench"}. This record does not assert independent reproduction.

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