# Image Classification Calibration on CIFAR-10-C

Source: [Image Classification Calibration on CIFAR-10-C](<https://www.sota2.com/research/sota/image-classification-calibration-on-cifar-10-c>)

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

Data updated: 2026-06-01T09:14:48.667Z

Evaluation of model calibration performance on the corrupted CIFAR-10 dataset (CIFAR-10-C), typically measured using Expected Calibration Error (ECE) variants and 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 Calibration |
| Dataset (including any stated split) | CIFAR-10-C |
| 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-calibration-on-cifar-10-c.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [ECE](<https://www.sota2.com/research/sota/image-classification-calibration-on-cifar-10-c.md?metric=ECE>): Lower is better; unit: PERCENT.

- [ECE (w/ TS)](<https://www.sota2.com/research/sota/image-classification-calibration-on-cifar-10-c.md?metric=ECE%20(w%2F%20TS)>): Lower is better; unit: PERCENT.

- [CECE](<https://www.sota2.com/research/sota/image-classification-calibration-on-cifar-10-c.md?metric=CECE>): Lower is better; unit: PERCENT.

- [ACE](<https://www.sota2.com/research/sota/image-classification-calibration-on-cifar-10-c.md?metric=ACE>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| AugMix | 82.49 | Not recorded | 68fa7af41e209131cea85f3e |
| Mixup | 75.41 | Not recorded | 68fa7af41e209131cea85f3e |
| FGR | 75.12 | Not recorded | 68fa7af41e209131cea85f3e |
| CE | 74.05 | Not recorded | 68fa7af41e209131cea85f3e |
| LS-0.05 | 73.65 | Not recorded | 68fa7af41e209131cea85f3e |
| FLSD-53 | 72.61 | Not recorded | 68fa7af41e209131cea85f3e |
| BSCE-GRA | 72.46 | Not recorded | 68fa7af41e209131cea85f3e |
| MaxEnt M | 71.98 | Not recorded | 68fa7af41e209131cea85f3e |
| DFL | 70.18 | Not recorded | 68fa7af41e209131cea85f3e |

### AugMix

Accuracy: 82.49. Result ID: 6a1d4d17fbc373592c16bd11.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

### Mixup

Accuracy: 75.41. Result ID: 6a1d4d17fbc373592c16bd10.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69951e209131cea22d47.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

### FGR

Accuracy: 75.12. Result ID: 6a1d4d17fbc373592c16bd16.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

### CE

Accuracy: 74.05. Result ID: 6a1d4d17fbc373592c16bd0e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

### LS-0.05

Accuracy: 73.65. Result ID: 6a1d4d17fbc373592c16bd0f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67b71e209131cea180d7.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

### FLSD-53

Accuracy: 72.61. Result ID: 6a1d4d17fbc373592c16bd12.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68a21e209131cea1d496.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

### BSCE-GRA

Accuracy: 72.46. Result ID: 6a1d4d17fbc373592c16bd15.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77bd1e209131cea750a1.md>)

[Implementation](<https://github.com/Jinxu-Lin/BSCE-GRA>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

### MaxEnt M

Accuracy: 71.98. Result ID: 6a1d4d17fbc373592c16bd14.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72711e209131cea565b2.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

### DFL

Accuracy: 70.18. Result ID: 6a1d4d17fbc373592c16bd13.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7af41e209131cea85f3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f681e209131cea45624.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet-121"}. This record does not assert independent reproduction.

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