# Image Classification on CIFAR-10 (ID ACC Evaluation)

Source: [Image Classification on CIFAR-10 (ID ACC Evaluation)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-id-acc-evaluation>)

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

Data updated: 2026-02-26T05:46:48.250Z

Evaluation of Image Classification performance on the CIFAR-10 dataset, specifically reporting results based on the Identity Accuracy (ID ACC) metric.

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-10 |
| Metric | ID Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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

- [ID Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-id-acc-evaluation.md?metric=ID%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | ID Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MSP | 94.21 | Not recorded | 68fa6eb61e209131cea41aaa |
| ODIN | 94.21 | Not recorded | 68fa6eb61e209131cea41aaa |
| Energy | 94.21 | Not recorded | 68fa6eb61e209131cea41aaa |
| GradNorm | 94.21 | Not recorded | 68fa6eb61e209131cea41aaa |
| ViM | 94.21 | Not recorded | 68fa6eb61e209131cea41aaa |
| KNN | 94.21 | Not recorded | 68fa6eb61e209131cea41aaa |
| VOS | 93.96 | Not recorded | 68fa6eb61e209131cea41aaa |
| NPOS | 93.86 | Not recorded | 68fa6eb61e209131cea41aaa |

### MSP

ID Accuracy: 94.21. Result ID: 69903cf53a6c314849ff24f0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64e41e209131cea0731a.md>)

[Implementation](<https://www.sota2.com/github.com/hendrycks/error-detection>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

### ODIN

ID Accuracy: 94.21. Result ID: 69903cf53a6c314849ff24f1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa684a1e209131cea1b26f.md>)

[Implementation](<https://github.com/facebookresearch/odin>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

### Energy

ID Accuracy: 94.21. Result ID: 69903cf53a6c314849ff24f2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69cc1e209131cea24242.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

### GradNorm

ID Accuracy: 94.21. Result ID: 69903cf53a6c314849ff24f3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6afd1e209131cea2b8e2.md>)

[Implementation](<https://github.com/deeplearning-wisc/gradnorm_ood>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

### ViM

ID Accuracy: 94.21. Result ID: 69903cf53a6c314849ff24f4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c151e209131cea32091.md>)

[Implementation](<https://github.com/haoqiwang/vim>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

### KNN

ID Accuracy: 94.21. Result ID: 69903cf53a6c314849ff24f5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e2f1e209131cea3e69b.md>)

[Implementation](<https://github.com/deeplearning-wisc/knn-ood>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

### VOS

ID Accuracy: 93.96. Result ID: 69903cf53a6c314849ff24f6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c831e209131cea346d4.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

### NPOS

ID Accuracy: 93.86. Result ID: 69903cf53a6c314849ff24f7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Implementation](<https://github.com/deeplearning-wisc/npos>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

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