# Out-of-Distribution Detection on ImageNet ES

Source: [Out-of-Distribution Detection on ImageNet ES](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-es>)

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

Data updated: 2026-06-17T06:51:15.702Z

Evaluation of Out-of-Distribution Detection performance using the ImageNet ES dataset, reporting metrics such as AUROC and FPR95.

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 | Out-of-Distribution Detection |
| Dataset (including any stated split) | ImageNet ES |
| Metric | AUROC |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| 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

- [AUROC](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-es.md?metric=AUROC>): Higher is better; unit: PERCENT.

- [FPR95](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-es.md?metric=FPR95>): Lower is better; unit: PERCENT.

## Recorded results

| Method | AUROC | Result date | Report paper |
| --- | --- | --- | --- |
| MM++ | 77.98 | Not recorded | 6a322a32d33dfb23e783ebf9 |
| MSP | 74.36 | Not recorded | 6a322a32d33dfb23e783ebf9 |
| rMaha++ | 74.35 | Not recorded | 6a322a32d33dfb23e783ebf9 |
| Maha++ | 74.33 | Not recorded | 6a322a32d33dfb23e783ebf9 |
| rMaha | 73.51 | Not recorded | 6a322a32d33dfb23e783ebf9 |
| Maha | 70.13 | Not recorded | 6a322a32d33dfb23e783ebf9 |
| ReAct | 67.8 | Not recorded | 6a322a32d33dfb23e783ebf9 |
| Energy | 64.98 | Not recorded | 6a322a32d33dfb23e783ebf9 |
| ODIN | 64.6 | Not recorded | 6a322a32d33dfb23e783ebf9 |
| KNN | 52.8 | Not recorded | 6a322a32d33dfb23e783ebf9 |

### MM++

AUROC: 77.98. Result ID: 6a32439efbc373592c2f2a81.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

Recorded evaluation configuration: {"Backbone":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

### MSP

AUROC: 74.36. Result ID: 6a32439efbc373592c2f2a78.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.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":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

### rMaha++

AUROC: 74.35. Result ID: 6a32439efbc373592c2f2a80.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

Recorded evaluation configuration: {"Backbone":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

### Maha++

AUROC: 74.33. Result ID: 6a32439efbc373592c2f2a7f.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78b81e209131cea7a08c.md>)

Recorded evaluation configuration: {"Backbone":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

### rMaha

AUROC: 73.51. Result ID: 6a32439efbc373592c2f2a7e.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a271e209131cea2666a.md>)

Recorded evaluation configuration: {"Backbone":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

### Maha

AUROC: 70.13. Result ID: 6a32439efbc373592c2f2a7d.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64f91e209131cea077ac.md>)

[Implementation](<https://github.com/pokaxpoka/deep_Mahalanobis_detector>)

Recorded evaluation configuration: {"Backbone":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

### ReAct

AUROC: 67.8. Result ID: 6a32439efbc373592c2f2a7b.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b4f1e209131cea2d8b5.md>)

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

Recorded evaluation configuration: {"Backbone":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

### Energy

AUROC: 64.98. Result ID: 6a32439efbc373592c2f2a7a.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

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

Recorded evaluation configuration: {"Backbone":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

### ODIN

AUROC: 64.6. Result ID: 6a32439efbc373592c2f2a79.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

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

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

Recorded evaluation configuration: {"Backbone":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

### KNN

AUROC: 52.8. Result ID: 6a32439efbc373592c2f2a7c.

[Reporting paper](<https://www.sota2.com/research/paper/6a322a32d33dfb23e783ebf9.md>)

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

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

Recorded evaluation configuration: {"Backbone":"ConvNeXt-T","In-Distribution Dataset":"ImageNet-LT"}. This record does not assert independent reproduction.

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