# Out-of-Distribution Detection on ImageNet-1k Far-OOD (val)

Source: [Out-of-Distribution Detection on ImageNet-1k Far-OOD (val)](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-1k-far-ood-val>)

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

Data updated: 2026-04-30T07:24:26.405Z

Evaluation of Out-of-Distribution Detection performance using the validation split of the ImageNet-1k Far-OOD 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-1k Far-OOD (val) |
| Metric | FPR@95 |
| Unit | PERCENT |
| Direction | Lower is better |
| Results loaded | 13 of 13 |
| 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

- [FPR@95](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-1k-far-ood-val.md?metric=FPR%4095>): Lower is better; unit: PERCENT.

- [AUROC](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-1k-far-ood-val.md?metric=AUROC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | FPR@95 | Result date | Report paper |
| --- | --- | --- | --- |
| Energy Profile Divergence (EPD) | 24.77 | Not recorded | 69f2e22e55a3c32af89fc781 |
| SHE | 27.14 | Not recorded | 69f2e22e55a3c32af89fc781 |
| RMDS | 28.75 | Not recorded | 69f2e22e55a3c32af89fc781 |
| ViM | 29.2 | Not recorded | 69f2e22e55a3c32af89fc781 |
| MDS | 29.97 | Not recorded | 69f2e22e55a3c32af89fc781 |
| KNN | 31.93 | Not recorded | 69f2e22e55a3c32af89fc781 |
| GEN | 32.23 | Not recorded | 69f2e22e55a3c32af89fc781 |
| MSP | 51.66 | Not recorded | 69f2e22e55a3c32af89fc781 |
| TempScale | 53.77 | Not recorded | 69f2e22e55a3c32af89fc781 |
| ReAct | 53.92 | Not recorded | 69f2e22e55a3c32af89fc781 |
| OpenMax | 55.49 | Not recorded | 69f2e22e55a3c32af89fc781 |
| GradNorm | 92.64 | Not recorded | 69f2e22e55a3c32af89fc781 |
| ASH | 96.77 | Not recorded | 69f2e22e55a3c32af89fc781 |

### Energy Profile Divergence (EPD)

FPR@95: 24.77. Result ID: 69f303a547f34ce924d91197.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### SHE

FPR@95: 27.14. Result ID: 69f303a547f34ce924d91194.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### RMDS

FPR@95: 28.75. Result ID: 69f303a547f34ce924d91193.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### ViM

FPR@95: 29.2. Result ID: 69f303a547f34ce924d91195.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

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

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### MDS

FPR@95: 29.97. Result ID: 69f303a547f34ce924d9118f.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

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

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### KNN

FPR@95: 31.93. Result ID: 69f303a547f34ce924d9118e.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

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

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### GEN

FPR@95: 32.23. Result ID: 69f303a547f34ce924d9118c.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### MSP

FPR@95: 51.66. Result ID: 69f303a547f34ce924d91190.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.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":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### TempScale

FPR@95: 53.77. Result ID: 69f303a547f34ce924d91196.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### ReAct

FPR@95: 53.92. Result ID: 69f303a547f34ce924d91192.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

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

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### OpenMax

FPR@95: 55.49. Result ID: 69f303a547f34ce924d91191.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### GradNorm

FPR@95: 92.64. Result ID: 69f303a547f34ce924d9118d.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

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

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

### ASH

FPR@95: 96.77. Result ID: 69f303a547f34ce924d9118b.

[Reporting paper](<https://www.sota2.com/research/paper/69f2e22e55a3c32af89fc781.md>)

Recorded evaluation configuration: {"Backbone":"ViT-B/16","ID Accuracy":"81.14%"}. This record does not assert independent reproduction.

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