# Out-of-Distribution Detection on ImageNet-200 (ID) vs Far-OOD (average) 1.0 (test)

Source: [Out-of-Distribution Detection on ImageNet-200 (ID) vs Far-OOD (average) 1.0 (test)](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-200-id-vs-far-ood-average-1-0-test>)

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

Data updated: 2026-02-26T05:26:22.598Z

Evaluation of Out-of-Distribution Detection performance using ImageNet-200 as the in-distribution set against the Far-OOD average test set (version 1.0), reporting AUROC and FPR.

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-200 (ID) vs Far-OOD (average) 1.0 (test) |
| Metric | AUROC |
| Unit | PERCENT |
| 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

- [AUROC](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-200-id-vs-far-ood-average-1-0-test.md?metric=AUROC>): Higher is better; unit: PERCENT.

- [FPR](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-200-id-vs-far-ood-average-1-0-test.md?metric=FPR>): Lower is better; unit: PERCENT.

## Recorded results

| Method | AUROC | Result date | Report paper |
| --- | --- | --- | --- |
| ELogitNorm | 93.19 | Not recorded | 68fa78021e209131cea76517 |
| LogitNorm | 91.54 | Not recorded | 68fa78021e209131cea76517 |
| Cross-Entropy | 85.23 | Not recorded | 68fa78021e209131cea76517 |

### ELogitNorm

AUROC: 93.19. Result ID: 699ea1055698665ec46b7264.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78021e209131cea76517.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78021e209131cea76517.md>)

Recorded evaluation configuration: {"Backbone":"ResNet50","ID Dataset":"ImageNet1K","OOD Score":"MSP"}. This record does not assert independent reproduction.

### LogitNorm

AUROC: 91.54. Result ID: 699ea1055698665ec46b7263.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78021e209131cea76517.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cd61e209131cea36201.md>)

Recorded evaluation configuration: {"Backbone":"ResNet50","ID Dataset":"ImageNet1K","OOD Score":"MSP"}. This record does not assert independent reproduction.

### Cross-Entropy

AUROC: 85.23. Result ID: 699ea1055698665ec46b7262.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78021e209131cea76517.md>)

Recorded evaluation configuration: {"Backbone":"ResNet50","ID Dataset":"ImageNet1K","OOD Score":"MSP"}. This record does not assert independent reproduction.

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