# Out-of-Distribution Detection on ImageNet-30 (IND) vs Gaussian (OOD)

Source: [Out-of-Distribution Detection on ImageNet-30 (IND) vs Gaussian (OOD)](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-imagenet-30-ind-vs-gaussian-ood>)

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

Data updated: 2026-02-26T05:25:48.085Z

Evaluation of Out-of-Distribution Detection performance using ImageNet-30 as the in-distribution dataset and Gaussian data as the out-of-distribution dataset, measured by AUROC.

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-30 IND vs Gaussian OOD |
| Metric | AUROC |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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-30-ind-vs-gaussian-ood.md?metric=AUROC>): Higher is better; unit: SCALAR.

## Recorded results

| Method | AUROC | Result date | Report paper |
| --- | --- | --- | --- |
| pNML | 1 | Not recorded | 68fa6b0a1e209131cea2ba40 |
| pNML | 1 | Not recorded | 68fa6b0a1e209131cea2ba40 |
| Baseline | 0.9878 | Not recorded | 68fa6b0a1e209131cea2ba40 |
| Baseline | 0.9861 | Not recorded | 68fa6b0a1e209131cea2ba40 |

### pNML

AUROC: 1. Result ID: 698e4c2bffc3901de09c69f4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b0a1e209131cea2ba40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b0a1e209131cea2ba40.md>)

[Implementation](<https://github.com/kobybibas/pnml_ood_detection>)

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

### pNML

AUROC: 1. Result ID: 698e4c2bffc3901de09c69f6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b0a1e209131cea2ba40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b0a1e209131cea2ba40.md>)

[Implementation](<https://github.com/kobybibas/pnml_ood_detection>)

Recorded evaluation configuration: {"Backbone":"ResNet-101"}. This record does not assert independent reproduction.

### Baseline

AUROC: 0.9878. Result ID: 698e4c2bffc3901de09c69f3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b0a1e209131cea2ba40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b0a1e209131cea2ba40.md>)

[Implementation](<https://github.com/kobybibas/pnml_ood_detection>)

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

### Baseline

AUROC: 0.9861. Result ID: 698e4c2bffc3901de09c69f5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b0a1e209131cea2ba40.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b0a1e209131cea2ba40.md>)

[Implementation](<https://github.com/kobybibas/pnml_ood_detection>)

Recorded evaluation configuration: {"Backbone":"ResNet-101"}. This record does not assert independent reproduction.

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