# OOD Detection on ImageNet-104 (test)

Source: [OOD Detection on ImageNet-104 (test)](<https://www.sota2.com/research/sota/ood-detection-on-imagenet-104-test>)

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

Data updated: 2026-04-24T08:25:50.360Z

Evaluation of Out-of-Distribution (OOD) detection performance using the ImageNet-104 dataset (test split). Key metrics reported include Area Under the ROC Curve (AUC) and False Positive Rate at 95% True Positive Rate (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 | OOD Detection |
| Dataset (including any stated split) | ImageNet-104 (test) |
| Metric | AUC |
| Unit | PERCENT |
| 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

- [AUC](<https://www.sota2.com/research/sota/ood-detection-on-imagenet-104-test.md?metric=AUC>): Higher is better; unit: PERCENT.

- [FPR95](<https://www.sota2.com/research/sota/ood-detection-on-imagenet-104-test.md?metric=FPR95>): Lower is better; unit: PERCENT.

## Recorded results

| Method | AUC | Result date | Report paper |
| --- | --- | --- | --- |
| CoOD\* | 98.3 | Not recorded | 69eaf93555a3c32af89f8aab |
| CoOD | 97.3 | Not recorded | 69eaf93555a3c32af89f8aab |
| MCM | 93.6 | Not recorded | 69eaf93555a3c32af89f8aab |
| MLS | 81.3 | Not recorded | 69eaf93555a3c32af89f8aab |

### CoOD\*

AUC: 98.3. Result ID: 69eb28fb47f34ce924d3616e.

[Reporting paper](<https://www.sota2.com/research/paper/69eaf93555a3c32af89f8aab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69eaf93555a3c32af89f8aab.md>)

Recorded evaluation configuration: {"Model":"CLIP"}. This record does not assert independent reproduction.

### CoOD

AUC: 97.3. Result ID: 69eb28fb47f34ce924d3616d.

[Reporting paper](<https://www.sota2.com/research/paper/69eaf93555a3c32af89f8aab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69eaf93555a3c32af89f8aab.md>)

Recorded evaluation configuration: {"Model":"CLIP"}. This record does not assert independent reproduction.

### MCM

AUC: 93.6. Result ID: 69eb28fb47f34ce924d3616c.

[Reporting paper](<https://www.sota2.com/research/paper/69eaf93555a3c32af89f8aab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e0a1e209131cea3d9c6.md>)

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

Recorded evaluation configuration: {"Model":"CLIP"}. This record does not assert independent reproduction.

### MLS

AUC: 81.3. Result ID: 69eb28fb47f34ce924d3616b.

[Reporting paper](<https://www.sota2.com/research/paper/69eaf93555a3c32af89f8aab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c811e209131cea34603.md>)

Recorded evaluation configuration: {"Model":"CLIP"}. This record does not assert independent reproduction.

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