# Out-of-Distribution Detection on CIFAR-100 (ID) vs Places365 (Far-OOD) (OpenOOD v1.5 Test)

Source: [Out-of-Distribution Detection on CIFAR-100 (ID) vs Places365 (Far-OOD) (OpenOOD v1.5 Test)](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-cifar-100-id-vs-places365-far-ood-openood-v1-5-test>)

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

Data updated: 2026-04-30T07:24:26.135Z

Evaluation of Out-of-Distribution Detection performance using CIFAR-100 as the in-distribution dataset and Places365 as the far out-of-distribution dataset, specifically under the OpenOOD v1.5 framework configuration on the test split. Metrics include FPR95 and 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) | OpenOOD CIFAR-100 (ID) Places365 (Far-OOD) v1.5 (test) |
| Metric | FPR@95 |
| Unit | PERCENT |
| Direction | Lower is better |
| Results loaded | 16 of 16 |
| 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-cifar-100-id-vs-places365-far-ood-openood-v1-5-test.md?metric=FPR%4095>): Lower is better; unit: PERCENT.

- [AUROC](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-cifar-100-id-vs-places365-far-ood-openood-v1-5-test.md?metric=AUROC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | FPR@95 | Result date | Report paper |
| --- | --- | --- | --- |
| GradNorm | 44.07 | Not recorded | 69f2e22e55a3c32af89fc781 |
| ViM | 46.51 | Not recorded | 69f2e22e55a3c32af89fc781 |
| SHE | 46.96 | Not recorded | 69f2e22e55a3c32af89fc781 |
| ReAct | 47.42 | Not recorded | 69f2e22e55a3c32af89fc781 |
| RMDS | 49.79 | Not recorded | 69f2e22e55a3c32af89fc781 |
| KNN | 50.66 | Not recorded | 69f2e22e55a3c32af89fc781 |
| EPD | 52.44 | Not recorded | 69f2e22e55a3c32af89fc781 |
| MDS | 56.47 | Not recorded | 69f2e22e55a3c32af89fc781 |
| EBO | 64.07 | Not recorded | 69f2e22e55a3c32af89fc781 |
| MLS | 64.07 | Not recorded | 69f2e22e55a3c32af89fc781 |
| TempScale | 64.19 | Not recorded | 69f2e22e55a3c32af89fc781 |
| GEN | 64.43 | Not recorded | 69f2e22e55a3c32af89fc781 |
| MSP | 64.56 | Not recorded | 69f2e22e55a3c32af89fc781 |
| DICE | 65.11 | Not recorded | 69f2e22e55a3c32af89fc781 |
| OpenMax | 66.2 | Not recorded | 69f2e22e55a3c32af89fc781 |
| ASH | 91.72 | Not recorded | 69f2e22e55a3c32af89fc781 |

### GradNorm

FPR@95: 44.07. Result ID: 69f303a547f34ce924d910ae.

[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","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### ViM

FPR@95: 46.51. Result ID: 69f303a547f34ce924d910b8.

[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","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### SHE

FPR@95: 46.96. Result ID: 69f303a547f34ce924d910b6.

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### ReAct

FPR@95: 47.42. Result ID: 69f303a547f34ce924d910b4.

[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","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### RMDS

FPR@95: 49.79. Result ID: 69f303a547f34ce924d910b5.

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### KNN

FPR@95: 50.66. Result ID: 69f303a547f34ce924d910af.

[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","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### EPD

FPR@95: 52.44. Result ID: 69f303a547f34ce924d910b9.

[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","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### MDS

FPR@95: 56.47. Result ID: 69f303a547f34ce924d910b0.

[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","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### EBO

FPR@95: 64.07. Result ID: 69f303a547f34ce924d910ac.

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

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### MLS

FPR@95: 64.07. Result ID: 69f303a547f34ce924d910b1.

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### TempScale

FPR@95: 64.19. Result ID: 69f303a547f34ce924d910b7.

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### GEN

FPR@95: 64.43. Result ID: 69f303a547f34ce924d910ad.

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### MSP

FPR@95: 64.56. Result ID: 69f303a547f34ce924d910b2.

[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","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### DICE

FPR@95: 65.11. Result ID: 69f303a547f34ce924d910ab.

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### OpenMax

FPR@95: 66.2. Result ID: 69f303a547f34ce924d910b3.

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

### ASH

FPR@95: 91.72. Result ID: 69f303a547f34ce924d910aa.

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

Recorded evaluation configuration: {"Backbone":"ViT-B/16","Pre-trained Model":"google/vit-base-patch16-224-in21k","ID Accuracy":"84.78%","Evaluation Protocol":"fine-tuned"}. This record does not assert independent reproduction.

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