# Image Classification on Camelyon17-WILDS (val)

Source: [Image Classification on Camelyon17-WILDS (val)](<https://www.sota2.com/research/sota/image-classification-on-camelyon17-wilds-val>)

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

Data updated: 2026-02-26T05:29:20.864Z

Evaluation of Image Classification performance on the validation split of the Camelyon17-WILDS dataset.

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 | Image Classification |
| Dataset (including any stated split) | Camelyon17-WILDS (val) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 11 of 11 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-camelyon17-wilds-val.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| BN adapt | 97.8 | Not recorded | 68fa71631e209131cea51178 |
| ENT | 97.6 | Not recorded | 68fa71631e209131cea51178 |
| RPL | 97.6 | Not recorded | 68fa71631e209131cea51178 |
| LStainNorm | 92.56 | Not recorded | 68fa7bec1e209131cea8b515 |
| Reinhard | 91.36 | Not recorded | 68fa7bec1e209131cea8b515 |
| StainGAN | 90.77 | Not recorded | 68fa7bec1e209131cea8b515 |
| BeerLaNet | 90.09 | Not recorded | 68fa7bec1e209131cea8b515 |
| Vahadane | 86.43 | Not recorded | 68fa7bec1e209131cea8b515 |
| Macenko | 85.77 | Not recorded | 68fa7bec1e209131cea8b515 |
| Baseline | 83.38 | Not recorded | 68fa7bec1e209131cea8b515 |
| Baseline | 81.4 | Not recorded | 68fa71631e209131cea51178 |

### BN adapt

Accuracy: 97.8. Result ID: 6991cc963a6c3148490aaa03.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71631e209131cea51178.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68a01e209131cea1d382.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet121"}. This record does not assert independent reproduction.

### ENT

Accuracy: 97.6. Result ID: 6991cc963a6c3148490aaa04.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71631e209131cea51178.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71631e209131cea51178.md>)

[Implementation](<https://github.com/bethgelab/robustness>)

Recorded evaluation configuration: {"Backbone":"DenseNet121"}. This record does not assert independent reproduction.

### RPL

Accuracy: 97.6. Result ID: 6991cc963a6c3148490aaa05.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71631e209131cea51178.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71631e209131cea51178.md>)

[Implementation](<https://github.com/bethgelab/robustness>)

Recorded evaluation configuration: {"Backbone":"DenseNet121"}. This record does not assert independent reproduction.

### LStainNorm

Accuracy: 92.56. Result ID: 698b8c647a967eddb76f7d8e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bec1e209131cea8b515.md>)

Recorded evaluation configuration: {"Classification Model":"ResNet18"}. This record does not assert independent reproduction.

### Reinhard

Accuracy: 91.36. Result ID: 698b8c647a967eddb76f7d8a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bec1e209131cea8b515.md>)

Recorded evaluation configuration: {"Classification Model":"ResNet18"}. This record does not assert independent reproduction.

### StainGAN

Accuracy: 90.77. Result ID: 698b8c647a967eddb76f7d8d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bec1e209131cea8b515.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa642d1e209131cea03292.md>)

Recorded evaluation configuration: {"Classification Model":"ResNet18"}. This record does not assert independent reproduction.

### BeerLaNet

Accuracy: 90.09. Result ID: 698b8c647a967eddb76f7d8f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bec1e209131cea8b515.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7bec1e209131cea8b515.md>)

[Implementation](<https://github.com/xutianyue/BeerLaNet>)

Recorded evaluation configuration: {"Classification Model":"ResNet18"}. This record does not assert independent reproduction.

### Vahadane

Accuracy: 86.43. Result ID: 698b8c647a967eddb76f7d8c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bec1e209131cea8b515.md>)

Recorded evaluation configuration: {"Classification Model":"ResNet18"}. This record does not assert independent reproduction.

### Macenko

Accuracy: 85.77. Result ID: 698b8c647a967eddb76f7d8b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bec1e209131cea8b515.md>)

Recorded evaluation configuration: {"Classification Model":"ResNet18"}. This record does not assert independent reproduction.

### Baseline

Accuracy: 83.38. Result ID: 698b8c647a967eddb76f7d89.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bec1e209131cea8b515.md>)

Recorded evaluation configuration: {"Classification Model":"ResNet18"}. This record does not assert independent reproduction.

### Baseline

Accuracy: 81.4. Result ID: 6991cc963a6c3148490aaa02.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71631e209131cea51178.md>)

Recorded evaluation configuration: {"Backbone":"DenseNet121"}. This record does not assert independent reproduction.

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