# Unsupervised Semantic Segmentation on ImageNet S300 (val)

Source: [Unsupervised Semantic Segmentation on ImageNet S300 (val)](<https://www.sota2.com/research/sota/unsupervised-semantic-segmentation-on-imagenet-s300-val>)

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

Data updated: 2026-02-26T06:10:17.339Z

Evaluation of Unsupervised Semantic Segmentation performance on the validation split of the ImageNet S300 subset, reporting metrics such as mIoU, b-mIoU, Img-Acc, and Fβ.

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 | Unsupervised Semantic Segmentation |
| Dataset (including any stated split) | ImageNet S300 (val) |
| Metric | mIoU |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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

- [mIoU](<https://www.sota2.com/research/sota/unsupervised-semantic-segmentation-on-imagenet-s300-val.md?metric=mIoU>): Higher is better; unit: PERCENT.

- [b-mIoU](<https://www.sota2.com/research/sota/unsupervised-semantic-segmentation-on-imagenet-s300-val.md?metric=b-mIoU>): Higher is better; unit: PERCENT.

- [Img-Acc](<https://www.sota2.com/research/sota/unsupervised-semantic-segmentation-on-imagenet-s300-val.md?metric=Img-Acc>): Higher is better; unit: PERCENT.

- [Fβ Score](<https://www.sota2.com/research/sota/unsupervised-semantic-segmentation-on-imagenet-s300-val.md?metric=F%CE%B2%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mIoU | Result date | Report paper |
| --- | --- | --- | --- |
| PASS\_s | 17.9 | Not recorded | 68fa6ddc1e209131cea3c7d5 |
| PASS\_p | 16.6 | Not recorded | 68fa6ddc1e209131cea3c7d5 |

### PASS\_s

mIoU: 17.9. Result ID: 698fe0bb3a6c314849fc7fe5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ddc1e209131cea3c7d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ddc1e209131cea3c7d5.md>)

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

Recorded evaluation configuration: {"Prior":"None"}. This record does not assert independent reproduction.

### PASS\_p

mIoU: 16.6. Result ID: 698fe0bb3a6c314849fc7fe4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ddc1e209131cea3c7d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ddc1e209131cea3c7d5.md>)

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

Recorded evaluation configuration: {"Prior":"None"}. This record does not assert independent reproduction.

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