# Semantic Segmentation on SYNTHIA (ASR, mIoU)

Source: [Semantic Segmentation on SYNTHIA (ASR, mIoU)](<https://www.sota2.com/research/sota/semantic-segmentation-on-synthia-asr-miou>)

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

Data updated: 2026-02-26T05:23:48.934Z

Evaluation of Semantic Segmentation performance on the SYNTHIA dataset, reporting Accuracy Score Rate (ASR) and Mean Intersection over Union (mIoU).

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 | Semantic Segmentation |
| Dataset (including any stated split) | SYNTHIA |
| Metric | ASR |
| 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

- [ASR](<https://www.sota2.com/research/sota/semantic-segmentation-on-synthia-asr-miou.md?metric=ASR>): Higher is better; unit: PERCENT.

- [mIoU (m=0)](<https://www.sota2.com/research/sota/semantic-segmentation-on-synthia-asr-miou.md?metric=mIoU%20(m%3D0)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | ASR | Result date | Report paper |
| --- | --- | --- | --- |
| BatchNorm | 69.17 | Not recorded | 68fa72ad1e209131cea57d0a |
| MedBN | 0 | Not recorded | 68fa72ad1e209131cea57d0a |

### BatchNorm

ASR: 69.17. Result ID: 69924e813a6c3148490e0ba6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72ad1e209131cea57d0a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61b71e209131ce9f5a8f.md>)

Recorded evaluation configuration: {"Normalization":"BatchNorm","Adaptation Method":"TeBN","Source Dataset":"Cityscapes"}. This record does not assert independent reproduction.

### MedBN

ASR: 0. Result ID: 69924e813a6c3148490e0ba7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72ad1e209131cea57d0a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72ad1e209131cea57d0a.md>)

[Implementation](<https://github.com/ml-postech/MedBN-robust-test-time-adaptation>)

Recorded evaluation configuration: {"Normalization":"MedBN","Adaptation Method":"TeBN","Source Dataset":"Cityscapes"}. This record does not assert independent reproduction.

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