# Coarse-level Semantic Segmentation on TUM2TWIN

Source: [Coarse-level Semantic Segmentation on TUM2TWIN](<https://www.sota2.com/research/sota/coarse-level-semantic-segmentation-on-tum2twin>)

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

Data updated: 2026-04-14T11:49:28.360Z

Evaluation of Coarse-level Semantic Segmentation performance on the TUM2TWIN dataset, reporting Intersection over Union (IoU), Accuracy, Precision, and Recall.

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 | Coarse-level Semantic Segmentation |
| Dataset (including any stated split) | TUM2TWIN |
| Metric | mIoU |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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/coarse-level-semantic-segmentation-on-tum2twin.md?metric=mIoU>): Higher is better; unit: PERCENT.

- [Accuracy](<https://www.sota2.com/research/sota/coarse-level-semantic-segmentation-on-tum2twin.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/coarse-level-semantic-segmentation-on-tum2twin.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/coarse-level-semantic-segmentation-on-tum2twin.md?metric=Recall>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mIoU | Result date | Report paper |
| --- | --- | --- | --- |
| GS4City | 93.1 | Not recorded | 69ddca4f7d0172140ec79d27 |
| Gaga | 77.3 | Not recorded | 69ddca4f7d0172140ec79d27 |
| LangSplat | 67.5 | Not recorded | 69ddca4f7d0172140ec79d27 |

### GS4City

mIoU: 93.1. Result ID: 69de29b747f34ce924c6c7cf.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca4f7d0172140ec79d27.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ddca4f7d0172140ec79d27.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Gaga

mIoU: 77.3. Result ID: 69de29b747f34ce924c6c7ce.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca4f7d0172140ec79d27.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7a561e209131cea82917.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### LangSplat

mIoU: 67.5. Result ID: 69de29b747f34ce924c6c7cd.

[Reporting paper](<https://www.sota2.com/research/paper/69ddca4f7d0172140ec79d27.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72c11e209131cea58662.md>)

[Implementation](<https://langsplat.github.io/>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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