# Semantic Segmentation on S3DIS 1.0 (test)

Source: [Semantic Segmentation on S3DIS 1.0 (test)](<https://www.sota2.com/research/sota/semantic-segmentation-on-s3dis-1-0-test>)

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

Data updated: 2026-02-26T06:10:12.010Z

Evaluation of Semantic Segmentation performance on the test split of the S3DIS 1.0 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 | Semantic Segmentation |
| Dataset (including any stated split) | S3DIS 1.0 (test) |
| 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/semantic-segmentation-on-s3dis-1-0-test.md?metric=mIoU>): Higher is better; unit: PERCENT.

- [mAcc](<https://www.sota2.com/research/sota/semantic-segmentation-on-s3dis-1-0-test.md?metric=mAcc>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mIoU | Result date | Report paper |
| --- | --- | --- | --- |
| SGPN(DGCNN) | 59.29 | Not recorded | 68fa66d31e209131cea12ab8 |
| 3D-BEVIS | 58.37 | Not recorded | 68fa66d31e209131cea12ab8 |
| SGPN | 48.27 | Not recorded | 68fa66d31e209131cea12ab8 |

### SGPN(DGCNN)

mIoU: 59.29. Result ID: 698d0af48b517eb4331e8ff0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66d31e209131cea12ab8.md>)

Recorded evaluation configuration: {"feature network":"DGCNN"}. This record does not assert independent reproduction.

### 3D-BEVIS

mIoU: 58.37. Result ID: 698d0af48b517eb4331e8ff1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66d31e209131cea12ab8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66d31e209131cea12ab8.md>)

Recorded evaluation configuration: {"feature network":"DGCNN"}. This record does not assert independent reproduction.

### SGPN

mIoU: 48.27. Result ID: 698d0af48b517eb4331e8fef.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66d31e209131cea12ab8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65db1e209131cea0cde1.md>)

[Implementation](<https://www.sota2.com/github.com/laughtervv/SGPN>)

Recorded evaluation configuration: {"feature network":"PointNet"}. This record does not assert independent reproduction.

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