# LiDAR Semantic Segmentation on SemanticKITTI-C 1.0 (val)

Source: [LiDAR Semantic Segmentation on SemanticKITTI-C 1.0 (val)](<https://www.sota2.com/research/sota/lidar-semantic-segmentation-on-semantickitti-c-1-0-val>)

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

Data updated: 2026-02-26T06:10:09.679Z

Evaluation of LiDAR Semantic Segmentation performance on the validation split of the SemanticKITTI-C 1.0 dataset, reporting mean Intersection over Union (mIoU) and performance metrics under specific environmental conditions (Fog, Snow, Beam, Echo).

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 | LiDAR Semantic Segmentation |
| Dataset (including any stated split) | SemanticKITTI-C 1.0 (val) |
| 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/lidar-semantic-segmentation-on-semantickitti-c-1-0-val.md?metric=mIoU>): Higher is better; unit: PERCENT.

- [mIoU (Fog)](<https://www.sota2.com/research/sota/lidar-semantic-segmentation-on-semantickitti-c-1-0-val.md?metric=mIoU%20(Fog)>): Higher is better; unit: PERCENT.

- [mIoU (Snow)](<https://www.sota2.com/research/sota/lidar-semantic-segmentation-on-semantickitti-c-1-0-val.md?metric=mIoU%20(Snow)>): Higher is better; unit: PERCENT.

- [mIoU (Beam)](<https://www.sota2.com/research/sota/lidar-semantic-segmentation-on-semantickitti-c-1-0-val.md?metric=mIoU%20(Beam)>): Higher is better; unit: PERCENT.

- [mIoU (Echo)](<https://www.sota2.com/research/sota/lidar-semantic-segmentation-on-semantickitti-c-1-0-val.md?metric=mIoU%20(Echo)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mIoU | Result date | Report paper |
| --- | --- | --- | --- |
| FRNet | 68.7 | Not recorded | 68fa778f1e209131cea73e97 |
| HiLoTs | 67.8 | Not recorded | 68fa778f1e209131cea73e97 |
| CENet | 62.6 | Not recorded | 68fa778f1e209131cea73e97 |

### FRNet

mIoU: 68.7. Result ID: 69953f2d3badfaffe628b805.

[Reporting paper](<https://www.sota2.com/research/paper/68fa778f1e209131cea73e97.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77951e209131cea7422b.md>)

[Implementation](<https://github.com/Xiangxu-0103/FRNet>)

Recorded evaluation configuration: {"Training Supervision":"Fully-supervised"}. This record does not assert independent reproduction.

### HiLoTs

mIoU: 67.8. Result ID: 69953f2d3badfaffe628b806.

[Reporting paper](<https://www.sota2.com/research/paper/68fa778f1e209131cea73e97.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa778f1e209131cea73e97.md>)

[Implementation](<https://github.com/rdlin118/HiLoTs>)

Recorded evaluation configuration: {"Training Supervision":"Semi-supervised"}. This record does not assert independent reproduction.

### CENet

mIoU: 62.6. Result ID: 69953f2d3badfaffe628b804.

[Reporting paper](<https://www.sota2.com/research/paper/68fa778f1e209131cea73e97.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d1e1e209131cea37e55.md>)

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

Recorded evaluation configuration: {"Training Supervision":"Fully-supervised"}. This record does not assert independent reproduction.

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