# Semantic Segmentation on SemanticKITTI (Sequence 08)

Source: [Semantic Segmentation on SemanticKITTI (Sequence 08)](<https://www.sota2.com/research/sota/semantic-segmentation-on-semantickitti-sequence-08>)

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

Data updated: 2026-02-26T06:07:31.228Z

Evaluation of Semantic Segmentation performance on Sequence 08 of the SemanticKITTI dataset, focusing on inference efficiency metrics such as total time, model parameters, and maximum inference points.

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) | SemanticKITTI (Sequence 08) |
| Metric | Total time (s) |
| Unit | TIME |
| Direction | Lower is better |
| Results loaded | 6 of 6 |
| 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

- [Total time (s)](<https://www.sota2.com/research/sota/semantic-segmentation-on-semantickitti-sequence-08.md?metric=Total%20time%20(s)>): Lower is better; unit: TIME.

- [Parameters (M)](<https://www.sota2.com/research/sota/semantic-segmentation-on-semantickitti-sequence-08.md?metric=Parameters%20(M)>): Higher is better; unit: SIZE.

- [Max inference points (M)](<https://www.sota2.com/research/sota/semantic-segmentation-on-semantickitti-sequence-08.md?metric=Max%20inference%20points%20(M)>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Total time (s) | Result date | Report paper |
| --- | --- | --- | --- |
| RandLA-Net | 185 | Not recorded | 68fa67771e209131cea16862 |
| PointNet (Vanilla) | 192 | Not recorded | 68fa67771e209131cea16862 |
| KPConv | 717 | Not recorded | 68fa67771e209131cea16862 |
| PointCNN | 8142 | Not recorded | 68fa67771e209131cea16862 |
| PointNet++ (SSG) | 9831 | Not recorded | 68fa67771e209131cea16862 |
| SPG | 43584 | Not recorded | 68fa67771e209131cea16862 |

### RandLA-Net

Total time (s): 185. Result ID: 698d38478b517eb4331fe18b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67771e209131cea16862.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67771e209131cea16862.md>)

Recorded evaluation configuration: {"Input points":"81920","CPU":"AMD 3700X @3.6GHz","GPU":"NVIDIA RTX2080Ti"}. This record does not assert independent reproduction.

### PointNet (Vanilla)

Total time (s): 192. Result ID: 698d38478b517eb4331fe186.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67771e209131cea16862.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa634f1e209131ce9fe019.md>)

Recorded evaluation configuration: {"Input points":"81920","CPU":"AMD 3700X @3.6GHz","GPU":"NVIDIA RTX2080Ti"}. This record does not assert independent reproduction.

### KPConv

Total time (s): 717. Result ID: 698d38478b517eb4331fe18a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67771e209131cea16862.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66341e209131cea0ebe7.md>)

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

Recorded evaluation configuration: {"Input points":"81920","CPU":"AMD 3700X @3.6GHz","GPU":"NVIDIA RTX2080Ti"}. This record does not assert independent reproduction.

### PointCNN

Total time (s): 8142. Result ID: 698d38478b517eb4331fe188.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67771e209131cea16862.md>)

Recorded evaluation configuration: {"Input points":"81920","CPU":"AMD 3700X @3.6GHz","GPU":"NVIDIA RTX2080Ti"}. This record does not assert independent reproduction.

### PointNet++ (SSG)

Total time (s): 9831. Result ID: 698d38478b517eb4331fe187.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67771e209131cea16862.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63641e209131ce9fe5a5.md>)

Recorded evaluation configuration: {"Input points":"81920","CPU":"AMD 3700X @3.6GHz","GPU":"NVIDIA RTX2080Ti"}. This record does not assert independent reproduction.

### SPG

Total time (s): 43584. Result ID: 698d38478b517eb4331fe189.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67771e209131cea16862.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa642f1e209131cea03453.md>)

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

Recorded evaluation configuration: {"Input points":"81920","CPU":"AMD 3700X @3.6GHz","GPU":"NVIDIA RTX2080Ti"}. This record does not assert independent reproduction.

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