TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Computer Vision/3D Semantic Segmentation/SensatUrban

3D Semantic Segmentation on SensatUrban

Metric: mIoU (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕mIoU▼Extra DataPaperDate↕Code
1LCPFormer63.4NoLCPFormer: Towards Effective 3D Point Cloud Anal...2022-10-23Code
2EyeNet62.3NoHuman Vision Based 3D Point Cloud Semantic Segme...2023-01-30Code
3BEV-Seg3D-Net61.7NoEfficient Urban-scale Point Clouds Segmentation ...2021-09-19Code
4KPConv57.58NoKPConv: Flexible and Deformable Convolution for ...2019-04-18Code
5SCF-Net55.1No--Code
6SparseConv42.66No3D Semantic Segmentation with Submanifold Sparse...2017-11-28Code
7SPGraph37.29NoLarge-scale Point Cloud Semantic Segmentation wi...2017-11-27Code
8TangentConv33.3NoTangent Convolutions for Dense Prediction in 3D2018-07-06Code