ML Research Wiki / Benchmarks / 3D Semantic Segmentation / S3DIS

S3DIS

3D Semantic Segmentation Benchmark

Performance Over Time

📊 Showing 6 results | 📏 Metric: mIoU (Area-5)

Top Performing Models

Rank Model Paper mIoU (Area-5) Date Code
1 Superpoint Transformer Efficient 3D Semantic Segmentation with Superpoint Transformer 76.00 2023-06-13 📦 drprojects/superpoint_transformer
2 OneFormer3D OneFormer3D: One Transformer for Unified Point Cloud Segmentation 75.00 2023-11-24 📦 oneformer3d/oneformer3d
3 PointNext PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies 74.90 2022-06-09 📦 guochengqian/pointnext 📦 linhaojia13/pointmetabase 📦 boyden/pointtransformerfl
4 PointTransformer Point Transformer 73.50 2020-12-16 📦 Pointcept/Pointcept 📦 isl-org/Open3D-ML 📦 qq456cvb/Point-Transformers
5 PointTransformerV2 Point Transformer V2: Grouped Vector Attention and Partition-based Pooling 71.60 2022-10-11 📦 Pointcept/Pointcept 📦 Pointcept/PointTransformerV2
6 PVCNN++ Point-Voxel CNN for Efficient 3D Deep Learning 58.98 2019-07-08 📦 isl-org/Open3D-ML 📦 mit-han-lab/pvcnn 📦 zghera/voxel-tf-ops 📦 zghera/pvcnn-tf

All Papers (6)