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

DALES

3D Semantic Segmentation Benchmark

Performance Over Time

📊 Showing 8 results | 📏 Metric: mIoU

Top Performing Models

Rank Model Paper mIoU Date Code
1 KPConv KPConv: Flexible and Deformable Convolution for Point Clouds 81.10 2019-04-18 📦 isl-org/Open3D-ML 📦 HuguesTHOMAS/KPConv-PyTorch 📦 HuguesTHOMAS/KPConv
2 Superpoint Transformer Efficient 3D Semantic Segmentation with Superpoint Transformer 79.60 2023-06-13 📦 drprojects/superpoint_transformer
3 EyeNet Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene 79.60 2023-01-30 📦 Yacovitch/EyeNet
4 SuperCluster Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering 77.30 2024-01-12 📦 drprojects/superpoint_transformer
5 PointNet++ PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 68.30 2017-06-07 📦 yanx27/Pointnet_Pointnet2_pytorch 📦 charlesq34/pointnet2 📦 facebookresearch/votenet
6 ConvPoint ConvPoint: Continuous Convolutions for Point Cloud Processing 67.40 2019-04-04 📦 aboulch/ConvPoint
7 SPG Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs 60.60 2017-11-27 📦 loicland/superpoint_graph 📦 jsgaobiao/superpoint_graph
8 ShellNet ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics 57.40 2019-08-17 📦 hkust-vgd/shellnet

All Papers (8)