Point Cloud Segmentation
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Benchmarks
PointCloud-C
Most implemented
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Point Transformer
Dynamic Graph CNN for Learning on Point Clouds
OctFormer: Octree-based Transformers for 3D Point Clouds
Stratified Transformer for 3D Point Cloud Segmentation
Papers
COSTA: A Cluster-Centric Paradigm for Annotation-Free Open-Set Semantic Segmentation of Aerial Point Clouds with Domain Shifts
Semantic segmentation of aerial point cloud is trapped in a generalization crisis under distinct domain shifts. While test-time adaptation offers a privacy-preserving and computationally efficient way to adapt pre-traine…
Point Cloud SegmentationSemantic SegmentationTest-time AdaptationPoint CloudsLoss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance
Semantic segmentation of 3D point clouds faces severe class imbalance, yet the effectiveness of specialized imbalance-aware methods from 2D computer vision remains unclear in 3D contexts. We systematically evaluate 11 im…
Point Cloud SegmentationSemantic SegmentationPoint CloudsPoint Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom
High-risk applications in robotics, such as robot-assisted surgery, present unique challenges. These systems must be both highly precise and interpretable in order to be deployed in environments with very low tolerance f…
Point Cloud SegmentationData AugmentationPoint CloudsGeometric-Aware Hypergraph Reasoning for Novel Class Discovery in Point Cloud Segmentation
Novel class discovery in point cloud segmentation aims to transfer knowledge from known classes to automatically identify and segment unlabeled novel classes in point clouds. Existing methods mainly rely on pairwise asso…
Point Cloud SegmentationNovel Class DiscoverySemantic SegmentationPoint CloudsWHU-Infra3D: A Full-stack Multi-modal Dataset and Benchmark for 3D Roadside Infrastructure Inventory
The paradigm of digital twin cities is shifting from coarse visual mapping toward more precise and actionable digitization of urban assets. However, existing datasets predominantly focus on coarse visual perception, lack…
Point Cloud SegmentationPoint CloudsForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation
Semantic and instance segmentation of terrestrial and drone LiDAR point clouds is emerging as a transformative approach for converting the complex 3D structure of forests into actionable information for forest monitoring…
Point Cloud SegmentationInstance SegmentationPoint Clouds