Segmentation and detection: research map
324 accepted papers on Segmentation and detection in Point clouds, from ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026), grouped into 2 clusters and 6 approaches. The busiest year so far is 2023.
Within Point clouds, its share shrank from 21.9% in 2023–24 to 17.9% in 2025–26 (100 → 91 papers at ICML, NeurIPS, CVPR and AAAI, the venues with data for all four years).
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Approaches and key papers
semantic segmentation · cloud semantic · instance · 199 papers
Approaches in this cluster:
- Point cloud semantic segmentation (108 papers)
Segment point cloud scenes with weak supervision and joint semantic-instance learning. - LiDAR segmentation for driving (47 papers)
Segment LiDAR scans using domain adaptation, image distillation and efficient grid representations. - Scene completion and instance segmentation (44 papers)
Model object relations and open-vocabulary contrast for 3D instance segmentation and scene completion.
Most cited and most cited since 2024:
- RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (CVPR 2020 · 2,138 citations)
- 3D Semantic Parsing of Large-Scale Indoor Spaces (CVPR 2016 · 1,979 citations)
- OneFormer3D: One Transformer for Unified Point Cloud Segmentation (CVPR 2024 · 142 citations)
- OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation (CVPR 2024 · 66 citations)
detection · 3d object · detectors · 125 papers
Approaches in this cluster:
- LiDAR voxel and pillar detectors (56 papers)
Detect 3D objects in driving LiDAR with efficient voxel, pillar and domain-adaptive designs. - Single-stage point-voxel detection (45 papers)
Detect 3D objects directly from point clouds with proposal-based and hybrid voxel-point networks. - Multimodal and open-vocabulary 3D detection (24 papers)
Improve 3D detection with transformers, vision fusion, multi-domain training and open-vocabulary labels.
Most cited and most cited since 2024:
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection (CVPR 2018 · 4,733 citations)
- PointPillars: Fast Encoders for Object Detection From Point Clouds (CVPR 2019 · 4,587 citations)
- Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection (NeurIPS 2024 · 35 citations)
- LION: Linear Group RNN for 3D Object Detection in Point Clouds (NeurIPS 2024 · 29 citations)