VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars
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Abstract (arXiv)
A unified neural network structure is presented for joint 3D object detection and point cloud segmentation in this paper. We leverage rich supervision from both detection and segmentation labels rather than using just one of them. In addition, an extension based on single-stage object detectors is proposed based on the implicit function widely used in 3D scene and object understanding. The extension branch takes the final feature map from the object detection module as input, and produces an implicit function that generates semantic distribution for each point for its corresponding voxel center. We demonstrated the performance of our structure on nuScenes-lidarseg, a large-scale outdoor dataset. Our solution achieves competitive results against state-of-the-art methods in both 3D object detection and point cloud segmentation with little additional computation load compared with object detection solutions. The capability of efficient weakly supervision semantic segmentation of the proposed method is also validated by experiments.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 43 of its 52 references that are in the map. First posted on arXiv 7 Jul 2021.
Builds on
43 of 52 references.
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31 more
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Built on by
Citing papers per year: 2021: 1; 2022: 3; 2023: 1; 2024: 0; 2025: 1.
6 papers.
- 2022V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformercited by 320
- 2022Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projectioncited by 39
- 20234D Panoptic Segmentation as Invariant and Equivariant Field Predictioncited by 19
- 2022ImpDet: Exploring Implicit Fields for 3D Object Detectioncited by 4
- 2025Is clustering enough for LiDAR instance segmentation? A state-of-the-art training-free baselinecited by 1
- 2021Scalable 3D Semantic Segmentation for Gun Detection in CT Scanscited by 0
- 2025Is clustering enough for LiDAR instance segmentation? A state-of-the-art training-free baseline17 Mar 2025
- 20234D Panoptic Segmentation as Invariant and Equivariant Field Prediction28 Mar 2023
- 2022Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection22 Jul 2022
- 2022ImpDet: Exploring Implicit Fields for 3D Object Detection31 Mar 2022
- 2022V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer20 Mar 2022
- 2021Scalable 3D Semantic Segmentation for Gun Detection in CT Scans7 Dec 2021