3 papers
cs.CV2026
MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation
Yibo Zhao, Yigong Zhang, Jin Xie
Conventional 3D instance segmentation methods rely on labor-intensive 3D annotations for supervised training, which limits their scalability and generalization to novel objects. Re…
cs.CV2025
Sketchy Bounding-box Supervision for 3D Instance Segmentation
Qian Deng, Le Hui, Jin Xie +1
Bounding box supervision has gained considerable attention in weakly supervised 3D instance segmentation. While this approach alleviates the need for extensive point-level annotati…
cs.CV2023
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
Yun Zhu, Le Hui, Yaqi Shen +1
Current 3D object detection methods for indoor scenes mainly follow the voting-and-grouping strategy to generate proposals. However, most methods utilize instance-agnostic grouping…