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cs.CV2024
LESS: Label-Efficient and Single-Stage Referring 3D Segmentation
Xuexun Liu, Xiaoxu Xu, Jinlong Li +4
Referring 3D Segmentation is a visual-language task that segments all points of the specified object from a 3D point cloud described by a sentence of query. Previous works perform…
cs.CV2024★ 1 cited
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance
Xiaoxu Xu, Yitian Yuan, Jinlong Li +6
In this paper, we propose 3DSS-VLG, a weakly supervised approach for 3D Semantic Segmentation with 2D Vision-Language Guidance, an alternative approach that a 3D model predicts den…
cs.CV2024★ 1 cited
Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling
Xu Wang, Yifan Li, Qiudan Zhang +3
Learning to build 3D scene graphs is essential for real-world perception in a structured and rich fashion. However, previous 3D scene graph generation methods utilize a fully super…