1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
3D Weakly Supervised Semantic Segmentation via Class-Aware and Geometry-Guided Pseudo-Label Refinement
Xiaoxu Xu, Xuexun Liu, Jinlong Li +5
3D weakly supervised semantic segmentation (3D WSSS) aims to achieve semantic segmentation by leveraging sparse or low-cost annotated data, significantly reducing reliance on dense…
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…