most cited3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance

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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

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…