most citedVisual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2024★ 2 cited

Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

Jingyi Xu, Weidong Yang, Lingdong Kong +4

Unsupervised domain adaptation (UDA) is vital for alleviating the workload of labeling 3D point cloud data and mitigating the absence of labels when facing a newly defined domain.…