Reliability-adaptive consistency regularization for weakly-supervised point cloud segmentation

Weakly-supervised point cloud segmentation with extremely limited labels is highly desirable to alleviate the expensive costs of collecting densely annotated 3D points. This paper explores applying the consistency regularization that is commonly used in weakly-supervised learning, for its point clou...

全面介紹

Saved in:
書目詳細資料
Main Authors: Wu, Zhonghua, Wu, Yicheng, Lin, Guosheng, Cai, Jianfei
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2024
主題:
在線閱讀:https://hdl.handle.net/10356/176275
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!