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

• المؤلفون الرئيسيون: Wu, Zhonghua, Wu, Yicheng, Lin, Guosheng, Cai, Jianfei
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Weakly supervision; Point cloud
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/176275
• المؤسسة: Nanyang Technological University

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...