no code implementations • 30 Apr 2024 • Jiayi Han, Zidi Cao, Weibo Zheng, Xiangguo Zhou, Xiangjian He, Yuanfang Zhang, Daisen Wei
To the point cloud encoders to fit the extremely sparse point clouds without re-running the pre-training procedure which could be time-consuming and expensive, in this work, we propose an unsupervised model adaptation approach to enhance the point cloud encoder for the extremely sparse point clouds.