Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

1 code implementation • 3 Aug 2020 • Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong

Although unsupervised feature learning has demonstrated its advantages to reducing the workload of data labeling and network design in many fields, existing unsupervised 3D learning methods still cannot offer a generic network for various shape analysis tasks with competitive performance to supervised methods.

3D Point Cloud Linear Classification 3D Semantic Segmentation