Self-supervised domain adaptation on point clouds via homomorphic augmentation

Jiming Yang, Feipeng Da, Ru Hong

Abstract: Highlights•Proposing a novel self-supervised framework for domain adaptation.•Proposing intermediate domains with corresponding homomorphic augmentation.•Proposing a complementary label generation strategy in unsupervised learning.