2020
Unsupervised Learning of Object Landmarks via Self-Training Correspondence
NeurIPS 2020poster
This paper addresses the problem of unsupervised discovery of object landmarks. We take a different path compared to that of existing works, based on 2 novel perspectives: (1) Self-training: starting from generic keypoints, we propose a self-training approach where the goal is to learn a detector th…