Time-Contrastive Networks: Self-Supervised Learning from Video

Pierre Sermanet, Corey Lynch, Yevgen Chebotar +4

We propose a self-supervised approach for learning representations and robotic behaviors entirely from unlabeled videos recorded from multiple viewpoints, and study how this repres…