Self-Supervised Learning for Stereo Matching with Self-Improving Ability

Yiran Zhong, Yuchao Dai, Hongdong Li

Exiting deep-learning based dense stereo matching methods often rely on ground-truth disparity maps as the training signals, which are however not always available in many situatio…