Stereo Matching by Self-supervision of Multiscopic Vision
Weihao Yuan,Yazhan Zhang,Bingkun Wu,Siyu Zhu,Ping Tan,Michael Yu Wang,Qifeng Chen,Weihao Yuan,Yazhan Zhang,Bingkun Wu,Siyu Zhu,Ping Tan,Michael Yu Wang,Qifeng Chen
Self-supervised learning for depth estimation possesses several advantages over supervised learning. The benefits of no need for ground-truth depth, online fine-tuning, and better generalization with unlimited data attract researchers to seek self-supervised solutions. In this work, we propose a new self-supervised framework for stereo matching utilizing multiple images captured at aligned camera ...
