Self-Supervised Learning for Monocular Depth Estimation on Minimally Invasive Surgery Scenes
Shuwei Shao Zhongcai Pei Weihai Chen Baochang Zhang Xingming Wu Dianmin Sun David Doermann Shuwei Shao Zhongcai Pei Weihai Chen Baochang Zhang Xingming Wu Dianmin Sun David Doermann
Self-supervised learning algorithms that compute depth map from monocular videos have achieved remarkable performance on urban scenes and have been applied extensively. These techniques still face significant challenges, however, when applied directly to endoscopic videos because of the brightness variations from frame to frame and inadequate representation learning during the training phase. Insp...