On Robust Cross-view Consistency In Self-supervised Monocular Depth

This article discusses the importance of understanding the 3D structure of scenes in machine perception, particularly in the fields of autonomous driving and robot vision. It explores the challenges of monocular depth estimation and the use of deep learning, specifically convolutional neural networks, to improve performance. The article also mentions the use of self-supervised learning for monocular depth estimation and visual odometry prediction.