Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth. (arXiv:2201.07436v1 [cs.CV])

Depth estimation from a single image is an important task that can be applied
to various fields in computer vision, and has grown rapidly with the
development of convolutional neural networks. In this paper, we propose a novel
structure and training strategy for monocular depth estimation to further
improve the prediction accuracy of the network. We deploy a hierarchical
transformer encoder to capture and convey the global context, and design a
lightweight yet powerful decoder to generate an estimated depth …

arxiv cv global networks path