Multi-task Learning for Monocular Depth and Defocus Estimations with Real Images. (arXiv:2208.09848v1 [cs.CV])

Monocular depth estimation and defocus estimation are two fundamental tasks
in computer vision. Most existing methods treat depth estimation and defocus
estimation as two separate tasks, ignoring the strong connection between them.
In this work, we propose a multi-task learning network consisting of an encoder
with two decoders to estimate the depth and defocus map from a single focused
image. Through the multi-task network, the depth estimation facilitates the
defocus estimation to get better results in the weak texture region …

arxiv cv estimations images learning multi-task learning