Adaptive Discrete Disparity Volume for Self-supervised Monocular Depth Estimation

A learnable module called Adaptive Discrete Disparity Volume (ADDV) is proposed to dynamically generate adaptive depth bins and estimate probability distributions for self-supervised monocular depth estimation, outperforming handcrafted discretization strategies.