To address these issues, we propose the loss rebalancing algorithm that initializes and rebalances the weight for each loss function adaptively in the course of training.
We propose a novel algorithm for monocular depth estimation using relative depth maps.
Ranked #21 on Monocular Depth Estimation on NYU-Depth V2
We propose a monocular depth estimation algorithm, which extracts a depth map from a single image, based on whole strip masking (WSM) and reliability-based refinement.
We propose a deep learning algorithm for single-image depth estimation based on the Fourier frequency domain analysis.