Adrian Johnston

Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume

Monocular depth estimation has become one of the most studied applications in computer vision, where the most accurate approaches are based on fully supervised learning models. However, the acquisition of accurate and large ground truth data sets to model these fully supervised methods is a major ch…