The Third Monocular Depth Estimation Challenge

arXiv:2404.16831v1 Announce Type: new
Abstract: This paper discusses the results of the third edition of the Monocular Depth Estimation Challenge (MDEC). The challenge focuses on zero-shot generalization to the challenging SYNS-Patches dataset, featuring complex scenes in natural and indoor settings. As with the previous edition, methods can use any form of supervision, i.e. supervised or self-supervised. The challenge received a total of 19 submissions outperforming the baseline on the test set: 10 among them submitted a report describing their approach, …

abstract arxiv challenge cs.cv dataset form natural paper results supervision type zero-shot