Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Yongjia Zou"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 8, Pp 1445-1458 (2024)
Abstract Aiming to address the challenge where existing methods struggle to predict accurate disparities for imperfectly rectified stereo images, and that supervised training requires a considerable amount of ground truth, a self‐supervised binocul
Externí odkaz:
https://doaj.org/article/3948519a1acd487c9223feacd52fb901
Publikováno v:
IEEE Access, Vol 12, Pp 167934-167943 (2024)
Self-supervised monocular depth estimation is a promising research area due to its ability to train models without relying on expensive and difficult-to-obtain ground truth depth labels. In this domain, models often employ Convolutional Neural Networ
Externí odkaz:
https://doaj.org/article/ab95fce7edca41bfaf9312c0daf5e727