LD-Net: A Lightweight Network for Real-Time Self-Supervised Monocular Depth Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3160656
Abstract: Self-supervised monocular depth estimation from video sequences is promising for 3D environments perception. However, most existing methods use complicated depth networks to realize monocular depth estimation, which are often difficultly applied to resource-constrained devices. To… read more here.
Keywords: self supervised; monocular depth; depth estimation; supervised monocular ... See more keywords
MonodepthPlus: self-supervised monocular depth estimation using soft-attention and learnable outlier-masking
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.2.023017
Abstract: Abstract. Self-supervised learning of depth from monocular videos has recently drawn attention as it has notable advantages over supervised ones in a training framework. We propose a self-supervised monocular depth estimation method with a set… read more here.
Keywords: self supervised; attention; depth; supervised monocular ... See more keywords