In this work, we improve the self-supervised learning framework for depth estimation using consecutive frames from monocular and stereo videos. The main idea is ...
In this work, we improve the self-supervised learn- ing framework for depth estimation using consecutive frames from monocular and stereo videos. The main idea ...
This work improves the self-supervised learning framework for depth estimation using consecutive frames from monocular and stereo videos by exploiting an ...
Jun 28, 2021 · PDF | On Jun 6, 2021, Jianrong Wang and others published Self-Supervised Depth Estimation Via Implicit Cues from Videos | Find, ...
Aug 2, 2024 · This approach avoids the need for ground truth labels by utilizing unlabeled monocular videos during training. Our methodology leverages both ...
This work proposes a novel self-supervised joint learning framework for depth estimation using consecutive frames from monocular and stereo videos using an ...
A list of published papers/open source codes/useful and interesting projects for Depth Estimation and other related fields.
Self-supervised monocular depth estimation can exhibit excellent performance in static environments due to the multi-view consistency assumption during the ...
Missing: Implicit | Show results with:Implicit
Self-supervised learning-based depth estimation from monocular videos is a challenging yet promising way for 3D environment perception.
Such an approach uses depth and pose predictions to synthesize neighboring images in a video sequence and enforce consistency between them. As the image ...