Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation
Author:
Affiliation:
1. CASIA School of Artificial Intelligence, UCAS,State Key Laboratory of Multimodal Artificial Intelligence Systems
Funder
Chinese Academy of Sciences
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377093.pdf?arnumber=10377093
Reference62 articles.
1. Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation
2. Forget about the lidar: Self-supervised depth estimators with med probability volumes;Gonzalez Bello;Advances in Neural Information Processing Systems,2020
3. Self-Supervised Deep Monocular Depth Estimation with Ambiguity Boosting
4. PatchMatch Stereo - Stereo Matching with Slanted Support Windows
5. Pyramid Stereo Matching Network
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1. Complete contextual information extraction for self-supervised monocular depth estimation;Computer Vision and Image Understanding;2024-08
2. R-LKDepth: Recurrent Depth Learning With Larger Kernel;IEEE Signal Processing Letters;2024
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