Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging-Reference-Cited by-同舟云学术

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Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging

Published:2021-06 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Miangoleh S. Mahdi H.,Dille Sebastian,Mai Long,Paris Sylvain,Aksoy Yagiz

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9577055/9577056/09578642.pdf?arnumber=9578642

Cited by 106 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey;ACM Computing Surveys;2024-07-15

3. Scale-Invariant Monocular Depth Estimation via SSI Depth;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

4. CREATION METHOD OF KOMOREBI DESIGN USING DEEP LEARNING AND EVOLUTIONARY ALGORITHM;AIJ Journal of Technology and Design;2024-06-20

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