Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation-Reference-Cited by-同舟云学术

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Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation

Published:2024-07 Issue:7 Volume:34 Page:5716-5727
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Xiang Mochu¹^ORCID,Zhang Jing²^ORCID,Barnes Nick²^ORCID,Dai Yuchao¹^ORCID

Affiliation:

1. School of Electronics and Information, Northwestern Polytechnical University and the Shaanxi Key Laboratory of Information Acquisition and Processing, Xi’an, China

2. School of Computing, The Australian National University, Canberra, ACT, Australia

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10582818/10422816.pdf?arnumber=10422816

Reference98 articles.

1. Vision Transformers for Dense Prediction

2. High quality monocular depth estimation via transfer learning;Alhashim;arXiv:1812.11941,2018

3. Learning to Recover 3D Scene Shape from a Single Image

4. Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals

5. AdaBins: Depth Estimation Using Adaptive Bins

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