Learn to Adapt for Self-Supervised Monocular Depth Estimation-Reference-Cited by-同舟云学术

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Learn to Adapt for Self-Supervised Monocular Depth Estimation

Published:2023 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Sun Qiyu¹,Yen Gary G.²^ORCID,Tang Yang¹^ORCID,Zhao Chaoqiang¹

Affiliation:

1. Ministry of Education, Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China

2. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Program of Shanghai Academic Research Leader

Sino-German Center for Research Promotion

Program of Introducing Talents of Discipline to Universities through the 111 Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10173776.pdf?arnumber=10173776

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