IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation-Reference-Cited by-同舟云学术

IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation

Author:

Feng Cheng¹^ORCID,Chen Zhen¹^ORCID,Zhang Congxuan²^ORCID,Hu Weiming³^ORCID,Li Bing³^ORCID,Lu Feng⁴

Affiliation:

1. School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China

2. Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang, China

3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

4. School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

National Natural Science Foundation of Jiangxi Province

Technology Innovation Guidance Program of Jiangxi Province

Open Fund for Key Laboratory of Image Processing and Pattern Recognition of Jiangxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference68 articles.

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