Reusable Architecture Growth for Continual Stereo Matching-Reference-Cited by-同舟云学术

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Reusable Architecture Growth for Continual Stereo Matching

Published:2024-09 Issue:9 Volume:46 Page:6167-6184
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Zhang Chenghao¹^ORCID,Meng Gaofeng¹^ORCID,Fan Bin²^ORCID,Tian Kun¹^ORCID,Zhang Zhaoxiang¹^ORCID,Xiang Shiming¹^ORCID,Pan Chunhong¹^ORCID

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. School of Intelligence Science and Technology and the Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China

Funder

National Natural Science Foundation of China

Civil Aerospace Technologies

National Defense Basic Scientific Research Program of China

innoHK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10627928/10475553.pdf?arnumber=10475553

Reference78 articles.

1. 3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection

2. 3-D Depth Reconstruction from a Single Still Image

3. PL-SLAM: A Stereo SLAM System Through the Combination of Points and Line Segments

4. ImageNet classification with deep convolutional neural networks;Krizhevsky

5. Measurement Reliability and Validity

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