Global-and-Local Collaborative Learning for Co-Salient Object Detection-Reference-Cited by-同舟云学术

Global-and-Local Collaborative Learning for Co-Salient Object Detection

Published:2023-03 Issue:3 Volume:53 Page:1920-1931
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Cong Runmin¹^ORCID,Yang Ning¹,Li Chongyi²^ORCID,Fu Huazhu³^ORCID,Zhao Yao¹^ORCID,Huang Qingming⁴^ORCID,Kwong Sam⁵^ORCID

Affiliation:

1. Institute of Information Science and the Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China

2. School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore

3. Institute of High Performance Computing, A*STAR, #16-16 Connexis, Singapore

4. School of Computer Science and Technology and the Key Laboratory of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China

5. Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China

Funder

National Key Research and Development Program of China

Beijing Nova Program

National Natural Science Foundation of China

Beijing Natural Science Foundation

Hong Kong Research Grants Council (RGC) General Research Funds

Hong Kong Innovation and Technology Commission

Young Elite Scientist Sponsorship Program by the China Association for Science and Technology

Young Elite Scientist Sponsorship Program by the Beijing Association for Science and Technology

Hong Kong Scholars Program

CAAI-Huawei MindSpore Open Fund

Miss Yang’s Project of the Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/10045549/09837785.pdf?arnumber=9837785

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