GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector-Reference-Cited by-同舟云学术

GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector

Author:

Zheng Peng¹^ORCID,Fu Huazhu²^ORCID,Fan Deng-Ping³^ORCID,Fan Qi⁴^ORCID,Qin Jie¹^ORCID,Tai Yu-Wing⁵^ORCID,Tang Chi-Keung⁴^ORCID,Van Gool Luc⁶^ORCID

Affiliation:

1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore

3. Computer Vision Lab (CVL), ETH Zurich, Zurich, Switzerland

4. Hong Kong University of Science and Technology, Hong Kong

5. Kuaishou Technology, Hong Kong University of Science and Technology, Hong Kong

6. Computer Vision Lab, ETH Zurich, Zurich, Switzerland

Funder

Huazhu Fu's A*STAR Central Research Fund

Career Development Fund

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference121 articles.

1. Deep object co-segmentation;li;Proc Asian Conf Comput Vis,2018

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