DAGCN: Dynamic and Adaptive Graph Convolutional Network for Salient Object Detection-Reference-Cited by-同舟云学术

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DAGCN: Dynamic and Adaptive Graph Convolutional Network for Salient Object Detection

Published:2022 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Li Ce¹^ORCID,Liu Fenghua¹^ORCID,Tian Zhiqiang²,Du Shaoyi³^ORCID,Wu Yang⁴^ORCID

Affiliation:

1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China

2. School of Software Engineering, Xi’an Jiaotong University, Xi’an, China

3. College of Artificial Intelligence, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China

4. ARC Laboratory, Tencent PCG, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Research and Development Program of Shaanxi Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09947338.pdf?arnumber=9947338

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