ELWNet: An Extremely Lightweight Approach for Real-Time Salient Object Detection-Reference-Cited by-同舟云学术

ELWNet: An Extremely Lightweight Approach for Real-Time Salient Object Detection

Author:

Wang Zhenyu¹,Zhang Yunzhou²^ORCID,Liu Yan¹,Zhu Delong³^ORCID,Coleman Sonya A.⁴^ORCID,Kerr Dermot⁴^ORCID

Affiliation:

1. Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China

2. College of Information Science and Engineering, Northeastern University, Shenyang, China

3. Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China

4. Intelligent Systems Research Centre, Ulster University, Magee Campus, Londonderry, U.K

Funder

National Natural Science Foundation of China

Major Science and Technology Projects of Liaoning Province

Foundation of Key Laboratory of Aerospace System Simulation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference79 articles.

1. Siamese network for RGB-D salient object detection and beyond;fu;IEEE Trans Pattern Anal Mach Intell,2022

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