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

Reference80 articles.

1. Cross-modality fusion and progressive integration network for saliency prediction on stereoscopic 3D images;mao;IEEE Trans Multimedia,2021

2. Deep Residual Learning for Image Recognition

3. ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection

4. Very deep convolutional networks for large-scale image recognition;simonyan;Proc ICLR,2015

5. Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Co-saliency detection with two-stage co-attention mining and individual calibration;Engineering Applications of Artificial Intelligence;2024-01

2. Salient Object Detection With Edge-Guided Learning and Specific Aggregation;IEEE Transactions on Circuits and Systems for Video Technology;2024-01

3. SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Frequency Perception Network for Camouflaged Object Detection;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. YOLO*C — Adding context improves YOLO performance;Neurocomputing;2023-10