Exploring Spatial Correlation for Light Field Saliency Detection: Expansion From a Single View

Author:

Zhang Miao1ORCID,Xu Shuang2ORCID,Piao Yongri3ORCID,Lu Huchuan3ORCID

Affiliation:

1. DUT-RU International School of Information Science and Engineering and the Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian University of Technology, Dalian, China

2. School of Software Engineering, Dalian University of Technology, Dalian, China

3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

Funder

National Natural Science Foundation of China

Central Government Guided Local Science and Technology Development Funds of Liaoning Province

Natural Science Foundation of Liaoning Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 8 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. Rethinking Feature Mining for Light Field Salient Object Detection;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-07-08

2. Visual Model of Pattern Design Based on Deep Convolutional Neural Network;KSII Transactions on Internet and Information Systems;2024-02-29

3. Masked Generative Light Field Prompting for Pixel-Level Structure Segmentations;Research;2024-01

4. Parallax-Aware Network for Light Field Salient Object Detection;IEEE Signal Processing Letters;2024

5. Semi-Supervised Semantic Segmentation for Light Field Images Using Disparity Information;IEEE Transactions on Image Processing;2024

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