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A novel fully convolutional network for visual saliency prediction.

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第一作者： Bashir Muftah,Ghariba

第一单位： Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada.;Department of Electrical and Computer Engineering, Faculty of Engineering, Elmergib University, Khoms, Libya.

作者： Bashir Muftah,Ghariba ^[1] ; Mohamed S,Shehata ^[2] ; Peter,McGuire ^[3]

作者单位： Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada.;Department of Electrical and Computer Engineering, Faculty of Engineering, Elmergib University, Khoms, Libya. ^[1] Department of Computer Science, Mathematics, Physics and Statistics, University of British Columbia, Kelowna, BC, Canada. ^[2] C-CORE, St John's, NL, Canada. ^[3]

关键词 Convolutional neural networks Deep learning Encoder-decoder architecture Fully Convolutional Network Human eye fixation Semantic Segmentation

DOI 10.7717/peerj-cs.280

PMID 33816931

发布时间 2024-03-31

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PeerJ. Computer science

2020年6卷

e280页

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