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Volumn 2016-December, Issue , 2016, Pages 598-606

Shallow and deep convolutional networks for saliency prediction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; FORECASTING; NEURAL NETWORKS;

EID: 84986276756     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.71     Document Type: Conference Paper
Times cited : (496)

References (33)
  • 4
    • 84986283926 scopus 로고    scopus 로고
    • Mapping human visual representations in space and time by neural networks
    • R. Cichy, A. Khosla, D. Pantazis, A. Torralba, and A. Oliva. Mapping human visual representations in space and time by neural networks. Journal of vision, 15 (12): 376-376, 2015.
    • (2015) Journal of Vision , vol.15 , Issue.12 , pp. 376
    • Cichy, R.1    Khosla, A.2    Pantazis, D.3    Torralba, A.4    Oliva, A.5
  • 27
    • 84911369162 scopus 로고    scopus 로고
    • Large-scale optimization of hierarchical features for saliency prediction in natural images
    • E. Vig, M. Dorr, and D. Cox. Large-scale optimization of hierarchical features for saliency prediction in natural images. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2798-2805, 2014.
    • (2014) IEEE Conference on Computer Vision and Pattern Recognition , pp. 2798-2805
    • Vig, E.1    Dorr, M.2    Cox, D.3
  • 30
    • 84906489074 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional networks. In Computer Vision-ECCV, pages 818-833. 2014.
    • (2014) Computer Vision-ECCV , pp. 818-833
    • Zeiler, M.D.1    Fergus, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.