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Volumn 2016-December, Issue , 2016, Pages 3668-3677

Recurrent Attentional Networks for Saliency Detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; ITERATIVE METHODS;

EID: 84986334038     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.399     Document Type: Conference Paper
Times cited : (255)

References (50)
  • 8
    • 84898597694 scopus 로고    scopus 로고
    • Salientshape: Group saliency in image collections
    • M.-M. Cheng, N. Mitra, X. Huang, and S.-M. Hu. Salientshape: group saliency in image collections. The Visual Computer, 30(4):443-453, 2014.
    • (2014) The Visual Computer , vol.30 , Issue.4 , pp. 443-453
    • Cheng, M.-M.1    Mitra, N.2    Huang, X.3    Hu, S.-M.4
  • 11
    • 26444565569 scopus 로고
    • Finding structure in time
    • J. L. Elman. Finding structure in time. Cognitive science, 14(2):179-211, 1990.
    • (1990) Cognitive Science , vol.14 , Issue.2 , pp. 179-211
    • Elman, J.L.1
  • 20
    • 84976894417 scopus 로고    scopus 로고
    • Batch normalization: Accelerating deep network training by reducing internal covariate shift
    • S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. Journal of Machine Learning Research, 2015.
    • (2015) Journal of Machine Learning Research
    • Ioffe, S.1    Szegedy, C.2
  • 42
  • 43
    • 84911369162 scopus 로고    scopus 로고
    • Large-scale optimization of hierarchical features for saliency prediction in natural images
    • IEEE
    • 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. IEEE, 2014.
    • (2014) IEEE Conference on Computer Vision and Pattern Recognition , pp. 2798-2805
    • Vig, E.1    Dorr, M.2    Cox, D.3
  • 48


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.