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@inproceedings{bb8061,
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@inproceedings{bb8062,
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@inproceedings{bb8063,
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@inproceedings{bb8064,
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@inproceedings{bb8065,
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@inproceedings{bb8066,
        AUTHOR = "Zhang, K. and Li, T. and Liu, B. and Liu, Q.S.",
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Multi-Scale Label Smoothing",
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@inproceedings{bb8067,
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@inproceedings{bb8068,
        AUTHOR = "Zhu, C. and Yan, W. and Liu, S. and Li, T. and Li, G.",
        TITLE = "Salient Contour-Aware Based Twice Learning Strategy for Saliency
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@inproceedings{bb8069,
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A Multiple Noisy Labeling Perspective",
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@inproceedings{bb8070,
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        TITLE = "Do Deep-Learning Saliency Models Really Model Saliency?",
        BOOKTITLE = ICIP18,
        YEAR = "2018",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/compute62de1.html#TT6714"}

@inproceedings{bb8071,
        AUTHOR = "Wang, T. and Zhang, L. and Wang, S. and Lu, H. and Yang, G. and Ruan, X. and Borji, A.",
        TITLE = "Detect Globally, Refine Locally: A Novel Approach to Saliency
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        YEAR = "2018",
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@inproceedings{bb8072,
        AUTHOR = "Zeng, Y. and Lu, H. and Zhang, L. and Feng, M. and Borji, A.",
        TITLE = "Learning to Promote Saliency Detectors",
        BOOKTITLE = CVPR18,
        YEAR = "2018",
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@inproceedings{bb8073,
        AUTHOR = "Yan, B. and Wang, H.Q. and Wang, X.Z. and Zhang, Y.B.",
        TITLE = "An accurate saliency prediction method based on generative
adversarial networks",
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@inproceedings{bb8074,
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        TITLE = "Saliency detection by forward and backward cues in deep-CNN",
        BOOKTITLE = ICIP17,
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@inproceedings{bb8075,
        AUTHOR = "Jin, G. and Shen, S. and Zhang, D. and Duan, W. and Zhang, Y.",
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@inproceedings{bb8076,
        AUTHOR = "Zhu, L. and Ling, H. and Wu, J. and Deng, H. and Liu, J.",
        TITLE = "Saliency Pattern Detection by Ranking Structured Trees",
        BOOKTITLE = ICCV17,
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@inproceedings{bb8077,
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@inproceedings{bb8078,
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@inproceedings{bb8079,
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@inproceedings{bb8081,
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@inproceedings{bb8082,
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Deep Neural Networks",
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@inproceedings{bb8084,
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@inproceedings{bb8085,
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