Chinese Optics, Volume. 12, Issue 6, 1348(2019)

Region proposal optimization algorithm based on convolutional neural networks

WANG Chun-zhe1,2、*, AN Jun-she1, JIANG Xiu-jie1, and XING Xiao-xue3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(24)

    [2] [2] LI Y D,X X P. Video saliency detection method based on spatiotemporal features of superpixels[J]. Acta Optica Sinica,2019,39(01): 1-8.(in Chinese)

    [3] [3] FATTAL A,KARG M,SCHARFENBERGER C,et al.. Saliency-guided region proposal network for CNN based object detection[C]. IEEE Conference on Intelligent Transportation Systems, Yokohama,Japan.2017: 1-8.

    [4] [4] UIJLINGS J,K VAN DE SANDE,GEVERS T,et al.. Selective search for object recognition[J]. International Journal of Computer Vision,2013,104(2): 154-171.

    [5] [5] ALEXE B,DESELAERS T, FERRARI V. Measuring the objectness of image windows[J]. IEEE Transactions on Software Engineering,2012,34(11): 2189-2202.

    [6] [6] CHENG M M,LIU Y,LIN W Y,et al.. BING: Binarized Normed Gradients for Objectness Estimation at 300fps[C].2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, OH, USA.2014(1): 3286-3293.

    [7] [7] ZITNICK C L,DOLLAR P. Edge boxes: locating object proposals from edges[C]. Proceedings of 13th European Conference on Computer Vision. Zurich,Switzerland,2014,8689: 391-405.

    [8] [8] JIANG S,LIANG S,CHEN C,et al.. Class agnostic image common object detection[J]. EEE Transactions on Image Processing,2019,28(6): 2836-2846.

    [9] [9] HE K M,GEORGIA G,PIOTR D,et al.. Mask R-CNN[C]. 2017 IEEE International Conference on Computer Vision,Venice,Italy. 2017,(1): 2980-2988.

    [10] [10] DING P,ZHANG Y,JIA P,et al.. Ship detection on sea surface based on visual saliency[J]. Acta Electronica Sinica,2018,46(1): 127-134.(in Chinese)

    [12] [12] LIU Y,CHENG M M,HU X W,et al. Richer convolutional features for edge detection[C]. 2017 IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,Hawaii,USA.2017,(1): 5872-5881.

    [13] [13] ISHIKURA K,KURITA N,CHANDLER D M,et al.. Saliency detection based on multiscale extrema of local perceptual color differences[J]. IEEE Transactions on Image Processing,2018,27(2): 703-717.

    [14] [14] KUANG P J,ZHOU Z H,WU D C. Improved edge boxes with object saliency and location awards[J]. IEICT Transactions on Information and Systems,2016,E99D(2): 488-495.

    [15] [15] CARREIRA J, SMINCHISESCU C. CPMC: automatic object segmentation using constrained parametric min-cuts[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(7): 1312-1328.

    [16] [16] KUANG P J. Research on algorithm in object detection based on improved edge boxes[D]. Guangzhou: South China University of Technology,2017.(in Chinese)

    [17] [17] MANEN S,GUILLAUMIN M,VAN GOOL L. Prime object proposals with randomized prim's algorithm[C]. Proceedings of the 2013 IEEE International Conference on Computer Vision. Sydney,NSW,Australia. 2013: 2536-2543.

    [18] [18] RANTALANKILA P, KANNALA J, RAHTU E. Generating object segmentation proposals using global and local search[C]. 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus,OH,USA.2014: 2417-2424.

    [19] [19] PONT-TUSET J,ARBELAEZ P, BARRON J T,et al.. Multiscale combinatorial grouping for image segmentation and object proposal generation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(1): 128-140.

    [20] [20] ENDRES I,HOIEM D. Category-independent object proposals with diverse ranking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,36(2): 222-234.

    [21] [21] PHILIPP KRAHENBUHL,KOLTUN V. Geodesic object proposals[C].2014 European Conference on Computer Vision. Zurich, Switzerland,2014: 725-739.

    [22] [22] HUMAYUN A,LI F,REHG J M. Rigor: recycling inference in graph cuts for generating object regions[C]. 2014 IEEE Conference on Computer Vision and Pattern Recognition,Columbus,OH,USA. 2014: 2417-2424.

    [23] [23] DANELLJAN M,HGER G, KHAN F S,et al.. Convolutional features for correlation filter based visual tracking[C]. IEEE International Conference on Computer Vision Workshop,Santiago,Chile. 2015: 621-629.

    [24] [24] HOSANG J,BENENSON R,DOLLR P,et al.. What makes for effective detection proposals[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,38(4): 814-830.

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    WANG Chun-zhe, AN Jun-she, JIANG Xiu-jie, XING Xiao-xue. Region proposal optimization algorithm based on convolutional neural networks[J]. Chinese Optics, 2019, 12(6): 1348

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    Paper Information

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    Received: May. 28, 2019

    Accepted: --

    Published Online: Jan. 19, 2020

    The Author Email: WANG Chun-zhe (wangchunzhe163@sina.com)

    DOI:10.3788/co.20191206.1348

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