Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0810003(2021)

Yolo-C: One-Stage Network for Prohibited Items Detection Within X-Ray Images

Shouxiang Guo and Liang Zhang*
Author Affiliations
  • Tianjin Key Laboratory of Advanced Signal & Image Processing, Civil Aviation University of China, Tianjin 300300, China
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    References(24)

    [5] Kundegorski M E, Akcay S, Devereux M et al. On using feature descriptors as visual words for object detection within X-ray baggage security screening[C]. //7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016), Madrid, Spain. London: Institution of Engineering and Technology, 1-6(2016).

    [8] Jaccard N, Rogers T W, Morton E J et al. Using deep learning on X-ray images to detect threats[D]. London: University College London(2016).

    [10] Akcay S, Kundegorski M E, Devereux M et al. Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery[C]. //2016 IEEE International Conference on Image Processing (ICIP), September 25-28, 2016, Phoenix, AZ, USA., 1057-1061(2016).

    [12] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. //2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA., 580-587(2014).

    [16] Gaus Y F A, Bhowmik N, Akçay S et al. Evaluation of a dual convolutional neural network architecture for object-wise anomaly detection in cluttered X-ray security imagery[C]. //2019 International Joint Conference on Neural Networks (IJCNN), July 14-19, 2019, Budapest, Hungary., 1-8(2019).

    [17] Miao C J, Xie L X, Wan F et al. SIXray: a large-scale security inspection X-ray benchmark for prohibited item discovery in overlapping images[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA, 2114-2123(2019).

    [18] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 770-778(2016).

    [20] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 936-944(2017).

    [24] Cai Z W, Vasconcelos N. Cascade R-CNN: delving into high quality object detection[C]. //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA, 6154-6162(2018).

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    Shouxiang Guo, Liang Zhang. Yolo-C: One-Stage Network for Prohibited Items Detection Within X-Ray Images[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810003

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    Paper Information

    Category: Image Processing

    Received: Aug. 17, 2020

    Accepted: Sep. 9, 2020

    Published Online: Apr. 12, 2021

    The Author Email: Zhang Liang (l-zhang@cauc.edu.cn)

    DOI:10.3788/LOP202158.0810003

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