[1] Henriques J F, Caseiro R, Martins P, et al. Exploiting the circulant structure of tracking-by-detection with kernels[J]. Computer Vision-ECCV, 2012, 2012: 702-715.

[2] Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583-596.

[3] MaC, Huang JB, Yang XK, et al.Hierarchical convolutional features for visual tracking[C]//2015 IEEE International Conference on Computer Vision (ICCV). December 7-13, 2015, Santiago, Chile.New York: IEEE Press, 2015: 3074- 3082.

[4] NamH, HanB. Learning multi-domain convolutional neural networks for visual tracking[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June 27-30, 2016, Las Vegas, NV, USA.New York: IEEE Press, 2016: 4293- 4302.

[5] Danelljan M, Robinson A, Shahbaz Khan F, et al. Beyond correlation filters: learning continuous convolution operators for visual tracking[J]. Computer Vision-ECCV, 2016, 2016: 472-488.

[6] DanelljanM, BhatG, Khan FS, et al.ECO: efficient convolution operators for tracking[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). July 21-26, 2017, Honolulu, HI, USA. New York: IEEE Press, 2017: 6931- 6939.

[7] TaoR, GavvesE, Smeulders A W M. Siamese instance search for tracking[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June 27-30, 2016, Las Vegas, NV, USA.New York: IEEE Press, 2016: 1420- 1429.

[8] BertinettoL, ValmadreJ, Henriques JF, et al.Fully-convolutional Siamese networks for object tracking[M] //Lecture Notes in Computer Science. Cham: Springer International Publishing, 2016: 850- 865.

[9] ValmadreJ, BertinettoL, HenriquesJ, et al.End-to-end representation learning for correlation filter based tracking[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). July 21-26, 2017, Honolulu, HI, USA.New York: IEEE Press, 2017: 5000- 5008.

[10] LiB, Yan JJ, WuW, et al. High performance visual tracking with Siamese region proposal network[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), Salt Lake City, USA, 2018: 8971- 8980.

[11] 仇祝令, 查宇飞, 朱鹏, 等. 基于孪生神经网络在线判别特征的视觉跟踪算法[J]. 光学学报, 2019, 39(9): 0915003.

    Qiu Z L, Zha Y F, Zhu P, et al. Visual tracking algorithm based on online feature discrimination with siamese network[J]. Acta Optica Sinica, 2019, 39(9): 0915003.

[12] 陈志旺, 张忠新, 宋娟, 等. 基于目标感知特征筛选的孪生网络跟踪算法[J]. 光学学报, 2020, 40(9): 0915003.

    Chen Z W, Zhang Z X, Song J, et al. Tracking algorithm for siamese network based on target-aware feature selection[J]. Acta Optica Sinica, 2020, 40(9): 0915003.

[13] SandlerM, HowardA, Zhu ML, et al. and linearbottlenecks[EB/OL].( 2019-03-21)[2020-05-13]. org/abs/1801. 04381. https://arxiv.

[14] Howard AG, Zhu ML, ChenB, et al.( 2017-04-17)[2020-05-13]. org/abs/1704. 04861. https://arxiv.

[15] Selvaraju R R, Cogswell M, Das A, et al. Grad-CAM: visual explanations from deep networks via gradient-based localization[J]. International Journal of Computer Vision, 2020, 128(2): 336-359.

[16] WooS, ParkJ, Lee JY, et al. CBAM: convolutional block attention module[C]//European Conference on Computer Vision, 2018: 3- 19.

[17] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 2017, 60(6): 84-90.

[18] RealE, ShlensJ, MazzocchiS, et al.YouTube-BoundingBoxes: a large high-precision human-annotated data set for object detection in video[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). July 21-26, 2017, Honolulu, HI, USA. New York: IEEE Press, 2017: 7464- 7473.

[19] Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848.

[20] DanelljanM, HägerG, Khan FS, et al.Learning spatially regularized correlation filters for visual tracking[C]//2015 IEEE International Conference on Computer Vision (ICCV). December 7-13, 2015, Santiago, Chile.New York: IEEE Press, 2015: 4310- 4318.

[21] JiaX, Lu HC, Yang MH. Visual tracking via adaptive structural local sparse appearance model[C]//2012 IEEE Conference on Computer Vision and Pattern Recognition. June 16-21, 2012, Providence, RI, USA.New York: IEEE Press, 2012: 1822- 1829.

[22] Li Y, Zhu J K. A scale adaptive kernel correlation filter tracker with feature integration[J]. Computer Vision-ECCV 2014 Workshops, 2015: 254-265.

[23] DanelljanM, HägerG, Shahbaz KhanF, et al. Accurate scale estimation for robust visual tracking[C]//Proceedings of the British Machine Vision Conference 2014. Nottingham. British Machine Vision Association, 2014: 1- 11.

[24] MuellerM, SmithN, GhanemB. A benchmark and simulator for UAV tracking[M] //Computer Vision-ECCV 2016. Cham: Springer International Publishing, 2016: 445- 461.