[5] [5] Bertinetto L, Valmadre J, Henriques J F, et al. Fully-convolutional Siamese networks for object tracking[C]//European Conference on Computer Vision, Cham, 2016: 850–865.

[6] [6] Dong X P, Shen J B. Triplet loss in Siamese network for object tracking[C]//Proceedings of the European Conference on Computer Vision (ECCV), Cham, 2018.

[7] [7] Wang Q, Gao J, Xing J L, et al. Dcfnet: Discriminant correlation filters network for visual tracking[Z]. arXiv: 1704.04057v1, 2017.

[8] [8] Li B, Yan J J, Wu W, et al. High performance visual tracking with siamese region proposal network[C]//Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, 2018: 8971–8980.

[9] [9] Russakovsky O, Deng J, Su H, et al. Imagenet large scale visual recognition challenge[J]. Int J Comput Vis, 2015, 115(3): 211–252.

[10] [10] Real E, Shlens J, Mazzocchi S, et al. Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video[C]//Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, 2017: 5296–5305.

[11] [11] Guo Q, Feng W, Zhou C, et al. Learning dynamic Siamese network for visual object tracking[C]//Proceedings of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017: 1763–1771.

[12] [12] Kuai Y L, Wen G J, Li D D. Masked and dynamic Siamese network for robust visual tracking[J]. Inf Sci, 2019, 503: 169–182.

[13] [13] Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Trans Patt Anal Mach Intellig, 2015, 37(9): 1834–1848.

[14] [14] Liang P P, Blasch E, Ling H B. Encoding color information for visual tracking: Algorithms and benchmark[J]. IEEE Trans Image Process, 2015, 24(12): 5630–5644.

[15] [15] Kristan M, Matas J, Leonardis A, et al. The visual object tracking vot2015 challenge results[C]//Proceedings of the 2015 IEEE International Conference on Computer Vision Workshops, Santiago, Chile, 2015: 1–23.

[16] [16] Wang M M, Liu Y, Huang Z Y. Large margin object tracking with circulant feature maps[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, 2017: 4021–4029.

[18] [18] Possegger H, Mauthner T, Bischof H. In defense of color-based model-free tracking[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, USA, 2015: 2113–2120.

[20] [20] Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[C]//NIPS'12: Proceedings of the 25th International Conference on Neural Information Processing Systems, New York, NY, USA, 2012.

[21] [21] Song Y B, Ma C, Gong L J, et al. Crest: Convolutional residual learning for visual tracking[C]//Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017: 2555–2564.

[22] [22] Bertinetto L, Valmadre J, Golodetz S, et al. Staple: Complementary learners for real-time tracking[C]//Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, 2016: 1401–1409.

[23] [23] Wang N, Song Y B, Ma C, et al. Unsupervised deep tracking[C]//Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 2019: 1308–1317.

[24] [24] Danelljan M, H?ger G, Khan F S, et al. Learning spatially regularized correlation filters for visual tracking[C]// Proceedings of the 2015 IEEE International Conference on Computer Vision, Santiago, Chile, 2015: 4310–4318.

[25] [25] Danelljan M, H?ger G, Khan F, et al. Accurate scale estimation for robust visual tracking[C]//British Machine Vision Conference, Nottingham, 2014.

[26] [26] Zhang J M, Ma S G, Sclaroff S. MEEM: robust tracking via multiple experts using entropy minimization[C]//European Conference on Computer Vision, Cham, 2014: 188–203.

[27] [27] Valmadre J, Bertinetto L, Henriques J, et al. End-to-end representation learning for correlation filter based tracking[C]//Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, 2017: 2805–2813.

[28] [28] Galoogahi H K, Fagg A, Lucey S. Learning background-aware correlation filters for visual tracking[C]//Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017: 1135–1143.

[29] [29] Zhang Z P, Peng H W. Deeper and wider Siamese networks for real-time visual tracking[C]//Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, 2019: 4591–4600.

[30] [30] Li B, Wu W, Wang Q, et al. Siamrpn++: Evolution of siamese visual tracking with very deep networks[C]//Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 2019: 4282–4291.

[31] [31] Li X, Ma C, Wu B Y, et al. Target-aware deep tracking[C]//Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, CA, USA, 2019: 1369–1378.