[1] Xu K Y, Shu P, Bao H. Visual tracking combining attention and feature fusion network modulation[J]. Laser & Optoelectronics Progress, 59, 1210013(2022).

[2] Xie G R, Qu Y, Jiang R Q. Tracking algorithms based on antiocclusion object models[J]. Laser & Optoelectronics Progress, 59, 0815001(2022).

[3] Danelljan M, Khan F S, Felsberg M et al. Adaptive color attributes for real-time visual tracking[C], 1090-1097(2014).

[4] Bertinetto L, Valmadre J, Henriques J F et al. Fully-convolutional Siamese networks for object tracking[M]. Hua G, Jégou H. Computer vision-ECCV 2016 workshops, 9914, 850-865(2016).

[5] Girshick R. Fast R-CNN[C], 1440-1448(2015).

[6] Li B, Yan J J, Wu W et al. High performance visual tracking with Siamese region proposal network[C], 8971-8980(2018).

[7] Xu Y D, Wang Z Y, Li Z X et al. SiamFC++: towards robust and accurate visual tracking with target estimation guidelines[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12549-12556(2020).

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

[9] Liu Z D, Dong L Q, Zhao Y J et al. Adaptive model tracking algorithm for fast-moving targets in video[J]. Acta Optica Sinica, 41, 1815001(2021).

[10] 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, 40, 0915003(2020).

[11] Zhang Z Z, Lan C L, Zeng W J et al. Relation-aware global attention for person re-identification[C], 3183-3192(2020).

[12] Li X, Wang W H, Hu X L et al. Generalized focal loss V2: learning reliable localization quality estimation for dense object detection[C], 11627-11636(2021).

[13] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[C], 2999-3007(2017).

[14] Tian Z, Shen C H, Chen H et al. FCOS: fully convolutional one-stage object detection[C], 9626-9635(2019).

[15] Huang L H, Zhao X, Huang K Q. GOT-10k: a large high-diversity benchmark for generic object tracking in the wild[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 1562-1577(2021).

[16] Müller M, Bibi A, Giancola S et al. TrackingNet: a large-scale dataset and benchmark for object tracking in the wild[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018, 11205, 310-327(2018).

[17] Mueller M, Smith N, Ghanem B. A benchmark and simulator for UAV tracking[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016, 9905, 445-461(2016).