[1] J ZHANG, Y WANG. A survey of siamese networks tracking algorithm integrating detection technology. Infrared and Laser Engineering, 51, 20220042(2022).

[2] J ZHANG, X QIAO, Y ZHAO. Maneuvering object detection and tracking system based on infrared polarization imaging. Infrared and Laser Engineering, 51, 20220233(2022).

[3] X YU, Q YU, Y SHANG et al. Dense structural learning for infrared object tracking at 200+ frames per second. Pattern Recognition Letters, 100, 152-159(2017).

[4] Y HU, M XIAO, S LI et al. Aerial infrared target tracking based on a siamese network and traditional features. Infrared Physics & Technology, 111, 103505(2020).

[5] Q LIU, X LU, Z HE et al. Deep convolutional neural networks for thermal infrared object tracking. Knowledge-Based Systems, 134, 189-198(2017).

[6] X LI, Q LIU, N FAN et al. Hierarchical spatial-aware siamese network for thermal infrared object tracking. Knowledge-Based Systems, 166, 71-81(2019).

[7] [7] SUN J, ZHANG L, ZHA Y, et al. Unsupervised crossmodal distillation f thermal infrared tracking[C]Proceedings of the 29th ACM International Conference on Multimedia, 2021: 22622270.

[8] C YANG, Q LIU, G LI et al. Learning diverse fine-grained features for thermal infrared tracking. Expert Systems with Applications, 238, 121577(2024).

[9] Q LIU, Z HE, X LI et al. PTB-TIR: A thermal infrared pedestrian tracking benchmark. IEEE Transactions on Multimedia, 22, 666-675(2019).

[10] [10] LIU Q, LI X, HE Z, et al. LSOTBTIR: A largescale highdiversity thermal infrared object tracking benchmark[C]Proceedings of the 28th ACM International Conference on Multimedia, 2020: 38473856.

[11] Q LIU, X LI, D YUAN et al. LSOTB-TIR: A large-scale high-diversity thermal infrared single object tracking benchmark. IEEE Transactions on Neural Networks and Learning Systems, 99, 1-14(2023).

[12] [12] FAN H, LIN L, YANG F, et al. Lasot: A highquality benchmark f largescale single object tracking[C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition, 2019: 53745383.

[13] L HUANG, X ZHAO, K HUANG. Got-10k: A large high-diversity benchmark for generic object tracking in the wild. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 1562-1577(2019).

[14] [14] MULLER M, BIBI A, GIANCOLA S, et al. Tracking: A largescale dataset benchmark f object tracking in the wild[C]Proceedings of the European Conference on Computer Vision (ECCV), 2018: 300317.

[15] [15] YE B, CHANG H, MA B, et al. Joint feature learning relation modeling f tracking: A onestream framewk[C]European Conference on Computer Vision. Cham: Springer Nature Switzerl, 2022: 341357.

[16] [16] AGHAJANYAN A, GUPTA S, ZETTLEMOYER L. Intrinsic dimensionality explains the effectiveness of language model finetuning [C]Proceedings of the 59th Annual Meeting of the Association f Computational Linguistics the 11th International Joint Conference on Natural Language Processing, 2021, 1: 73197328.

[17] [17] GUO D, WANG J, CUI Y, et al. SiamCAR: Siamese fully convolutional classification regression f visual tracking[C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition, 2020: 62696277.

[18] [18] DANELLJAN M, GOOL L V, TIMOFTE R. Probabilistic regression f visual tracking[C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition, 2020: 71837192.

[19] [19] BHAT G, DANELLJAN M, VAN G L, et al. Know your surroundings: Exploiting scene infmation f object tracking[C]Computer Vision ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIII 16. Springer International Publishing, 2020: 205221.

[20] [20] BHAT G, DANELLJAN M, GOOL L V, et al. Learning discriminative model prediction f tracking [C]Proceedings of the IEEECVF International Conference on Computer Vision, 2019: 6182 6191.

[21] [21] YAN B, PENG H, FU J, et al. Learning spatiotempal transfmer f visual tracking[C]Proceedings of the IEEECVF International Conference on Computer Vision, 2021: 1044810457.

[22] [22] CHEN X, YAN B, ZHU J, et al. Transfmer tracking[C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition, 2021: 81268135.

[23] [23] WANG N, ZHOU W, WANG J, et al. Transfmer meets tracker: Exploiting tempal context f robust visual tracking[C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition, 2021: 15711580.

[24] [24] SONG Y, MA C, WU X, et al. Vital: Visual tracking via adversarial learning[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2018: 89908999.

[25] [25] NAM H, HAN B. Learning multidomain convolutional neural wks f visual tracking[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2016: 42934302.

[26] L ZHANG, A GONZALEZ-GARCIA, DEWEIJER J VAN et al. Synthetic data generation for end-to- end thermal infrared tracking. IEEE Transactions on Image Processing, 28, 1837-1850(2018).

[27] [27] LI F, TIAN C, ZUO W, et al. Learning spatialtempal regularized crelation filters f visual tracking[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2018: 49044913.