Siamese single object tracking algorithm with natural language prior

Qianli ZHOU; Rong WANG; Jinze LI; Naiqian TIAN; Wenjin ZHANG

doi:10.1007/s11704-020-0027-8

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Front. Comput. Sci. ›› 2021, Vol. 15 ›› Issue (5) : 155335. DOI: 10.1007/s11704-020-0027-8

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Siamese single object tracking algorithm with natural language prior

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Qianli ZHOU, Rong WANG, Jinze LI, Naiqian TIAN, Wenjin ZHANG. Siamese single object tracking algorithm with natural language prior. Front. Comput. Sci., 2021, 15(5): 155335 https://doi.org/10.1007/s11704-020-0027-8

References

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[1]	Bertinetto L, Valmadre J, Henriques J F, Vedaldi A, Torr P H S. Fullyconvolutional siamese networks for object tracking. In: Proceedings of European Conference on Computer Vision. 2016, 850–865 CrossRef Google scholar

[2]	Wang Q, Zhang L, Bertinetto L, Hu W, Torr P H S. Fast online object tracking and segmentation: a unifying approach. In: Proceedings of the IEEE/CUF Conference on Computer Vision and Pattern Recognition. 2019, 1328–1338 CrossRef Google scholar

[3]	Ren S, He K, Girshick R, Sun J. Faster R-CNN: towards real-time object detection with region proposal networks. In: Proceedings of the 28th International Conference on Neural Information Processing Systems. 2015, 91–99

[4]	Margffoy-tuay E A, Perez J C, Botero E, Arbelaze P. Dynamic multimodal instance segmentation guided by natural language queries. In: Proceedings of European Conference on Computer Vision. 2018, 656–672 CrossRef Google scholar

[5]	Tao L, Yu Z, Sida W, Hui D, Yoav A. Simple recurrent units for highly parallelizable recurrence. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018, 4470–4481

[6]	Lucas B D, Kanade T. An iterative technique of image registration and its application to stereo. In: Proceedings of International Joint Conference on Artificial Intelligence.1981, 674–679

[7]	Wu Y, Lim J W, Yang M H. Object tracking benchmark. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 37(9): 1834–1848 CrossRef Google scholar

[8]	Fan H, Lin L, Yang F, Chu P, Deng G, Yu S. LaSOT: a high-quality benchmark for large-scale single object Tracking. In: Proceedings of the IEEE/CUF Conference on Computer Vision and Pattern Recognition. 2018, 5374–5383 CrossRef Google scholar

[9]	Kazemzadeh S, Ordonez V, Matten M, Berg T. Referitgame: referring to objects in photographs of natural scenes. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing. 2014, 787–798 CrossRef Google scholar

[10]	Licheng Y, Patric P, Shan Y, Alexander B, Tamara B. Modeling context in referring expressions. In: Proceedings of European Conference on Computer Vision. 2016, 69–85 CrossRef Google scholar

[11]	Junhua M, Jonathan H, Alexander T, Oana C, Kevin M. Generation and comprehension of unambiguous object descriptions. In: Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition. 2016, 11–20