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Exploring robust and efficient association methods has always been an important issue in multiple-object tracking (MOT).
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Y. Zhang, T. Wang, and X. Zhang, “Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors,” Computer Vision and Pattern Recognition CVPR , 2023
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2023
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O. Cetintas, G. Bras’o, and L. Leal-Taix’e, “Unifying short and long-term tracking with graph hierarchies,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2023, pp. 22 877–22 887
2023
Closest in time.
Z. Qin, S. Zhou, L. Wang, J. Duan, G. Hua, and W. Tang, “Motiontrack: Learning robust short-term and long-term motions for multi-object tracking,” Computer Vision and Pattern Recognition (CVPR) , 2023
2023
Closest in time.
K. G. Quach, H. Le, P. Nguyen, C. N. Duong, T. D. Bui, and K. Luu, “Depth perspective-aware multiple object tracking,” 2023
2023
Closest in time.