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Lifted Disjoint Paths with Application in Multiple Object Tracking
[article]
2020
arXiv
pre-print
Preserved Fulltext
Additionally, we propose efficient cutting plane algorithms for separating the proposed linear inequalities. ...
The lifted disjoint path problem is a natural model for multiple object tracking and allows an elegant mathematical formulation for long range temporal interactions. ...
-T., and Yu, G. mussp:
Efficient min-cost flow algorithm for multi-object track-
ing. In Advances in Neural Information Processing Sys-
tems, pp. 423-432, 2019a. ...
arXiv:2006.14550v1
fatcat:6dhykcsqjrbttia4ga52t6u5cu
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
[article]
2021
arXiv
pre-print
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Object detection and data association are critical components in multi-object tracking (MOT) systems. ...
The key idea is that GNNs can model relations between variable-sized objects in both the spatial and temporal domains, which is essential for learning discriminative features for detection and data association ...
Yu, “muSSP: Efficient [46] A. Milan, S. Roth, and K. Schindler, “Continuous Energy Minimiza-
Min-cost Flow Algorithm for Multi-object Tracking,” NeurIPS, 2019. ...
arXiv:2006.13164v3
fatcat:aqxjugcrsbfarlvu53tpfjcbve
CAST: Character labeling in Animation using Self-supervision by Tracking
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Next, we use self-supervision to refine the representation for any specific animation style by gathering many examples of animated characters in this style, using a multi-object tracking. ...
In this paper we present a method to refine a semantic representation suitable for specific animated content. ...
IEEE, 2008.
[44] Congchao Wang, Yizhi Wang, Yinxue Wang, Chiung-Ting Wu, and Guoqiang Yu. mussp: Efficient min-cost flow
algorithm for multi-object tracking. ...
arXiv:2201.07619v1
fatcat:mkj5iwowevdwnbc44ywahqr3jm