Object-Centric Multiple Object Tracking

Unsupervised object-centric learning methods allow the partitioning of scenes into entities without additional localization information and are excellent candidates for reducing the annotation burden of multiple-object tracking (MOT) pipelines. Unfortunately, they lack two key properties: objects ar...

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Bibliographische Detailangaben

Hauptverfasser:	Zhao, Zixu, Wang, Jiaze, Horn, Max, Ding, Yizhuo, He, Tong, Bai, Zechen, Zietlow, Dominik, Simon-Gabriel, Carl-Johann, Shuai, Bing, Tu, Zhuowen, Brox, Thomas, Schiele, Bernt, Fu, Yanwei, Locatello, Francesco, Zhang, Zheng, Xiao, Tianjun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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