HIGHLIGHTS
- who: Jie Cao from the Department of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China have published the article: RetinaMOT: rethinking anchor-free YOLOv5 for online multiple object tracking, in the Journal: (JOURNAL)
- what: The authors show the details of the RetinaYOLO backbone embedding Kalman filtering and the Hungarian algorithm into the network with one framework used to accomplish two tasks. Before embedding the YOLOv5 feature extractor into the tracker, the authors focus on the detailed design for feature extraction. The other modules proposed in this paper (Cross-CPC Attention, DeSFPP) are built . . .
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