Object detection in crowded scenes via joint prediction

Object detection in crowded scenes via joint prediction

Detecting highly-overlapped objects in crowded scenes remains a challenging problem, especially for one-stage detector. In this paper, we extricate YOLOv4 from the dilemma in a crowd by fine-tuning its detection scheme, named YOLO-CS. Specifically, we give YOLOv4 the power to detect multiple objects...

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Bibliographic Details
Main Authors: Hong-hui Xu, Xin-qing Wang, Dong Wang, Bao-guo Duan, Ting Rui
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-03-01
Series:Defence Technology
Subjects:
Machine learning
Object detection
YOLOv4
Crowded scenes
Computer vision
Online Access:http://www.sciencedirect.com/science/article/pii/S2214914721001914

Internet

http://www.sciencedirect.com/science/article/pii/S2214914721001914

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