Vehicle Detector Based on Improved YOLOv5 Architecture for Traffic Management and Control Systems
Author:
Affiliation:
1. University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10311571/10311610/10311764.pdf?arnumber=10311764
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3. Efficientnet: Rethinking model scaling for convolutional neural networks;tan;CoRR,2019
4. Real-Time Vehicle Detection Based on Improved YOLO v5
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