YOLOv4‐dense: A smaller and faster YOLOv4 for real‐time edge‐device based object detection in traffic scene
Author:
Affiliation:
1. High Magnetic Field Laboratory HFIPS Chinese Academy of Sciences Hefei China
2. University of Science and Technology of China Hefei China
3. High Magnetic Field Laboratory of Anhui Province Hefei China
Funder
High Magnetic Field Laboratory, Chinese Academy of Sciences
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12656
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5. Redmon J. Divvala S. Girshick R. et al.:You only look once: Unified real‐time object detection. In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition pp.779–788.IEEE Piscataway(2016)
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