Russian Alexey Bochkovskiy, the maintainer of YOLO Darknet, found that the CSPNet detector developed by Wang Jianyao, the post-doc of the Chinese Academy of Sciences and director Liao Hongyuan, was fast and good, so he invited the Chinese Academy of Sciences to develop YOLOv4 for the backbone, and did various parts of the previous generation of YOLOv3. The improvement can not only maintain a certain detection speed, but also greatly improve the detection accuracy and reduce the usage of hardware.
Document Download:
https://d.leaderg.com/pdf/Image-Object-Detection-YOLOv4-CPP-Jupyter.pdf
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