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PP-YOLO: An Effective and Efficient Implementation of Object Detector

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mat kelcey: Baidu at least could have been honest about the intentions of their government & shown a gif of people being tracked at a protest instead of showing a soccer game

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Baidu Research: Introducing PP-YOLO, a new implementation of object detector based on PaddlePaddle. Compared with YOLOv4, PP-YOLO improves mAP on COCO to 45.9% and runs at 72.9 fps on Tesla V100. #ComputerVision #AI Paper: https://arxiv.org/abs/2007.12099 GitHub: https://github.com/PaddlePaddle/PaddleDetection/blob/release/0.4/configs/ppyolo/README.md https://t.co/pQrxx4VQu5

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arXiv CS-CV: PP-YOLO: An Effective and Efficient Implementation of Object Detector http://arxiv.org/abs/2007.12099

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Computer Vision News: Paper: PP-YOLO: An Effective and Efficient Implementation of Object Detector https://arxiv.org/abs/2007.12099

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Found on Aug 18 2020 at https://arxiv.org/pdf/2007.12099.pdf

PDF content of a computer science paper: PP-YOLO: An Effective and Efficient Implementation of Object Detector