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README.md
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# Contents
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- ONNX: yolov4.
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# Lecture note reference
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# Repository or links references
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- https://github.com/
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BibTeX entry and citation info
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```
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year = {2021},
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pages = {13029-13038}
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}
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```
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# Contents
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- ONNX: yolov4.onnx, yolov4-tiny.onnx
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# Lecture note reference
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# Repository or links references
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- [github: Pytorch YOLOv4](https://github.com/WongKinYiu/PyTorch_YOLOv4): weights: https://github.com/WongKinYiu/PyTorch_YOLOv4/releases/download/weights/yolov4.weights
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- [github: Scaled YOLOv4](https://github.com/WongKinYiu/ScaledYOLOv4/tree/yolov4-tiny): weights: https://github.com/WongKinYiu/ScaledYOLOv4/releases/download/weights/yolov4-tiny.weights
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BibTeX entry and citation info
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```
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year = {2021},
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pages = {13029-13038}
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}
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@inproceedings{wang2020cspnet,
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title={{CSPNet}: A New Backbone That Can Enhance Learning Capability of {CNN}},
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author={Wang, Chien-Yao and Mark Liao, Hong-Yuan and Wu, Yueh-Hua and Chen, Ping-Yang and Hsieh, Jun-Wei and Yeh, I-Hau},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
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pages={390--391},
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year={2020}
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}
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```
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