简介

本仓库存储了 YOLOv4 模型，与 Kalray 的神经网络 API 兼容。 </br> 有关详细信息和正确用法，请参阅 www.github.com/kalray/kann-model-zoo WIKI。 </br>

内容

• ONNX: yolov4.onnx, yolov4-tiny.onnx

参考文献

• YOLOv4: Optimal Speed and Accuracy of Object Detection, https://arxiv.org/pdf/2004.10934.pdf

仓库或链接参考

• github: Pytorch YOLOv4: 权重: https://github.com/WongKinYiu/PyTorch_YOLOv4/releases/download/weights/yolov4.weights
• github: Scaled YOLOv4: 权重: https://github.com/WongKinYiu/ScaledYOLOv4/releases/download/weights/yolov4-tiny.weights

BibTeX 条目和引用信息

@misc{bochkovskiy2020yolov4,
      title={YOLOv4: Optimal Speed and Accuracy of Object Detection}, 
      author={Alexey Bochkovskiy and Chien-Yao Wang and Hong-Yuan Mark Liao},
      year={2020},
      eprint={2004.10934},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
@InProceedings{Wang_2021_CVPR,
    author    = {Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},
    title     = {{Scaled-YOLOv4}: Scaling Cross Stage Partial Network},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2021},
    pages     = {13029-13038}
}
@inproceedings{wang2020cspnet,
  title={{CSPNet}: A New Backbone That Can Enhance Learning Capability of {CNN}},
  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},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  pages={390--391},
  year={2020}
}

作者: Quentin Muller qmuller@kalrayinc.com