yolov4

Introduction

This repository stores the model for YOLOv4, compatible with Kalray's neural network API. </br> Please see www.github.com/kalray/kann-model-zoo for details and proper usage WIKI. </br>

Contents

• ONNX: yolov4.onnx, yolov4-tiny.onnx

Lecture note reference

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

Repository or links references

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

BibTeX entry and citation info

@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}
}

Author: Quentin Muller qmuller@kalrayinc.com