简介

本仓库存储了 YOLOv7 模型，与 Kalray 的神经网络 API 兼容。</br> 详情和正确使用方法请参阅 www.github.com/kalray/kann-models-zoo。</br>

内容

• ONNX: yolov7-tiny.optimized.onnx

参考文献

• YOLOv7: 可训练的免费技巧包为实时目标检测器树立了新的最先进水平，https://arxiv.org/abs/2207.02696

仓库或链接参考

• https://github.com/WongKinYiu/yolov7
• 配置 / 权重：https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-tiny.pt

BibTeX 条目和引用信息

@inproceedings{wang2023yolov7,
  title={{YOLOv7}: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors},
  author={Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2023}
}
@article{wang2023designing,
  title={Designing Network Design Strategies Through Gradient Path Analysis},
  author={Wang, Chien-Yao and Liao, Hong-Yuan Mark and Yeh, I-Hau},
  journal={Journal of Information Science and Engineering},
  year={2023}
}