Kalray/yolov7

Introduction

This repository stores the model for YOLOv7, compatible with Kalray's neural network API.
Please see www.github.com/kalray/kann-models-zoo for details and proper usage.

Contents

• ONNX: yolov7.optimized.onnx

Lecture note reference

• YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, https://arxiv.org/abs/2207.02696

Repository or links references

• https://github.com/WongKinYiu/yolov7
• config / weights: https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt

BibTeX entry and citation info

@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}
}