简介

本仓库存储了 Efficientnet-b4 模型，与 Kalray 的神经网络 API 兼容。</br> 详情及正确使用方法请参阅 www.github.com/kalray/kann-models-zoo。</br> 关于 Efficientnet 模型描述请参阅 https://huggingface.co/docs/transformers/main/en/model_doc/efficientnet。</br>

内容

• ONNX: efficientNet-b4.onnx
• 量化 ONNX (INT8): efficientNet-b4-q.onnx

参考文献

• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks, https://arxiv.org/pdf/1905.11946

仓库或链接参考

• PyTorch | TorchVision

BibTeX 条目和引用信息

@inproceedings{he2016deep,
  title     = {Deep residual learning for image recognition},
  author    = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages     = {770--778},
  year      = {2016}
}

作者：

• qmuller@kalrayinc.com
• nbouberbachene@kalrayinc.com