简介

本仓库存储了 Resnext50 模型，与 Kalray 的神经网络 API 兼容。 </br> 请访问 www.github.com/kalray/kann-models-zoo 了解详情和正确用法。 </br> 请访问 https://huggingface.co/docs/transformers/main/en/model_doc/resnet 查看 Resnet 模型说明。 </br>

内容

• ONNX: resnext50.onnx
• 量化 ONNX (INT8): resnext50-q.onnx

论文参考

• Aggregated Residual Transformations for Deep Neural Networks, https://arxiv.org/pdf/1611.05431.pdf

仓库或链接参考

• PyTorch | TorchVision

BibTeX 条目和引用信息

@article{DBLP:journals/corr/XieGDTH16,
  author       = {Saining Xie and
                  Ross B. Girshick and
                  Piotr Doll{\'{a}}r and
                  Zhuowen Tu and
                  Kaiming He},
  title        = {Aggregated Residual Transformations for Deep Neural Networks},
  journal      = {CoRR},
  volume       = {abs/1611.05431},
  year         = {2016},
  url          = {http://arxiv.org/abs/1611.05431},
  eprinttype   = {arXiv},
  eprint       = {1611.05431},
  timestamp    = {Mon, 13 Aug 2018 16:45:58 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/XieGDTH16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

作者:

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