Kalray/resnext50

Introduction

This repository stores the model for Resnext50, compatible with Kalray's neural network API.
Please see www.github.com/kalray/kann-models-zoo for details and proper usage.
Please see https://huggingface.co/docs/transformers/main/en/model_doc/resnet for Resnet model description.

Contents

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

Lecture note reference

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

Repository or links references

• PyTorch | TorchVision

BibTeX entry and citation info

@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}
}

Authors:

• [email protected]
• [email protected]