/keras_resnext_fpn

Feature Pyramid Network with ResNext implemented in Keras

Primary LanguagePython

Keras Resnext Feature Pyramid Network

Feature Pyramid Network with ResNext backbone implemented in Keras. Use this for semantic segmentation tasks. Probably a good first step to get you up on those Kaggle competitions where everyone is still using regular Resnet FCNs ;)

Check the "Aggregated Residual Transformations for Deep Neural Networks" paper for info on ResNext

@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},
  archivePrefix = {arXiv},
  eprint    = {1611.05431},
  timestamp = {Mon, 13 Aug 2018 16:45:58 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/XieGDTH16},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

and "Feature Pyramid Networks for Object Detection" for info on FPNs:

@article{DBLP:journals/corr/LinDGHHB16,
  author    = {Tsung{-}Yi Lin and
               Piotr Doll{\'{a}}r and
               Ross B. Girshick and
               Kaiming He and
               Bharath Hariharan and
               Serge J. Belongie},
  title     = {Feature Pyramid Networks for Object Detection},
  journal   = {CoRR},
  volume    = {abs/1612.03144},
  year      = {2016},
  url       = {http://arxiv.org/abs/1612.03144},
  archivePrefix = {arXiv},
  eprint    = {1612.03144},
  timestamp = {Mon, 13 Aug 2018 16:48:50 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/LinDGHHB16},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}