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Pytorch Networks

The Pytorch implementations of famous basic networks. Unscheduled update.

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How to use it

All networks already pass forward test

For backbone networks

Most of backbone networks already have pytorch official version(ResNet.etc), my implementations have a little diffience with them because of my programming habits

For other networks

Some networks don't have offical pytorch version for several reasons(author didn't public the code.etc), my implementations are totally original reproductions

Network list

Backbone(chronological order)

Common Type:

  • AlexNet 2012
  • VGG 2014
  • Inception/GoogLeNet 2014
  • InceptionV2/V3 2015
  • InceptionV4/Res 2016
  • ResNet 2015
  • ResNeXt 2016
  • DenseNet 2016
  • NasNet 2017
  • SeNet 2017
  • EfficientNet 2019

Light Type:

  • ShuffleNet 2017
  • MobileNet 2017

Other:

  • BasicGNN

Pose Estimation(chronological order)

  • OpenPose 2015
  • Hourglass 2015
  • GNNlikeCNN 2015
  • SimpleBaseline 2017
  • CPN 2017
  • OpenPose 2017
  • FPNPoseNet 2017
  • HRNet 2018
  • CPN+GNN 2018
  • Multi-CPN 2019

Segmentation(chronological order)

  • FCN 2015

Detection(chronological order)

  • YOLO
  • RCNN
  • Fast-RCNN
  • Faster-RCNN
  • Mask-RCNN
  • Mask-Score-RCNN

Future Work: Pytorch loss

Will release a new repertory in the future

  • Centerloss 2015
  • Focusloss 2016
  • labelsmooth ...

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