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pruning_filters_for_efficient_convnets's Introduction

Minseong Kim

Interests

  • Image style transfer
  • Object detection

Paper Implementations

  • Image style transfer
    • Image Style Transfer Using Convolutional Neural Networks, CVPR 2016. Code
    • Perceptual Losses for Real-Time Style Transfer and Super-Resolution, ECCV 2016. Code
    • A Learned Representation For Artistic Style, ICLR 2017. Code
    • Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization, ICCV 2017. Code
    • Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration, CVPR 2018. Code
    • Uncorrelated feature encoding for faster image style transfer, Neural Networks 2021. Code
    • Compact Image Style Transfer: Channel Pruning on a Single Training of Network, Sensors 2022. Code
  • Object detection
    • Objects as Points, arXiv 2019. Code
  • Semi-supervised learning
    • FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence, NIPS 2020. Code
    • FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling, NIPS 2021. Code
  • Pruning
    • Pruning Filters for Efficient ConvNets, ICLR 2017. Code
  • ETC
    • Learning Deep Features for Discriminative Localization, CVPR 2016. Code
    • Distilling the Knowledge in a Neural Network, NIPS 2014 Workshop. Code

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pruning_filters_for_efficient_convnets's Issues

RESNET pruning

Here the example script for VGG on CIFAR 10 is given. How to run for Resnet? Any hint?

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