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Unofficial Pytorch implementation of the paper 'An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution' experiment on Regression Dataset

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CoordConv Implementation with Pytorch

  • Unofficial Pytorch implementation of the paper An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

0. Develop Environment

Docker Image
- pytorch/pytorch:1.8.1-cuda11.1-cudnn8-devel
  • Using Single GPU

1. Implementation Details

  • data : generate regression dataset
  • dataset.py : regression dataset
  • main.py : run train with argparse
  • model.py : regression models used in paper
  • train.py : train, test, inference model
  • Check AddCoord.ipynb : check CoordConv
  • Visualize - Figures (CoordConv).ipynb : visualize 100 figures from CoordConv models per hyperparameter settings
  • Details
    • Official codes are weird cause there are no activation functions on CoordConv model
    • No learning rate scheduler for convenience

2. Reference

  • An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution [paper] [official code]

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Unofficial Pytorch implementation of the paper 'An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution' experiment on Regression Dataset

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