- Unofficial Pytorch implementation of the paper An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Docker Image
- pytorch/pytorch:1.8.1-cuda11.1-cudnn8-devel
- Using Single GPU
- 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
- An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution [paper] [official code]