This repository contains a PyTorch implementation of the U-Net architecture for semantic segmentation on the Oxford Pets Dataset. The implementation is based on the original paper by Ronneberger et al. [1].
@article{ronneberger2015u,
title={U-net: Convolutional networks for biomedical image segmentation},
author={Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
journal={International Conference on Medical image computing and computer-assisted intervention},
pages={234--241},
year={2015},
publisher={Springer}
}