mousecpn / L2A-OT

This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization

Learning to Generate Novel Domains for Domain Generalization

This is an unofficial PyTorch implementation of Learning to Generate Novel Domains for Domain Generalization (ECCV2020).

[arxiv]

Some of the code is borrowed from https://github.com/HAHA-DL/Episodic-DG and https://github.com/yunjey/stargan.

data

Please download the data from https://drive.google.com/drive/folders/1i23DCs4TJ8LQsmBiMxsxo6qZsbhiX0gw?usp=sharing and use the official train/val split.

Domain-Generalization-via-Image-Stylization
├── data
│   ├── Train val splits and h5py files pre-read

train

python main.py --train True

test

python main.py --train False