Cafa
Code for ``NIPS 2021 universal semi-supervised learning''
Install / Use
/learn @josephioos/CafaREADME
Univsersal Semi-Supervised Learning
This repository is reimplementation of [realistic-ssl-evaluation-pytorch] Here is the original repo: https://github.com/perrying/realistic-ssl-evaluation-pytorch
Requirements
- Python 3.6+
- PyTorch 1.1.0
- torchvision 0.3.0
- numpy 1.16.2
How to run
1)download the visda2017 dataset to the corresponding path: ./data/visda/
2)run the following command python train_cafa.py -a [backbone method] -d [dataset] -tp [dataset settings]
Default backbone method setting is PI. Please check the options by python train.py -h
Performance
visda dataset under subset mismatch using PI with one random run: 0.8805522322654724 visda dataset under intersectional mismatch using PI with one random run: 0.8585433959960938
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