Alleviating Feature Confusion for Generative Zero-shot Learning, ACM Multimedia 2019

Source code for AFC-GAN published in ACM MM 2019. The paper can be found at https://arxiv.org/abs/1909.07615

This project handles the feature confusion issue in zero-shot learning and generalized zero-shot learning, especially these methods based on generative models. The main contributions are:

1. For the first time, we explicitely point out the feature confusion issue.
2. We propse an effective way to handle the issue.
3. We prose a metric to quantify the feature confusion.

The code is based on pytorch, you can run demo.sh and have fun with ZSL!

If you find the project is helpful, please cite the following work:

@inproceedings{li2019zsl,
title={Alleviating Feature Confusion for Generative Zero-shot Learning},
author={Li, Jingjing and Jing, Mengmeng and Lu, Ke and Zhu, Lei and and Yang, Yang and Huang, Zi},
booktitle={ACM MM},
year={2019},
organization={ACM}
}