/Zero-Shot-Learning-Posed-as-a-Missing-Data-Problem

Code of the paper "Zero-Shot Learning Posed as a Missing Data Problem"

Primary LanguageMATLAB

Zero-Shot Learning Posed as a Missing Data Problem

This is the MATLAB code of the method 'MDP' in paper Zero-Shot Learning Posed as a Missing Data Problem. For Python code, please refer to zero_shot_learning_baseline.

Download the Data

You can download all data (image features, attribtues and word vectors of AwA and CUB) used in this paper from google drive. Then, put the data and code in the same fold (root path of the project).

Run the Code

Before running the code, you need to install two toolboxes, namely, Dimensionality Reduction toolbox (drtoolbox.tar.gz) and LeastR toolbox (SLEP_package_4.1.zip). First, download the two toolboxes from google drive. Then, unzip drtoolbox.tar.gz and SLEP_package_4.1.zip. Finally, add the two toolboxes into your Matlab path with subfolders.

For more support, you can visit drtoolbox and LeastR.

Now, you can run ICCVW_EXP_AwA.m and ICCVW_EXP_CUB.m !

Citation

If you use the code or data, please cite our paper:

@inproceedings{zhao2017zero,<br>
   title={Zero-Shot Learning Posed as a Missing Data Problem},<br>
   author={Zhao, Bo and Wu, Botong and Wu, Tianfu and Wang, Yizhou},<br>
   booktitle={Proceedings of the IEEE International Conference on Computer Vision Workshops},<br>
   pages={2616--2622},<br>
   year={2017}<br>
}

Contact

If you have any questions, feel free to contact me.
Email Address: bozhao at pku.edu.cn