Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy

Created by Aoxue Li*, Tiange Luo*, Zhiwu Lu, Tao Xiang, Liwei Wang

Usage

1. install caffe and matcaffe via https://github.com/BVLC/caffe

2. construct class hierarchy by cr_idx.m

3. obtain train images and their class/superclass labels by cr_train_list.m

4. train feature learning model by f.sh

5. feature extraction by feature_ex.m

6. label inference by the nearest neighbor search by run inference.m

Citation

If you find our work useful in your research, please consider citing:

@inproceedings{li2019large,
      title={Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy},
      author={Li, Aoxue and Luo, Tiange and Lu, Zhiwu and Xiang, Tao and Wang, Liwei},
      booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
      pages={7212--7220},
      year={2019}
}