Awesome
Deep_SBIR_tf
Implementation of Sketch Me That Shoe and Deep Spatial-Semantic Attention for Fine-grained Sketch-based Image Retrieval
And if you use the code for your research, please cite our paper:
@inproceedings{yu2016sketch,
title={Sketch me that shoe},
author={Yu, Qian and Liu, Feng and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M and Loy, Chen Change},
booktitle={Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on},
pages={799--807},
year={2016},
organization={IEEE}
}
@article{yu2017sketch,
title={Sketch-a-net: A deep neural network that beats humans},
author={Yu, Qian and Yang, Yongxin and Liu, Feng and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M},
journal={International Journal of Computer Vision},
volume={122},
number={3},
pages={411--425},
year={2017},
publisher={Springer}
}
Note:
(1) Please download the pre-trained model and well-trained models via https://drive.google.com/open?id=19LSQ5fbVVr3bPvE5Xuxd1zeMy1Y9ozC7;
(2) Implementation by Caffe can be found here: https://github.com/seuliufeng/DeepSBIR.