Kernel Similarity Learning and Embedding for DT Synthesis [Project]
- Clone this repo.
git clone https://github.com/shiming-chen/Similariy-DT.git
cd Similarity-DT
Run Similarity_gray('DT_name','save_name')
Run Similarity_RGB('DT_name','save_name')
Run Similarity_RGB_transfer('train_DT_name','test_DT_name','save_name')
We provide the codes for the compared non-neural-network-based methods, i.e., LDS, SLDS, Kernel-DT, FFT-LDS, HOSVD, KPCR.
The project pages of TwoStream, STGCN, and DG are presented as follow:
- TwoStream: https://ryersonvisionlab.github.io/two-stream-projpage/
- STGCN: http://www.stat.ucla.edu/~jxie/STGConvNet/STGConvNet.html
- DG: http://www.stat.ucla.edu/~jxie/DynamicGenerator/DynamicGenerator.html
If you run into any problems with these codes, please submit a bug report on the Github site of the project. For another inquries please contact with me: gchenshiming@gmail.com or shimingchen@hust.edu.cn.