Python code (using TensorFlow) of Semantic Adversarial Autoencoder (SAAE), including using explicit matching and implicit matching. Also include the implementation of Semantic Autoencoder (SAE, arXiv:1704.08345), and its variation with GAN.
In the code directory, run_*.py are the run script for training and evaluating the four models. To run one of the model, after setting up the environment, type, for example,
python run_aaeexp_AwA_sZSL.py
- Yu-Hsiang Lin - LinkedIn
- Kangyan Zhou
- Shihui Li
- Shihui Li, Yu-Hsiang Lin, Kangyan Zhou, Semantic Adversarial Autoencoder for Zero-Shot Learning.