Abstract: Generative adversarial networks (GANs) for (generalized) zero-shot learning (ZSL) aim to generate unseen image features when conditioned on unseen class embeddings, each of which corresponds ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback