Before revision:  Our model consists of an attribute-aware modulation network and an attribute-augmented generative network  . Given unseen classes, the modulation network adaptively modulates the generator by applying task-specific transformations so that the generative network can adapt to highly diverse tasks.
After revision:  Our model consists of an attribute-aware modulation network and an attribute-augmented generative network , and an attribute-weighted classifier . Given unseen classes, the modulation network adaptively modulates the generator by applying task-specific transformations so that the generative network can adapt to highly diverse tasks.