Set2Model Networks: Learning Discriminatively To Learn Generative Models

no code implementations • 22 Dec 2016 • A. Vakhitov, A. Kuzmin, V. Lempitsky

While the meta-learning process for a Set2Model network is discriminative, a trained Set2Model network performs generative learning of generative models in the descriptor space, which facilitates learning in the cases when no negative examples are available, and whenever the concept being learned is polysemous or represented by noisy training sets.

Image Retrieval Meta-Learning +1