Efficient Parametrization of Multi-domain Deep Neural Networks
Efficient Parametrization of Multi-domain Deep Neural Networks
A practical limitation of deep neural networks is their high degree of specialization to a single task and visual domain. Recently, inspired by the successes of transfer learning, several authors have proposed to learn instead universal feature extractors that, used as the first stage of any deep network, work well …