2018
Coupled End-to-End Transfer Learning With Generalized Fisher Information
CVPR 2018poster
In transfer learning, one seeks to transfer related information from source tasks with sufficient data to help with the learning of target task with only limited data. In this paper, we propose a novel Coupled End-to-end Transfer Learning (CETL) framework, which mainly consists of two convolutional…