2017
A scalable convolutional neural network for task-specified scenarios via knowledge distillation
ICASSP 2017accepted
In this paper, we explore the redundancy in convolutional neural network, which scales with the complexity of vision tasks. Considering that many front-end visual systems are interested in only a limited range of visual targets, the removing of task-specified network redundancy can promote a wide ra…