Learning 3D-FilterMap for Deep Convolutional Neural Networks

@article{Yang2018Learning3F,
  title={Learning 3D-FilterMap for Deep Convolutional Neural Networks},
  author={Yingzhen Yang and Jianchao Yang and Ning Xu and Wei Han},
  journal={CoRR},
  year={2018},
  volume={abs/1801.01609}
}
We present a novel and compact architecture for deep Convolutional Neural Networks (CNNs) in this paper, termed 3D-FilterMap Convolutional Neural Networks (3D-FM-CNNs). The convolution layer of 3D-FM-CNN learns a compact representation of the filters, named 3D-FilterMap, instead of a set of independent filters in the conventional convolution layer. The… CONTINUE READING