Deep convolutional network with locality and sparsity constraints for texture classification

作者：

Highlights：

• We design a new locality-aware coding layer for CNNs.

• Our model can be implemented under an end-to-end learning framework.

• A powerful descriptor is obtained for texture classification.

• Our approach notably outperforms the state-of-the-art methods.

摘要

•We design a new locality-aware coding layer for CNNs.•Our model can be implemented under an end-to-end learning framework.•A powerful descriptor is obtained for texture classification.•Our approach notably outperforms the state-of-the-art methods.

论文关键词：Deep convolutional feature,Sparse coding,Locality-aware,Texture classification

论文评审过程：Received 19 April 2017, Revised 2 November 2018, Accepted 6 February 2019, Available online 16 February 2019, Version of Record 19 February 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.02.003