Locally-Transferred Fisher Vectors for Texture Classification

@article{Song2017LocallyTransferredFV,
  title={Locally-Transferred Fisher Vectors for Texture Classification},
  author={Yang Song and Fan Zhang and Qing Li and Heng Huang and Lauren J. O’Donnell and Weidong (Tom) Cai},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={4922-4930}
}
Texture classification has been extensively studied in computer vision. [] Key Method In particular, we design a locally-transferred Fisher vector (LFV) method, which involves a multi-layer neural network model containing locally connected layers to transform the input FV descriptors with filters of locally shared weights. The network is optimized based on the hinge loss of classification, and transferred FV descriptors are then used for image classification. Our results on three challenging texture image…

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