Part-based convolutional neural network for visual recognition

@article{Yang2017PartbasedCN,
  title={Part-based convolutional neural network for visual recognition},
  author={Lingxiao Yang and Xiaohua Xie and Peihua Li and David Zhang and Lei Zhang},
  journal={2017 IEEE International Conference on Image Processing (ICIP)},
  year={2017},
  pages={1772-1776}
}
Mid-level element based representations have been proven to be very effective for visual recognition. We present a method to discover discriminative elements based on deep Convolutional Neural Networks (CNNs), namely Part-based CNN (P-CNN), which acts as the role of encoding module in part-based representation. The P-CNN can be attached at arbitrary layer of a pre-trained CNN and be trained using image-level labels. The training of P-CNN essentially corresponds to the optimization and selection… CONTINUE READING

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