Cross-layer features in convolutional neural networks for generic classification tasks

@article{Peng2015CrosslayerFI,
  title={Cross-layer features in convolutional neural networks for generic classification tasks},
  author={Kuan-Chuan Peng and Tsuhan Chen},
  journal={2015 IEEE International Conference on Image Processing (ICIP)},
  year={2015},
  pages={3057-3061}
}
Recent works about convolutional neural networks (CNN) show breakthrough performance on various tasks. However, most of them only use the features extracted from the topmost layer of CNN instead of leveraging the features extracted from different layers. As the first group which explicitly addresses utilizing the features from different layers of CNN, we propose cross-layer CNN features which consist of the features extracted from multiple layers of CNN. Our experimental results show that our… CONTINUE READING
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