The application of two-level attention models in deep convolutional neural network for fine-grained image classification

@article{Xiao2014TheAO,
  title={The application of two-level attention models in deep convolutional neural network for fine-grained image classification},
  author={Tianjun Xiao and Yichong Xu and Kuiyuan Yang and Jiaxing Zhang and Yuxin Peng and Zheng Zhang},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2014},
  pages={842-850}
}
Fine-grained classification is challenging because categories can only be discriminated by subtle and local differences. Variances in the pose, scale or rotation usually make the problem more difficult. Most fine-grained classification systems follow the pipeline of finding foreground object or object parts (where) to extract discriminative features (what). In this paper, we propose to apply visual attention to fine-grained classification task using deep neural network. Our pipeline integrates… CONTINUE READING

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