Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition

@article{Zheng2017LearningMC,
  title={Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition},
  author={Heliang Zheng and Jianlong Fu and Tao Mei and Jiebo Luo},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={5219-5227}
}
Recognizing fine-grained categories (e.g., bird species) highly relies on discriminative part localization and part-based fine-grained feature learning. Existing approaches predominantly solve these challenges independently, while neglecting the fact that part localization (e.g., head of a bird) and fine-grained feature learning (e.g., head shape) are mutually correlated. In this paper, we propose a novel part learning approach by a multi-attention convolutional neural network (MA-CNN), where… CONTINUE READING
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