• Corpus ID: 5983986

B-CNN: Branch Convolutional Neural Network for Hierarchical Classification

@article{Zhu2017BCNNBC,
  title={B-CNN: Branch Convolutional Neural Network for Hierarchical Classification},
  author={Xinqi Zhu and Michael Bain},
  journal={ArXiv},
  year={2017},
  volume={abs/1709.09890}
}
Convolutional Neural Network (CNN) image classifiers are traditionally designed to have sequential convolutional layers with a single output layer. [] Key Method A B-CNN model outputs multiple predictions ordered from coarse to fine along the concatenated convolutional layers corresponding to the hierarchical structure of the target classes, which can be regarded as a form of prior knowledge on the output.

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