Geometric Data Augmentation Based on Feature Map Ensemble

@article{Shibata2021GeometricDA,
  title={Geometric Data Augmentation Based on Feature Map Ensemble},
  author={Takashi Shibata and Masayuki Tanaka and M. Okutomi},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.10524}
}
Deep convolutional networks have become the mainstream in computer vision applications. Although CNNs have been successful in many computer vision tasks, it is not free from drawbacks. The performance of CNN is dramatically degraded by geometric transformation, such as large rotations. In this paper, we propose a novel CNN architecture that can improve the robustness against geometric transformations without modifying the existing backbones of their CNNs. The key is to enclose the existing… Expand

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