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multi-scale

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MixHop-and-N-GCN

Reference code for the paper "Learning to Correct Overexposed and Underexposed Photos". Our method is a coarse-to-fine deep learning model to correct badly-exposed photographs.

  • Updated May 1, 2020

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

  • Updated May 29, 2020
  • Jupyter Notebook

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