Corpus ID: 234336860

Human-Aided Saliency Maps Improve Generalization of Deep Learning

@article{Boyd2021HumanAidedSM,
  title={Human-Aided Saliency Maps Improve Generalization of Deep Learning},
  author={Aidan Boyd and K. Bowyer and A. Czajka},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.03492}
}
Deep learning has driven remarkable accuracy increases in many computer vision problems. One ongoing challenge is how to achieve the greatest accuracy in cases where training data is limited. A second ongoing challenge is that trained models are sometimes fragile in the sense that the accuracy achieved does not generalize well, even to new data that is subjectively similar to the training set. We address these challenges in a novel way, with the first-ever (to our knowledge) exploration of… Expand

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