Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation

@article{Xu2019CrossDomainIC,
  title={Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation},
  author={Yijie Xu and Arushi Goel},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.05611}
}
In particular, the lack of sufficient amounts of domainspecific data can reduce the accuracy of a classifier. In this paper, we explore the effects of style transfer-based data transformation on the accuracy of a convolutional neural network classifiers in the context of automobile detection under adverse winter weather conditions. The detection of automobiles under highly adverse weather conditions is a difficult task as such conditions present large amounts of noise in each image. The… CONTINUE READING

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