Corpus ID: 202540050

Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations

@article{Tian2019TestingDL,
  title={Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations},
  author={Yongqiang Tian and Shiqing Ma and Ming Wen and Yepang Liu and S. C. Cheung and X. Zhang},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.03824}
}
Deep learning models are widely used for image analysis. While they offer high performance in terms of accuracy, people are concerned about if these models inappropriately make inferences using irrelevant features that are not encoded from the target object in a given image. To address the concern, we propose a metamorphic testing approach that assesses if a given inference is made based on irrelevant features. Specifically, we propose two novel metamorphic relations to detect such… Expand
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