Dynamic Deep Multi-modal Fusion for Image Privacy Prediction

@article{Tonge2019DynamicDM,
  title={Dynamic Deep Multi-modal Fusion for Image Privacy Prediction},
  author={Ashwini Tonge and Cornelia Caragea},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.10796}
}
With millions of images that are shared online on social networking sites, effective methods for image privacy prediction are highly needed. In this paper, we propose an approach for fusing object, scene context, and image tags modalities derived from convolutional neural networks for accurately predicting the privacy of images shared online. Specifically, our approach identifies the set of most competent modalities on the fly, according to each new target image whose privacy has to be… CONTINUE READING
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