Unsupervised Deep Features for Privacy Image Classification

@inproceedings{Sitaula2019UnsupervisedDF,
  title={Unsupervised Deep Features for Privacy Image Classification},
  author={Chiranjibi Sitaula and Yong Xiang and Sunil Aryal and Xuequan Lu},
  booktitle={PSIVT},
  year={2019}
}
  • Chiranjibi Sitaula, Yong Xiang, +1 author Xuequan Lu
  • Published in PSIVT 2019
  • Computer Science
  • Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information. Deep features have been demonstrated to be a powerful representation for images. However, deep features usually suffer from the issues of a large size and requiring a huge amount of data for fine-tuning. In contrast to normal images (e.g., scene images), privacy images are often limited because of sensitive information. In this paper, we propose a novel approach that can work on… CONTINUE READING

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    VIEW 5 EXCERPTS
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