Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images

@article{Kalliatakis2018ExploringOA,
  title={Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images},
  author={Grigorios Kalliatakis and Shoaib Ehsan and Alex0161 Leonardis and Klaus D. McDonald-Maier},
  journal={CoRR},
  year={2018},
  volume={abs/1805.04714}
}
Identifying potential abuses of human rights through imagery is a novel and challenging task in the field of computer vision, that will enable to expose human rights violations over large-scale data that may otherwise be impossible. While standard databases for object and scene categorisation contain hundreds of different classes, the largest available… CONTINUE READING