Attentive Contexts for Object Detection

@article{Li2016AttentiveCF,
  title={Attentive Contexts for Object Detection},
  author={Jianan Li and Yunchao Wei and Xiaodan Liang and Jian Dong and Tingfa Xu and Jiashi Feng and Shuicheng Yan},
  journal={IEEE Transactions on Multimedia},
  year={2016},
  volume={19},
  pages={944-954}
}
  • Jianan Li, Yunchao Wei, +4 authors Shuicheng Yan
  • Published in
    IEEE Transactions on…
    2016
  • Computer Science
  • Modern deep neural network-based object detection methods typically classify candidate proposals using their interior features. However, global and local surrounding contexts that are believed to be valuable for object detection are not fully exploited by existing methods yet. In this work, we take a step towards understanding what is a robust practice to extract and utilize contextual information to facilitate object detection in practice. Specifically, we consider the following two questions… CONTINUE READING

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