Improving object detection with region similarity learning

@article{Gao2017ImprovingOD,
  title={Improving object detection with region similarity learning},
  author={Feng Gao and Yihang Lou and Yan Bai and Shiqi Wang and Tiejun Huang and Ling-yu Duan},
  journal={2017 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2017},
  pages={1488-1493}
}
  • F. GaoYihang Lou Ling-yu Duan
  • Published 1 March 2017
  • Computer Science
  • 2017 IEEE International Conference on Multimedia and Expo (ICME)
Object detection aims to identify instances of semantic objects of a certain class in images or videos. The success of state-of-the-art approaches is attributed to the significant progress of object proposal and convolutional neural networks (CNNs). Most promising detectors involve multi-task learning with an optimization objective of softmax loss and regression loss. The first is for multi-class categorization, while the latter is for improving localization accuracy. However, few of them… 

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