Real-time object detection by a multi-feature fully convolutional network

@article{Guo2017RealtimeOD,
  title={Real-time object detection by a multi-feature fully convolutional network},
  author={Y. Guo and Xiaoqiang Guo and Zhuqing Jiang and Aidong Men and Yun Zhou},
  journal={2017 IEEE International Conference on Image Processing (ICIP)},
  year={2017},
  pages={670-674}
}
Prior work on object detection depends on region proposals to guide the search for object instances. Generally, several thousand proposals must be processed, thus hurting the detection efficiency. In this paper, we propose a new model free from region proposals for object detection which treats detection task as a regression problem. To improve small-size object detection and localization, we employ the deep hierarchical features extracted from convolutional neural networks (CNNs). The… Expand

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