CMNet: A Connect-and-Merge Convolutional Neural Network for Fast Vehicle Detection in Urban Traffic Surveillance

@article{Zhang2019CMNetAC,
  title={CMNet: A Connect-and-Merge Convolutional Neural Network for Fast Vehicle Detection in Urban Traffic Surveillance},
  author={Fukai Zhang and Feng. Yang and Ce Li and Guan Yuan},
  journal={IEEE Access},
  year={2019},
  volume={7},
  pages={72660-72671}
}
A wide variety of vehicle detection approaches using the deep convolutional neural network (CNN) have achieved great success in recent years. However, the existing CNN-based feature extraction algorithms, especially residual network, cannot obtain powerful semantic information in the vehicle detection task, and thus suffer from the problem of a missing detection, error detection, or repeated detection. In this paper, we present a connect-and-merge convolutional neural network (CMNet) for fast… CONTINUE READING

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