Crowd counting with segmentation attention convolutional neural network

@article{Chen2021CrowdCW,
  title={Crowd counting with segmentation attention convolutional neural network},
  author={Jiwei Chen and Zengfu Wang},
  journal={IET Image Process.},
  year={2021},
  volume={15},
  pages={1221-1231}
}
Deep learning occupies an undisputed dominance in crowd counting. This paper proposes a novel convolutional neural network architecture called SegCrowdNet. Despite the complex background in crowd scenes, the proposed SegCrowdNet still adaptively highlights the human head region and suppresses the non-head region by segmentation. With the guidance of an attention mechanism, the proposed SegCrowdNet pays more attention to the human head region and automatically encodes the highly refined density… 

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