Senetcount: an optimized encoder-decoder architecture with squeeze-and-excitation for crowd counting

HIGHLIGHTS

• who: Xiaolong Meng from the Shanghai Institute of Tourism, Shanghai, China School of Tourism, Shanghai Normal University, Shanghai, China have published the Article: SENetCount: An Optimized Encoder-Decoder Architecture with Squeeze-and-Excitation for Crowd Counting, in the Journal: Wireless Communications and Mobile Computing of 20/06/2022
• what: This work proposes an optimized encoder-decoder architecture with the squeeze-and-excitation block for crowd counting called SENetCount which includes SE-ResNetCount and SE-ResNeXtCount. To tackle the difficulty of continuous variation caused by camera perspective, the authors propose the dense atrous spatial pyramid pooling . . .
  

   

  

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