PDDNet: lightweight congested crowd counting via pyramid depth-wise dilated convolution-Reference-Cited by-同舟云学术

PDDNet: lightweight congested crowd counting via pyramid depth-wise dilated convolution

Published:2022-08-19 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Liang Lanjun^ORCID,Zhao Huailin,Zhou Fangbo,Ma Mingyang,Yao Feng,Ji Xiaojun

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03967-6.pdf

Reference65 articles.

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3. Cheng Z-Q, Li J-X, Dai Q, Wu X, He J-Y, Hauptmann AG (2019) Improving the learning of multi-column convolutional neural network for crowd counting. In: Proceedings of the 27th ACM international conference on multimedia, pp 1897– 1906

4. Hossain M, Hosseinzadeh M, Chanda O, Wang Y (2019) Crowd counting using scale-aware attention networks. In: 2019 IEEE winter conference on applications of computer vision (WACV), pp 1280–1288

5. Zhang L, Shi M, Chen Q (2018) Crowd counting via scale-adaptive convolutional neural network. In: 2018 IEEE winter conference on applications of computer vision (WACV), pp 1113–1121

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