Crowd Counting Model with Convolutional Neural Networks and Transformer-Reference-Cited by-同舟云学术

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Crowd Counting Model with Convolutional Neural Networks and Transformer

Published:2022-05-27 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE)
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Author:

Wang Yonghui¹,Li Yang¹,Tu Ke¹

Affiliation:

1. School of Computer Science and Engineering Shenyang Jianzhu University,Shenyang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9850967/9850968/09851103.pdf?arnumber=9851103

Reference14 articles.

1. Cross-view cross-scene multiview crowd counting;zhang;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2021

2. Crowd Counting Method Based on Views-Branch-Shared Convolutional Neural Network;wang;Journal of Chinese Computer Systems,2021

3. Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting

4. Spatial transformer networks;jaderberg;Advances in neural information processing systems,2015

5. PETS2009: Dataset and challenge

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Convolutional Neural Network Approach for Crowd Counting;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20

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