Scale-aware local difference attention on pyramidal features for crowd counting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15366-1.pdf
Reference42 articles.
1. Chen K, Gong S, Xiang T, et al. (2013) Cumulative attribute space for age and crowd density estimation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2467–2474
2. Chen J, Su W, Wang Z (2020) Crowd counting with crowd attention convolutional neural network. Neurocomputing 382:210–220
3. Ge W, Collins R T (2009) Marked point processes for crowd counting. In: 2009 IEEE Conference on computer vision and pattern recognition. IEEE, pp 2913–2920
4. Hossain M, Hosseinzadeh M, Chanda O, et al. (2019) Crowd counting using scale-aware attention networks. In: 2019 IEEE Winter conference on applications of computer vision (WACV). IEEE, pp 1280–1288
5. Idrees H, Saleemi I, Seibert C, et al. (2013) Multi-source multi-scale counting in extremely dense crowd images. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2547–2554
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