Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software
Reference37 articles.
1. polylabel-java. https://github.com/nyukhalov/polylabel-java
2. Cao, X., Wang, Z., Zhao, Y., Su, F.: Scale aggregation network for accurate and efficient crowd counting. In: Proceedings of the European conference on computer vision (ECCV), pp. 734–750 (2018)
3. Castellano, G., Castiello, C., Mencar, C., Vessio, G.: Crowd detection for drone safe landing through fully-convolutional neural networks. In: Chatzigeorgiou, A., Dondi, R., Herodotou, H., Kapoutsis, C., Manolopoulos, Y., Papadopoulos, G.A., Sikora, F. (eds.) SOFSEM 2020: Theory and practice of computer science, pp 301–312. Springer International Publishing, Cham (2020)
4. Chan, A.B., Liang, Z.S.J., Vasconcelos, N.: Privacy preserving crowd monitoring: Counting people without people models or tracking. In: 2008 IEEE Conference on computer vision and pattern recognition. https://doi.org/10.1109/cvpr.2008.4587569 (2008)
5. Gao, J., Lin, W., Zhao, B., Wang, D., Gao, C., Wen, J.: C3 framework: An open-source pytorch code for crowd counting. arXiv:2001.06303 (2019)
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