Author:
Fotia Lidia,Percannella Gennaro,Saggese Alessia,Vento Mario
Publisher
Springer Nature Switzerland
Reference20 articles.
1. Bengio, Y., Louradour, J., Collobert, R., Weston, J.: Curriculum learning. In: ICML (2009)
2. Chen, J., Wang, Z.: Multi-task semi-supervised crowd counting via global to local self-correction. Pattern Recognit. 109506 (2023)
3. Chen, K., Loy, C.C., Gong, S., Xiang, T.: Feature mining for localised crowd counting. In: BMVC, vol. 1, p. 3 (2012)
4. Ding, X., Lin, Z., He, F., Wang, Y., Huang, Y.: A deeply-recursive convolutional network for crowd counting. In: IEEE ICASSP (2018)
5. Gao, G., Gao, J., Liu, Q., Wang, Q., Wang, Y.: CNN-based density estimation and crowd counting: a survey. arXiv abs/2003.12783 (2020)