MACC Net: Multi-task attention crowd counting network
Author:
Funder
Ministry of Education
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03954-x.pdf
Reference41 articles.
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3. Idrees H, Saleemi I, Seibert C, Shah M (2013) Multi-source multi-scale counting in extremely dense crowd images. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition. https://doi.org/10.1109/CVPR.2013.329, pp 2547–2554
4. Lempitsky V, Zisserman A (2010) Learning to count objects in images. In: Advances in neural information processing systems 23: 24th annual conference on neural information processing systems 2010, NIPS 2010, vol 23
5. Idrees H, Tayyab M, Athrey K, Zhang D, Al-Maadeed S, Rajpoot N, Shah M (2018) Composition loss for counting, density map estimation and localization in dense crowds. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol 11206 LNCS, pp 544–559. https://doi.org/10.1007/978-3-030-01216-8_33
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