Double multi-scale feature fusion network for crowd counting
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18769-w.pdf
Reference55 articles.
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2. Zhang C, Li H, Wang X, et al (2015) Cross-scene crowd counting via deep convolutional neural networks. In: IEEE/CVF conference on computer vision and pattern recognition, Boston, MA, USA. pp 833–841 https://doi.org/10.1109/CVPR.2015.7298684
3. Zhang Y, Zhou D, Chen S, et al (2016) Single-image crowd counting via multi-column convolutional neural network. In: IEEE/CVF conference on computer vision and pattern recognition, Las Vegas, NV, USA. pp 589–597 https://doi.org/10.1109/cvpr.2016.70
4. Sindagi VA, Patel VM (2017) Generating high-quality crowd density maps using contextual pyramid cnns. In: IEEE/CVF International Conference on Computer Vision, Venice, Italy, pp 1861–1870, https://doi.org/10.1109/iccv.2017.206
5. Liu X, Van De Weijer J, Bagdanov AD (2018) Leveraging unlabeled data for crowd counting by learning to rank. In: IEEE/CVF conference on computer vision and pattern recognition, Salt Lake City, UT, USA. pp 7661–7669. https://doi.org/10.1109/cvpr.2018.00799
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