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Depth and edge auxiliary learning for still image crowd density estimation.

, , , , , and . Pattern Anal. Appl., 24 (4): 1777-1792 (2021)

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Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks., , , , and . ICANN (2), volume 11728 of Lecture Notes in Computer Science, page 263-274. Springer, (2019)Feature Reaggregation Network for Crowd Counting., , , , and . ICAIP, page 89-94. ACM, (2020)VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results., , , , , , , , , and 29 other author(s). ICCVW, page 2830-2838. IEEE, (2021)Depth and edge auxiliary learning for still image crowd density estimation., , , , , and . Pattern Anal. Appl., 24 (4): 1777-1792 (2021)CFFNet: Coordinated feature fusion network for crowd counting., , , , and . Image Vis. Comput., (2021)EDENet: Elaborate density estimation network for crowd counting., , , , , and . Neurocomputing, (2021)Multi-level feature fusion network for crowd counting., , , , and . IET Comput. Vis., 15 (1): 60-72 (2021)Semi-supervised Crowd Counting based on Patch Crowds Statistics., , , , and . CACML, page 749-755. IEEE, (2022)Scale-aware and Anti-interference Convolutional Network for Crowd Counting., , , , and . IJCNN, page 1-8. IEEE, (2021)Exploring density rectification and domain adaption method for crowd counting., , , , and . Neural Comput. Appl., 35 (4): 3551-3569 (February 2023)