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Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN.

, , , and . CVPR, page 3618-3626. Computer Vision Foundation / IEEE Computer Society, (2018)

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Almost Unsupervised Learning for Dense Crowd Counting., , , and . AAAI, page 8868-8875. AAAI Press, (2019)Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels., , and . AAAI, page 2162-2170. AAAI Press, (2022)Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN., , , and . CVPR, page 3618-3626. Computer Vision Foundation / IEEE Computer Society, (2018)Completely Self-supervised Crowd Counting via Distribution Matching., , , , , and . ECCV (31), volume 13691 of Lecture Notes in Computer Science, page 186-204. Springer, (2022)Dense or Sparse: Crowd Counting with Binary Supervision., , , and . ICVGIP, page 50:1-50:9. ACM, (2022)Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds., , , and . WACV, page 2853-2861. IEEE, (2020)Top-Down Feedback for Crowd Counting Convolutional Neural Network., and . AAAI, page 7323-7330. AAAI Press, (2018)Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (8): 2739-2751 (2021)Completely Self-Supervised Crowd Counting via Distribution Matching., , , , , and . CoRR, (2020)Switching Convolutional Neural Network for Crowd Counting., , and . CVPR, page 4031-4039. IEEE Computer Society, (2017)