Leveraging Unlabeled Data for Crowd Counting by Learning to Rank

CVPR 2018 Xialei LiuJoost van de WeijerAndrew D. Bagdanov

We propose a novel crowd counting approach that leverages abundantly available unlabeled crowd imagery in a learning-to-rank framework. To induce a ranking of cropped images , we use the observation that any sub-image of a crowded scene image is guaranteed to contain the same number or fewer persons than the super-image... (read more)

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