Crowd Counting via Cross stage Refinement Networks

Yongtuo Liu
Yongtuo Liu
Qiang Wen
Qiang Wen
Haoxin Chen
Haoxin Chen
Jing Qin
Jing Qin
Guoqiang Han
Guoqiang Han
Shengfeng He
Shengfeng He

IEEE Transactions on Image Processing, 2020.

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Abstract:

Crowd counting is challenging due to unconstrained imaging factors, e.g., background clutters, non-uniform distribution of people, large scale and perspective variations. Dealing with these problems using deep neural networks requires rich prior knowledge and multi-scale contextual representations. In this paper, we propose a Cross-stage ...More

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