Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network

@article{Zou2021CoarseTF,
  title={Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network},
  author={Zhikang Zou and Xiaoye Qu and Pan Zhou and Shuangjie Xu and Xiaoqing Ye and Wenhao Wu and Jin Ye},
  journal={Proceedings of the 29th ACM International Conference on Multimedia},
  year={2021}
}
  • Zhikang Zou, Xiaoye Qu, +4 authors Jin Ye
  • Published 2021
  • Computer Science
  • Proceedings of the 29th ACM International Conference on Multimedia
Recent deep networks have convincingly demonstrated high capability in crowd counting, which is a critical task attracting widespread attention due to its various industrial applications. Despite such progress, trained data-dependent models usually can not generalize well to unseen scenarios because of the inherent domain shift. To facilitate this issue, this paper proposes a novel adversarial scoring network (ASNet) to gradually bridge the gap across domains from coarse to fine granularity. In… Expand

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