论文《Body Structure Aware Deep Crowd Counting》 IEEE TRANSACTIONS ON IMAGE PROCESSING 创新点:从语义场景分析作为出发点,进行人群计数;包含三个关键因素:行人,头部和他们地上下文结构(context structure);行人的语义结构可以提供更丰富的信息用于行人识别; 解决问题:现存的方法,大多是直接模拟行人的整个身体... ...
Achieving accurate crowd counting still faces many challenges due to continuous scale variations. To this end, we present an innovative Context-Aware Pyramid Attention Network for crowd counting which is realized by extracting rich contextual features and dealing with dependencies on space and channels....
This paper investigates the role of global context for crowd counting. Specifically, a pure transformer is used to extract features with global information from overlapping image patches. Inspired by classification, we add a context token to the input sequence, to facilitate information exchange with ...
Achieving accurate crowd counting still faces many challenges due to continuous scale variations. To this end, we present an innovative Context-Aware Pyram
Extensive experiments on three challenging crowd counting datasets (ShanghaiTech, UCF-QNRF, and NWPU) demonstrate that our model is effective and competitive when compared against SOTA crowd counting models. 展开 关键词: crowd counting DETR transformer ...
Crowd counting in the frequency domain. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, USA, 18–24 June 2022; pp. 19618–19627. [Google Scholar] Liu, W.; Salzmann, M.; Fua, P. Context-aware crowd counting. In Proceedings of the...