Scene-Adaptive Attention Network for Crowd Counting

no code implementations • 31 Dec 2021 • Xing Wei, Yuanrui Kang, Jihao Yang, Yunfeng Qiu, Dahu Shi, Wenming Tan, Yihong Gong

First of all, we design a deformable attention in-built Transformer backbone, which learns adaptive feature representations with deformable sampling locations and dynamic attention weights.

Crowd Counting

Direct Measure Matching for Crowd Counting

no code implementations • 4 Jul 2021 • Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, YaoWei Wang, Yihong Gong

Second, we derive a semi-balanced form of Sinkhorn divergence, based on which a Sinkhorn counting loss is designed for measure matching.

Crowd Counting

Towards a Universal Model for Cross-Dataset Crowd Counting

no code implementations • ICCV 2021 • Zhiheng Ma, Xiaopeng Hong, Xing Wei, Yunfeng Qiu, Yihong Gong

This paper proposes to handle the practical problem of learning a universal model for crowd counting across scenes and datasets.

Crowd Counting