Crowd Counting Via Cross-Stage Refinement Networks

Author:

Liu YongtuoORCID,Wen QiangORCID,Chen Haoxin,Liu WenxiORCID,Qin JingORCID,Han GuoqiangORCID,He ShengfengORCID

Funder

National Natural Science Foundation of China

Hong Kong Polytechnic University

Special Fund of Science and Technology Research and Development on Application from Guangdong Province

Guangzhou Key Industrial Technology Research Fund

Guangdong Natural Science Foundation

CCF-Tencent Open Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 35 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient Crowd Counting via Dual Knowledge Distillation;IEEE Transactions on Image Processing;2024

2. Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting;Communications in Computer and Information Science;2023-11-27

3. DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Convolutional neural network for human crowd analysis: a review;Multimedia Tools and Applications;2023-09-25

5. Dual convolutional neural network for crowd counting;Multimedia Tools and Applications;2023-09-04

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