Object counting method based on dual attention network

Author:

Zhang Shihui12ORCID,Li He1,Kong Weihang12

Affiliation:

1. School of Information Science and Engineering, Yanshan UniversityQinhuangdao066004People's Republic of China

2. Key Laboratory for Computer Virtual Technology and System Integration of Hebei ProvinceQinhuangdaoHebei066004People's Republic of China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. 2010 Advances in Neural Information Processing System: Annual Conf. on Neural Information Processing System (NIPS 2010) Vancouver BC Canada V. Lempitsky A. Zisserman Learning to count objects in images 1324 1332

2. 2015 Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Boston USA J. Shao K. Kang C.C. Loy Deeply learned attributes for crowded scene understanding 4657 4666

3. What counts? Visual and verbal cues interact to influence what is considered a countable thing

4. 2008 Proc. IEEE Conf. on Computer Vision Pattern Recognition (CVPR) Hawaii USA A.B. Chan Z.S. Chan J. Liang Privacy preserving crowd monitoring: counting people without people models or tracking 1 7

5. 2015 Iberian Conf. on Pattern Recognition and Image Analysis (IbPRIA) Santiago de Compostela Spain R. Guerrerogómezolmedo B. Torrejiménez R. Lópezsastre Extremely overlapping vehicle counting 423 431

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