Cross-Domain Attention Network for Unsupervised Domain Adaptation Crowd Counting-Reference-Cited by-同舟云学术

Cross-Domain Attention Network for Unsupervised Domain Adaptation Crowd Counting

Author:

Zhang Anran¹^ORCID,Xu Jun²,Luo Xiaoyan³^ORCID,Cao Xianbin¹^ORCID,Zhen Xiantong⁴^ORCID

Affiliation:

1. Key Laboratory of Advanced Technology of Near Space Information System, Beihang University, Beijing, China

2. School of Statistics and Data Science, Nankai University, Tianjin, China

3. School of Astronautics, Beihang University, Beijing, China

4. AIM Laboratory, University of Amsterdam, WX Amsterdam, The Netherlands

Funder

National Key Scientific Instrument and Equipment Development Project

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference77 articles.

2. GaAN: Gated attention networks for learning on large and spatiotemporal graphs;zhang;arXiv 1803 07294,2018

3. Self-attention generative adversarial networks;zhang;arXiv 1805 08318,2018

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