VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Author:

Du Dawei,Wen Longyin,Zhu Pengfei,Fan Heng,Hu Qinghua,Ling Haibin,Shah Mubarak,Pan Junwen,Al-Ali Ali,Mohamed Amr,Imene Bakour,Dong Bin,Zhang Binyu,Nesma Bouchali Hadia,Xu Chenfeng,Duan Chenzhen,Castiello Ciro,Mencar Corrado,Liang Dingkang,Krüger Florian,Vessio Gennaro,Castellano Giovanna,Wang Jieru,Gao Junyu,Abualsaud Khalid,Ding Laihui,Zhao Lei,Cianciotta Marco,Saqib Muhammad,Almaadeed Noor,Elharrouss Omar,Lyu Pei,Wang Qi,Liu Shidong,Qiu Shuang,Pan Siyang,Al-Maadeed Somaya,Khan Sultan Daud,Khattab Tamer,Han Tao,Golda Thomas,Xu Wei,Bai Xiang,Xu Xiaoqing,Li Xuelong,Zhao Yanyun,Tian Ye,Lin Yingnan,Xu Yongchao,Yao Yuehan,Xu Zhenyu,Zhao Zhijian,Luo Zhipeng,Wei Zhiwei,Zhao Zhiyuan

Publisher

Springer International Publishing

Reference44 articles.

1. Lecture Notes in Computer Science;C Arteta,2016

2. Bahmanyar, R., Vig, E., Reinartz, P.: MRCNet: crowd counting and density map estimation in aerial and ground imagery. CoRR abs/1909.12743 (2019)

3. Cai, Y., Wen, L., Zhang, L., Du, D., Wang, W., Zhu, P.: Rethinking object detection in retail stores. CoRR abs/2003.08230 (2020)

4. Lecture Notes in Computer Science;X Cao,2018

5. Chan, A.B., Liang, Z.J., Vasconcelos, N.: Privacy preserving crowd monitoring: counting people without people models or tracking. In: CVPR (2008)

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