VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results

Dawei Du; Longyin Wen; Pengfei Zhu; Heng Fan; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Apostolos Axenopoulos; Arne Schumann; Athanasios Psaltis; Ayush Jain; Bin Dong; Changlin Li; Chen Chen; Chengzhen Duan; Chongyang Zhang; Daniel Stadler; Dheeraj Reddy Pailla; Dong Yin; Faizan Khan; Fanman Meng; Guangyu Gao; Guosheng Zhang; Hansheng Chen; Hao Zhou; Haonian Xie; Heqian Qiu; Hongliang Li; Ioannis Athanasiadis; Jincai Cui; Jingkai Zhou; Jonghwan Ko; Joochan Lee; Jun Yu; Jungyeop Yoo; Lars Wilko Sommer; Lu Xiong; Michael Schleiss; Ming Hsuan Yang; Mingyu Liu; Minjian Zhang; Murari Mandal; Petros Daras; Pratik Narang; Qiong Liu; Qiu Shi; Qizhang Lin; Rohit Ramaprasad; Sai Wang; Sarvesh Mehta; Shuai Li; Shuqin Huang; Sungtae Moon; Taijin Zhao; Ting Sun; Wei Guo; Wei Tian; Weida Qin; Weiping Yu; Wenxiang Lin; Xi Zhao; Xiaogang Jia; Xin He; Xingjie Zhao; Xuanxin Liu; Yan Ding; Yan Luo; Yang Xiao; Yi Wang; Yingjie Liu; Yongwoo Kim; Yu Sun; Yuehan Yao; Yuyao Huang; Zehui Gong; Zhenyu Xu; Zhipeng Luo; Zhiguo Cao; Zhiwei Wei; Zhongjie Fan; Zichen Song; Ziming Liu

doi:10.1007/978-3-030-66823-5_42

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong YinFaizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jonghwan Ko, Joochan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 challenges, many submitted object detectors exceed the recent state-of-the-art detectors. Based on the selected 29 robust detection methods, we discuss the experimental results comprehensively, which shows the effectiveness of ensemble learning and data augmentation in drone captured object detection. The full challenge results are publicly available at the website http://aiskyeye.com/leaderboard/.

Original language	English
Title of host publication	Computer Vision – ECCV 2020 Workshops, Proceedings
Editors	Adrien Bartoli, Andrea Fusiello
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	692-712
Number of pages	21
ISBN (Print)	9783030668228
DOIs	https://doi.org/10.1007/978-3-030-66823-5_42
Publication status	Published - 2020
Event	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 - Glasgow, United Kingdom Duration: 2020 Aug 23 → 2020 Aug 28

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12538 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020
Country/Territory	United Kingdom
City	Glasgow
Period	20/8/23 → 20/8/28

Bibliographical note

Funding Information:
Acknowledgements. This work was supported in part by the National Natural Science Foundation of China under Grant 61876127 and Grant 61732011, in part by Natural Science Foundation of Tianjin under Grant 17JCZDJC30800.

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-66823-5_42

Cite this

Du, D., Wen, L., Zhu, P., Fan, H., Hu, Q., Ling, H., Shah, M., Pan, J., Axenopoulos, A., Schumann, A., Psaltis, A., Jain, A., Dong, B., Li, C., Chen, C., Duan, C., Zhang, C., Stadler, D., Pailla, D. R., ... Liu, Z. (2020). VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. In A. Bartoli, & A. Fusiello (Eds.), Computer Vision – ECCV 2020 Workshops, Proceedings (pp. 692-712). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12538 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-66823-5_42

Du, Dawei ; Wen, Longyin ; Zhu, Pengfei et al. / VisDrone-DET2020 : The Vision Meets Drone Object Detection in Image Challenge Results. Computer Vision – ECCV 2020 Workshops, Proceedings. editor / Adrien Bartoli ; Andrea Fusiello. Springer Science and Business Media Deutschland GmbH, 2020. pp. 692-712 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{183ce668fb9e45fcbe6a30ac31c6d568,

title = "VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results",

abstract = "The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 challenges, many submitted object detectors exceed the recent state-of-the-art detectors. Based on the selected 29 robust detection methods, we discuss the experimental results comprehensively, which shows the effectiveness of ensemble learning and data augmentation in drone captured object detection. The full challenge results are publicly available at the website http://aiskyeye.com/leaderboard/.",

author = "Dawei Du and Longyin Wen and Pengfei Zhu and Heng Fan and Qinghua Hu and Haibin Ling and Mubarak Shah and Junwen Pan and Apostolos Axenopoulos and Arne Schumann and Athanasios Psaltis and Ayush Jain and Bin Dong and Changlin Li and Chen Chen and Chengzhen Duan and Chongyang Zhang and Daniel Stadler and Pailla, {Dheeraj Reddy} and Dong Yin and Faizan Khan and Fanman Meng and Guangyu Gao and Guosheng Zhang and Hansheng Chen and Hao Zhou and Haonian Xie and Heqian Qiu and Hongliang Li and Ioannis Athanasiadis and Jincai Cui and Jingkai Zhou and Jonghwan Ko and Joochan Lee and Jun Yu and Jungyeop Yoo and Sommer, {Lars Wilko} and Lu Xiong and Michael Schleiss and Yang, {Ming Hsuan} and Mingyu Liu and Minjian Zhang and Murari Mandal and Petros Daras and Pratik Narang and Qiong Liu and Qiu Shi and Qizhang Lin and Rohit Ramaprasad and Sai Wang and Sarvesh Mehta and Shuai Li and Shuqin Huang and Sungtae Moon and Taijin Zhao and Ting Sun and Wei Guo and Wei Tian and Weida Qin and Weiping Yu and Wenxiang Lin and Xi Zhao and Xiaogang Jia and Xin He and Xingjie Zhao and Xuanxin Liu and Yan Ding and Yan Luo and Yang Xiao and Yi Wang and Yingjie Liu and Yongwoo Kim and Yu Sun and Yuehan Yao and Yuyao Huang and Zehui Gong and Zhenyu Xu and Zhipeng Luo and Zhiguo Cao and Zhiwei Wei and Zhongjie Fan and Zichen Song and Ziming Liu",

note = "Funding Information: Acknowledgements. This work was supported in part by the National Natural Science Foundation of China under Grant 61876127 and Grant 61732011, in part by Natural Science Foundation of Tianjin under Grant 17JCZDJC30800. Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 ; Conference date: 23-08-2020 Through 28-08-2020",

year = "2020",

doi = "10.1007/978-3-030-66823-5_42",

language = "English",

isbn = "9783030668228",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "692--712",

editor = "Adrien Bartoli and Andrea Fusiello",

booktitle = "Computer Vision – ECCV 2020 Workshops, Proceedings",

address = "Germany",

}

Du, D, Wen, L, Zhu, P, Fan, H, Hu, Q, Ling, H, Shah, M, Pan, J, Axenopoulos, A, Schumann, A, Psaltis, A, Jain, A, Dong, B, Li, C, Chen, C, Duan, C, Zhang, C, Stadler, D, Pailla, DR, Yin, D, Khan, F, Meng, F, Gao, G, Zhang, G, Chen, H, Zhou, H, Xie, H, Qiu, H, Li, H, Athanasiadis, I, Cui, J, Zhou, J, Ko, J, Lee, J, Yu, J, Yoo, J, Sommer, LW, Xiong, L, Schleiss, M, Yang, MH, Liu, M, Zhang, M, Mandal, M, Daras, P, Narang, P, Liu, Q, Shi, Q, Lin, Q, Ramaprasad, R, Wang, S, Mehta, S, Li, S, Huang, S, Moon, S, Zhao, T, Sun, T, Guo, W, Tian, W, Qin, W, Yu, W, Lin, W, Zhao, X, Jia, X, He, X, Zhao, X, Liu, X, Ding, Y, Luo, Y, Xiao, Y, Wang, Y, Liu, Y, Kim, Y, Sun, Y, Yao, Y, Huang, Y, Gong, Z, Xu, Z, Luo, Z, Cao, Z, Wei, Z, Fan, Z, Song, Z & Liu, Z 2020, VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. in A Bartoli & A Fusiello (eds), Computer Vision – ECCV 2020 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12538 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 692-712, Workshops held at the 16th European Conference on Computer Vision, ECCV 2020, Glasgow, United Kingdom, 20/8/23. https://doi.org/10.1007/978-3-030-66823-5_42

VisDrone-DET2020 : The Vision Meets Drone Object Detection in Image Challenge Results. / Du, Dawei; Wen, Longyin; Zhu, Pengfei et al.

Computer Vision – ECCV 2020 Workshops, Proceedings. ed. / Adrien Bartoli; Andrea Fusiello. Springer Science and Business Media Deutschland GmbH, 2020. p. 692-712 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12538 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - VisDrone-DET2020

T2 - Workshops held at the 16th European Conference on Computer Vision, ECCV 2020

AU - Du, Dawei

AU - Wen, Longyin

AU - Zhu, Pengfei

AU - Fan, Heng

AU - Hu, Qinghua

AU - Ling, Haibin

AU - Shah, Mubarak

AU - Pan, Junwen

AU - Axenopoulos, Apostolos

AU - Schumann, Arne

AU - Psaltis, Athanasios

AU - Jain, Ayush

AU - Dong, Bin

AU - Li, Changlin

AU - Chen, Chen

AU - Duan, Chengzhen

AU - Zhang, Chongyang

AU - Stadler, Daniel

AU - Pailla, Dheeraj Reddy

AU - Yin, Dong

AU - Khan, Faizan

AU - Meng, Fanman

AU - Gao, Guangyu

AU - Zhang, Guosheng

AU - Chen, Hansheng

AU - Zhou, Hao

AU - Xie, Haonian

AU - Qiu, Heqian

AU - Li, Hongliang

AU - Athanasiadis, Ioannis

AU - Cui, Jincai

AU - Zhou, Jingkai

AU - Ko, Jonghwan

AU - Lee, Joochan

AU - Yu, Jun

AU - Yoo, Jungyeop

AU - Sommer, Lars Wilko

AU - Xiong, Lu

AU - Schleiss, Michael

AU - Yang, Ming Hsuan

AU - Liu, Mingyu

AU - Zhang, Minjian

AU - Mandal, Murari

AU - Daras, Petros

AU - Narang, Pratik

AU - Liu, Qiong

AU - Shi, Qiu

AU - Lin, Qizhang

AU - Ramaprasad, Rohit

AU - Wang, Sai

AU - Mehta, Sarvesh

AU - Li, Shuai

AU - Huang, Shuqin

AU - Moon, Sungtae

AU - Zhao, Taijin

AU - Sun, Ting

AU - Guo, Wei

AU - Tian, Wei

AU - Qin, Weida

AU - Yu, Weiping

AU - Lin, Wenxiang

AU - Zhao, Xi

AU - Jia, Xiaogang

AU - He, Xin

AU - Zhao, Xingjie

AU - Liu, Xuanxin

AU - Ding, Yan

AU - Luo, Yan

AU - Xiao, Yang

AU - Wang, Yi

AU - Liu, Yingjie

AU - Kim, Yongwoo

AU - Sun, Yu

AU - Yao, Yuehan

AU - Huang, Yuyao

AU - Gong, Zehui

AU - Xu, Zhenyu

AU - Luo, Zhipeng

AU - Cao, Zhiguo

AU - Wei, Zhiwei

AU - Fan, Zhongjie

AU - Song, Zichen

AU - Liu, Ziming

N1 - Funding Information: Acknowledgements. This work was supported in part by the National Natural Science Foundation of China under Grant 61876127 and Grant 61732011, in part by Natural Science Foundation of Tianjin under Grant 17JCZDJC30800. Publisher Copyright: © 2020, Springer Nature Switzerland AG.

PY - 2020

Y1 - 2020

N2 - The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 challenges, many submitted object detectors exceed the recent state-of-the-art detectors. Based on the selected 29 robust detection methods, we discuss the experimental results comprehensively, which shows the effectiveness of ensemble learning and data augmentation in drone captured object detection. The full challenge results are publicly available at the website http://aiskyeye.com/leaderboard/.

AB - The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 challenges, many submitted object detectors exceed the recent state-of-the-art detectors. Based on the selected 29 robust detection methods, we discuss the experimental results comprehensively, which shows the effectiveness of ensemble learning and data augmentation in drone captured object detection. The full challenge results are publicly available at the website http://aiskyeye.com/leaderboard/.

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UR - http://www.scopus.com/inward/citedby.url?scp=85101779949&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-66823-5_42

DO - 10.1007/978-3-030-66823-5_42

M3 - Conference contribution

AN - SCOPUS:85101779949

SN - 9783030668228

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 692

EP - 712

BT - Computer Vision – ECCV 2020 Workshops, Proceedings

A2 - Bartoli, Adrien

A2 - Fusiello, Andrea

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 23 August 2020 through 28 August 2020

ER -

Du D, Wen L, Zhu P, Fan H, Hu Q, Ling H et al. VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. In Bartoli A, Fusiello A, editors, Computer Vision – ECCV 2020 Workshops, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 692-712. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-66823-5_42

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results

Abstract

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