VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results
Dawei Du1; Pengfei Zhu2; Longyin Wen3; Xiao Bian4; Haibin Lin5; Qinghua Hu2; Tao Peng2; Jiayu Zheng2; Xinyao Wang3; Yue Zhang3; Liefeng Bo3; Hailin Shi6; Rui Zhu6; Aashish Kumar7; Aijin Li8; Almaz Zinollayev9; Anuar Askergaliyev9; Arne Schumann10; Binjie Mao11; Byeongwon Lee12; Chang Liu13; Changrui Chen14; Chunhong Pan11; Chunlei Huo11; Da Yu15; DeChun Cong16; Dening Zeng8; Dheeraj Reddy Pailla17; Di Li8; Dong Wang13; Donghyeon Cho18; Dongyu Zhang19; Furui Bai20; George Jose7; Guangyu Gao21; Guizhong Liu22; Haitao Xiong23; Hao Qi22; Haoran Wang8; Heqian Qiu24; HongLiang Li24; Huchuan Lu13; Ildoo Kim25; Jaekyum Kim26; Jane Shen20; Jihoon Lee25; Jing Ge21; Jingjing Xu16; Jingkai Zhou23; Jonas Meier10; Jun Won Choi26; Junhao Hu27; Junyi Zhang19; Junying Huang19; Kaiqi Huang11; Keyang Wang28; Lars Sommer10; Lei Jin27; Lei Zhang28; Lianghua Huang11; Lin Sun29; Lucas Steinmann10; Meixia Jia8; Nuo Xu11; Pengyi Zhang21; Qiang Chen11; Qingxuan Lv14; Qiong Liu23; Qishang Cheng24; Sai Saketh Chennamsetty17; Shuhao Chen13; Shuo Wei14; Srinivas S S Kruthiventi7; Sungeun Hong18; Sungil Kang18; Tong Wu21; Tuo Feng8; Varghese Alex Kollerathu17; Wanqi Li22; Wei Dai30; Weida Qin23; Weiyang Wang30; Xiaorui Wang14; Xiaoyu Chen24; Xin Chen13; Xin Sun14; Xin Zhang11; Xin Zhao11; Xindi Zhang31; Xinyu Zhang13; Xuankun Chen19; Xudong Wei22; Xuzhang Zhang32; Yanchao Li20; Yifu Chen15; Yu Heng Toh20; Yu Zhang14; Yu Zhu11; Yunxin Zhong21; Zexin Wang8; Zhikang Wang20; Zichen Song24; Ziming Liu21
2019-10
Source Publication2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOP (ICCVW)
ISSN2473-9936
Pages213-226
Status已发表
DOI10.1109/ICCVW.2019.00030
AbstractRecently, automatic visual data understanding from drone platforms becomes highly demanding. To facilitate the study, the Vision Meets Drone Object Detection in Image Challenge is held the second time in conjunction with the 17-th International Conference on Computer Vision (ICCV 2019), focuses on image object detection on drones. Results of 33 object detection algorithms are presented. For each participating detector, a short description is provided in the appendix. Our goal is to advance the state-of-the-art detection algorithms and provide a comprehensive evaluation platform for them. The evaluation protocol of the VisDrone-DET2019 Challenge and the comparison results of all the submitted detectors on the released dataset are publicly available at the website: http: //www.aiskyeye.com/. The results demonstrate that there still remains a large room for improvement for object detection algorithms on drones.
KeywordDetectors Object detection Drones Computer vision Detection algorithms Conferences Training
Conference PlaceSeoul, Korea (South)
Conference Date27-28 Oct. 2019
URL查看原文
Original Document TypeConferences
Document Type会议论文
Identifierhttp://kms.shanghaitech.edu.cn/handle/2MSLDSTB/114792
Collection信息科学与技术学院_硕士生
Affiliation1.University at Albany, USA
2.Tianjin University, China
3.JD Digits, USA
4.GE Global Research, USA
5.Stony Brook University, USA
6.JD AI research, China
7.Harman-Samsung, India
8.Xidian University, China
9.BTS Digital, Kazakhstan
10.Fraunhofer IOSB, Germany
11.Institute of Automation, Chinese Academy of Sciences, China
12.SK Telecom, South Korea
13.Dalian University of Technology, China
14.Ocean University of China, China
15.Harbin Institute of Technology, China
16.Nanjing University of Posts and Telecommunications, China
17.Siemens Technology and Services Private Limited, India
18.SK T-Brain, South Korea
19.SUN YAT-SEN University, China
20.Pensees Singapore Institute, Singapore
21.Beijing Institute of Technology, China
22.Xi’an Jiaotong University, China
23.South China University of Technology, China
24.University of Electronic Science and Technology of China, China
25.Kakao Brain, South Korea
26.Hanyang University, South Korea
27.ShanghaiTech University, China
28.Chongqing University, China
29.Samsung Inc, USA
30.Snowcloud.ai, China
31.Queen Mary University of London, UK
32.Huazhong University of Science and Technology, China
Recommended Citation
GB/T 7714
Dawei Du,Pengfei Zhu,Longyin Wen,et al. VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results[C],2019:213-226.
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