VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results
2019-10
会议录名称2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOP (ICCVW)
ISSN2473-9936
页码213-226
发表状态已发表
DOI10.1109/ICCVW.2019.00030
摘要

Recently, 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.

关键词Detectors Object detection Drones Computer vision Detection algorithms Conferences Training
会议地点Seoul, Korea (South)
会议日期27-28 Oct. 2019
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收录类别EI ; CPCI ; CPCI-S
原始文献类型Conferences
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文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/114792
专题信息科学与技术学院_硕士生
作者单位
1.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
推荐引用方式
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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