计算机视觉
无人机
人工智能
计算机科学
目标检测
探测器
协议(科学)
对象(语法)
对象类检测
特征提取
模式识别(心理学)
人脸检测
面部识别系统
病理
生物
替代医学
电信
医学
遗传学
作者
Dawei Du,Pengfei Zhu,Longyin Wen,Xiao Bian,Haibin Lin,Qinghua Hu,Tao Peng,Jiayu Zheng,Xinyao Wang,Yue Zhang,Liefeng Bo,Hailin Shi,Rui Zhu,Aashish Kumar,Aijin Li,Almaz Zinollayev,Anuar Askergaliyev,Arne Schumann,Binjie Mao,Byeongwon Lee
出处
期刊:International Conference on Computer Vision
日期:2019-10-01
卷期号:: 213-226
被引量:500
标识
DOI:10.1109/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.
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