Authors
|
D. Du |
L. Wen | |
P. Zhu | |
H. Fan | |
Q. Hu | |
H. Ling | |
M. Shah | |
J. Pan | |
A. Axenopoulos | |
Year
|
2020 |
Venue
|
in European Conference on Computer Vision Workshops (ECCVW), Glasgow, UK, August 23-28, 2020. |
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/.