VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results
Abstract
Object detection on the drone faces a great diversity of challenges such as small object inference, background clutter and wide viewpoint. In contrast to traditional detection problem in computer vision, object detection in bird-like angle can not be transplanted directly from common-in-use methods due to special object texture in sky‘s view. However, due to the lack of a comprehensive data set, the number of algorithms that focus on object detection using data captured by drones is limited. So the VisDrone team gathered a massive data set and organized Vision Meets Drones: A Challenge (VisDrone2021) in conjunction with the IEEE International Conference on Computer Vision (ICCV 2021) to advance the field. The collected dataset is the same as the previous dataset object detection challenge. Specifically, the team needed to predict the bounding boxes of the objects of ten predefined classes. We received results from a number of teams using different approaches, and this article describes the 8 team’s approach. We conducted a detailed analysis of the assessment results and summarized the challenges. More information can be found at: http://www.aiskyeye.com/.
Cite
Text
Cao et al. "VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2021. doi:10.1109/ICCVW54120.2021.00319Markdown
[Cao et al. "VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2021.](https://mlanthology.org/iccvw/2021/cao2021iccvw-visdronedet2021/) doi:10.1109/ICCVW54120.2021.00319BibTeX
@inproceedings{cao2021iccvw-visdronedet2021,
title = {{VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results}},
author = {Cao, Yaru and He, Zhijian and Wang, Lujia and Wang, Wenguan and Yuan, Yixuan and Zhang, Dingwen and Zhang, Jinglin and Zhu, Pengfei and Van Gool, Luc and Han, Junwei and Hoi, Steven C. H. and Hu, Qinghua and Liu, Ming and Cheng, Chong and Liu, Fanfan and Cao, Guojin and Li, Guozhen and Wang, Hongkai and He, Jianye and Wan, Junfeng and Wan, Qi and Zhao, Qi and Lyu, Shuchang and Zhao, Wenzhe and Lu, Xiaoqiang and Zhu, Xingkui and Liu, Yingjie and Lv, Yixuan and Ma, Yujing and Yang, Yuting and Wang, Zhe and Xu, Zhenyu and Luo, Zhipeng and Zhang, Zhimin and Zhang, Zhiguang and Li, Zihao and Zhang, Zixiao},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2021},
pages = {2847-2854},
doi = {10.1109/ICCVW54120.2021.00319},
url = {https://mlanthology.org/iccvw/2021/cao2021iccvw-visdronedet2021/}
}