VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results
Abstract
Crowding counting research evolves quickly by the lever-age of development in deep learning. Many researchers put their efforts into crowd counting tasks and have achieved many significant improvements. However, current datasets still barely satisfy this evolution and high quality evaluation data is urgent. Motivated by high quality and quantity study in crowding counting, we collect a drone-captured dataset formed by 5,468 images(images in RGB and thermal appear in pairs and 2,734 respectively). There are 1,807 pairs of images for training, and 927 pairs for testing. We manually annotate persons with points in each frame. Based on this dataset, we organized the Vision Meets Drone Crowd Counting Challenge(Visdrone-CC2021) in conjunction with the International Conference on Computer Vision (ICCV 2021). Our challenge attracts many researchers to join, which pave the road of speed up the milestone in crowding counting. To summarize the competition, we select the most remarkable algorithms from participants’ sub-missions and provide a detailed analysis of the evaluation results. More information can be found at the website: http://www.aiskyeye.com/.
Cite
Text
Liu et al. "VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2021. doi:10.1109/ICCVW54120.2021.00317Markdown
[Liu et al. "VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results." IEEE/CVF International Conference on Computer Vision Workshops, 2021.](https://mlanthology.org/iccvw/2021/liu2021iccvw-visdronecc2021/) doi:10.1109/ICCVW54120.2021.00317BibTeX
@inproceedings{liu2021iccvw-visdronecc2021,
title = {{VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results}},
author = {Liu, Zhihao 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 Pan, Junwen and Yin, Baoqun and Zhang, Binyu and Liu, Chengxin and Ding, Ding and Liang, Dingkang and Ding, Guanchen and Lu, Hao and Lin, Hui and Chen, Jingyuan and Li, Jiong and Liu, Liang and Zhou, Lin and Shi, Min and Yang, Qianqian and He, Qing and Peng, Sifan and Xu, Wei and Han, Wenwei and Bai, Xiang and Chen, Xiwu and Wang, Yabin and Xia, Yinfeng and Tao, Yiran and Chen, Zhenzhong and Cao, Zhiguo},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2021},
pages = {2830-2838},
doi = {10.1109/ICCVW54120.2021.00317},
url = {https://mlanthology.org/iccvw/2021/liu2021iccvw-visdronecc2021/}
}