| Autor: |
Qinghua Hu, Sai Saketh Chennamsetty, Dawei Du, Ziming Liu, Yingping Li, Jiayu Zheng, Guizhong Liu, Varghese Alex Kollerathu, Yue Zhang, Zhaoliang Pi, Weida Qin, Zhenyu Xu, Jinrong Hu, Liefeng Bo, Hailin Shi, Xier Chen, Xingjie Zhao, Yuduo Song, Zhaotang Chen, Yunfeng Zhang, Feng Ni, Yanchao Lian, Dheeraj Reddy Pailla, Tong Wu, Longyin Wen, Jingkai Zhou, Tao Peng, Ying Li, Ting Sun, Haibin Ling, Yinan Wu, Pengfei Zhu, Lin Sun, Yiwen Wang, Martin Lauer, Guangyu Gao, Long Chen, Zhibin Xiao, Yuehan Yao, Haitao Xiong, Zhipeng Luo, Xiao Bian, Qiong Liu, Bing Dong, Rui Zhu, Jing Ge, Xinyao Wang, Wei Tian |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
ICCV Workshops |
| DOI: |
10.13140/rg.2.2.34939.46882 |
| Popis: |
Video object detection has drawn great attention recently. The Vision Meets Drone Object Detection in Video Challenge 2019 (VisDrone-VID2019) is held to advance the state-of-the-art in video object detection for videos captured by drones. Specifically, there are 13 teams participating the challenge. We also report the results of 6 state-of-the-art detectors on the collected dataset. A short description is provided in the appendix for each participating detector. We present the analysis and discussion of the challenge results. Both the dataset and the challenge results are publicly available at the challenge website: http://www.aiskyeye.com/. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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