VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results

Autor: Emmanouil Michail, Kaiwen Duan, Haibin Ling, Zhipeng Deng, Shengyin Zhu, Wenhao Wang, Jing Li, Dawei Du, Xiaotong Li, Wei Tian, Sihang Wu, Qianqian Xu, Jin-Young Choi, Konstantinos Avgerinakis, Xinbin Luo, Yong Wang, Qinghua Hu, Jian Cheng, Chunlei Liu, Hanlin Chen, Asanka G. Perera, Ioannis Kompatsiaris, Peizhen Zhang, Stefanos Vrochidis, Jiaqing Fan, Yaxuan Li, Ke Song, Ruixin Zhang, Wei Zhang, Yuankai Qi, Robert Laganiere, Jinyu Yang, Xiaohao He, Dongdong Li, Wenrui Ding, Weidong Chen, Qingshan Liu, Kaihua Zhang, Hao Liu, Xiao Bian, Baochang Zhang, Haotian Wu, Yifan Yang, Wenya Ma, Qinqin Nie, Juanping Zhao, Xin Zhang, Yifan Zhang, Zhiqun He, Yangliu Kuai, Lianjie Wang, Qingming Huang, Yanyun Zhao, Jongwon Choi, Lu Ding, Jie Zhang, Hao Cheng, Qiang Wang, Xiaoyu Liu, Martin Lauer, Haojie Li, Weiming Hu, Panagiotis Giannakeris, Byeongho Heo, Wenhua Zhang, Kyuewang Lee, Chenfeng Liu, Yang Meng, Pengfei Zhu, Sangdoo Yun, Longyin Wen, Jungong Han, Xixi Hu

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030110208
ECCV Workshops (5)

Single-object tracking, also known as visual tracking, on the drone platform attracts much attention recently with various applications in computer vision, such as filming and surveillance. However, the lack of commonly accepted annotated datasets an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8bd5a6d5eaf4c70c9ba568f34c17dc6
https://doi.org/10.1007/978-3-030-11021-5_28

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results

Autor: Chenfeng Liu, Jingkai Zhou, Dongdong Li, Panagiotis Giannakeris, Nitin Bansal, Yunchao Wei, Chase Brown, Bo Ke, Han Deng, Zhipeng Deng, Lin Cheng, Lianjie Wang, Qingming Huang, Zexin Wang, Qinqin Nie, Guanghui Wang, Wenrui He, Xintao Lian, Shubo Wei, Lars Sommer, Jian Cheng, Lei Zhang, Wei Li, Xiaoyu Liu, Haipeng Zhang, Emmanouil Michail, Ioannis Kompatsiaris, Zhaoyue Xia, Yuanwei Wu, Qinghua Hu, Liyu Lu, Haoran Wang, Haibin Ling, Kaiwen Duan, Qiuchen Sun, Siwei Wang, Hongyu Xu, Qishang Cheng, Yong Wang, Hao Liu, Xiao Bian, Nehal Mamgain, Lin Ma, Shengjin Wang, Yue Fan, K J Joseph, Minyu Huang, Honggang Qi, Robert Laganiere, Honghui Shi, Yali Li, Chen Qian, Lu Ding, Juanping Zhao, Xiufang Li, Zichen Song, Ke Wang, Heqian Qiu, Oliver Acatay, Zhen Cui, Wei Zhang, Stefanos Vrochidis, Arne Schumann, Xinbin Luo, Usman Sajid, Yifan Zhang, Sujuan Wang, Ying Li, Qijie Zhao, Feng Ni, Tiaojio Lee, Zhenwei He, Weikun Wu, Yongtao Wang, Fan Zhang, Yangliu Kuai, Qiong Liu, Wenzhe Yang, Hao Cheng, Vineeth N Balasubramanian, Yuqin Zhang, Jianqiang Wang, Jianxiu Yang, Zhiyao Guo, Dawei Du, Li Yang, Chengzheng Li, Xiaoyu Chen, Longyin Wen, Hongliang Li, Sheng Jiang, Yi Luo, Naveen Kumar Vedurupaka, Karthik Suresh, Zhangyang Wang, Qian Wang, Pengfei Zhu, Yiling Liu, Wenya Ma, Hu Lin, Wenchi Ma, Feng Zhu, Konstantinos Avgerinakis, Xin Sun, Haotian Wu

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030110208
ECCV Workshops (5)

Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of object detection benchmark datasets, i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::237443796468ab57b6319eb33efab2e4
https://doi.org/10.1007/978-3-030-11021-5_27