M
Mingbo Hong
Researcher at Sichuan University
Publications - 4
Citations - 53
Mingbo Hong is an academic researcher from Sichuan University. The author has contributed to research in topics: Object detection & Computer science. The author has an hindex of 1, co-authored 4 publications receiving 5 citations.
Papers
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Journal ArticleDOI
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection From UAV Images
TL;DR: Wang et al. as discussed by the authors proposed a scale selection pyramid network (SSPNet) for tiny person detection, which consists of three components: context attention module (CAM), scale enhancement module (SEM), and scale selection module (SSM).
Posted Content
The 1st Tiny Object Detection Challenge:Methods and Results
Xuehui Yu,Zhenjun Han,Yuqi Gong,Nan Jiang,Jian Zhao,Qixiang Ye,Jie Chen,Feng Yuan,Zhang Bin,Wang Xiaodi,Xin Ying,Liu Jingwei,Mingyuan Mao,Sheng Xu,Baochang Zhang,Han Shumin,Cheng Gao,Wei Tang,Lizuo Jin,Mingbo Hong,Yuchao Yang,Shuiwang Li,Huan Luo,Qijun Zhao,Humphrey Shi +24 more
TL;DR: A brief summary of the 1st Tiny Object Detection (TOD) Challenge is provided including brief introductions to the top three methods.
Book ChapterDOI
The 1st Tiny Object Detection Challenge: Methods and Results
Xuehui Yu,Zhenjun Han,Yuqi Gong,Nan Jan,Jian Zhao,Qixiang Ye,Jie Chen,Feng Yuan,Zhang Bin,Wang Xiaodi,Xin Ying,Liu Jingwei,Mingyuan Mao,Sheng Xu,Baochang Zhang,Han Shumin,Cheng Gao,Wei Tang,Lizuo Jin,Mingbo Hong,Yuchao Yang,Shuiwang Li,Huan Luo,Qijun Zhao,Humphrey Shi +24 more
TL;DR: The TinyPerson dataset was used for the 1st Tiny Object Detection (TOD) Challenge as discussed by the authors, which encourages research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.
Posted Content
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images
TL;DR: Wang et al. as mentioned in this paper proposed a Scale Selection Pyramid Network (SSPNet) for tiny person detection, which consists of three components: Context Attention Module (CAM), Scale Enhancement Module (SEM), and Scale Selection Module (SSM).