Weather recognition via classification labels and weather-cue maps | |
Wang, Zhigang2; Lu, Xiaoqiang1![]() ![]() | |
Source | Pattern Recognition
![]() |
2019-11 | |
Volume | 95Pages:272-284 |
ISSN | 00313203 |
DOI | 10.1016/j.patcog.2019.06.017 |
Rank | 2 |
English Abstract | Although it is of great importance to recognize weather conditions automatically, this task has not been explored thoroughly in practice. Generally, most approaches in the literature simply treat it as a common image classification task, i.e., assigning a certain weather label to each image. However, there are significant differences between weather recognition and common image classification, since several weather conditions tend to occur simultaneously, like foggy and cloudy. Obviously, a single weather label is insufficient to provide a comprehensive description of the weather conditions. In this case, we propose to utilize auxiliary weather-cues, e.g., black clouds and blue sky, for comprehensive weather description. Specifically, a multi-task framework is designed to jointly deal with the weather-cue segmentation task and weather classification task. Benefit from the intrinsic relationships lying in the two tasks, exploring the information of weather-cues can not only provide a comprehensive description of weather conditions, but also help the weather classification task to learn more effective features, and further improve the performance. Besides, we construct two large-scale weather recognition datasets equipped with both weather labels and segmentation masks of weather-cues. Experiment results demonstrate the excellent performance of our approach. The constructed two datasets will be available at https://github.com/wzgwzg/Multitask_Weather. © 2019 Elsevier Ltd |
Language | 英语 |
Publisher | Elsevier Ltd |
Citation statistics | |
Content Type | 期刊论文 |
URI | http://www.corc.org.cn/handle/1471x/2469374 |
Collection | 西安光学精密机械研究所_光学影像学习与分析中心 |
Corresponding Author | Lu, Xiaoqiang |
Affiliation | 1.The Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; Shaanxi; 710119, China 2.School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an; Shaanxi; 710072, China; |
Recommended Citation GB/T 7714 | Wang, Zhigang,Lu, Xiaoqiang,Li, Xuelong,et al. Weather recognition via classification labels and weather-cue maps[J]. Pattern Recognition,2019,95:272-284. |
APA | Wang, Zhigang,Lu, Xiaoqiang,Li, Xuelong,Hua, Lulu,&Zhao, Bin.(2019).Weather recognition via classification labels and weather-cue maps.Pattern Recognition,95,272-284. |
MLA | Wang, Zhigang,et al."Weather recognition via classification labels and weather-cue maps".Pattern Recognition 95(2019):272-284. |
Files in This Item: | There are no files associated with this item. |
Related Services |
Usage statistics |
Terms of Use |
No data! |
Social Bookmark/Share |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
©版权所有 ©2017 CSpace - Powered by CSpace
Edit Comment