Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
| Triple-strip attention mechanism-based natural disaster images classification and segmentation | |
Ma, Zhihao1,3; Yuan, Mengke1,3 ; Gu, Jiaming1,3; Meng, Weiliang1,2,3; Xu, Shibiao4; Zhang, Xiaopeng1,2,3
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| Source Publication | VISUAL COMPUTER
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| ISSN | 0178-2789 |
| 2022-06-18 | |
| Pages | 11 |
| Corresponding Author | Meng, Weiliang(weiliang.meng@ia.ac.cn) ; Xu, Shibiao(shibiaoxu@bupt.edu.cn) |
| Abstract | Fast and accurate semantic analysis of natural disaster images is crucial for rational rescue plans and resource allocation. However, the scarcity of meticulously labelled datasets and the ignorance of region-of-interest scale variations of popular general-purpose methods lead to undesirable performance. In this paper, we propose a novel triple-strip attention mechanism (TSAM) to solve the generalization problem of disaster images that can be combined into general networks. Our TSAM accumulates features of three parallel-strip attentions (row strip attention, column strip attention, and channel strip attention), and the output is multiplied with original input features for further processing. Our attention mechanism can effectively overcome the defect of ignoring global features caused by the convolution and enhance the performance of the network by weighting the features from both spatial and channel aspects more comprehensively. Besides, we employ both the compression and expansion operations in the weighting operation to reduce the amount of parameters, leading to negligible computational overhead. Experiments validate that our TSAM outperforms other state-of-the-art methods on natural disaster segmentation. Due to its concise form, plug-and-play pattern, and high promotion rate, our TSAM can be combined with many existing neural networks for better performance improvement. |
| Keyword | Natural disaster image analysis Image segmentation Attention mechanism |
| DOI | 10.1007/s00371-022-02535-w |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[U21A20515] ; National Natural Science Foundation of China[61972459] ; National Natural Science Foundation of China[62172416] ; National Natural Science Foundation of China[62102414] ; National Natural Science Foundation of China[U2003109] ; National Natural Science Foundation of China[62071157] ; National Natural Science Foundation of China[62171321] ; National Natural Science Foundation of China[62162044] ; National Natural Science Foundation of China[2021KE0AB07] ; National Natural Science Foundation of China[TC210H00L/42] |
| Funding Organization | National Natural Science Foundation of China |
| WOS Research Area | Computer Science |
| WOS Subject | Computer Science, Software Engineering |
| WOS ID | WOS:000812611200001 |
| Publisher | SPRINGER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/49600 |
| Collection | 模式识别国家重点实验室_三维可视计算 |
| Corresponding Author | Meng, Weiliang; Xu, Shibiao |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 2.Zhejiang Lab, Hangzhou, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 4.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing, Peoples R China |
| First Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Corresponding Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Ma, Zhihao,Yuan, Mengke,Gu, Jiaming,et al. Triple-strip attention mechanism-based natural disaster images classification and segmentation[J]. VISUAL COMPUTER,2022:11. |
| APA | Ma, Zhihao,Yuan, Mengke,Gu, Jiaming,Meng, Weiliang,Xu, Shibiao,&Zhang, Xiaopeng.(2022).Triple-strip attention mechanism-based natural disaster images classification and segmentation.VISUAL COMPUTER,11. |
| MLA | Ma, Zhihao,et al."Triple-strip attention mechanism-based natural disaster images classification and segmentation".VISUAL COMPUTER (2022):11. |
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