融合双重注意力特征与时空特征的高速公路违停识别

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Publication Details

Journal
Journal of Image and Graphics
Published
2026-01-01
DOI
https://doi.org/10.11834/jig.250354
Primary Topic
Military Technology and Strategies
Type
article
Field-Weighted Citation Impact
0.00
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article

融合双重注意力特征与时空特征的高速公路违停识别

华南理工大学计算机科学与工程学院，广东广州 510006 the School of Computer Science and Engineering，South China University of Technology，Guangzhou Guangdong 510006，China, Liu Dian
Journal of Image and Graphics
Military Technology and Strategies
article

融合双重注意力特征与时空特征的高速公路违停识别

华南理工大学计算机科学与工程学院，广东广州 510006 the School of Computer Science and Engineering，South China University of Technology，Guangzhou Guangdong 510006，China, Liu Dian
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Abstract

No abstract available for this paper.
Journal of Image and GraphicsVol. 0(0)
Openalex Percentile: Top 97%
Military Technology and Strategies
DOIOpen Access PDFOpenAlex
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融合双重注意力特征与时空特征的高速公路违停识别 — 华南理工大学计算机科学与工程学院，广东广州 510006 the School of Computer Science and Engineering，South China University of Technology，Guangzhou Guangdong 510006，China, Liu Dian · Journal of Image and Graphics (2026) | TGRS Research Map | TGRS