人工智能图像语义分割中注意力机制的创新应用与效能提升

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doi:10.3969/J.ISSN.1672-7274.2025.06.040

中图分类号:TP18;TP31 文献标志码:A 文章编码:1672-7274(2025)06-0119-04

Innovative Applications and Efficiency Enhancement of Attention Mechanisms in AI Image Semantic Segmentation

ZHOU Ying (Lanzhou ResourcesAndEnvironment Vocational TechnicalUniversity,Lanzhou 73ooo1,China)

Abstract: In the field ofartificial intellgence image semantic segmentation,the innovative application of attention mechanisms has significantly improved segmentationeffciency.Spatial atention mechanisms focuson key areas by allocating weights,enhancing segmentation accuracy; whereas channel atention mechanisms optimize feature selection by weighting according to the importance of feature channels.The combination of these two forms a dual atention mechanism,further enhancing model performance.These innovative applications have not only improved segmentation accuracy but also paved new paths for research in the field of image processing.

Keywords:artificial inteligence; image; semantic segmentation; attention mechanism

在人工智能图像处理这一关键领域中,注意力机制的创新应用无疑为图像语义分割带来了前所未有的革命性变革。(剩余5418字)

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