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人工智能圖像語義分割中注意力機(jī)制的創(chuàng)新應(yīng)用與效能提升

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doi:10.3969/J.ISSN.1672-7274.2025.06.040

中圖分類號(hào):TP18;TP31 文獻(xiàn)標(biāo)志碼:A 文章編碼: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

在人工智能圖像處理這一關(guān)鍵領(lǐng)域中,注意力機(jī)制的創(chuàng)新應(yīng)用無疑為圖像語義分割帶來了前所未有的革命性變革。(剩余5418字)

目錄
monitor