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How deep learning is empowering semantic segmentation: Traditional and deep learning techniques for semantic segmentation: A comparison.

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第一作者： Uroosa,Sehar

第一单位： University of Engineering and Technology, Taxila, Pakistan.

作者： Uroosa,Sehar ^[1] ; Muhammad Luqman,Naseem ^[2]

作者单位： University of Engineering and Technology, Taxila, Pakistan. ^[1] Northeastern University, Shenyang, China. ^[2]

关键词 Deep learning algorithm Image segments Object detection Pattern recognition Semantic segmentation

DOI 10.1007/s11042-022-12821-3

PMID 35411201

发布时间 2024-09-01

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Multimedia tools and applications

2022年81卷21期

30519-30544页

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How deep learning is empowering semantic segmentation: Traditional and deep learning techniques for semantic segmentation: A comparison.

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How deep learning is empowering semantic segmentation: Traditional and deep learning techniques for semantic segmentation: A comparison.

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Multimedia tools and applications

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