Embedding Artifacts
Embedding Artifacts is a scholarly contribution that constitutes a representational method or model designed to encode semantic or structural information of entities within a continuous vector space for use in downstream computational tasks.
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9
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2017–2026
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Image Steganalysis via Diverse Filters and Squeeze-and-Excitation Convolutional Neural Network
Feng Liu, Xuan Zhou, Xuehu Yan et al. · Mathematics · 2021 · 18 citations · Full text
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1 publications · 18 citations
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1 publications · 18 citations
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