論文《Deep learning for steganalysis via convolutional neural》解讀
概述 這篇文章主要針對隱寫分析提出了GNCNN，可以自動學習特徵然後進行分類，與其他圖像處理工作一樣，傳統的方法需要人工提取特徵再進行分類。文章在三種最新的空域隱寫算法（HUGO，WOW，and S-UNIWARD）上證明了該模型的有效性。 模型結構 該模型主要由三部分構成：Image Processing Layer、Convolutional Layer 和Classification Lay
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相關文章
- 1. Relation Classification via Convolutional Deep Neural Network 論文研讀
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- 6. Structural Design of Convolutional Neural Networks for Steganalysis
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