Structural Design of Convolutional Neural Networks for Steganalysis
論文摘要 研究表明，卷積神經網絡可能不適合於圖像隱寫分析。Xunet考慮了傳統隱寫分析的領域知識設計了 一種新的卷積神經網絡的結構，在網絡中採用第一層卷積中所產生的特徵值的絕對值，來方便與改進後續層的統計建模(什麼意思不太懂)。在網絡的前幾層使用TanH激活函數，後幾層採用 1 × 1 1\times1 1×1的卷積核來防止過擬合。 其具體的網絡結構如下圖所示： 對網絡的多個層的功能進行具體的解釋
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相關文章
- 1. Structural Design of Convolutional Neural Networks for Steganalysis 閱讀筆記
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- 4. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 5. Bag of Tricks for Image Classification with Convolutional Neural Networks
- 6. Understanding Convolutional Neural Networks for NLP
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- 8. Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
- 9. 014 Foundation of Convolutional Neural Networks
- 10. CS231n Convolutional Neural Networks for Visual Recognition