《Who’s Afraid of Adversarial Queries The Impact of Image》文獻閱讀筆記
本文關於針對圖像檢索的對抗樣本構造方法《Who’s Afraid of Adversarial Queries The Impact of Image》 1. 《Who’s Afraid of Adversarial Queries The Impact of Image》 本文介紹了一種針對神經網絡內容圖像檢索的對抗樣本構造方法。針對基於神經網絡的CBIR系統，如果通過本文介紹的PIRE算法
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相關文章
- 1. 文獻閱讀筆記5 On the Use of Deep Learning for Blind Image Quality Assessment（2D）
- 2. [文獻閱讀筆記] Assessing the Effectiveness of Domain Blacklisting Against Malicious DNS Registrations
- 3. 《Universal adversarial perturbations》文獻閱讀筆記
- 4. Inception-ResNet and the Impact of Residual Connections on Learning 論文閱讀
- 5. The Elements of Computing Systems閱讀筆記(1)
- 6. The Elements of Computing Systems閱讀筆記(2)
- 7. 文獻閱讀筆記9 Full-reference quality assessment of stereopairs accounting for rivalry （Cyclopean image）
- 8. Generative Adversarial Networks: An Overview文獻閱讀筆記
- 9. Low-rank Compression of Neural Nets:Learning the Rank of Each Layer 閱讀筆記
- 10. 文獻 Application of deep learning tothe diagnosis of cervical lymph node metastasis from thyroid閱讀筆記