論文筆記: On Physical Adversarial Patches for Object Detection
前言：深度學習、計算機視覺在讀研究生小白，課題與對抗樣本相關，打算記錄一些自己的學習筆記、心得或成果。 題目：On Physical Adversarial Patches for Object Detection 作者：MarkLee, J.ZicoKolter 發表：ICML 2019 Workshop on Security and Privacy of Machine Learning 關
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相關文章
- 1. 對抗樣本(論文解讀七):On Physical Adversarial Patches for Object Detection
- 2. 論文筆記《Adversarial Networks for Prostate Cancer Detection》
- 3. Focal Loss for Dense Object Detection論文筆記
- 4. （待續）論文筆記（一）：ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
- 5. 《CenterNet: Keypoint Triplets for Object Detection》論文筆記
- 6. [論文筆記]Focal Loss for Dense Object Detection
- 7. 論文筆記：Learning Region Features for Object Detection
- 8. 論文筆記：DetNet：A Backbone network for Object Detection
- 9. 【論文筆記】：Augmentation for small object detection
- 10. 論文筆記：Relation Networks for Object Detection