论文笔记: On Physical Adversarial Patches for Object Detection

时间 2020-12-24

标签深度学习神经网络繁體版

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前言：深度学习、计算机视觉在读研究生小白，课题与对抗样本相关，打算记录一些自己的学习笔记、心得或成果。题目：On Physical Adversarial Patches for Object Detection 作者：MarkLee, J.ZicoKolter 发表：ICML 2019 Workshop on Security and Privacy of Machine Learning 关

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1. 对抗样本(论文解读七):On Physical Adversarial Patches for Object Detection
2. 论文笔记《Adversarial Networks for Prostate Cancer Detection》
3. Focal Loss for Dense Object Detection论文笔记
4. （待续）论文笔记（一）：ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
5. 《CenterNet: Keypoint Triplets for Object Detection》论文笔记
6. [论文笔记]Focal Loss for Dense Object Detection
7. 论文笔记：Learning Region Features for Object Detection
8. 论文笔记：DetNet：A Backbone network for Object Detection
9. 【论文笔记】：Augmentation for small object detection
10. 论文笔记：Relation Networks for Object Detection

>>更多相关文章<<