对抗样本(论文解读十四): advPattern Physical World Attacks on Deep Person Re-Identification via Adversarially T
advPattern Physical World Attacks on Deep Person Re-Identification via Adversarially Transformable Zhibo Wang†, Siyan Zheng†, Mengkai Song†, Qian Wang†,∗, Alireza Rahimpour‡, Hairong Qi‡ †Key Laborato
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相关文章
- 1. 对抗样本(论文解读七):On Physical Adversarial Patches for Object Detection
- 2. 对抗样本(论文解读六):Adversarial camera stickers: A physical camera-based attack on deep learning systems
- 3. 对抗样本(论文解读四): Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
- 4. 对抗样本(论文解读八):Towards More Robust Adversarial Attack Against Real World Object Detectors
- 5. 【生成对抗样本】Simple Black-Box Adversarial Attacks on Deep Neural Networks
- 6. ECCV 2020 的对抗相关论文（对抗生成、对抗攻击）
- 7. 对抗样本(论文解读二): Transferable Adversarial Attacks for Image and Video Object Detection
- 8. 对抗样本(论文解读三): Adversarial Examples Improve Image Recognition
- 9. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 10. 对抗样本(论文解读五):Perceptual-Sensitive GAN for Generating Adversarial Patches