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西北工业大学 国内
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Fooling Aerial Detectors by Background Attack via Dual-Adversarial-Induced Error Identification
Xiaofei Wang,
Shaohui Mei
, Jiawei Lian, Yingjie Lu
电子信息学院
Northwestern Polytechnical University Xian
科研成果
:
期刊稿件
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文章
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同行评审
8
引用 （Scopus）
综述
指纹
指纹
探究 'Fooling Aerial Detectors by Background Attack via Dual-Adversarial-Induced Error Identification' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
Attack Detector
100%
Superior Performance
50%
Object Detection
50%
False Negative
50%
Object Detector
50%
Adversarial Machine Learning
50%
Error Detection
50%
False Positive
50%
Average Accuracy
50%
Comparative Analysis
50%
Targeted Attack
50%
Engineering
Error Identification
100%
Network Model
33%
Loss Function
33%
State-of-the-Art Method
33%
Misclassification
33%
Target Region
33%
Comparative Analysis
33%
Pixel Value
33%
Error Detection
33%
Aerial Image
33%
False Negative
33%