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Nov, 2023
通过扩散引导分析和解释图像分类器
Analyzing and Explaining Image Classifiers via Diffusion Guidance
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Maximilian Augustin, Yannic Neuhaus, Matthias Hein
TL;DR
通过生成图像的方式来优化分类器结果、分析图像分类器的行为和决策、检测系统错误并可视化神经元,验证现有观察结果并发现新的错误模式或有害的虚假特征。
Abstract
While
deep learning
has led to huge progress in complex
image classification
tasks like ImageNet, unexpected failure modes, e.g. via
spurious fea
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