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Oct, 2023
缺乏标签验证数据下的异常检测器模型选择
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
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Clement Fung, Chen Qiu, Aodong Li, Maja Rudolph
TL;DR
通过合成验证数据的方法,我们提出了一个用于评估基于图像的异常检测器的通用框架,该框架与其他基于真实验证集的方法选择相同的模型和超参数,并在各种实验中表现出最佳的异常检测准确性。
Abstract
anomaly detection
requires detecting abnormal samples in large
unlabeled datasets
. While progress in deep learning and the advent of foundation models has produced powerful unsupervised
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