BriefGPT.xyz
Jun, 2020
通过分布和特征层次了解深可逆网络的异常检测
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
HTML
PDF
Robin Tibor Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang
TL;DR
我们提出了两种方法来解决通过最大似然训练的深度生成网络在异常检测时的问题,并通过log likelihood ratios 和多尺度模型, 提高了检测性能。
Abstract
deep generative networks
trained via
maximum likelihood
on a natural image dataset like CIFAR10 often assign high likelihoods to images from datasets with different objects (e.g., SVHN). We refine previous invest
→