Anomaly Detection via Minimum Likelihood Generative Adversarial Networks

Anomaly Detection via Minimum Likelihood Generative Adversarial Networks

1 August 2018

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Papers citing "Anomaly Detection via Minimum Likelihood Generative Adversarial Networks"

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Title
Supervised Anomaly Detection Method Combining Generative Adversarial Networks and Three-Dimensional Data in Vehicle Inspections Yohei Baba Takuro Hoshi Ryosuke Mori Gaurang Gavai 111 0 0 22 Dec 2022
Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti Tsung-Yu Lin Bor-Chun Chen Ashish Shah Philip Torr P. Dokania Ser-Nam Lim OODD 52 4 0 24 Sep 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection Bingqing Chen Luca Bondi Samarjit Das 179 8 0 05 Apr 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 67 34 0 09 Mar 2022
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 61 6 0 28 Oct 2021
Tail of Distribution GAN (TailGAN): Generative-Adversarial-Network-Based Boundary Formation Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris GAN 67 14 0 24 Jul 2021
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris 78 12 0 21 Jul 2021
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features Myeongah Cho Taeoh Kim Woojin Kim Suhwan Cho Sangyoun Lee 98 95 0 15 Oct 2020
RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies Zhe Li Chunhua Sun Chunli Liu Xiayu Chen Meng Wang Yezheng Liu 34 5 0 07 Mar 2020