Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows

28 August 2020

Papers citing "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows"

24 / 24 papers shown

Title
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection Yuqi Cheng Yunkang Cao Dongfang Wang Nong Sang Wenlong Li 71 1 0 12 May 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation Chengjie Wang Xi Jiang Bin-Bin Gao Zhenye Gan Yang Liu Feng Zheng Lizhuang Ma UQCV 119 2 0 30 Dec 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection Haoyang He Yuhu Bai Jiangning Zhang Qingdong He Hongxu Chen Zhenye Gan Chengjie Wang Xiangtai Li Guanzhong Tian Lei Xie Mamba 116 41 0 09 Apr 2024
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 111 31 0 15 Mar 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 273 30,123 0 01 Mar 2022
Anomaly Detection in Trajectory Data with Normalizing Flows M. L. D. Dias C. L. C. Mattos Ticiana L. Coelho da Silva J. Macêdo W. C. P. Silva AI4TS 31 33 0 13 Apr 2020
Structuring Autoencoders Marco Rudolph Bastian Wandt Bodo Rosenhahn 84 28 0 07 Aug 2019
Normalizing flows for novelty detection in industrial time series data Maximilian Schmidt M. Šimic DRL AI4TS AI4CE 44 25 0 17 Jun 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection Dong Gong Lingqiao Liu Vuong Le Budhaditya Saha M. Mansour Svetha Venkatesh Anton Van Den Hengel UQCV 47 1,262 0 04 Apr 2019
Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos? T. S. Nazaré R. Mello M. Ponti 46 45 0 20 Nov 2018
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger C. Steger 64 666 0 05 Jul 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 89 607 0 28 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 76 1,391 0 17 May 2018
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models M. Yang Wentong Liao Yanpeng Cao Bodo Rosenhahn AI4TS 38 13 0 09 Feb 2018
Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes Mohammad Sabokrou Mohsen Fayyaz Mahmood Fathy Zahra Moayed Reinhard Klette 69 430 0 03 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 137 1,818 0 15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 263 3,696 0 26 May 2016
Deep Structured Energy Based Models for Anomaly Detection Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang 72 427 0 25 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 313 4,179 0 21 May 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 170 867 0 12 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013