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Deep Semi-Supervised Anomaly Detection

6 June 2019

Lukas Ruff

Robert A. Vandermeulen

Papers citing "Deep Semi-Supervised Anomaly Detection"

50 / 267 papers shown

Title
Shifting Transformation Learning for Out-of-Distribution Detection Sina Mohseni Arash Vahdat J. Yadawa OODD 67 9 0 07 Jun 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 64 4 0 02 Jun 2021
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection Yingjie Zhou Xuchen Song Yanru Zhang Fanxing Liu Ce Zhu Lingqiao Liu UQCV 114 105 0 22 May 2021
Multi-Perspective Anomaly Detection Peter Jakob M. Madan Tobias Schmid-Schirling Abhinav Valada 44 13 0 20 May 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 76 18 0 19 May 2021
DOC3-Deep One Class Classification using Contradictions Sauptik Dhar Bernardo Gonzalez Torres 125 3 0 17 May 2021
Understanding the Effect of Bias in Deep Anomaly Detection Ziyu Ye Yuxin Chen Haitao Zheng 53 18 0 16 May 2021
Discriminative-Generative Dual Memory Video Anomaly Detection Xin Guo Zhongming Jin Chong Chen Helei Nie Jianqiang Huang Deng Cai Xiaofei He Xiansheng Hua 66 5 0 29 Apr 2021
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning Zhi Chen Jiang Duan Li Kang Guoping Qiu AI4CE 86 34 0 24 Apr 2021
Fine-grained Anomaly Detection via Multi-task Self-Supervision Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 111 6 0 20 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 97 220 0 07 Apr 2021
Semi-supervised Variational Temporal Convolutional Network for IoT Communication Multi-anomaly Detection Yan Xu Yongliang Cheng DRL 21 5 0 05 Apr 2021
Multi-Class Data Description for Out-of-distribution Detection Dongha Lee Sehun Yu Hwanjo Yu OODD 68 39 0 02 Apr 2021
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning Tong Wu Jorge Ortiz AI4TS 82 28 0 31 Mar 2021
Neural Transformation Learning for Deep Anomaly Detection Beyond Images Chen Qiu Timo Pfrommer Marius Kloft Stephan Mandt Maja R. Rudolph ViT AI4TS 83 129 0 30 Mar 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 85 12 0 29 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 130 346 0 22 Mar 2021
Unsupervised Two-Stage Anomaly Detection Yunfei Liu Chaoqun Zhuang Feng Lu 111 30 0 22 Mar 2021
Image/Video Deep Anomaly Detection: A Survey Bahram Mohammadi M. Fathy Mohammad Sabokrou 64 37 0 02 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection Tomoharu Iwata Atsutoshi Kumagai 51 2 0 01 Mar 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning Kaize Ding Qinghai Zhou Hanghang Tong Huan Liu 186 128 0 22 Feb 2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays A. Spahr Behzad Bozorgtabar Jean-Philippe Thiran 74 16 0 19 Feb 2021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning Felix Sattler Tim Korjakow R. Rischke Wojciech Samek FedML 78 118 0 04 Feb 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 164 100 0 25 Jan 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning Yu Tian Guansong Pang Yuanhong Chen Rajvinder Singh Johan Verjans G. Carneiro AI4TS 120 314 0 25 Jan 2021
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 73 4 0 12 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 133 114 0 08 Jan 2021
Towards Fair Deep Anomaly Detection Hongjing Zhang Ian Davidson FaML 128 40 0 29 Dec 2020
Semi-supervised novelty detection using ensembles with regularized disagreement A. Tifrea E. Stavarache Fanny Yang UQCV 87 6 0 10 Dec 2020
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection F. V. Massoli Fabrizio Falchi Alperen Kantarci cSeymanur Akti H. K. Ekenel Giuseppe Amato 118 62 0 09 Dec 2020
ESAD: End-to-end Deep Semi-supervised Anomaly Detection Chaoqin Huang Fei Ye Peisen Zhao Ya Zhang Yanfeng Wang Qi Tian 67 12 0 09 Dec 2020
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework Fei Ye Huangjie Zheng Chaoqin Huang Ya Zhang 111 13 0 09 Dec 2020
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels Mohsen Jafarzadeh A. Dhamija Steve Cruz Chunchun Li T. Ahmad Terrance E. Boult VLM OffRL 94 9 0 25 Nov 2020
Multiresolution Knowledge Distillation for Anomaly Detection Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh M. Rohban Hamid R. Rabiee 152 448 0 22 Nov 2020
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors Yuki Inoue Hiroto Nagayoshi 134 15 0 04 Nov 2020
Graph Fairing Convolutional Networks for Anomaly Detection Mahsa Mesgaran A. Ben Hamza 69 25 0 20 Oct 2020
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning Behzad Bozorgtabar Dwarikanath Mahapatra Guillaume Vray Jean-Philippe Thiran 51 9 0 19 Oct 2020
OneFlow: One-class flow for anomaly detection based on a minimal volume region Łukasz Maziarka Marek Śmieja Marcin Sendera Łukasz Struski Jacek Tabor Przemysław Spurek 79 6 0 06 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 92 4 0 05 Oct 2020
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series Yang Jiao Kai Yang Shaoyu Dou Pan Luo Sijia Liu Dongjin Song AI4TS 94 8 0 04 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 152 806 0 24 Sep 2020
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning Daochen Zha Kwei-Herng Lai Mingyang Wan X. Hu 97 55 0 16 Sep 2020
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data Guansong Pang Anton Van Den Hengel Chunhua Shen LongBing Cao OffRL 87 91 0 15 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 87 1 0 31 Aug 2020
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 306 111 0 26 Aug 2020
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs S. Nedelkoski Jasmin Bogatinovski Alexander Acker Jorge Cardoso O. Kao 70 131 0 21 Aug 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 89 608 0 16 Jul 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 200 951 0 06 Jul 2020
Explainable Deep One-Class Classification Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Marius Kloft Klaus-Robert Muller 103 199 0 03 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 213 387 0 29 Jun 2020