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Anomaly detection is commonly pursued as a one-class classification problem, where models can only learn from normal training samples, while being evaluated on both normal and abnormal test samples.
Gradient-based learning applied to document recognition
Yann LeCun, Leon Bottou, Yoshua Bengio, and Pattrick Haffner · 1998
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Robust Real-Time Unusual Event Detection Using Multiple Fixed-Location Monitors
Amit Adam, Ehud Rivlin, Ilan Shimshoni, and Daviv Reinitz · 2008
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Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates
Jaechul Kim and Kristen Grauman · 2009
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Abnormal crowd behavior detection using social force model
Ramin Mehran, Alexis Oyama, and Mubarak Shah · 2009
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Anomaly Detection in Crowded Scenes
Vijay Mahadevan, Wei-Xin LI, Viral Bhalodia, and Nuno Vasconcelos · 2010
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Rectified Linear Units Improve Restricted Boltzmann Machines
Vinod Nair and Geoffrey E Hinton · 2010
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Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
Shandong Wu, Brian E. Moore, and Mubarak Shah · 2010
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Video parsing for abnormality detection
Borislav Antic and Bjorn Ommer · 2011
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Sparse reconstruction cost for abnormal event detection
Y. Cong, J. Yuan, and J. Liu · 2011
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Online Detection of Unusual Events in Videos via Dynamic Sparse Coding
Bin Zhao, Li Fei-Fei, and Eric P. Xing · 2011
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ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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Video anomaly detection based on local statistical aggregates
Venkatesh Saligrama and Zhu Chen · 2012
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Abnormal Event Detection at 150 FPS in MATLAB
Cewu Lu, Jianping Shi, and Jiaya Jia · 2013
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Object-Centric Anomaly Detection by Attribute-Based Reasoning
Babak Saleh, Ali Farhadi, and Ahmed Elgammal · 2013
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Anomaly detection and localization in crowded scenes
Weixin Li, Vijay Mahadevan, and Nuno Vasconcelos · 2014
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Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler and Rob Fergus · 2014
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Video anomaly detection and localization using hierarchical feature representation and Gaussian process regression
Kai-Wen Cheng, Yie-Tarng Chen, and Wen-Hsien Fang · 2015
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Online Detection of Abnormal Events Using Incremental Coding Length
Jayanta K. Dutta and Bonny Banerjee · 2015
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Unsupervised Behavior-Specific Dictionary Learning for Abnormal Event Detection
Huamin Ren, Weifeng Liu, Soren Ingvor Olsen, Sergio Escalera, and Thomas B. Moeslund · 2015
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A Discriminative Framework for Anomaly Detection in Large Videos
Allison Del Giorno, J. Andrew Bagnell, and Martial Hebert · 2016
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Learning temporal regularity in video sequences
Mahmudul Hasan, Jonghyun Choi, Jan Neumann, Amit K. Roy-Chowdhury, and Larry S. Davis · 2016
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Defect Detection in SEM Images of Nanofibrous Materials
Diego Carrera, Fabio Manganini, Giacomo Boracchi, and Ettore Lanzarone · 2017
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Learning deep event models for crowd anomaly detection
Yachuang Feng, Yuan Yuan, and Xiaoqiang Lu · 2017
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Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Ryota Hinami, Tao Mei, and Shin’ichi Satoh · 2017
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Unmasking the abnormal events in video
Radu Tudor Ionescu, Sorina Smeureanu, Bogdan Alexe, and Marius Popescu · 2017
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A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework
Weixin Luo, Wen Liu, and Shenghua Gao · 2017
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Abnormal Event Detection in Videos using Generative Adversarial Nets
Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo Regazzoni, and Nicu Sebe · 2017
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Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, and Reinhard Klette · 2017
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Dynamic Routing Between Capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E. Hinton · 2017
Cited alongside, same era.
Grad-CAM: Visual Explanations From Deep Networks via Gradient-Based Localization
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
Cited alongside, same era.
Deep Appearance Features for Abnormal Behavior Detection in Video
Sorina Smeureanu, Radu Tudor Ionescu, Marius Popescu, and Bogdan Alexe · 2017
Cited alongside, same era.
Online growing neural gas for anomaly detection in changing surveillance scenes
Qianru Sun, Hong Liu, and Tatsuya Harada · 2017
Cited alongside, same era.
Anomaly Detection using a Convolutional Winner-Take-All Autoencoder
Hanh T.M. Tran and David Hogg · 2017
Cited alongside, same era.
Detecting Anomalous Events in Videos by Learning Deep Representations of Appearance and Motion
Superpixel Masking and Inpainting for Self-Supervised Anomaly Detection
Zhenyu Li, Ning Li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, and Yihong Gong · 2020
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Few-Shot Scene-Adaptive Anomaly Detection
Yiwei Lu, Frank Yu, Mahesh Kumar, Krishna Reddy, and Yang Wang · 2020
Later among the works it cites.
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
Dezhao Luo, Chang Liu, Y. Zhou, Dongbao Yang, Can Ma, Qixiang Ye, and Weiping Wang · 2020
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Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, and Xiao Bai · 2020
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Learning Memory-guided Normality for Anomaly Detection
Hyunjong Park, Jongyoun Noh, and Bumsub Ham · 2020
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Street Scene: A new dataset and evaluation protocol for video anomaly detection
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Dan Xu, Yan Yan, Elisa Ricci, and Nicu Sebe · 2017
Cited alongside, same era.
Anomaly detection using deep learning based image completion
Matthias Haselmann, Dieter P. Gruber, and Paul Tabatabai · 2018
Cited alongside, same era.
Squeeze-and-Excitation Networks
Jie Hu, Li Shen, and Gang Sun · 2018
Cited alongside, same era.
STAN: Spatio-temporal adversarial networks for abnormal event detection
Sangmin Lee, Hak Gu Kim, and Yong Man Ro · 2018
Cited alongside, same era.
Future Frame Prediction for Anomaly Detection – A New Baseline
Wen Liu, Weixin Luo, Dongze Lian, and Shenghua Gao · 2018
Cited alongside, same era.
Classifier Two-Sample Test for Video Anomaly Detections
Yusha Liu, Chun-Liang Li, and Barnabaás Póczos · 2018
Cited alongside, same era.
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection
Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, and Nicu Sebe · 2018
Cited alongside, same era.
Bharathkumar Ramachandra and Michael Jones · 2020
Later among the works it cites.
Learning a distance function with a Siamese network to localize anomalies in videos
Bharathkumar Ramachandra, Michael Jones, and Ranga Vatsavai · 2020
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A Survey of Single-Scene Video Anomaly Detection
Bharathkumar Ramachandra, Michael J. Jones, and Ranga Raju Vatsavai · 2020
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Scene-Aware Context Reasoning for Unsupervised Abnormal Event Detection in Videos
Che Sun, Yunde Jia, Yao Hu, and Yuwei Wu · 2020
Later among the works it cites.
Integrating prediction and reconstruction for anomaly detection
Yao Tang, Lin Zhao, Shanshan Zhang, Chen Gong, Guangyu Li, and Jian Yang · 2020
Later among the works it cites.
Attention guided anomaly localization in images
Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, and Abhijit Mahalanobis · 2020
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Cluster Attention Contrast for Video Anomaly Detection
Ziming Wang, Yuexian Zou, and Zeming Zhang · 2020
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Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Jihun Yi and Sungroh Yoon · 2020
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Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, and Marius Kloft · 2020
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Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
Muhammad Zaigham Zaheer, Jin-ha Lee, Marcella Astrid, and Seung-Ik Lee · 2020
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Video Anomaly Detection and Localization using Motion-field Shape Description and Homogeneity Testing
Xinfeng Zhang, Su Yang, Jiulong Zhang, and Weishan Zhang · 2020
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Learning not to reconstruct anomalies
Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, and Seung-Ik Lee · 2021
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Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
Marcella Astrid, Muhammad Zaigham Zaheer, and Seung-Ik Lee · 2021
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PaDiM: A patch distribution modeling framework for anomaly detection and localization
Thomas Defard, Aleksandr Setkov, Angelique Loesch, and Romaric Audigier · 2021
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Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, and Mubarak Shah · 2021
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A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Mariana Iuliana Georgescu, Radu Ionescu, Fahad Shahbaz Khan, Marius Popescu, and Mubarak Shah · 2021
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Discriminative-Generative Dual Memory Video Anomaly Detection
Xin Guo, Zhongming Jin, Chong Chen, Helei Nie, Jianqiang Huang, Deng Cai, Xiaofei He, and Xiansheng Hua · 2021
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CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, and Tomas Pfister · 2021
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A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, and Guiqing Li · 2021
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Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
Marco Rudolph, Bastian Wandt, and Bodo Rosenhahn · 2021
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Multiresolution Knowledge Distillation for Anomaly Detection
Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, and Hamid R. Rabiee · 2021
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DRAEM – A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection
Vitjan Zavrtanik, Matej Kristan, and Danijel Skocaj · 2021
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