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Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and
  Self-Paced Refinement
v1v2v3 (latest)

Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement

4 August 2021
Guang Yu
Siqi Wang
Zhiping Cai
Xinwang Liu
Chuanfu Xu
Cheng-Feng Wu
ArXiv (abs)PDFHTML

Papers citing "Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement"

46 / 46 papers shown
Title
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications
ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications
Tao Zhu
Qi Yu
Xinru Dong
Shiyu Li
Yue Liu
Jinlong Jiang
Lei Shu
60
0
0
04 May 2025
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow
  Reconstruction and Flow-Guided Frame Prediction
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
Zhian Liu
Yongwei Nie
Chengjiang Long
Qing Zhang
Guiqing Li
165
232
0
16 Aug 2021
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time
  Warping
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping
Dongha Lee
Sehun Yu
Hyunjun Ju
Hwanjo Yu
34
13
0
15 Aug 2021
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance
  Video
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Jie Wu
Wei Zhang
Guanbin Li
Wenhao Wu
Xiao Tan
Yingying Li
Errui Ding
Liang Lin
71
67
0
09 Aug 2021
Convolutional Transformer based Dual Discriminator Generative
  Adversarial Networks for Video Anomaly Detection
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
Xinyang Feng
Dongjin Song
Yuncong Chen
Zhengzhang Chen
Jingchao Ni
Haifeng Chen
ViT
70
73
0
29 Jul 2021
Learning Normal Dynamics in Videos with Meta Prototype Network
Learning Normal Dynamics in Videos with Meta Prototype Network
Hui Lv
Chong Chen
Zhen Cui
Chunyan Xu
Yong Li
Jian Yang
78
145
0
14 Apr 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly
  Detection
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Jianfeng Feng
Fa-Ting Hong
Weishi Zheng
89
247
0
04 Apr 2021
Curriculum Learning: A Survey
Curriculum Learning: A Survey
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
N. Sebe
ODL
140
355
0
25 Jan 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature
  Magnitude Learning
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Yu Tian
Guansong Pang
Yuanhong Chen
Rajvinder Singh
Johan Verjans
G. Carneiro
AI4TS
81
309
0
25 Jan 2021
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy
  Suppression for Anomalous Event Detection
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
M. Zaheer
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
69
134
0
24 Nov 2020
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Mariana-Iuliana Georgescu
Antonio Bărbălău
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
SSL
84
258
0
15 Nov 2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame
  Prediction
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Xinyu Wang
Zhengping Che
Bo Jiang
Ning Xiao
Ke Yang
Jian-Bo Tang
Jieping Ye
Jingyu Wang
Q. Qi
55
138
0
05 Nov 2020
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds
  on False Alarm Rate
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate
Keval Doshi
Y. Yilmaz
402
93
0
10 Oct 2020
A Background-Agnostic Framework with Adversarial Training for Abnormal
  Event Detection in Video
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
95
160
0
27 Aug 2020
Cloze Test Helps: Effective Video Anomaly Detection via Learning to
  Complete Video Events
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
Marius Kloft
76
196
0
27 Aug 2020
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive
  Object Re-ID
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
Yixiao Ge
Feng Zhu
Dapeng Chen
Rui Zhao
Hongsheng Li
VLM
69
562
0
04 Jun 2020
Old is Gold: Redefining the Adversarially Learned One-Class Classifier
  Training Paradigm
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
M. Zaheer
Jin-ha Lee
Marcella Astrid
Seung-Ik Lee
AAML
67
222
0
16 Apr 2020
A Survey of Single-Scene Video Anomaly Detection
A Survey of Single-Scene Video Anomaly Detection
B. Ramachandra
Michael J. Jones
Ranga Raju Vatsavai
AI4TS
79
179
0
13 Apr 2020
Learning Memory-guided Normality for Anomaly Detection
Learning Memory-guided Normality for Anomaly Detection
Hyunjong Park
Jongyoun Noh
Bumsub Ham
56
637
0
30 Mar 2020
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly
  Detection
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
Guansong Pang
Cheng Yan
Chunhua Shen
Anton Van Den Hengel
Xiao Bai
61
209
0
15 Mar 2020
Learning a distance function with a Siamese network to localize
  anomalies in videos
Learning a distance function with a Siamese network to localize anomalies in videos
B. Ramachandra
Michael Jeffrey Jones
Ranga Raju Vatsavai
84
79
0
24 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for
  Long-tailed Classification
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang
Guiguang Ding
Jungong Han
80
285
0
06 Jan 2020
Graph Embedded Pose Clustering for Anomaly Detection
Graph Embedded Pose Clustering for Anomaly Detection
Amir Markovitz
Gilad Sharir
Itamar Friedman
Lihi Zelnik-Manor
S. Avidan
3DH
74
168
0
26 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
520
42,449
0
03 Dec 2019
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
Yiwei Lu
Mahesh Kumar Krishna Reddy
Seyed shahabeddin Nabavi
Yang Wang
DRL
66
95
0
05 Sep 2019
Anomaly Detection in Video Sequence with Appearance-Motion
  Correspondence
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
Trong-Nguyen Nguyen
J. Meunier
85
347
0
17 Aug 2019
Multi-timescale Trajectory Prediction for Abnormal Human Activity
  Detection
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection
Royston Rodrigues
Neha Bhargava
R. Velmurugan
S. Chaudhuri
53
83
0
12 Aug 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep
  Autoencoder for Unsupervised Anomaly Detection
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
49
1,265
0
04 Apr 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action
  Classifier for Anomaly Detection
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Jia-Xing Zhong
Nannan Li
Weijie Kong
Shan Liu
Thomas H. Li
Ge Li
NoLaSSL
114
406
0
18 Mar 2019
Learning Regularity in Skeleton Trajectories for Anomaly Detection in
  Videos
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Romero Morais
Vuong Le
T. Tran
Budhaditya Saha
M. Mansour
Svetha Venkatesh
163
262
0
08 Mar 2019
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event
  Detection in Video
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video
Radu Tudor Ionescu
Fahad Shahbaz Khan
Mariana-Iuliana Georgescu
Ling Shao
167
327
0
11 Dec 2018
Latent Space Autoregression for Novelty Detection
Latent Space Autoregression for Novelty Detection
Davide Abati
Angelo Porrello
Simone Calderara
Rita Cucchiara
113
434
0
04 Jul 2018
Adversarially Learned One-Class Classifier for Novelty Detection
Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou
Mohammad Khalooei
M. Fathy
Ehsan Adeli
AAML
154
693
0
25 Feb 2018
Real-world Anomaly Detection in Surveillance Videos
Real-world Anomaly Detection in Surveillance Videos
Waqas Sultani
Chen Chen
M. Shah
AI4TS
177
1,488
0
12 Jan 2018
Detecting abnormal events in video using Narrowed Normality Clusters
Detecting abnormal events in video using Narrowed Normality Clusters
Radu Tudor Ionescu
Sorina Smeureanu
Marius Popescu
B. Alexe
74
96
0
12 Jan 2018
An overview of deep learning based methods for unsupervised and
  semi-supervised anomaly detection in videos
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos
Dilip Ravi Kiran
Mathew Thomas
Ranjith Parakkal
66
448
0
09 Jan 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu
Weixin Luo
Dongze Lian
Shenghua Gao
3DH
173
1,078
0
28 Dec 2017
Joint Detection and Recounting of Abnormal Events by Learning Deep
  Generic Knowledge
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Ryota Hinami
Tao Mei
Shiníchi Satoh
246
229
0
26 Sep 2017
Abnormal Event Detection in Videos using Generative Adversarial Nets
Abnormal Event Detection in Videos using Generative Adversarial Nets
Mahdyar Ravanbakhsh
Moin Nabi
E. Sangineto
L. Marcenaro
C. Regazzoni
N. Sebe
GAN
111
437
0
31 Aug 2017
Unmasking the abnormal events in video
Unmasking the abnormal events in video
Radu Tudor Ionescu
Sorina Smeureanu
B. Alexe
Marius Popescu
65
274
0
23 May 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
255
3,081
0
06 Dec 2016
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal
  Event Detection
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection
Mahdyar Ravanbakhsh
Moin Nabi
Hossein Mousavi
E. Sangineto
N. Sebe
162
198
0
02 Oct 2016
A Discriminative Framework for Anomaly Detection in Large Videos
A Discriminative Framework for Anomaly Detection in Large Videos
Allison Del Giorno
J. Andrew Bagnell
M. Hebert
AI4TS
136
183
0
28 Sep 2016
Self-Paced Learning: an Implicit Regularization Perspective
Self-Paced Learning: an Implicit Regularization Perspective
Yanbo Fan
Ran He
Jian Liang
Bao-Gang Hu
56
54
0
01 Jun 2016
Self Paced Deep Learning for Weakly Supervised Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto
Moin Nabi
D. Ćulibrk
N. Sebe
WSODSSL
68
117
0
24 May 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
169
1,106
0
15 Apr 2016
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