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Old is Gold: Redefining the Adversarially Learned One-Class Classifier
  Training Paradigm

Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm

16 April 2020
M. Zaheer
Jin-ha Lee
Marcella Astrid
Seung-Ik Lee
    AAML
ArXivPDFHTML

Papers citing "Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm"

36 / 36 papers shown
Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
Bin-Bin Gao
Yue Zhu
Jiangtao Yan
Y. Cai
W. Zhang
Meng Wang
Jun Liu
Y. Liu
L. Wang
Chengjie Wang
VLM
36
0
0
15 May 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Bin-Bin Gao
23
4
0
14 May 2025
Advancing Video Anomaly Detection: A Bi-Directional Hybrid Framework for Enhanced Single- and Multi-Task Approaches
Advancing Video Anomaly Detection: A Bi-Directional Hybrid Framework for Enhanced Single- and Multi-Task Approaches
Guodong Shen
Yuqi Ouyang
Junru Lu
Yixuan Yang
Victor Sanchez
33
1
0
20 Apr 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Nguyen H K. Do
Truc Nguyen
Malik Hassanaly
Raed Alharbi
Jung Taek Seo
My T. Thai
49
0
0
09 Mar 2025
A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame Prediction
A Physical Coherence Benchmark for Evaluating Video Generation Models via Optical Flow-guided Frame Prediction
Yongfan Chen
Xiuwen Zhu
Tianyu Li
EGVM
VGen
56
3
0
08 Feb 2025
Deep Learning for Video Anomaly Detection: A Review
Deep Learning for Video Anomaly Detection: A Review
Peng Wu
Chengyu Pan
Yuting Yan
Guansong Pang
Peng Wang
Yanning Zhang
VLM
AI4TS
37
6
0
09 Sep 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised
  Outlier Synthesis
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian K. S. Isaac-Medina
Yona Falinie A. Gaus
Neelanjan Bhowmik
T. Breckon
23
2
0
22 Jul 2024
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Jing Liu
Yang Liu
Jieyu Lin
Jielin Li
Peng Sun
Bo Hu
Liang Song
Azzedine Boukerche
Victor C.M. Leung
Victor C.M. Leung
43
10
0
16 May 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
33
6
0
29 Mar 2024
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI
  Teams
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams
Shahroz Tariq
Mohan Baruwal Chhetri
Surya Nepal
Cécile Paris
27
6
0
25 Jan 2024
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Jiaying Sun
Qiulei Dong
BDL
ObjD
30
3
0
25 Dec 2023
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly
  Detectors
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
Nicolae-Cătălin Ristea
Florinel-Alin Croitoru
Radu Tudor Ionescu
Marius Popescu
F. Khan
M. Shah
ViT
26
20
0
21 Jun 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
40
26
0
24 Mar 2023
Generalized Video Anomaly Event Detection: Systematic Taxonomy and
  Comparison of Deep Models
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models
Y. Liu
Dingkang Yang
Yan Wang
Jing Liu
Jun Liu
Azzedine Boukerche
Peng Sun
Liang Song
28
80
0
10 Feb 2023
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent
  Trajectories
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories
Julian Wiederer
Julian Schmidt
U. Kressel
Klaus C. J. Dietmayer
Vasileios Belagiannis
AI4TS
38
7
0
05 Sep 2022
Locality-aware Attention Network with Discriminative Dynamics Learning
  for Weakly Supervised Anomaly Detection
Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection
Yujiang Pu
Xiaoyu Wu
11
11
0
11 Aug 2022
Look at Adjacent Frames: Video Anomaly Detection without Offline
  Training
Look at Adjacent Frames: Video Anomaly Detection without Offline Training
Yuqi Ouyang
Guodong Shen
Victor Sanchez
OffRL
13
4
0
27 Jul 2022
Augment to Detect Anomalies with Continuous Labelling
Augment to Detect Anomalies with Continuous Labelling
Vahid Reza Khazaie
A. Wong
Y. Mohsenzadeh
20
1
0
03 Jul 2022
Anomaly Detection with Adversarially Learned Perturbations of Latent
  Space
Anomaly Detection with Adversarially Learned Perturbations of Latent Space
Vahid Reza Khazaie
A. Wong
John Taylor Jewell
Y. Mohsenzadeh
AAML
23
3
0
03 Jul 2022
Video Anomaly Detection via Prediction Network with Enhanced
  Spatio-Temporal Memory Exchange
Video Anomaly Detection via Prediction Network with Enhanced Spatio-Temporal Memory Exchange
Guodong Shen
Yuqi Ouyang
Victor Sanchez
AI4TS
17
7
0
26 Jun 2022
A Video Anomaly Detection Framework based on Appearance-Motion Semantics
  Representation Consistency
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
Xiangyu Huang
Caidan Zhao
Yilin Wang
Zhiqiang Wu
35
15
0
08 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
16
112
0
28 Mar 2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
M. Zaheer
Arif Mahmood
M. H. Khan
Mattia Segu
F. I. F. Richard Yu
Seung-Ik Lee
AI4TS
22
130
0
08 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
104
448
0
26 Jan 2022
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution
  Detection
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
OODD
11
4
0
30 Nov 2021
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae
Andrei Florescu
Mariana-Iuliana Georgescu
Tudor Mare
Paul Sumedrea
Radu Tudor Ionescu
F. Khan
M. Shah
AI4TS
25
86
0
16 Nov 2021
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
Marcella Astrid
M. Zaheer
Seung-Ik Lee
AI4TS
8
45
0
19 Oct 2021
Learning Not to Reconstruct Anomalies
Learning Not to Reconstruct Anomalies
Marcella Astrid
M. Zaheer
Jae-Yeong Lee
Seung-Ik Lee
13
46
0
19 Oct 2021
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Julian Wiederer
Arij Bouazizi
Marco Troina
U. Kressel
Vasileios Belagiannis
33
22
0
15 Oct 2021
Deep Dual Support Vector Data Description for Anomaly Detection on
  Attributed Networks
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks
Fengbin Zhang
Haoyi Fan
Ruidong Wang
Zuoyong Li
Tiancai Liang
14
31
0
01 Sep 2021
Elsa: Energy-based learning for semi-supervised anomaly detection
Elsa: Energy-based learning for semi-supervised anomaly detection
Sungwon Han
Hyeonho Song
Seungeon Lee
Sungwon Park
M. Cha
16
12
0
29 Mar 2021
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context
  Masking for Novelty Detection
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection
John Taylor Jewell
Vahid Reza Khazaie
Y. Mohsenzadeh
9
27
0
27 Mar 2021
A Modular and Unified Framework for Detecting and Localizing Video
  Anomalies
A Modular and Unified Framework for Detecting and Localizing Video Anomalies
Keval Doshi
Yasin Yılmaz
19
18
0
21 Mar 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
15
133
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
F. Khan
Marius Popescu
M. Shah
SSL
16
254
0
15 Nov 2020
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
106
227
0
26 Sep 2017
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