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Stabilizing Adversarially Learned One-Class Novelty Detection Using
  Pseudo Anomalies

Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies

25 March 2022
M. Zaheer
Jin-ha Lee
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
    AAML
ArXiv (abs)PDFHTML

Papers citing "Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies"

12 / 12 papers shown
Title
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
Shixuan Liu
Alex C. Kot
Xudong Jiang
DiffM
85
0
0
28 Apr 2025
AVadCLIP: Audio-Visual Collaboration for Robust Video Anomaly Detection
AVadCLIP: Audio-Visual Collaboration for Robust Video Anomaly Detection
Peng Wu
Wanshun Su
Guansong Pang
Yujia Sun
Qingsen Yan
Peng Wang
Yize Zhang
VLM
102
1
0
06 Apr 2025
Vision-Language Models Assisted Unsupervised Video Anomaly Detection
Vision-Language Models Assisted Unsupervised Video Anomaly Detection
Yalong Jiang
Liquan Mao
51
0
0
21 Sep 2024
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
VLMAI4TS
75
11
0
09 Sep 2024
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies
Marcella Astrid
Muhammad Zaigham Zaheer
Djamila Aouada
Seung-Ik Lee
AAML
79
2
0
09 May 2024
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for
  Anomaly Detection
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
Canhui Tang
Sanpin Zhou
Yizhe Li
Yonghao Dong
Le Wang
58
0
0
03 May 2024
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly
  Detection
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
Zhiwei Yang
Jing Liu
Peng Wu
72
28
0
12 Apr 2024
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation :
  A Unified Approach
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach
Ayush K. Rai
Tarun Krishna
Feiyan Hu
Alexandru Drimbarean
Kevin McGuinness
Alan F. Smeaton
Noel E. O'Connor
89
3
0
27 Nov 2023
Detecting Generated Images by Real Images Only
Detecting Generated Images by Real Images Only
Xiuli Bi
Bo Liu
Fan Yang
Bin Xiao
Weisheng Li
Gao Huang
P. Cosman
130
10
0
02 Nov 2023
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised
  Video Anomaly Detection
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
Anas Al-Lahham
Nurbek Tastan
Muhammad Zaigham Zaheer
Karthik Nandakumar
82
12
0
26 Oct 2023
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
Anil Osman Tur
Nicola Dall’Asen
Cigdem Beyan
Elisa Ricci
DiffMVGen
104
37
0
12 Apr 2023
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
Feng Yu
Seung-Ik Lee
AI4TS
109
139
0
08 Mar 2022
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