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Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection
30 April 2021
M. Zaheer
Jin-ha Lee
Marcella Astrid
Arif Mahmood
Seung-Ik Lee
NoLa
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Papers citing
"Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection"
14 / 14 papers shown
Aligning Effective Tokens with Video Anomaly in Large Language Models
Yingxian Chen
Jiahui Liu
Ruidi Fan
Yanwei Li
Chirui Chang
Shizhen Zhao
W. Fok
Xiaojuan Qi
Yik-Chung Wu
260
3
0
08 Aug 2025
Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods
Abdulhady Abas Abdullah
A. Ahmed
Tarik A. Rashid
H. Veisi
298
4
0
28 Sep 2024
Video Anomaly Detection in 10 Years: A Survey and Outlook
Moshira Abdalla
Sajid Javed
Muaz Al Radi
Anwaar Ulhaq
Naoufel Werghi
373
37
0
29 May 2024
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
Zimeng Lyu
Pujan Thapa
Travis J. Desell
AI4TS
138
3
0
17 Feb 2024
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
375
13
0
27 Nov 2023
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Anas Al-Lahham
Nurbek Tastan
Muhammad Zaigham Zaheer
Karthik Nandakumar
352
25
0
26 Oct 2023
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yukang Chen
Zhengzhe Liu
Baoheng Zhang
W. Fok
Xiaojuan Qi
Yik-Chung Wu
340
211
0
28 Nov 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Armin Danesh Pazho
Ghazal Alinezhad Noghre
Arnab A. Purkayastha
Jagannadh Vempati
Otto Martin
Hamed Tabkhi
GNN
446
73
0
08 Jun 2022
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
IEEE Transactions on Image Processing (IEEE TIP), 2022
M. Zaheer
Jin-ha Lee
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
AAML
328
24
0
25 Mar 2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2022
M. Zaheer
Arif Mahmood
M. H. Khan
Mattia Segu
Feng Yu
Seung-Ik Lee
AI4TS
410
202
0
08 Mar 2022
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
Marcella Astrid
M. Zaheer
Seung-Ik Lee
AI4TS
255
68
0
19 Oct 2021
Deep Visual Anomaly detection with Negative Learning
Jin-ha Lee
Marcella Astrid
M. Zaheer
Seung-Ik Lee
132
4
0
24 May 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
IEEE International Conference on Computer Vision (ICCV), 2021
Yu Tian
Guansong Pang
Yuanhong Chen
Rajvinder Singh
Johan Verjans
G. Carneiro
AI4TS
564
487
0
25 Jan 2021
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
European Conference on Computer Vision (ECCV), 2020
M. Zaheer
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
416
176
0
24 Nov 2020
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