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Cleaning Label Noise with Clusters for Minimally Supervised Anomaly
  Detection

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
ArXiv (abs)PDFHTML

Papers citing "Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection"

13 / 13 papers shown
Title
Advanced Clustering Techniques for Speech Signal Enhancement: A Review
  and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods
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 Rashid
Hadi Veisi
Yassin Hussein Rassul
B. Hassan
Polla Fattah
Sabat Abdulhameed Ali
Ahmed S. Shamsaldin
62
1
0
28 Sep 2024
Video Anomaly Detection in 10 Years: A Survey and Outlook
Video Anomaly Detection in 10 Years: A Survey and Outlook
Moshira Abdalla
Sajid Javed
Muaz Al Radi
Anwaar Ulhaq
Naoufel Werghi
78
5
0
29 May 2024
Minimally Supervised Topological Projections of Self-Organizing Maps for
  Phase of Flight Identification
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
Zimeng Lyu
Pujan Thapa
Travis J. Desell
AI4TS
36
2
0
17 Feb 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
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
MGFN: Magnitude-Contrastive Glance-and-Focus Network for
  Weakly-Supervised Video Anomaly Detection
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Yukang Chen
Zhengzhe Liu
Baoheng Zhang
W. Fok
Xiaojuan Qi
Yik-Chung Wu
119
125
0
28 Nov 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in
  Distributed Systems
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems
Armin Danesh Pazho
Ghazal Alinezhad Noghre
Arnab A. Purkayastha
Jagannadh Vempati
Otto Martin
Hamed Tabkhi
GNN
97
38
0
08 Jun 2022
Stabilizing Adversarially Learned One-Class Novelty Detection Using
  Pseudo Anomalies
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
M. Zaheer
Jin-ha Lee
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
AAML
69
17
0
25 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
Feng Yu
Seung-Ik Lee
AI4TS
109
139
0
08 Mar 2022
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
73
46
0
19 Oct 2021
Deep Visual Anomaly detection with Negative Learning
Deep Visual Anomaly detection with Negative Learning
Jin-ha Lee
Marcella Astrid
M. Zaheer
Seung-Ik Lee
25
3
0
24 May 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
107
312
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
80
134
0
24 Nov 2020
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