ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.07491
  4. Cited By
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

15 November 2020
Mariana-Iuliana Georgescu
Antonio Bărbălău
Radu Tudor Ionescu
F. Khan
Marius Popescu
M. Shah
    SSL
ArXivPDFHTML

Papers citing "Anomaly Detection in Video via Self-Supervised and Multi-Task Learning"

50 / 120 papers shown
Title
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
VLM
22
0
0
14 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
25
4
0
14 May 2025
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection
SungHeon Jeong
Jihong Park
Mohsen Imani
59
0
0
05 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
Video Anomaly Detection with Contours - A Study
Video Anomaly Detection with Contours - A Study
M. Siemon
I. Nikolov
T. Moeslund
Kamal Nasrollahi
3DH
50
0
0
25 Mar 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
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review
Ufaq Khan
Umair Nawaz
A. Qayyum
Shazad Ashraf
Muhammad Bilal
Junaid Qadir
76
0
0
24 Feb 2025
ComplexVAD: Detecting Interaction Anomalies in Video
ComplexVAD: Detecting Interaction Anomalies in Video
Furkan Mumcu
Michael J. Jones
Yasin Yilmaz
A. Cherian
46
0
0
17 Jan 2025
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
Zhengye Yang
Richard J. Radke
43
0
0
14 Jan 2025
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
Xiaofeng Tan
Hongsong Wang
Xin Geng
Liang Wang
DiffM
AAML
VGen
86
0
0
04 Dec 2024
TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance
Erkut Akdag
Egor Bondarev
Peter H. N. de With
26
0
0
17 Nov 2024
Vision-Language Models Assisted Unsupervised Video Anomaly Detection
Vision-Language Models Assisted Unsupervised Video Anomaly Detection
Yalong Jiang
Liquan Mao
21
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
VLM
AI4TS
37
6
0
09 Sep 2024
Temporal Divide-and-Conquer Anomaly Actions Localization in
  Semi-Supervised Videos with Hierarchical Transformer
Temporal Divide-and-Conquer Anomaly Actions Localization in Semi-Supervised Videos with Hierarchical Transformer
Nada Osman
Marwan Torki
21
1
0
24 Aug 2024
Weakly Supervised Video Anomaly Detection and Localization with
  Spatio-Temporal Prompts
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
Peng Wu
Xuerong Zhou
Guansong Pang
Zhiwei Yang
Qingsen Yan
Peng Wang
Yanning Zhang
28
9
0
12 Aug 2024
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly
  Detection
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection
Jihun Yi
Sungroh Yoon
19
1
0
06 Aug 2024
Bounding Boxes and Probabilistic Graphical Models: Video Anomaly
  Detection Simplified
Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified
M. Siemon
T. Moeslund
Barry Norton
Kamal Nasrollahi
31
3
0
08 Jul 2024
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for
  Unsupervised Graph-Level Anomaly Detection
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection
Rui Cao
Shijie Xue
Jindong Li
Qi Wang
Yi Chang
27
1
0
29 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
Hengzhu Liu
Ping Xiong
Tianqing Zhu
Philip S. Yu
27
6
0
10 Jun 2024
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video
  Anomaly Detection
DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection
Ruituo Wu
Yang Chen
Jian Xiao
Bing Li
Jicong Fan
Frédéric Dufaux
Ce Zhu
Yipeng Liu
29
0
0
05 Jun 2024
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
Jash Dalvi
Ali Dabouei
Gunjan Dhanuka
Min Xu
18
0
0
05 Jun 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
N. Werghi
38
2
0
29 May 2024
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
Yifeng Peng
Xinyi Li
Zhiding Liang
Ying Wang
44
0
0
25 May 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
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
43
1
0
09 May 2024
Evaluating the Effectiveness of Video Anomaly Detection in the Wild:
  Online Learning and Inference for Real-world Deployment
Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment
S. Yao
Ghazal Alinezhad Noghre
Armin Danesh Pazho
Hamed Tabkhi
24
2
0
29 Apr 2024
An Exploratory Study on Human-Centric Video Anomaly Detection through
  Variational Autoencoders and Trajectory Prediction
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction
Ghazal Alinezhad Noghre
Armin Danesh Pazho
Hamed Tabkhi
27
15
0
29 Apr 2024
Frequency-Guided Multi-Level Human Action Anomaly Detection with
  Normalizing Flows
Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows
Shun Maeda
Chunzhi Gu
Junzhou Yu
Shogo Tokai
Shangce Gao
Chao Zhang
24
0
0
26 Apr 2024
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories
Giacomo DÁmicantonio
Egor Bondarau
Peter H. N. de With
AI4TS
42
0
0
19 Apr 2024
Context-aware Video Anomaly Detection in Long-Term Datasets
Context-aware Video Anomaly Detection in Long-Term Datasets
Zhengye Yang
Richard J. Radke
28
6
0
11 Apr 2024
Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection
Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection
Hao Shen
Lu Shi
Wanru Xu
Yigang Cen
Linna Zhang
Gaoyun An
ViT
23
0
0
28 Mar 2024
Constricting Normal Latent Space for Anomaly Detection with Normal-only
  Training Data
Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data
Marcella Astrid
Muhammad Zaigham Zaheer
Seung-Ik Lee
UQCV
23
0
0
24 Mar 2024
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching
  for Video Anomaly Detection
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
Jakub Micorek
Horst Possegger
Dominik Narnhofer
Horst Bischof
Mateusz Koziñski
16
6
0
21 Mar 2024
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
Chenchen Tao
Chong Wang
Yuexian Zou
Xiaohao Peng
Jiafei Wu
Jiangbo Qian
32
2
0
02 Mar 2024
Advancing Video Anomaly Detection: A Concise Review and a New Dataset
Advancing Video Anomaly Detection: A Concise Review and a New Dataset
Liyun Zhu
Lei Wang
Arjun Raj
Tom Gedeon
Chen Chen
21
12
0
07 Feb 2024
Interleaving One-Class and Weakly-Supervised Models with Adaptive
  Thresholding for Unsupervised Video Anomaly Detection
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
Yongwei Nie
Hao Huang
Chengjiang Long
Qing Zhang
Pradipta Maji
Hongmin Cai
26
1
0
24 Jan 2024
A brief introduction to a framework named Multilevel
  Guidance-Exploration Network
A brief introduction to a framework named Multilevel Guidance-Exploration Network
Guoqing Yang
Zhiming Luo
Jianzhe Gao
Yingxin Lai
Kun Yang
Yifan He
Shaozi Li
3DH
26
0
0
07 Dec 2023
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 Rai
Tarun Krishna
Feiyan Hu
Alexandru Drimbarean
Kevin McGuinness
A. Smeaton
Noel E. O'Connor
37
1
0
27 Nov 2023
BatchNorm-based Weakly Supervised Video Anomaly Detection
BatchNorm-based Weakly Supervised Video Anomaly Detection
Yixuan Zhou
Yi Qu
Xing Xu
Fumin Shen
Jingkuan Song
Hengtao Shen
20
18
0
26 Nov 2023
Identifying the Defective: Detecting Damaged Grains for Cereal
  Appearance Inspection
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection
Lei Fan
Yiwen Ding
Dongdong Fan
Yong Wu
M. Pagnucco
Yang Song
20
5
0
20 Nov 2023
Open-Vocabulary Video Anomaly Detection
Open-Vocabulary Video Anomaly Detection
Peng Wu
Xuerong Zhou
Guansong Pang
Yujia Sun
Jing Liu
Peng Wang
Yanning Zhang
VLM
32
21
0
13 Nov 2023
Holistic Representation Learning for Multitask Trajectory Anomaly
  Detection
Holistic Representation Learning for Multitask Trajectory Anomaly Detection
Alexandros Stergiou
B. D. Weerdt
Nikos Deligiannis
43
13
0
03 Nov 2023
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Jiawen Zhu
Choubo Ding
Yu Tian
Guansong Pang
40
12
0
19 Oct 2023
Beyond the Benchmark: Detecting Diverse Anomalies in Videos
Beyond the Benchmark: Detecting Diverse Anomalies in Videos
Yoav Arad
Michael Werman
16
2
0
03 Oct 2023
Human Kinematics-inspired Skeleton-based Video Anomaly Detection
Human Kinematics-inspired Skeleton-based Video Anomaly Detection
Jian Xiao
Tianyuan Liu
Genlin Ji
3DH
17
2
0
27 Sep 2023
Divide and Conquer in Video Anomaly Detection: A Comprehensive Review
  and New Approach
Divide and Conquer in Video Anomaly Detection: A Comprehensive Review and New Approach
Jian Xiao
Tianyuan Liu
G. Ji
11
6
0
26 Sep 2023
Outlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous
  Sound Detection via Multitask Learning
Outlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous Sound Detection via Multitask Learning
Yucong Zhang
Hongbin Suo
Yulong Wan
Ming Li
24
4
0
14 Sep 2023
Reasonable Anomaly Detection in Long Sequences
Reasonable Anomaly Detection in Long Sequences
Yalong Jiang
Changkang Li
AI4TS
32
0
0
06 Sep 2023
Future Video Prediction from a Single Frame for Video Anomaly Detection
Future Video Prediction from a Single Frame for Video Anomaly Detection
M. Baradaran
R. Bergevin
19
3
0
15 Aug 2023
Survey on video anomaly detection in dynamic scenes with moving cameras
Survey on video anomaly detection in dynamic scenes with moving cameras
Runyu Jiao
Yi Wan
Fabio Poiesi
Yiming Wang
27
9
0
14 Aug 2023
123
Next