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. 1904.02639
  4. Cited By
Memorizing Normality to Detect Anomaly: Memory-augmented Deep
  Autoencoder for Unsupervised Anomaly Detection

Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

4 April 2019
Dong Gong
Lingqiao Liu
Vuong Le
Budhaditya Saha
M. Mansour
Svetha Venkatesh
Anton Van Den Hengel
    UQCV
ArXivPDFHTML

Papers citing "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"

40 / 40 papers shown
Title
Anomaly detection in radio galaxy data with trainable COSFIRE filters
Anomaly detection in radio galaxy data with trainable COSFIRE filters
Steven Ndung’u
Trienko L. Grobler
S. Wijnholds
George Azzopardi
7
0
0
24 May 2025
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
Qiyu Chen
Huiyuan Luo
Haiming Yao
Wei Luo
Zhen Qu
Chengkan Lv
Zhengtao Zhang
105
0
0
23 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
67
5
0
14 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
VLM
86
0
0
14 May 2025
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Zhe Zhang
Mingxiu Cai
Haoran Wang
Gaochang Wu
Tianyou Chai
Xiatian Zhu
60
0
0
02 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
135
1
0
20 Apr 2025
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
Tianchen Ji
Neeloy Chakraborty
Andre Schreiber
Katherine Rose Driggs-Campbell
399
1
0
23 Feb 2025
Quantum autoencoders for image classification
Quantum autoencoders for image classification
Hinako Asaoka
Kazue Kudo
101
0
0
21 Feb 2025
Autoencoders for Anomaly Detection are Unreliable
Autoencoders for Anomaly Detection are Unreliable
Roel Bouman
Tom Heskes
58
1
0
23 Jan 2025
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
Zhengye Yang
Richard J. Radke
72
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
108
0
0
04 Dec 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
Sara Pohland
Claire Tomlin
UQCV
108
1
0
22 Nov 2024
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Jingbo Xia
Rui Yu
Yuxuan Cai
Jinhai Xiang
Xinwei He
AAML
157
0
0
14 Aug 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Jiaqi Zhu
Shaofeng Cai
Fang Deng
Junran Wu
Junran Wu
83
15
0
15 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELM
CLL
72
11
0
27 Mar 2024
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
Hui Zhang
Zheng Wang
Dan Zeng
Zuxuan Wu
Yu-Gang Jiang
DiffM
90
25
0
15 Mar 2023
Attribute Restoration Framework for Anomaly Detection
Attribute Restoration Framework for Anomaly Detection
Chaoqin Huang
Fei Ye
Jinkun Cao
Maosen Li
Ya Zhang
Cewu Lu
70
48
0
25 Nov 2019
MPTV: Matching Pursuit Based Total Variation Minimization for Image
  Deconvolution
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution
Dong Gong
Mingkui Tan
Javen Qinfeng Shi
Anton van den Hengel
Yanning Zhang
46
22
0
12 Oct 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
62
603
0
28 May 2018
Memorization Precedes Generation: Learning Unsupervised GANs with Memory
  Networks
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
Youngjin Kim
Minjung Kim
Gunhee Kim
GAN
71
40
0
05 Mar 2018
Adversarially Learned One-Class Classifier for Novelty Detection
Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou
Mohammad Khalooei
M. Fathy
Ehsan Adeli
AAML
89
690
0
25 Feb 2018
Anomaly Detection using One-Class Neural Networks
Anomaly Detection using One-Class Neural Networks
Raghavendra Chalapathy
A. Menon
Sanjay Chawla
UQCV
40
395
0
18 Feb 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu
Weixin Luo
Dongze Lian
Shenghua Gao
3DH
93
1,069
0
28 Dec 2017
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
192
228
0
26 Sep 2017
Unmasking the abnormal events in video
Unmasking the abnormal events in video
Radu Tudor Ionescu
Sorina Smeureanu
B. Alexe
Marius Popescu
36
274
0
23 May 2017
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
Yong Shean Chong
Yong Haur Tay
51
540
0
06 Jan 2017
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing
  Heterogeneous Motion Blur
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur
Dong Gong
Jie Yang
Lingqiao Liu
Yanning Zhang
Ian Reid
Chunhua Shen
Anton Van Den Hengel
Javen Qinfeng Shi
56
393
0
08 Dec 2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Jack W. Rae
Jonathan J. Hunt
Tim Harley
Ivo Danihelka
A. Senior
Greg Wayne
Alex Graves
Timothy Lillicrap
35
158
0
27 Oct 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
125
2,490
0
16 Jun 2016
Deep Structured Energy Based Models for Anomaly Detection
Deep Structured Energy Based Models for Anomaly Detection
Shuangfei Zhai
Yu Cheng
Weining Lu
Zhongfei Zhang
45
426
0
25 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
289
37,704
0
20 May 2016
One-shot Learning with Memory-Augmented Neural Networks
One-shot Learning with Memory-Augmented Neural Networks
Adam Santoro
Sergey Bartunov
M. Botvinick
Daan Wierstra
Timothy Lillicrap
53
525
0
19 May 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
104
1,096
0
15 Apr 2016
Learning to Generate with Memory
Learning to Generate with Memory
Chongxuan Li
Jun Zhu
Bo Zhang
BDL
86
42
0
24 Feb 2016
Learning Deep Representations of Appearance and Motion for Anomalous
  Event Detection
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Dan Xu
Elisa Ricci
Yan Yan
Jingkuan Song
N. Sebe
104
512
0
06 Oct 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
286
43,154
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
736
149,474
0
22 Dec 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
61
2,318
0
20 Oct 2014
Memory Networks
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNN
KELM
117
1,702
0
15 Oct 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
354
16,972
0
20 Dec 2013
1