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ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

10 May 2025
Lei Hu
Zhiyong Gan
Ling Deng
Jinglin Liang
Lingyu Liang
Shuangping Huang
Tianshui Chen
    DiffM
ArXiv (abs)PDFHTML

Papers citing "ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection"

22 / 22 papers shown
Title
One-for-More: Continual Diffusion Model for Anomaly Detection
One-for-More: Continual Diffusion Model for Anomaly Detection
Xiaofan Li
Xin Tan
Zhuo Chen
Zhizhong Zhang
Ruixin Zhang
...
Guanna Jiang
Yulong Chen
Yanyun Qu
Lizhuang Ma
Yuan Xie
DiffM
116
2
0
27 Feb 2025
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Di Wu
Shicai Fan
Xue Zhou
Li Yu
Yuzhong Deng
Jianxiao Zou
Baihong Lin
DiffM
83
5
0
27 Apr 2024
Learning Feature Inversion for Multi-class Anomaly Detection under
  General-purpose COCO-AD Benchmark
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
Jiang-She Zhang
Chengjie Wang
Xiangtai Li
Guanzhong Tian
Zhucun Xue
Yong Liu
Guansong Pang
Dacheng Tao
89
5
0
16 Apr 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
Haoyang He
Yuhu Bai
Jiangning Zhang
Qingdong He
Hongxu Chen
Zhenye Gan
Chengjie Wang
Xiangtai Li
Guanzhong Tian
Lei Xie
Mamba
128
44
0
09 Apr 2024
Learning Unified Reference Representation for Unsupervised Multi-class
  Anomaly Detection
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
Liren He
Zhengkai Jiang
Jinlong Peng
Liang Liu
Qiangang Du
Xiaobin Hu
Wenbing Zhu
Mingmin Chi
Yabiao Wang
Chengjie Wang
59
11
0
18 Mar 2024
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors,
  and renal cysts in corticomedullary-phase CT
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
N. Heller
Fabian Isensee
D. Trofimova
R. Tejpaul
Zhongchen Zhao
...
Susan Austin
M. Austin
S. Regmi
Nikolaos Papanikolopoulos
C. Weight
74
73
0
05 Jul 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu
Yiming Zhou
Yuansheng Xu
Zilei Wang
121
256
0
27 Mar 2023
Deep Industrial Image Anomaly Detection: A Survey
Deep Industrial Image Anomaly Detection: A Survey
Jiaqi Liu
Guoyang Xie
Jingbao Wang
Shangwen Li
Chengjie Wang
Feng Zheng
Yaochu Jin
102
187
0
27 Jan 2023
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection
  and Segmentation
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Yang Zou
Jongheon Jeong
Latha Pemula
Dongqing Zhang
Onkar Dabeer
95
309
0
28 Jul 2022
A Unified Model for Multi-class Anomaly Detection
A Unified Model for Multi-class Anomaly Detection
Zhiyuan You
Lei Cui
Yujun Shen
Kai Yang
Xin Lu
Yu Zheng
Xinyi Le
72
225
0
08 Jun 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
493
15,768
0
20 Dec 2021
Towards Total Recall in Industrial Anomaly Detection
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth
Latha Pemula
J. Zepeda
Bernhard Schölkopf
Thomas Brox
Peter V. Gehler
UQCV
88
919
0
15 Jun 2021
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
112
988
0
10 Jun 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for
  Semi-supervised Continual Learning
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning
Liyuan Wang
Kuo Yang
Chongxuan Li
Lanqing Hong
Zhenguo Li
Jun Zhu
CLLBDL
97
82
0
02 Jan 2021
PANDA: Adapting Pretrained Features for Anomaly Detection and
  Segmentation
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Tal Reiss
Niv Cohen
Liron Bergman
Yedid Hoshen
69
252
0
12 Oct 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan
S. Swaroop
Alexander Immer
Runa Eschenhagen
Richard Turner
Mohammad Emtiyaz Khan
KELMCLL
52
143
0
29 Apr 2020
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Philip Torr
CLL
105
1,145
0
30 Jan 2018
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELMCLL
87
1,646
0
27 Nov 2017
Scalable Recollections for Continual Lifelong Learning
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
55
64
0
17 Nov 2017
Lifelong Learning with Dynamically Expandable Networks
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon
Eunho Yang
Jeongtae Lee
Sung Ju Hwang
CLL
125
1,229
0
04 Aug 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
374
7,561
0
02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
160
3,781
0
23 Nov 2016
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