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CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented
  Anomaly Localization

CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization

IEEE Access (IEEE Access), 2022
9 June 2022
Sungwook Lee
Seunghyun Lee
B. Song
ArXiv (abs)PDFHTMLGithub (110★)

Papers citing "CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization"

50 / 102 papers shown
Title
VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with Diffusion
VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with Diffusion
Samet Hicsonmez
Abd El Rahman Shabayek
Djamila Aouada
VLM
120
0
0
11 Nov 2025
Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
Yuxuan Lin
Hanjing Yan
Xuan Tong
Yang Chang
H. Wang
Ziheng Zhou
Shuyong Gao
Yan Wang
Wenqiang Zhang
79
0
0
08 Nov 2025
Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era
Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era
Wenbing Zhu
Chengjie Wang
Bin-Bin Gao
Jiangning Zhang
Guannan Jiang
...
Linjie Cheng
Yurui Pan
Bo Peng
M. Chi
Lizhuang Ma
72
0
0
01 Nov 2025
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
Sukanya Patra
Souhaib Ben Taieb
AAML
92
0
0
24 Oct 2025
One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection
One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection
Jia Guo
Shuai Lu
Lei Fan
Zelin Li
Donglin Di
...
Wenbing Zhu
Hong Yan
Fang Chen
Huiqi Li
H. Liao
191
1
0
20 Oct 2025
MIRAD - A comprehensive real-world robust anomaly detection dataset for Mass Individualization
MIRAD - A comprehensive real-world robust anomaly detection dataset for Mass Individualization
Pulin Li
Guocheng Wu
Li Yin
Yuxin Zheng
W. Zhang
Yanjie Zhou
52
0
0
18 Oct 2025
Quantized FCA: Efficient Zero-Shot Texture Anomaly Detection
Quantized FCA: Efficient Zero-Shot Texture Anomaly Detection
Andrei-Timotei Ardelean
Patrick Rückbeil
Tim Weyrich
65
0
0
17 Oct 2025
Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture
Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process MixtureInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Nico Schulthess
Ender Konukoglu
40
0
0
24 Sep 2025
Tailored Transformation Invariance for Industrial Anomaly Detection
Tailored Transformation Invariance for Industrial Anomaly Detection
Mariette Schönfeld
Wannes Meert
Hendrik Blockeel
56
0
0
22 Sep 2025
Double Helix Diffusion for Cross-Domain Anomaly Image Generation
Double Helix Diffusion for Cross-Domain Anomaly Image Generation
Linchun Wu
Qin Zou
Xianbiao Qi
Bo Du
Zhongyuan Wang
Qingquan Li
80
0
0
16 Sep 2025
AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain
AutoDetect: Designing an Autoencoder-based Detection Method for Poisoning Attacks on Object Detection Applications in the Military Domain
Alma M. Liezenga
Stefan Wijnja
Puck de Haan
Niels W. T. Brink
Jip J. van Stijn
Yori Kamphuis
Klamer Schutte
AAML
84
0
0
03 Sep 2025
Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images
Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images
Jinsol Song
Jiamu Wang
Anh Tien Nguyen
Keunho Byeon
Sangjeong Ahn
Sung Hak Lee
Jin Tae Kwak
MedIm
98
1
0
21 Aug 2025
CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection
CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection
Zhipeng Yuan
Kai Wang
Weize Quan
Dong-ming Yan
Tieru Wu
92
1
0
13 Aug 2025
Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions
Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions
Jaehyuk Heo
Pilsung Kang
VLM
108
0
0
04 Aug 2025
Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection
Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection
Francesco Dalmonte
Emirhan Bayar
Emre Akbas
Mariana-Iuliana Georgescu
ViTMedIm
193
0
0
24 Jul 2025
MoViAD: A Modular Library for Visual Anomaly Detection
MoViAD: A Modular Library for Visual Anomaly Detection
Manuel Barusco
Francesco Borsatti
Arianna Stropeni
Davide Dalle Pezze
Gian Antonio Susto
VGen
144
0
0
16 Jul 2025
Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments
Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments
Jiawen Yu
Jieji Ren
Yang Chang
Qiaojun Yu
Xuan Tong
Boyang Wang
Yan Song
You Li
Xinji Mai
Wenqiang Zhang
112
0
0
19 Jun 2025
Is Hyperbolic Space All You Need for Medical Anomaly Detection?
Is Hyperbolic Space All You Need for Medical Anomaly Detection?International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Alvaro Gonzalez-Jimenez
Simone Lionetti
Ludovic Amruthalingam
Philippe Gottfrois
Fabian Gröger
Marc Pouly
Alexander A. Navarini
197
1
0
27 May 2025
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly DetectionIEEE Transactions on Industrial Informatics (IEEE TII), 2025
Qiyu Chen
Huiyuan Luo
Haiming Yao
Wei Luo
Zhen Qu
Chengkan Lv
Zhengtao Zhang
278
5
0
23 May 2025
Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge
Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge
Marcella Astrid
Abdelrahman Shabayek
Djamila Aouada
171
0
0
22 May 2025
Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-raysInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Harim Kim
Yuhan Wang
Minkyu Ahn
Heeyoul Choi
Yuyin Zhou
Charmgil Hong
MedIm
794
0
0
22 May 2025
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
Guan Gui
Bin-Bin Gao
Jing Liu
Chengjie Wang
Yongpeng Wu
DiffM
181
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 PromptEuropean Conference on Computer Vision (ECCV), 2025
Bin-Bin Gao
225
13
0
14 May 2025
Evaluating Modern Visual Anomaly Detection Approaches in Semiconductor Manufacturing: A Comparative Study
Evaluating Modern Visual Anomaly Detection Approaches in Semiconductor Manufacturing: A Comparative Study
Manuel Barusco
Francesco Borsatti
Youssef Ben Khalifa
Davide Dalle Pezze
Gian Antonio Susto
135
0
0
12 May 2025
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression
Arianna Stropeni
Francesco Borsatti
Manuel Barusco
Davide Dalle Pezze
Marco Fabris
Gian Antonio Susto
296
1
0
11 May 2025
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Afshin Khadangi
Amir Sartipi
Xiaohui Wu
Ramin Bahmani
287
1
0
04 Apr 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Aimira Baitieva
Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
190
0
0
30 Mar 2025
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
Yorick Estievenart
Sukanya Patra
Souhaib Ben Taieb
267
0
0
24 Mar 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
Paul J. Krassnig
Dieter P. Gruber
971
1
0
06 Mar 2025
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
Silin Chen
Kangjian Di
Yichu Xu
Han-Jia Ye
Wenhan Luo
Ningmu Zou
FedML
173
0
0
28 Feb 2025
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
Yichi Zhang
Bohao Lv
Le Xue
Wenbo Zhang
Yuchen Liu
Yu Fu
Yuan Cheng
Yuan Qi
VLMMedIm
276
6
0
28 Feb 2025
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms
Manuel Barusco
Francesco Borsatti
Davide Dalle Pezze
Francesco Paissan
Elisabetta Farella
Gian Antonio Susto
212
1
0
25 Feb 2025
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly DetectionExpert systems with applications (ESWA), 2025
Jiaxiang Wang
Haote Xu
Xiaolu Chen
Haodi Xu
Yue Huang
Xinghao Ding
Xiaotong Tu
187
1
0
16 Feb 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
SoftPatch+: Fully Unsupervised Anomaly Classification and SegmentationPattern Recognition (Pattern Recogn.), 2024
Chengjie Wang
Xi Jiang
Bin-Bin Gao
Zhenye Gan
Wenshu Fan
Feng Zheng
Lizhuang Ma
UQCV
394
11
0
30 Dec 2024
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly
  Detection
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
Qiyu Chen
Huiyuan Luo
Han Gao
Chengkan Lv
Zhengtao Zhang
236
17
0
23 Dec 2024
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly
  Detection and Localization
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and LocalizationIEEE Transactions on Automation Science and Engineering (T-ASE), 2024
Wei Luo
Haiming Yao
Wenyong Yu
Zhengyong Li
323
30
0
16 Dec 2024
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For
  Anomaly Segmentation
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
Chang Won Lee
Selina Leveugle
Svetlana Stolpner
Chris Langley
Paul Grouchy
Jonathan Kelly
Steven Waslander
259
1
0
29 Nov 2024
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
Yongrui Yu
Yannian Gu
Shanghang Zhang
Xiaofan Zhang
MedIm
473
4
0
20 Oct 2024
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
Manuel Barusco
Francesco Borsatti
Davide Dalle Pezze
Francesco Paissan
Elisabetta Farella
Gian Antonio Susto
185
6
0
15 Oct 2024
On The Relationship between Visual Anomaly-free and Anomalous
  Representations
On The Relationship between Visual Anomaly-free and Anomalous Representations
Riya Sadrani
Hrishikesh Sharma
Ayush Bachan
227
0
0
09 Oct 2024
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with
  Robotic Observations
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations
Kaichen Zhou
Yang Cao
Teawhan Kim
Haiying Zhao
Hao Dong
Kai Ming Ting
Ye Zhu
221
4
0
01 Oct 2024
A Photorealistic Dataset and Vision-Based Algorithm for Anomaly Detection During Proximity Operations in Lunar Orbit
A Photorealistic Dataset and Vision-Based Algorithm for Anomaly Detection During Proximity Operations in Lunar Orbit
Selina Leveugle
Chang Won Lee
Svetlana Stolpner
Chris Langley
Paul Grouchy
Steven Waslander
Jonathan Kelly
359
1
0
30 Sep 2024
Adversarially Robust Industrial Anomaly Detection Through Diffusion
  Model
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
Yuanpu Cao
Lu Lin
Jinghui Chen
DiffM
232
1
0
09 Aug 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised
  Outlier Synthesis
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian K. S. Isaac-Medina
Yona Falinie A. Gaus
Neelanjan Bhowmik
T. Breckon
172
6
0
22 Jul 2024
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial
  Anomaly Detection and Localization
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
Qiyu Chen
Huiyuan Luo
Chengkan Lv
Zhengtao Zhang
239
67
0
12 Jul 2024
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
Subin Varghese
Vedhus Hoskere
227
2
0
26 Jun 2024
Detecting Abnormal Operations in Concentrated Solar Power Plants from
  Irregular Sequences of Thermal Images
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images
Sukanya Patra
Nicolas Sournac
Souhaib Ben Taieb
235
3
0
23 Jun 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2024
Jia Guo
Shuai Lu
Weihang Zhang
Huiqi Li
Huiqi Li
Hongen Liao
ViT
401
37
0
23 May 2024
Fractals as Pre-training Datasets for Anomaly Detection and Localization
Fractals as Pre-training Datasets for Anomaly Detection and Localization
C. Ugwu
S. Casarin
Oswald Lanz
145
0
0
11 May 2024
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion
Jie Hu
Yawen Huang
Yilin Lu
Guoyang Xie
Guannan Jiang
Yefeng Zheng
Zhichao Lu
DiffM
315
14
0
30 Apr 2024
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