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Improving Unsupervised Defect Segmentation by Applying Structural
  Similarity to Autoencoders
v1v2v3 (latest)

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

VISIGRAPP (VISIGRAPP), 2018
5 July 2018
Paul Bergmann
Sindy Löwe
Michael Fauser
David Sattlegger
C. Steger
ArXiv (abs)PDFHTML

Papers citing "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders"

50 / 248 papers shown
Anomaly Detection with Adaptive and Aggressive Rejection for Contaminated Training Data
Anomaly Detection with Adaptive and Aggressive Rejection for Contaminated Training Data
Jungi Lee
Jungkwon Kim
Chi Zhang
Kwangsun Yoo
Seok-Joo Byun
241
0
0
26 Nov 2025
DRL-Guided Neural Batch Sampling for Semi-Supervised Pixel-Level Anomaly Detection
DRL-Guided Neural Batch Sampling for Semi-Supervised Pixel-Level Anomaly Detection
Amirhossein Khadivi Noghredeh
Abdollah Safari
Fatemeh Ziaeetabar
Firoozeh Haghighi
AI4TS
249
0
0
25 Nov 2025
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
Yaohua Zha
Xue Yuerong
Chunlin Fan
Y. X. R. Wang
Tao Dai
Ke Chen
Shu-Tao Xia
3DPC
244
1
0
17 Nov 2025
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
292
1
0
11 Nov 2025
Noise & pattern: identity-anchored Tikhonov regularization for robust structural anomaly detection
Noise & pattern: identity-anchored Tikhonov regularization for robust structural anomaly detection
Alexander Bauer
Klaus-Robert Müller
153
0
0
10 Nov 2025
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
Xincheng Yao
Yan Luo
Zefeng Qian
Chongyang Zhang
493
2
0
07 Nov 2025
Reliable Robotic Task Execution in the Face of Anomalies
Reliable Robotic Task Execution in the Face of Anomalies
Bharath Santhanam
Alex Mitrevski
Santosh Thoduka
Sebastian Houben
Teena Hassan
154
0
0
27 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
134
0
0
17 Oct 2025
Segment-Factorized Full-Song Generation on Symbolic Piano Music
Segment-Factorized Full-Song Generation on Symbolic Piano Music
Ping-Yi Chen
Chih-Pin Tan
Yi-Hsuan Yang
177
2
0
07 Oct 2025
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
Xincheng Yao
Chao Shi
Muming Zhao
Guangtao Zhai
Chongyang Zhang
OODD
248
1
0
28 Sep 2025
From Benchmarks to Reality: Advancing Visual Anomaly Detection by the VAND 3.0 Challenge
From Benchmarks to Reality: Advancing Visual Anomaly Detection by the VAND 3.0 Challenge
Lars Heckler-Kram
Ashwin Vaidya
Jan-Hendrik Neudeck
Ulla Scheler
Dick Ameln
S. Akçay
Paula Ramos
262
0
0
22 Sep 2025
No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes
No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision RegimesJournal of Intelligent Manufacturing (J Intell Manuf), 2025
Blaž Rolih
Matic Fucka
D. Skočaj
179
5
0
26 Aug 2025
Fence off Anomaly Interference: Cross-Domain Distillation for Fully Unsupervised Anomaly Detection
Fence off Anomaly Interference: Cross-Domain Distillation for Fully Unsupervised Anomaly Detection
Xinyue Liu
Jianyuan Wang
Biao Leng
Shuo Zhang
147
0
0
25 Aug 2025
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection
Cory Gardner
Byungseok Min
Tae-Hyuk Ahn
137
0
0
22 Aug 2025
RDDPM: Robust Denoising Diffusion Probabilistic Model for Unsupervised Anomaly Segmentation
RDDPM: Robust Denoising Diffusion Probabilistic Model for Unsupervised Anomaly Segmentation
Mehrdad Moradi
Kamran Paynabar
DiffM
257
4
0
04 Aug 2025
Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers
Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers
Chi-Ching Hsu
Gaetan Frusque
Florent Forest
Felipe Macedo
Christian M. Franck
Olga Fink
239
5
0
25 Jul 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
364
1
0
24 Jul 2025
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
Alex Costanzino
Pierluigi Zama Ramirez
Luigi Lella
Matteo Ragaglia
Alessandro Oliva
Giuseppe Lisanti
Luigi Di Stefano
362
5
0
26 Jun 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
Xuan Tong
Jieji Ren
Yang Chang
Qiaojun Yu
Xuan Tong
Boyang Wang
Yan Song
You Li
Xinji Mai
Wenqiang Zhang
180
0
0
19 Jun 2025
Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
Tae-Seong Han
Jae-Wook Heo
Hakseung Kim
Cheol-Hui Lee
Hyub Huh
Eue-Keun Choi
Hye Jin Kim
Dong-Joo Kim
DiffM
359
1
0
13 Jun 2025
KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices
KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices
Uzair Khan
Franco Fummi
Luigi Capogrosso
177
1
0
30 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
449
24
0
14 May 2025
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection
Haoyu Bai
Jie Wang
Gaomin Li
Xianrui Li
Xiaohu Zhang
Xia Yang
418
0
0
06 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
490
3
0
04 Apr 2025
Bi-Grid Reconstruction for Image Anomaly Detection
Bi-Grid Reconstruction for Image Anomaly Detection
Huichuan Huang
Zhiqing Zhong
Guangyu Wei
Yonghao Wan
Wenlong Sun
Aimin Feng
352
1
0
01 Apr 2025
The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection
The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection
Lars Heckler-Kram
Jan-Hendrik Neudeck
Ulla Scheler
Rebecca König
Carsten Steger
881
24
0
27 Mar 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
Yongshuai Liu
Xin Liu
GAN
445
3
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
1.2K
2
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
Ningmu Zou
FedML
267
1
0
28 Feb 2025
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
Zekang Weng
Jinjin Shi
Jinwei Wang
Zeming Han
435
0
0
26 Feb 2025
A Survey on Foundation-Model-Based Industrial Defect Detection
A Survey on Foundation-Model-Based Industrial Defect Detection
Tianle Yang
Luyao Chang
Jiadong Yan
Jiajian Li
Zhi Wang
Ke Zhang
AI4CE
663
9
0
26 Feb 2025
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly DetectionKnowledge-Based Systems (KBS), 2024
Yun Peng
Xiao Lin
Nachuan Ma
Jiayuan Du
Chuangwei Liu
Chengju Liu
Qi Chen
673
26
0
17 Feb 2025
Towards Accurate Unified Anomaly Segmentation
Towards Accurate Unified Anomaly SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Wenxin Ma
Qingsong Yao
Xiang Zhang
Zhelong Huang
Zihang Jiang
S. Kevin Zhou
521
12
0
21 Jan 2025
Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through Camouflage
Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through CamouflageIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Yang Hu
Jinxia Zhang
Kaihua Zhang
Yin Yuan
Jiale Huang
Z. Zhan
Xinyu Wang
323
1
0
31 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
435
32
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
460
45
0
16 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
437
1
0
22 Nov 2024
Adaptive Deviation Learning for Visual Anomaly Detection with Data
  Contamination
Adaptive Deviation Learning for Visual Anomaly Detection with Data ContaminationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Anindya Sundar Das
Guansong Pang
M. Bhuyan
355
6
0
14 Nov 2024
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
ResAD: A Simple Framework for Class Generalizable Anomaly DetectionNeural Information Processing Systems (NeurIPS), 2024
Xincheng Yao
Zhongfu Chen
Chao Gao
Guangtao Zhai
Chongyang Zhang
317
21
0
26 Oct 2024
DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm
DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm
G. Lee
T. Dam
Md Meftahul Ferdaus
Daniel Puiu Poenar
Vu N. Duong
288
3
0
18 Oct 2024
DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection
DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection
Kecen Li
Bingquan Dai
Jingjing Fu
Xinwen Hou
349
6
0
13 Oct 2024
Texture-AD: An Anomaly Detection Dataset and Benchmark for Real
  Algorithm Development
Texture-AD: An Anomaly Detection Dataset and Benchmark for Real Algorithm Development
Tianwu Lei
Bohan Wang
Silin Chen
Shurong Cao
Ningmu Zou
242
3
0
10 Sep 2024
Context Enhancement with Reconstruction as Sequence for Unified
  Unsupervised Anomaly Detection
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly DetectionEuropean Conference on Artificial Intelligence (ECAI), 2024
Hui-Yue Yang
Hui Chen
Lihao Liu
Zijia Lin
Kai Chen
Liejun Wang
Jungong Han
Guiguang Ding
315
2
0
10 Sep 2024
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly
  Detection
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly DetectionInternational Conference on Intelligent Computing (ICIC), 2024
Tianwu Lei
Silin Chen
Bohan Wang
Zhengkai Jiang
Ningmu Zou
OOD
413
4
0
09 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
Sara Pohland
Claire Tomlin
627
0
0
09 Sep 2024
Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on
  Model-free Products
Uni-3DAD: GAN-Inversion Aided Universal 3D Anomaly Detection on Model-free ProductsExpert systems with applications (ESWA), 2024
Jiayu Liu
Shancong Mou
Nathan Gaw
Yinan Wang
348
12
0
29 Aug 2024
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
Zixuan Pan
Jun Xia
Zheyu Yan
Guoyue Xu
Yifan Qin
Xueyang Li
Yawen Wu
Zhenge Jia
Jianxu Chen
Yiyu Shi
309
1
0
15 Aug 2024
Not All Regions Are Equal: Attention-Guided Perturbation Network for Industrial Anomaly Detection
Not All Regions Are Equal: Attention-Guided Perturbation Network for Industrial Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Yuxuan Cheng
Jingbo Xia
Rui Yu
Jinhai Xiang
Xinwei He
AAML
570
0
0
14 Aug 2024
Adversarially Robust Industrial Anomaly Detection Through Diffusion
  Model
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
Yuanpu Cao
Lu Lin
Jinghui Chen
DiffM
289
1
0
09 Aug 2024
ALMRR: Anomaly Localization Mamba on Industrial Textured Surface with
  Feature Reconstruction and Refinement
ALMRR: Anomaly Localization Mamba on Industrial Textured Surface with Feature Reconstruction and Refinement
Shichen Qu
Xian Tao
Zhen Qu
Xinyi Gong
Zhengtao Zhang
Mukesh Prasad
373
2
0
25 Jul 2024
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