Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

5 July 2018

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

50 / 75 papers shown

Title
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 37 4 0 14 May 2025
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection Haoyu Bai Jie Wang Gaomin Li Xianrui Li Xiaohu Zhang Xia Yang 41 0 0 06 May 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 103 2 0 24 Mar 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects Paul J. Krassnig Dieter P. Gruber 208 0 0 06 Mar 2025
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection Yun Peng Xiao Lin Nachuan Ma Jiayuan Du Chuangwei Liu Chengju Liu Qi Chen 46 3 0 17 Feb 2025
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 76 1 0 22 Nov 2024
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 42 0 0 18 Oct 2024
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection Tingfeng Huang Yuxuan Cheng Jingbo Xia Rui Yu Yuxuan Cai Jinhai Xiang Xinwei He AAML 69 0 0 14 Aug 2024
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 28 2 0 22 Jul 2024
Domain-independent detection of known anomalies Jonas Buhler Jonas Fehrenbach Lucas Steinmann Christian Nauck Marios Koulakis 34 0 0 03 Jul 2024
Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection Haiming Yao Yunkang Cao Wei Luo Weihang Zhang Wenyong Yu Weiming Shen 35 8 0 17 Jun 2024
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection Hang Yao Ming-Yu Liu Haolin Wang Zhicun Yin Zifei Yan Xiaopeng Hong W. Zuo 45 15 0 11 Jun 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 69 8 0 23 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection Junzhuo Chen Shitong Kang 39 0 0 10 May 2024
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling Di Wu Shicai Fan Xue Zhou Li Yu Yuzhong Deng Jianxiao Zou Baihong Lin DiffM 46 4 0 27 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 43 6 0 29 Mar 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 44 2 0 07 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection Jingyi Liao Xun Xu Manh Cuong Nguyen A. Goodge Chuan-Sheng Foo 42 10 0 29 Feb 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano 19 10 0 07 Dec 2023
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects Peng Wang Haiming Yao Wenyong Yu 18 3 0 11 Nov 2023
The voraus-AD Dataset for Anomaly Detection in Robot Applications Jan Thiess Brockmann Marco Rudolph Bodo Rosenhahn Bastian Wandt 29 11 0 08 Nov 2023
Ano-SuPs: Multi-size anomaly detection for manufactured products by identifying suspected patches Hao Xu Juan Du Andi Wang YingCong Chen 27 1 0 20 Sep 2023
Local and Global Information in Obstacle Detection on Railway Tracks Matthias Brucker Andrei Cramariuc Cornelius von Einem Roland Siegwart Cesar Cadena 22 8 0 28 Jul 2023
Contextual Affinity Distillation for Image Anomaly Detection Jie Zhang Masanori Suganuma Takayuki Okatani 42 14 0 06 Jul 2023
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection Tongkun Liu Bing Li Xiao Du Bingke Jiang Xiao Jin Liuyi Jin Zhu Zhao 32 27 0 15 May 2023
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection Ashay Patel Petru-Daniel Tudosiu W. H. Pinaya G. Cook Vicky Goh Sebastien Ourselin M. Jorge Cardoso OOD ViT MedIm 28 11 0 14 Apr 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis Andrei-Timotei Ardelean Tim Weyrich 42 4 0 13 Apr 2023
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction Zilong Zhang Zhibin Zhao Xingwu Zhang Chuang Sun Xuefeng Chen 32 50 0 05 Apr 2023
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow Haiming Yao Wei Luo Wenyong Yu ViT 34 3 0 31 Mar 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 48 130 0 25 Mar 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data Yinsheng He Xingyu Li MedIm 25 2 0 18 Mar 2023
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection Haiming Yao Wenyong Yu Wei Luo Zhenfeng Qiang Donghao Luo Xiaotian Zhang 34 21 0 10 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 43 59 0 05 Mar 2023
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Zihan Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 35 62 0 05 Dec 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold Matías Tailanián Álvaro Pardo Pablo Musé 30 18 0 22 Nov 2022
Generalizable Industrial Visual Anomaly Detection with Self-Induction Vision Transformer Haiming Yao Wenyong Yu ViT 28 5 0 22 Nov 2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang Shiyu Li Xi Li Ping Huang Jiulong Shan Ting Chen 18 126 0 21 Nov 2022
Normal Reference Attention and Defective Feature Perception Network for Surface Defect Detection Wei Luo Haiming Yao Wenyong Yu 32 15 0 18 Nov 2022
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector Haiming Yao Xue Wang Wenyong Yu 29 9 0 01 Nov 2022
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection Tongkun Liu Bing Li Zhu Zhao Xiaoyu Du Bin Jiang Leqi Geng 28 35 0 26 Oct 2022
Reconstructed Student-Teacher and Discriminative Networks for Anomaly Detection Shinji Yamada Satoshi Kamiya Kazuhiro Hotta 29 29 0 14 Oct 2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection Peng-Fei Xing Yanpeng Sun Zechao Li 30 12 0 26 Sep 2022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data Timur Sattarov Dayananda Herurkar Jörn Hees 30 8 0 21 Sep 2022
ADTR: Anomaly Detection Transformer with Feature Reconstruction Zhiyuan You Kai Yang Wenhan Luo Lei Cui Yu Zheng Xinyi Le ViT 37 42 0 05 Sep 2022
Unsupervised Anomaly Localization with Structural Feature-Autoencoders Felix Meissen Johannes C. Paetzold Georgios Kaissis Daniel Rueckert MedIm 19 15 0 23 Aug 2022
DSR -- A dual subspace re-projection network for surface anomaly detection Vitjan Zavrtanik Matej Kristan D. Skočaj 28 103 0 02 Aug 2022
Self-Supervised Training with Autoencoders for Visual Anomaly Detection Alexander Bauer Shinichi Nakajima Klaus-Robert Müller 24 9 0 23 Jun 2022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization Sungwook Lee Seunghyun Lee B. Song 26 179 0 09 Jun 2022
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection W. T. Lunardi Martin Andreoni Lopez J. Giacalone 24 22 0 03 May 2022
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 29 7 0 23 Apr 2022