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Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection

Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection

6 October 2021
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
    UQCV
ArXivPDFHTML

Papers citing "Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection"

25 / 25 papers shown
Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
Bin-Bin Gao
Yue Zhu
Jiangtao Yan
Y. Cai
Wenbo Zhang
Meng Wang
Jun Liu
Yong-Jin Liu
L. Wang
Chengjie Wang
VLM
41
0
0
15 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
VLM
25
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 Prompt
Bin-Bin Gao
37
4
0
14 May 2025
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Hanzhe Liang
Aoran Wang
Jie Zhou
Xin Jin
C. Gao
Jinbao Wang
26
0
0
09 May 2025
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
Peijian Zeng
Feiyan Pang
Zhanbo Wang
Aimin Yang
74
0
0
28 Apr 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
Fenfang Tao
G. Xie
Fang Zhao
Xiangbo Shu
44
2
0
23 Dec 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
Simon Damm
M. Laszkiewicz
Johannes Lederer
Asja Fischer
54
3
0
23 May 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile
  Industrial Anomaly Detection
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
Chengjie Wang
Wenbing Zhu
Bin-Bin Gao
Zhenye Gan
Jianning Zhang
Zhihao Gu
Shuguang Qian
Mingang Chen
Lizhuang Ma
50
46
0
19 Mar 2024
The voraus-AD Dataset for Anomaly Detection in Robot Applications
The voraus-AD Dataset for Anomaly Detection in Robot Applications
Jan Thiess Brockmann
Marco Rudolph
Bodo Rosenhahn
Bastian Wandt
23
11
0
08 Nov 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Qiang Zhou
Weize Li
Lihan Jiang
Guoliang Wang
Guyue Zhou
Shanghang Zhang
Hao Zhao
32
30
0
11 Oct 2023
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and
  Localization
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization
Shiqi Deng
Zhiyu Sun
Ruiyan Zhuang
Jun Gong
42
5
0
06 Jul 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection
Jaemin Yoo
Lingxiao Zhao
L. Akoglu
30
4
0
21 Jun 2023
MixedTeacher : Knowledge Distillation for fast inference textural
  anomaly detection
MixedTeacher : Knowledge Distillation for fast inference textural anomaly detection
Simon Thomine
H. Snoussi
Mahmoud Soua
25
5
0
16 Jun 2023
FABLE : Fabric Anomaly Detection Automation Process
FABLE : Fabric Anomaly Detection Automation Process
Simon Thomine
H. Snoussi
Mahmoud Soua
19
5
0
16 Jun 2023
Component-aware anomaly detection framework for adjustable and logical
  industrial visual inspection
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
29
27
0
15 May 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level
  Latencies
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
Kilian Batzner
Lars Heckler
Rebecca König
43
130
0
25 Mar 2023
Take 5: Interpretable Image Classification with a Handful of Features
Take 5: Interpretable Image Classification with a Handful of Features
Thomas Norrenbrock
Marco Rudolph
Bodo Rosenhahn
FAtt
40
7
0
23 Mar 2023
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
45
24
0
15 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using
  Pyramid Normalizing Flow
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
FractalAD: A simple industrial anomaly detection method using fractal
  anomaly generation and backbone knowledge distillation
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation
X. Xia
Weijie Lv
Xing He
Nan Li
Chuanqi Liu
Ning Ding
41
1
0
30 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization
Prototypical Residual Networks for Anomaly Detection and Localization
H. Zhang
Zuxuan Wu
Zhilin 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
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
AltUB: Alternating Training Method to Update Base Distribution of
  Normalizing Flow for Anomaly Detection
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection
Yeongmin Kim
Huiwon Jang
Dongkeon Lee
Ho-Jin Choi
35
9
0
26 Oct 2022
Reconstruction from edge image combined with color and gradient
  difference for industrial surface anomaly detection
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
Discriminative Feature Learning Framework with Gradient Preference for
  Anomaly Detection
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
Muhao Xu
Xueying Zhou
Xizhan Gao
Wei-Xiong He
Sijie Niu
24
7
0
23 Apr 2022
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