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Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

20 March 2019
Domen Tabernik
Samo Sela
J. Skvarc
D. Skočaj
ArXivPDFHTML

Papers citing "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

31 / 31 papers shown
Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
Bin-Bin Gao
Yue Zhou
Jiangtao Yan
Y. Cai
Weixi Zhang
Meng Wang
Jun Liu
Yong Liu
Lei Wang
Chengjie Wang
VLM
46
0
0
15 May 2025
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
Yiyue Li
Shaoting Zhang
Kang Li
Qicheng Lao
86
0
0
03 Feb 2025
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
Tongkun Liu
Bing Li
Xiao Jin
Yupeng Shi
Qiuying Li
Xiang Wei
71
0
0
03 Feb 2025
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
Ranjan Sapkota
Achyut Paudel
Manoj Karkee
SyDa
68
7
0
18 Nov 2024
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot
  Anomaly Detection
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection
Jiyul Ham
Yonggon Jung
Jun-Geol Baek
VLM
53
1
0
09 Nov 2024
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning
  and Entropy-based Scoring
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
Eirini Cholopoulou
D. Iakovidis
AAML
33
0
0
20 Sep 2024
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot
  Anomaly Detection
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
Yunkang Cao
Jiangning Zhang
Luca Frittoli
Yuqi Cheng
Weiming Shen
Giacomo Boracchi
VLM
58
29
0
22 Jul 2024
Sim-to-Real Domain Adaptation for Deformation Classification
Sim-to-Real Domain Adaptation for Deformation Classification
Joel Sol
Jamil Fayyad
Shadi Alijani
Homayoun Najjaran
30
0
0
13 Jul 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan
Nick Koudas
63
0
0
16 Jun 2024
A Comprehensive Survey on Machine Learning Driven Material Defect Detection
A Comprehensive Survey on Machine Learning Driven Material Defect Detection
Jun Bai
Di Wu
T. Shelley
Peter Schubel
David Twine
John Russell
Xuesen Zeng
J. Zhang
75
6
0
12 Jun 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring
  Few-shot Learning to a New Task
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
Jie Liu
Yao Wu
Xiaotong Luo
Zongze Wu
41
0
0
09 Jun 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
55
46
0
19 Mar 2024
Learning to Remove Wrinkled Transparent Film with Polarized Prior
Learning to Remove Wrinkled Transparent Film with Polarized Prior
Jiaqi Tang
Ruizheng Wu
Xiaogang Xu
Sixing Hu
Ying-Cong Chen
36
0
0
07 Mar 2024
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
34
4
0
11 Dec 2023
NAS-ASDet: An Adaptive Design Method for Surface Defect Detection
  Network using Neural Architecture Search
NAS-ASDet: An Adaptive Design Method for Surface Defect Detection Network using Neural Architecture Search
Zhenrong Wang
Bin Li
Weifeng Li
Shuanlong Niu
Wang Miao
Tongzhi Niu
47
8
0
18 Nov 2023
Referring Camouflaged Object Detection
Referring Camouflaged Object Detection
Xuying Zhang
Bo Yin
Zheng Lin
Qibin Hou
Deng-Ping Fan
Ming-Ming Cheng
53
17
0
13 Jun 2023
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and
  Masked Multi-scale Reconstruction
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
34
50
0
05 Apr 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
45
59
0
05 Mar 2023
Explainable Anomaly Detection in Images and Videos: A Survey
Explainable Anomaly Detection in Images and Videos: A Survey
Yizhou Wang
Dongliang Guo
Sheng Li
Octavia Camps
Yun Fu
39
5
0
13 Feb 2023
Harmonizing output imbalance for defect segmentation on
  extremely-imbalanced photovoltaic module cells images
Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images
Jianye Yi
Xiaopin Zhong
Weixiang Liu
Zongze Wu
Yuanlong Deng
Zhengguang Wu
39
0
0
10 Nov 2022
Quantum artificial vision for defect detection in manufacturing
Quantum artificial vision for defect detection in manufacturing
Daniel Guijo
Victor Onofre
G. Bimbo
Samuel Mugel
Daniel Estepa
Xabier De Carlos
Ana Adell
A. Lojo
J. Bilbao
Roman Orus
11
5
0
09 Aug 2022
Productive Reproducible Workflows for DNNs: A Case Study for Industrial
  Defect Detection
Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection
Perry Gibson
José Cano
AI4CE
38
1
0
19 Jun 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
26
112
0
28 Mar 2022
Anomalib: A Deep Learning Library for Anomaly Detection
Anomalib: A Deep Learning Library for Anomaly Detection
S. Akçay
Dick Ameln
Ashwin Vaidya
B. Lakshmanan
Nilesh A. Ahuja
Ergin Utku Genc
38
109
0
16 Feb 2022
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly
  Segmentation
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
Jin-Hwa Kim
Do-Hyeong Kim
Saehoon Yi
Taehoon Lee
29
53
0
31 May 2021
Unsupervised Detection of Cancerous Regions in Histology Imagery using
  Image-to-Image Translation
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
Dejan Štepec
D. Skočaj
MedIm
35
12
0
28 Apr 2021
Mixed supervision for surface-defect detection: from weakly to fully
  supervised learning
Mixed supervision for surface-defect detection: from weakly to fully supervised learning
Jakob Bozic
Domen Tabernik
D. Skočaj
14
247
0
13 Apr 2021
TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect
  Detection
TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection
Praveen Damacharla
A. M V
J. Ringenberg
A. Javaid
13
59
0
18 Jan 2021
TrustMAE: A Noise-Resilient Defect Classification Framework using
  Memory-Augmented Auto-Encoders with Trust Regions
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions
Daniel Stanley Tan
Yi-Chun Chen
Trista Pei-chun Chen
Wei-Chao Chen
UQCV
18
55
0
29 Dec 2020
Extremal Region Analysis based Deep Learning Framework for Detecting Defects
Zelin Deng
Xiaolong Yan
Shengjun Zhang
Colleen P. Bailey
19
2
0
19 Mar 2020
Fully Convolutional Networks for Chip-wise Defect Detection Employing
  Photoluminescence Images
Fully Convolutional Networks for Chip-wise Defect Detection Employing Photoluminescence Images
M. L. Stern
M. Schellenberger
28
25
0
06 Oct 2019
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