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End-to-end training of a two-stage neural network for defect detection

End-to-end training of a two-stage neural network for defect detection

15 July 2020
Jakob Bozic
Domen Tabernik
D. Skočaj
ArXiv (abs)PDFHTML

Papers citing "End-to-end training of a two-stage neural network for defect detection"

11 / 11 papers shown
Title
Change-Aware Siamese Network for Surface Defects Segmentation under
  Complex Background
Change-Aware Siamese Network for Surface Defects Segmentation under Complex Background
Biyuan Liu
Huaixin Chen
Huiyao Zhan
Sijie Luo
Zhou Huang
78
1
0
01 Sep 2024
Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
Muhammad Aqeel
Shakiba Sharifi
Marco Cristani
Francesco Setti
72
1
0
21 Aug 2024
Source-Free Test-Time Adaptation For Online Surface-Defect Detection
Source-Free Test-Time Adaptation For Online Surface-Defect Detection
Yiran Song
Qianyu Zhou
Lizhuang Ma
TTA
105
1
0
18 Aug 2024
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge
  Inspection and Defect Detection
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection
Harnaik Dhami
Charith Reddy
V. Sharma
Troi Williams
Pratap Tokekar
69
1
0
24 Jun 2024
A Discrepancy Aware Framework for Robust Anomaly Detection
A Discrepancy Aware Framework for Robust Anomaly Detection
Yuxuan Cai
Dingkang Liang
Dongliang Luo
Xinwei He
Xin Yang
Xiang Bai
AAMLUQCV
166
19
0
11 Oct 2023
Decision Fusion Network with Perception Fine-tuning for Defect
  Classification
Decision Fusion Network with Perception Fine-tuning for Defect Classification
Xiaoheng Jiang
Shilong Tian
Zhiwen Zhu
Yang Lu
Hao Liu
Li Chen
Shupan Li
Mingliang Xu
86
1
0
22 Sep 2023
A Review of Benchmarks for Visual Defect Detection in the Manufacturing
  Industry
A Review of Benchmarks for Visual Defect Detection in the Manufacturing Industry
Philippe Carvalho
A. Durupt
Yves Grandvalet
13
4
0
05 May 2023
Omni-frequency Channel-selection Representations for Unsupervised
  Anomaly Detection
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
Yufei Liang
Jiangning Zhang
Shiwei Zhao
Ru-Chwen Wu
Yong-Jin Liu
Shuwen Pan
207
125
0
01 Mar 2022
A Survey on Proactive Customer Care: Enabling Science and Steps to
  Realize it
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it
Viswanath Ganapathy
Sauptik Dhar
Olimpiya Saha
Pelin Kurt Garberson
Javad Heydari
Mohak Shah
68
1
0
11 Oct 2021
DRAEM -- A discriminatively trained reconstruction embedding for surface
  anomaly detection
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
Vitjan Zavrtanik
Matej Kristan
D. Skočaj
96
631
0
17 Aug 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
106
258
0
13 Apr 2021
1