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Component-aware anomaly detection framework for adjustable and logical
  industrial visual inspection

Component-aware anomaly detection framework for adjustable and logical industrial visual inspection

15 May 2023
Tongkun Liu
Bing Li
Xiao Du
Bingke Jiang
Xiao Jin
Liuyi Jin
Zhu Zhao
ArXivPDFHTML

Papers citing "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"

14 / 14 papers shown
Title
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Aimira Baitieva
Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
39
0
0
30 Mar 2025
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions
Yejin Kwon
Daeun Moon
Youngje Oh
Hyunsoo Yoon
71
0
0
26 Mar 2025
LADMIM: Logical Anomaly Detection with Masked Image Modeling in Discrete
  Latent Space
LADMIM: Logical Anomaly Detection with Masked Image Modeling in Discrete Latent Space
Shunsuke Sakai
Tatushito Hasegawa
Makoto Koshino
20
1
0
14 Oct 2024
Can Visual Language Models Replace OCR-Based Visual Question Answering
  Pipelines in Production? A Case Study in Retail
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail
Bianca Lamm
Janis Keuper
33
2
0
28 Aug 2024
PUAD: Frustratingly Simple Method for Robust Anomaly Detection
PUAD: Frustratingly Simple Method for Robust Anomaly Detection
S. Sugawara
Ryuji Imamura
20
3
0
23 Feb 2024
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
Yunkang Cao
Xiaohao Xu
Jiangning Zhang
Yuqi Cheng
Xiaonan Huang
Guansong Pang
Weiming Shen
81
41
0
29 Jan 2024
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
Shengze Li
Jianjian Cao
Peng Ye
Yuhan Ding
Chongjun Tu
Tao Chen
VLM
14
29
0
23 Jan 2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial
  Anomaly Detection
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Soopil Kim
Sion An
Philip Chikontwe
Myeongkyun Kang
Ehsan Adeli
K. Pohl
Sanghyun Park
11
17
0
21 Dec 2023
Using Global Land Cover Product as Prompt for Cropland Mapping via
  Visual Foundation Model
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model
Chao Tao
Aoran Hu
Rong Xiao
Haifeng Li
Yuze Wang
AI4CE
VLM
17
1
0
16 Oct 2023
Multimodal Industrial Anomaly Detection via Hybrid Fusion
Multimodal Industrial Anomaly Detection via Hybrid Fusion
Yue Wang
Jinlong Peng
Jiangning Zhang
Ran Yi
Yabiao Wang
Chengjie Wang
3DPC
75
84
0
01 Mar 2023
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
21
33
0
26 Oct 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
101
440
0
26 Jan 2022
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
UQCV
73
203
0
06 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
1