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Few Shot Part Segmentation Reveals Compositional Logic for Industrial
  Anomaly Detection

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection

21 December 2023
Soopil Kim
Sion An
Philip Chikontwe
Myeongkyun Kang
Ehsan Adeli
K. Pohl
Sanghyun Park
ArXivPDFHTML

Papers citing "Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection"

27 / 27 papers shown
Title
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
108
0
0
26 Mar 2025
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang
Ying Chen
Qiang Nie
Yang Liu
Jianlin Liu
Jinbao Wang
WU Kai
Chengjie Wang
Feng Zheng
156
62
0
21 Mar 2024
Set Features for Anomaly Detection
Set Features for Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
147
0
0
24 Nov 2023
ReConPatch : Contrastive Patch Representation Learning for Industrial
  Anomaly Detection
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
Jeeho Hyun
Sangyun Kim
Giyoung Jeon
Seung Hwan Kim
Kyunghoon Bae
Byungjin Kang
UQCV
90
43
0
26 May 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
67
27
0
15 May 2023
Set Features for Fine-grained Anomaly Detection
Set Features for Fine-grained Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
AI4TS
54
15
0
23 Feb 2023
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
87
137
0
14 Oct 2022
Leveraging GAN Priors for Few-Shot Part Segmentation
Leveraging GAN Priors for Few-Shot Part Segmentation
M. Han
Heliang Zheng
Chaoyue Wang
Yong Luo
Han Hu
Bo Du
64
6
0
27 Jul 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot
  Segmentation
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Sunghwan Hong
Seokju Cho
Jisu Nam
Stephen Lin
Seung Wook Kim
ViT
67
130
0
22 Jul 2022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented
  Anomaly Localization
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
Sungwook Lee
Seunghyun Lee
B. Song
73
192
0
09 Jun 2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Yuchao Wang
Haochen Wang
Yujun Shen
Jingjing Fei
Wei Li
Guoqiang Jin
Liwei Wu
Rui Zhao
Xinyi Le
UQCV
52
343
0
08 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
179
472
0
26 Jan 2022
Uncertainty-Aware Semi-Supervised Few Shot Segmentation
Uncertainty-Aware Semi-Supervised Few Shot Segmentation
Soopil Kim
Philip Chikontwe
Sang Hyun Park
60
14
0
18 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
82
608
0
17 Aug 2021
Towards Total Recall in Industrial Anomaly Detection
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth
Latha Pemula
J. Zepeda
Bernhard Schölkopf
Thomas Brox
Peter V. Gehler
UQCV
80
907
0
15 Jun 2021
Unsupervised Co-part Segmentation through Assembly
Unsupervised Co-part Segmentation through Assembly
Qingzhe Gao
Bin Wang
Libin Liu
Baoquan Chen
47
13
0
10 Jun 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and
  Localization
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li
Kihyuk Sohn
Jinsung Yoon
Tomas Pfister
SSL
UQCV
76
774
0
08 Apr 2021
Repurposing GANs for One-shot Semantic Part Segmentation
Repurposing GANs for One-shot Semantic Part Segmentation
Nontawat Tritrong
Pitchaporn Rewatbowornwong
Supasorn Suwajanakorn
76
109
0
07 Mar 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Malik Boudiaf
H. Kervadec
Imtiaz Masud Ziko
Pablo Piantanida
Ismail Ben Ayed
Jose Dolz
VLM
225
190
0
11 Dec 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and
  Localization
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
Thomas Defard
Aleksandr Setkov
Angélique Loesch
Romaric Audigier
UQCV
75
837
0
17 Nov 2020
Motion-supervised Co-Part Segmentation
Motion-supervised Co-Part Segmentation
Aliaksandr Siarohin
Subhankar Roy
Stéphane Lathuilière
Sergey Tulyakov
Elisa Ricci
N. Sebe
SSL
41
35
0
07 Apr 2020
Uninformed Students: Student-Teacher Anomaly Detection with
  Discriminative Latent Embeddings
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
Paul Bergmann
Michael Fauser
David Sattlegger
C. Steger
72
663
0
06 Nov 2019
SCOPS: Self-Supervised Co-Part Segmentation
SCOPS: Self-Supervised Co-Part Segmentation
Wei-Chih Hung
Varun Jampani
Sifei Liu
Pavlo Molchanov
Ming-Hsuan Yang
Jan Kautz
77
140
0
03 May 2019
Few-shot 3D Multi-modal Medical Image Segmentation using Generative
  Adversarial Learning
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Arnab Kumar Mondal
Jose Dolz
Christian Desrosiers
GAN
MedIm
64
120
0
29 Oct 2018
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
136
1,966
0
18 Sep 2018
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSeg
VLM
85
703
0
11 Sep 2017
Detect What You Can: Detecting and Representing Objects using Holistic
  Models and Body Parts
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
Xianjie Chen
Roozbeh Mottaghi
Xiaobai Liu
Sanja Fidler
R. Urtasun
Alan Yuille
96
640
0
08 Jun 2014
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