ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.06504
  4. Cited By
SCL-VI: Self-supervised Context Learning for Visual Inspection of
  Industrial Defects
v1v2 (latest)

SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects

11 November 2023
Peng Wang
Haiming Yao
Wenyong Yu
ArXiv (abs)PDFHTML

Papers citing "SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects"

15 / 15 papers shown
Title
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
71
57
0
29 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
83
848
0
17 Nov 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Jihun Yi
Sungroh Yoon
168
385
0
29 Jun 2020
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Niv Cohen
Yedid Hoshen
94
478
0
05 May 2020
Iterative energy-based projection on a normal data manifold for anomaly
  localization
Iterative energy-based projection on a normal data manifold for anomaly localization
David Dehaene
Oriel Frigo
Sébastien Combrexelle
P. Eline
53
145
0
10 Feb 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
89
666
0
06 Nov 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep
  Autoencoder for Unsupervised Anomaly Detection
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
Dong Gong
Lingqiao Liu
Vuong Le
Budhaditya Saha
M. Mansour
Svetha Venkatesh
Anton Van Den Hengel
UQCV
61
1,273
0
04 Apr 2019
Improving Unsupervised Defect Segmentation by Applying Structural
  Similarity to Autoencoders
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
Paul Bergmann
Sindy Löwe
Michael Fauser
David Sattlegger
C. Steger
93
669
0
05 Jul 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
267
3,300
0
21 Mar 2018
Time-Contrastive Networks: Self-Supervised Learning from Video
Time-Contrastive Networks: Self-Supervised Learning from Video
P. Sermanet
Corey Lynch
Yevgen Chebotar
Jasmine Hsu
Eric Jang
S. Schaal
Sergey Levine
SSL
114
830
0
23 Apr 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to
  Guide Marker Discovery
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedImGAN
112
2,233
0
17 Mar 2017
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
69
5,300
0
25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
180
2,986
0
30 Mar 2016
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
169
2,792
0
19 May 2015
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
286
12,460
0
24 Jun 2012
1