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. 2311.02747
  4. Cited By
Attention Modules Improve Image-Level Anomaly Detection for Industrial
  Inspection: A DifferNet Case Study

Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study

5 November 2023
A. Silva
Francisco Simões
Danny Kowerko
Tobias Schlosser
Felipe Battisti
Veronica Teichrieb
ArXivPDFHTML

Papers citing "Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study"

2 / 2 papers shown
Title
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
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple
  adjacent brain MRI slice reconstruction
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han
L. Rundo
K. Murao
T. Noguchi
Yuki Shimahara
Z. '. Milacski
S. Koshino
Evis Sala
Hideki Nakayama
Shinichi Satoh
MedIm
86
159
0
24 Jul 2020
1