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SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast
  and Reliable Surface Defect Detection

SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection

6 August 2024
Blaž Rolih
Matic Fučka
Danijel Skočaj
ArXivPDFHTML

Papers citing "SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection"

4 / 4 papers shown
Title
A Survey on Industrial Anomalies Synthesis
A Survey on Industrial Anomalies Synthesis
Xichen Xu
Yanshu Wang
Yawen Huang
Jiaqi Liu
Xiaoning Lei
Guoyang Xie
Guannan Jiang
Zhichao Lu
39
1
0
23 Feb 2025
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu
Yiming Zhou
Yuansheng Xu
Zilei Wang
68
222
0
27 Mar 2023
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
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
100
163
0
28 Apr 2021
1