$FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation$

FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation

30 January 2023

Papers citing "FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation"

5 / 5 papers shown

Title
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 440 0 26 Jan 2022
Improving Fractal Pre-training Connor Anderson Ryan Farrell 80 27 0 06 Oct 2021
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
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 100 160 0 28 Apr 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 115 0 21 Jan 2021