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End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection

End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection

21 June 2023
Jaemin Yoo
Lingxiao Zhao
L. Akoglu
ArXivPDFHTML

Papers citing "End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection"

4 / 4 papers shown
Title
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision
  for Unsupervised Anomaly Detection is Creating the Illusion of Success
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success
Jaemin Yoo
Tianchen Zhao
L. Akoglu
43
7
0
16 Aug 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
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
78
208
0
06 Oct 2021
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
138
7,335
0
05 Jun 2015
1