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. 2211.14307
  4. Cited By
MAEDAY: MAE for few and zero shot AnomalY-Detection
v1v2 (latest)

MAEDAY: MAE for few and zero shot AnomalY-Detection

25 November 2022
Eli Schwartz
Assaf Arbelle
Leonid Karlinsky
Sivan Harary
Florian Scheidegger
Sivan Doveh
Raja Giryes
    ViTUQCV
ArXiv (abs)PDFHTMLGithub (13★)

Papers citing "MAEDAY: MAE for few and zero shot AnomalY-Detection"

12 / 12 papers shown
Title
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection
  and Segmentation
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Yang Zou
Jongheon Jeong
Latha Pemula
Dongqing Zhang
Onkar Dabeer
95
309
0
28 Jul 2022
Registration based Few-Shot Anomaly Detection
Registration based Few-Shot Anomaly Detection
Chaoqin Huang
Haoyan Guan
Aofan Jiang
Ya Zhang
Michael W. Spratling
Yanfeng Wang
77
147
0
15 Jul 2022
FastFlow: Unsupervised Anomaly Detection and Localization via 2D
  Normalizing Flows
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
Jiawei Yu1
Ye Zheng
Xiang Wang
Wei Li
Yushuang Wu
Rui Zhao
Liwei Wu
65
312
0
15 Nov 2021
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
ViTTPM
477
7,819
0
11 Nov 2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via
  Conditional Normalizing Flows
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
Denis A. Gudovskiy
Shun Ishizaka
Kazuki Kozuka
112
404
0
27 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
490
10,496
0
17 Jun 2021
Towards Total Recall in Industrial Anomaly Detection
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth
Latha Pemula
J. Zepeda
Bernhard Schölkopf
Thomas Brox
Peter V. Gehler
UQCV
88
919
0
15 Jun 2021
A Hierarchical Transformation-Discriminating Generative Model for Few
  Shot Anomaly Detection
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection
Shelly Sheynin
Sagie Benaim
Lior Wolf
54
81
0
29 Apr 2021
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
79
847
0
17 Nov 2020
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
45
563
0
17 Feb 2018
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
378
7,333
0
13 Jun 2016
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
322
4,196
0
21 May 2015
1