MAEDAY: MAE for few and zero shot AnomalY-Detection

25 November 2022

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

6 / 6 papers shown

Title
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Peijian Zeng Feiyan Pang Zhanbo Wang Aimin Yang 68 0 0 28 Apr 2025
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 27 2 0 07 Mar 2024
Segment Any Anomaly without Training via Hybrid Prompt Regularization Yunkang Cao Xiaohao Xu Chen Sun Y. Cheng Zongwei Du Liang Gao Weiming Shen VLM 24 69 0 18 May 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis Andrei-Timotei Ardelean Tim Weyrich 21 4 0 13 Apr 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
FOD-A: A Dataset for Foreign Object Debris in Airports Travis J. E. Munyer Pei-Chi Huang Chenyu Huang Xin Zhong 16 23 0 06 Oct 2021