Generalizable Industrial Visual Anomaly Detection with Self-Induction Vision Transformer

22 November 2022

Papers citing "Generalizable Industrial Visual Anomaly Detection with Self-Induction Vision Transformer"

6 / 6 papers shown

Title
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines Renjith Prasad Chathurangi Shyalika Ramtin Zand Fadi El Kalach R. Venkataramanan R. Harik Amit P. Sheth 25 1 0 05 Aug 2024
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection Jiangning Zhang Xuhai Chen Yabiao Wang Chengjie Wang Yong Liu Xiangtai Li Ming-Hsuan Yang Dacheng Tao 25 24 0 12 Dec 2023
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection Haiming Yao Wenyong Yu Wei Luo Zhenfeng Qiang Donghao Luo Xiaotian Zhang 29 21 0 10 Mar 2023
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector Haiming Yao Xue Wang Wenyong Yu 22 9 0 01 Nov 2022
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
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 104 165 0 28 Apr 2021