Industrial Anomaly Detection and Localization Using Weakly-Supervised
Residual Transformers

Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers

6 June 2023

Lin Yuanbo Wu

Hao Chen

Peng Wang

Papers citing "Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers"

7 / 7 papers shown

Title
A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation Hanxi Li Zhengxun Zhang Hao Chen Lin Wu Bo Li Deyin Liu Mingwen Wang 20 2 0 29 Feb 2024
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 64 219 0 27 Mar 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 170 251 0 15 May 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 98 299 0 26 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 70 194 0 20 Apr 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014