ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection

1 July 2024

Papers citing "ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection"

5 / 5 papers shown

Title
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects Paul J. Krassnig Dieter P. Gruber 71 0 0 06 Mar 2025
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 440 0 26 Jan 2022
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 118 125 0 30 Sep 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 100 160 0 28 Apr 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 73 280 0 20 Apr 2021