UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection

Visual Anomaly Detection (VAD) aims to identify abnormal samples in images that deviate from normal patterns, covering multiple domains, including industrial, logical, and medical fields. Due to the domain gaps between these fields, existing VAD methods are typically tailored to each domain, with sp...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Gu, Zhaopeng, Zhu, Bingke, Zhu, Guibo, Chen, Yingying, Tang, Ming, Wang, Jinqiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Clustering Image enhancement Modules
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!