Estate: Expert-Guided State Text Enhancement for Zero-Shot Industrial Anomaly Detection

Bingke Zhu; Hao Li; Chen Chang-lin; Liujie Hua; Jinqiao Wang

doi:10.1109/icip51287.2024.10648048

ScienceGate Book Chapters

JOURNAL ARTICLE

Estate: Expert-Guided State Text Enhancement for Zero-Shot Industrial Anomaly Detection

Bingke Zhu Hao Li Chen Chang-lin Liujie Hua Jinqiao Wang

Year: 2024 Pages: 1281-1287

DOI: 10.1109/icip51287.2024.10648048

Get Full-Text PDF Get Analytical Report

Keywords:

Anomaly detection Zero (linguistics) Shot (pellet) Anomaly (physics) State (computer science) Estate Computer science Artificial intelligence Physics Algorithm Business Materials science Condensed matter physics Finance Linguistics

Metrics

Cited By

1.28

FWCI (Field Weighted Citation Impact)

Refs

0.78

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Digital and Cyber Forensics

Physical Sciences → Computer Science → Information Systems

Occupational Health and Safety Research

Health Sciences → Health Professions → Radiological and Ultrasound Technology

Estate: Expert-Guided State Text Enhancement for Zero-Shot Industrial Anomaly Detection

Metrics

Citation History

Topics

Related Documents

V2TCASA: Vision to text class-agnostic state-agnostic for industrial zero-shot anomaly detection

DDE-CLIP: Detail-Guided Dual-Modal Enhancement for Zero-Shot Anomaly Detection

Few-Shot Industrial Anomaly Detection Based on Text-Guided Image Feature Synthesis

PromptAD: Zero-shot Anomaly Detection using Text Prompts

Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection