A zero-shot anomaly detection method based on learnable text query

Yanan Song; Baisong Pan; Wenchao Yi; B. Zhang

doi:10.1007/s00138-025-01725-5

ScienceGate Book Chapters

JOURNAL ARTICLE

A zero-shot anomaly detection method based on learnable text query

Yanan Song Baisong Pan Wenchao Yi B. Zhang

Year: 2025 Journal: Machine Vision and Applications Vol: 36 (5) Publisher: Springer Science+Business Media

DOI: 10.1007/s00138-025-01725-5

Get Full-Text PDF Get Analytical Report

Keywords:

Zero (linguistics) Anomaly detection Computer science Anomaly (physics) Shot (pellet) Artificial intelligence Pattern recognition (psychology) Physics Materials science Linguistics Philosophy Quantum mechanics

Metrics

Cited By

4.82

FWCI (Field Weighted Citation Impact)

Refs

0.94

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

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

A zero-shot anomaly detection method based on learnable text query

Metrics

Citation History

Topics

Related Documents

PromptAD: Zero-shot Anomaly Detection using Text Prompts

AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection

DualPrompt-CLIP: Enhancing Zero-Shot Anomaly Detection by Learnable Prefix-Suffix Textual Context

DZAD: Diffusion-based Zero-shot Anomaly Detection

PTMNet: Pixel-Text Matching Network for Zero-Shot Anomaly Detection