Prompt engineering for zero‐shot and few‐shot defect detection and classification using a visual‐language pretrained model-Reference-Cited by-同舟云学术

Prompt engineering for zero‐shot and few‐shot defect detection and classification using a visual‐language pretrained model

Published:2022-11-28 Issue: Volume: Page:
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer aided Civil Eng

Author:

Yong Gunwoo¹^ORCID,Jeon Kahyun¹,Gil Daeyoung¹,Lee Ghang¹

Affiliation:

1. Building Informatics Group, Department of Architecture and Architectural Engineering Yonsei University Seoul South Korea

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12954

Reference126 articles.

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3. Structural health monitoring using extremely compressed data through deep learning

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