Work

Supad: a superordinary zero-shot industrial anomaly detection network based on gated-agnostic multimodal adaptive learning prompts

Year: 2026

Type: article

Source: Journal of Intelligent Manufacturing

DOI: 10.1007/s10845-025-02757-4

Authors: Xinying Li, Junfeng Jing, Tong Wu, Xin Zhang, Wei Liu

Institution: Xi'an Polytechnic University

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: Innovative Research Group Project of the National Natural Science Foundation of China, Scientific Research Plan Projects of Shaanxi Education Department, Key Research and Development Projects of Shaanxi Province

Awards: G4392654871, G6910976456, G7911384715

OpenAlex ID: W7118449402

FWCI: 8.399

Cites: 42

Cited by: 2

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