A Domain-Adaptive Segmentation Method Based on Segment Anything Model for Mechanical Assembly

Jinlei Wang; Chengjun Chen; Chenggang Dai; Jun Hong

doi:10.1016/j.measurement.2024.114901

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JOURNAL ARTICLE

A Domain-Adaptive Segmentation Method Based on Segment Anything Model for Mechanical Assembly

Jinlei Wang Chengjun Chen Chenggang Dai Jun Hong

Year: 2024 Journal: Measurement Vol: 235 Pages: 114901-114901 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2024.114901

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Keywords:

Segmentation Computer science Discriminator Artificial intelligence Process (computing) Enhanced Data Rates for GSM Evolution Domain (mathematical analysis) Pattern recognition (psychology) Feature (linguistics) Computer vision

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

A Domain-Adaptive Segmentation Method Based on Segment Anything Model for Mechanical Assembly

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Citation History

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