CD-MAE: Contrastive Dual-Masked Autoencoder Pre-Training Model for PCB CT Image Element Segmentation

CD-MAE: Contrastive Dual-Masked Autoencoder Pre-Training Model for PCB CT Image Element Segmentation

Element detection is an important step in the process of the non-destructive testing of printed circuit boards (PCB) based on computed tomography (CT). Compared with the traditional manual detection method, the image semantic segmentation method based on deep learning greatly improves efficiency and...

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Bibliographic Details
Main Authors: Baojie Song, Jian Chen, Shuhao Shi, Jie Yang, Chen Chen, Kai Qiao, Bin Yan
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
unsupervised pre-training
image segmentation
PCB nondestructive testing
model finetuning
Online Access:https://www.mdpi.com/2079-9292/13/6/1006

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https://www.mdpi.com/2079-9292/13/6/1006

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