RJ-TinyViT: an efficient vision transformer for red jujube defect classification

RJ-TinyViT: an efficient vision transformer for red jujube defect classification

Abstract Compared to the surface defect detection of industrial products produced according to specified processes, the detection of surface defects in naturally grown red jujubes poses unique and significant challenges for researchers. The high diversity of surface defects, subtle distinctions from...

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Bibliographic Details
Main Authors: Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Surface defect detection
Red Jujube
Deep learning
Coordinate attention
Vision Transformer
Online Access:https://doi.org/10.1038/s41598-024-77333-6
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https://doi.org/10.1038/s41598-024-77333-6

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