Table Structure Recognition Method Based on Lightweight Network and Channel Attention

Table Structure Recognition Method Based on Lightweight Network and Channel Attention

The table recognition model rows and columns aggregated network (RCANet) uses a semantic segmentation approach to recognize table structure, and achieves better performance in table row and column segmentation. However, this model uses ResNet18 as the backbone network, and the model has 11.35 millio...

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Bibliographic Details
Main Authors: Tao Zhang, Yi Sui, Shunyao Wu, Fengjing Shao, Rencheng Sun
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
table structure recognition
deep learning
SE module
lightweight network
Online Access:https://www.mdpi.com/2079-9292/12/3/673

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