CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution

CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution

Table detection is a preliminary step in extracting reliable information from tables in scanned document images. We present CasTabDetectoRS, a novel end-to-end trainable table detection framework that operates on Cascade Mask R-CNN, including Recursive Feature Pyramid network and Switchable Atrous C...

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Bibliographic Details
Main Authors: Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Journal of Imaging
Subjects:
table detection
table recognition
cascade Mask R-CNN
atrous convolution
recursive feature pyramid networks
document image analysis
Online Access:https://www.mdpi.com/2313-433X/7/10/214

Internet

https://www.mdpi.com/2313-433X/7/10/214

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