Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

In the age of deep learning, researchers have looked at domain adaptation under the pre-training and fine-tuning paradigm to leverage the gains in the natural image domain. These backbones and subsequent networks are designed for object detection in the natural image domain. They do not consider som...

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Bibliographic Details
Main Authors: Sankalp Sinha, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
graphical page object detection
deep learning
computer vision
proposals
document image analysis
Online Access:https://www.mdpi.com/2076-3417/12/20/10578

Internet

https://www.mdpi.com/2076-3417/12/20/10578

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