M<sup>6</sup>Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis-Reference-Cited by-同舟云学术

M⁶Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Cheng Hiuyi¹,Zhang Peirong¹,Wu Sihang²,Zhang Jiaxin¹,Zhu Qiyuan²,Xie Zecheng²,Li Jing²,Ding Kai³,Jin Lianwen¹

Affiliation:

1. South China University of Technology

2. Huawei Cloud Computing Technologies Co., Ltd.

3. IntSig Information Co., Ltd.

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204535.pdf?arnumber=10204535

Reference45 articles.

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3. ultralytics/yolov5: v6. 0-YOLOv5n “Nano” models;jocher;Roboflow integration TensorFlow export OpenCV DNN support (v6 0) [Computer software] Zenodo,2021

4. Page Segmentation using a Convolutional Neural Network with Trainable Co-Occurrence Features

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