code.zip

URL: https://data.uni-hannover.de/dataset/ef96d2db-9cbe-4738-b7bf-da556e12bdc2/resource/106f7149-6161-4117-893a-44990c05cbe4/download/code.zip

From the dataset abstract

A Neural Approach for Text Extraction from Scholarly Figures This is the readme for the supplemental data for our ICDAR 2019 paper. You can read our paper via IEEE here:...

Source: A Neural Approach for Text Extraction from Scholarly Figures

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Cite this as

David Morris, Peichen Tang, and Ralph Ewerth (2019). Dataset: A Neural Approach for Text Extraction from Scholarly Figures. Resource: code.zip. https://doi.org/10.25835/0030443

DOI retrieved: 17:06 12 Apr 2021 (GMT)

Additional Information

Field Value
Data last updated June 27, 2019
Metadata last updated unknown
Created unknown
Format ZIP
License Creative Commons Attribution 3.0
Createdover 1 year ago
Media typeapplication/zip
Size798,357,692
formatZIP
id106f7149-6161-4117-893a-44990c05cbe4
last modifiedover 1 year ago
on same domainTrue
package idef96d2db-9cbe-4738-b7bf-da556e12bdc2
revision idd5992c37-c357-4da6-a4a7-daf0bcc4fce5
stateactive
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