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se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Overview of attention for article published in this source, January 2021
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9 X users
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8 patents

Readers on

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100 Mendeley
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Article details
Title
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Published by
Institute of Electrical and Electronics Engineers (IEEE), January 2021
DOI 10.1109/iros45743.2020.9341314
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 20 20%
Student > Ph. D. Student 14 14%
Student > Bachelor 9 9%
Student > Doctoral Student 5 5%
Researcher 5 5%
Other 6 6%
Unknown 41 41%
Readers by discipline
Readers by discipline Count As %
Computer Science 37 37%
Engineering 17 17%
Mathematics 2 2%
Arts and Humanities 1 1%
Social Sciences 1 1%
Other 0 0%
Unknown 42 42%