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Timeline
Mendeley readers
Chapter title |
S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching
|
---|---|
Chapter number | 37 |
Book title |
Computer Vision – ECCV 2020
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-58580-8_37 |
Book ISBNs |
978-3-03-058579-2, 978-3-03-058580-8
|
Authors |
Germain, Hugo, Bourmaud, Guillaume, Lepetit, Vincent |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 70 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 16% |
Student > Master | 11 | 16% |
Researcher | 6 | 9% |
Student > Doctoral Student | 2 | 3% |
Student > Bachelor | 2 | 3% |
Other | 3 | 4% |
Unknown | 35 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 33% |
Engineering | 6 | 9% |
Economics, Econometrics and Finance | 1 | 1% |
Arts and Humanities | 1 | 1% |
Neuroscience | 1 | 1% |
Other | 1 | 1% |
Unknown | 37 | 53% |