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Mendeley readers
Chapter title |
Self-challenging Improves Cross-Domain Generalization
|
---|---|
Chapter number | 8 |
Book title |
Computer Vision – ECCV 2020
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-58536-5_8 |
Book ISBNs |
978-3-03-058535-8, 978-3-03-058536-5
|
Authors |
Huang, Zeyi, Wang, Haohan, Xing, Eric P., Huang, Dong |
Mendeley readers
The data shown below were compiled from readership statistics for 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 275 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 56 | 20% |
Student > Master | 41 | 15% |
Student > Bachelor | 16 | 6% |
Researcher | 16 | 6% |
Student > Postgraduate | 9 | 3% |
Other | 18 | 7% |
Unknown | 119 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 120 | 44% |
Engineering | 21 | 8% |
Agricultural and Biological Sciences | 1 | <1% |
Economics, Econometrics and Finance | 1 | <1% |
Mathematics | 1 | <1% |
Other | 4 | 1% |
Unknown | 127 | 46% |