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Mendeley readers
Chapter title |
Feature Space Augmentation for Long-Tailed Data
|
---|---|
Chapter number | 41 |
Book title |
Computer Vision – ECCV 2020
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-58526-6_41 |
Book ISBNs |
978-3-03-058525-9, 978-3-03-058526-6
|
Authors |
Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling, Chu, Peng, Bian, Xiao, Liu, Shaopeng, Ling, Haibin |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 185 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 36 | 19% |
Student > Ph. D. Student | 31 | 17% |
Researcher | 13 | 7% |
Student > Bachelor | 8 | 4% |
Student > Doctoral Student | 6 | 3% |
Other | 6 | 3% |
Unknown | 85 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 82 | 44% |
Engineering | 6 | 3% |
Agricultural and Biological Sciences | 2 | 1% |
Economics, Econometrics and Finance | 2 | 1% |
Medicine and Dentistry | 2 | 1% |
Other | 1 | <1% |
Unknown | 90 | 49% |