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Mendeley readers
Chapter title |
AugGAN: Cross Domain Adaptation with GAN-Based Data Augmentation
|
---|---|
Chapter number | 44 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01240-3_44 |
Book ISBNs |
978-3-03-001239-7, 978-3-03-001240-3
|
Authors |
Sheng-Wei Huang, Che-Tsung Lin, Shu-Ping Chen, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai, Huang, Sheng-Wei, Lin, Che-Tsung, Chen, Shu-Ping, Wu, Yen-Yi, Hsu, Po-Hao, Lai, Shang-Hong |
Mendeley readers
The data shown below were compiled from readership statistics for 308 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 308 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 56 | 18% |
Student > Master | 49 | 16% |
Researcher | 36 | 12% |
Student > Bachelor | 17 | 6% |
Student > Doctoral Student | 13 | 4% |
Other | 29 | 9% |
Unknown | 108 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 149 | 48% |
Engineering | 35 | 11% |
Economics, Econometrics and Finance | 2 | <1% |
Environmental Science | 2 | <1% |
Materials Science | 2 | <1% |
Other | 8 | 3% |
Unknown | 110 | 36% |