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Mendeley readers
Chapter title |
Unsupervised Hard Example Mining from Videos for Improved Object Detection
|
---|---|
Chapter number | 19 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01261-8_19 |
Book ISBNs |
978-3-03-001260-1, 978-3-03-001261-8
|
Authors |
SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik Learned-Miller, Jin, SouYoung, RoyChowdhury, Aruni, Jiang, Huaizu, Singh, Ashish, Prasad, Aditya, Chakraborty, Deep, Learned-Miller, Erik |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 198 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 36 | 18% |
Student > Ph. D. Student | 31 | 16% |
Researcher | 26 | 13% |
Other | 10 | 5% |
Student > Postgraduate | 7 | 4% |
Other | 19 | 10% |
Unknown | 69 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 96 | 48% |
Engineering | 24 | 12% |
Agricultural and Biological Sciences | 3 | 2% |
Physics and Astronomy | 2 | 1% |
Biochemistry, Genetics and Molecular Biology | 1 | <1% |
Other | 4 | 2% |
Unknown | 68 | 34% |