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Mendeley readers
Chapter title |
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-Level Features for Large-Scale Video Classification
|
---|---|
Chapter number | 19 |
Book title |
Computer Vision – ECCV 2018 Workshops
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-11018-5_19 |
Book ISBNs |
978-3-03-011017-8, 978-3-03-011018-5
|
Authors |
Rongcheng Lin, Jing Xiao, Jianping Fan |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 183 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 34 | 19% |
Student > Ph. D. Student | 20 | 11% |
Student > Bachelor | 14 | 8% |
Researcher | 11 | 6% |
Student > Postgraduate | 10 | 5% |
Other | 17 | 9% |
Unknown | 77 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 87 | 48% |
Engineering | 12 | 7% |
Mathematics | 3 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | <1% |
Business, Management and Accounting | 1 | <1% |
Other | 4 | 2% |
Unknown | 75 | 41% |