You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Domain Adaptation Through Synthesis for Unsupervised Person Re-identification
|
---|---|
Chapter number | 12 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01261-8_12 |
Book ISBNs |
978-3-03-001260-1, 978-3-03-001261-8
|
Authors |
Sławomir Bąk, Peter Carr, Jean-François Lalonde, Bąk, Sławomir, Carr, Peter, Lalonde, Jean-François |
Mendeley readers
The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 250 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 51 | 20% |
Student > Master | 48 | 19% |
Researcher | 18 | 7% |
Student > Doctoral Student | 11 | 4% |
Student > Postgraduate | 10 | 4% |
Other | 29 | 12% |
Unknown | 83 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 126 | 50% |
Engineering | 21 | 8% |
Mathematics | 3 | 1% |
Agricultural and Biological Sciences | 2 | <1% |
Unspecified | 2 | <1% |
Other | 6 | 2% |
Unknown | 90 | 36% |