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 |
Self-Supervised Relative Depth Learning for Urban Scene Understanding
|
---|---|
Chapter number | 2 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01252-6_2 |
Book ISBNs |
978-3-03-001251-9, 978-3-03-001252-6
|
Authors |
Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik Learned-Miller, Jiang, Huaizu, Larsson, Gustav, Maire, Michael, Shakhnarovich, Greg, Learned-Miller, Erik |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 211 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 50 | 24% |
Student > Master | 41 | 19% |
Researcher | 22 | 10% |
Student > Bachelor | 17 | 8% |
Student > Doctoral Student | 12 | 6% |
Other | 15 | 7% |
Unknown | 54 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 115 | 55% |
Engineering | 23 | 11% |
Agricultural and Biological Sciences | 4 | 2% |
Mathematics | 2 | <1% |
Economics, Econometrics and Finance | 2 | <1% |
Other | 7 | 3% |
Unknown | 58 | 27% |