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 |
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
|
---|---|
Chapter number | 6 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01216-8_6 |
Book ISBNs |
978-3-03-001215-1, 978-3-03-001216-8
|
Authors |
Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez, Saleh, Fatemeh Sadat, Aliakbarian, Mohammad Sadegh, Salzmann, Mathieu, Petersson, Lars, Alvarez, Jose M. |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 168 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 41 | 24% |
Student > Master | 32 | 19% |
Researcher | 16 | 10% |
Student > Bachelor | 9 | 5% |
Student > Postgraduate | 6 | 4% |
Other | 15 | 9% |
Unknown | 49 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 85 | 51% |
Engineering | 21 | 13% |
Materials Science | 3 | 2% |
Economics, Econometrics and Finance | 2 | 1% |
Physics and Astronomy | 2 | 1% |
Other | 2 | 1% |
Unknown | 53 | 32% |