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 |
Predicting Future Instance Segmentation by Forecasting Convolutional Features
|
---|---|
Chapter number | 36 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01240-3_36 |
Book ISBNs |
978-3-03-001239-7, 978-3-03-001240-3
|
Authors |
Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek, Luc, Pauline, Couprie, Camille, LeCun, Yann, Verbeek, Jakob |
Mendeley readers
The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 251 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 56 | 22% |
Student > Master | 42 | 17% |
Researcher | 33 | 13% |
Student > Bachelor | 12 | 5% |
Student > Doctoral Student | 8 | 3% |
Other | 21 | 8% |
Unknown | 79 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 133 | 53% |
Engineering | 27 | 11% |
Mathematics | 2 | <1% |
Earth and Planetary Sciences | 2 | <1% |
Agricultural and Biological Sciences | 1 | <1% |
Other | 5 | 2% |
Unknown | 81 | 32% |