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 |
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
|
---|---|
Chapter number | 11 |
Book title |
Computer Vision – ECCV 2020
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-58536-5_11 |
Book ISBNs |
978-3-03-058535-8, 978-3-03-058536-5
|
Authors |
Yuan, Zhihang, Wu, Bingzhe, Sun, Guangyu, Liang, Zheng, Zhao, Shiwan, Bi, Weichen |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 112 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 21% |
Student > Master | 19 | 17% |
Researcher | 9 | 8% |
Student > Bachelor | 5 | 4% |
Student > Doctoral Student | 3 | 3% |
Other | 2 | 2% |
Unknown | 51 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 48 | 43% |
Engineering | 7 | 6% |
Agricultural and Biological Sciences | 1 | <1% |
Mathematics | 1 | <1% |
Economics, Econometrics and Finance | 1 | <1% |
Other | 1 | <1% |
Unknown | 53 | 47% |