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 |
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions
|
---|---|
Chapter number | 4 |
Book title |
Computer Vision – ECCV 2020
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-58580-8_4 |
Book ISBNs |
978-3-03-058579-2, 978-3-03-058580-8
|
Authors |
Rusak, Evgenia, Schott, Lukas, Zimmermann, Roland S., Bitterwolf, Julian, Bringmann, Oliver, Bethge, Matthias, Brendel, Wieland |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 135 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 27 | 20% |
Student > Ph. D. Student | 25 | 19% |
Researcher | 9 | 7% |
Student > Bachelor | 5 | 4% |
Student > Postgraduate | 4 | 3% |
Other | 9 | 7% |
Unknown | 56 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 49 | 36% |
Engineering | 11 | 8% |
Neuroscience | 6 | 4% |
Mathematics | 2 | 1% |
Physics and Astronomy | 1 | <1% |
Other | 6 | 4% |
Unknown | 60 | 44% |