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Timeline
Mendeley readers
Chapter title |
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization
|
---|---|
Chapter number | 27 |
Book title |
Computer Vision – ECCV 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-19821-2_27 |
Book ISBNs |
978-3-03-119820-5, 978-3-03-119821-2
|
Authors |
Schlüter, Hannah M., Tan, Jeremy, Hou, Benjamin, Kainz, Bernhard |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 22% |
Student > Master | 3 | 7% |
Researcher | 2 | 4% |
Student > Bachelor | 2 | 4% |
Student > Doctoral Student | 2 | 4% |
Other | 2 | 4% |
Unknown | 24 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 27% |
Engineering | 7 | 16% |
Unspecified | 1 | 2% |
Unknown | 25 | 56% |