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Mendeley readers
| Chapter title |
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
|
|---|---|
| Chapter number | 23 |
| Book title |
Computer Vision – ECCV 2014
|
| Published by |
Springer, Cham, September 2014
|
| DOI | 10.1007/978-3-319-10584-0_23 |
| Book ISBNs |
978-3-31-910583-3, 978-3-31-910584-0
|
| Authors |
Saurabh Gupta, Ross Girshick, Pablo Arbeláez, Jitendra Malik, Gupta, Saurabh, Girshick, Ross, Arbeláez, Pablo, Malik, Jitendra |
Mendeley readers
The data shown below were compiled from readership statistics for 1,115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | <1% |
| China | 5 | <1% |
| Germany | 3 | <1% |
| Australia | 3 | <1% |
| France | 3 | <1% |
| United Kingdom | 3 | <1% |
| Hong Kong | 2 | <1% |
| Ireland | 2 | <1% |
| Poland | 2 | <1% |
| Other | 10 | <1% |
| Unknown | 1075 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 323 | 29% |
| Student > Master | 251 | 23% |
| Researcher | 103 | 9% |
| Student > Bachelor | 91 | 8% |
| Student > Doctoral Student | 47 | 4% |
| Other | 117 | 10% |
| Unknown | 183 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 555 | 50% |
| Engineering | 260 | 23% |
| Agricultural and Biological Sciences | 13 | 1% |
| Earth and Planetary Sciences | 10 | <1% |
| Neuroscience | 8 | <1% |
| Other | 46 | 4% |
| Unknown | 223 | 20% |