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Mendeley readers
Chapter title |
MOTR: End-to-End Multiple-Object Tracking with Transformer
|
---|---|
Chapter number | 38 |
Book title |
Computer Vision – ECCV 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-19812-0_38 |
Book ISBNs |
978-3-03-119811-3, 978-3-03-119812-0
|
Authors |
Zeng, Fangao, Dong, Bin, Zhang, Yuang, Wang, Tiancai, Zhang, Xiangyu, Wei, Yichen |
Mendeley readers
The data shown below were compiled from readership statistics for 308 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 308 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 48 | 16% |
Student > Ph. D. Student | 38 | 12% |
Researcher | 28 | 9% |
Student > Bachelor | 11 | 4% |
Other | 8 | 3% |
Other | 23 | 7% |
Unknown | 152 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 109 | 35% |
Engineering | 21 | 7% |
Physics and Astronomy | 3 | <1% |
Mathematics | 2 | <1% |
Agricultural and Biological Sciences | 2 | <1% |
Other | 5 | 2% |
Unknown | 166 | 54% |