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Mendeley readers
Chapter title |
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
|
---|---|
Chapter number | 37 |
Book title |
Computer Vision – ECCV 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-20083-0_37 |
Book ISBNs |
978-3-03-120082-3, 978-3-03-120083-0
|
Authors |
Kong, Zhenglun, Dong, Peiyan, Ma, Xiaolong, Meng, Xin, Niu, Wei, Sun, Mengshu, Shen, Xuan, Yuan, Geng, Ren, Bin, Tang, Hao, Qin, Minghai, Wang, Yanzhi |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 98 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 20% |
Student > Master | 11 | 11% |
Researcher | 8 | 8% |
Student > Doctoral Student | 5 | 5% |
Student > Bachelor | 3 | 3% |
Other | 5 | 5% |
Unknown | 46 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 34 | 35% |
Engineering | 9 | 9% |
Agricultural and Biological Sciences | 2 | 2% |
Unspecified | 2 | 2% |
Medicine and Dentistry | 1 | 1% |
Other | 1 | 1% |
Unknown | 49 | 50% |