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 |
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
|
---|---|
Chapter number | 8 |
Book title |
Computer Vision – ECCV 2022
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-19818-2_8 |
Book ISBNs |
978-3-03-119817-5, 978-3-03-119818-2
|
Authors |
Zhang, Lingzhi, Zhou, Shenghao, Stent, Simon, Shi, Jianbo |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 37% |
Student > Master | 5 | 19% |
Professor | 1 | 4% |
Student > Bachelor | 1 | 4% |
Professor > Associate Professor | 1 | 4% |
Other | 1 | 4% |
Unknown | 8 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 52% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Engineering | 1 | 4% |
Unknown | 11 | 41% |