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Mendeley readers
Chapter title |
Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization
|
---|---|
Chapter number | 30 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01228-1_30 |
Book ISBNs |
978-3-03-001227-4, 978-3-03-001228-1
|
Authors |
Kuang-Jui Hsu, Chung-Chi Tsai, Yen-Yu Lin, Xiaoning Qian, Yung-Yu Chuang, Hsu, Kuang-Jui, Tsai, Chung-Chi, Lin, Yen-Yu, Qian, Xiaoning, Chuang, Yung-Yu |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 128 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 16% |
Student > Master | 19 | 15% |
Researcher | 11 | 9% |
Student > Bachelor | 9 | 7% |
Student > Doctoral Student | 6 | 5% |
Other | 12 | 9% |
Unknown | 50 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 63 | 49% |
Engineering | 7 | 5% |
Mathematics | 3 | 2% |
Economics, Econometrics and Finance | 1 | <1% |
Agricultural and Biological Sciences | 1 | <1% |
Other | 2 | 2% |
Unknown | 51 | 40% |