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Timeline
Attention over time
Attention Score history
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Mendeley demographics
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| Title |
See-Through-Text Grouping for Referring Image Segmentation
|
|---|---|
| Published by |
Institute of Electrical and Electronics Engineers (IEEE), November 2019
|
| DOI | 10.1109/iccv.2019.00755 |
| Authors |
Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu |
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Mendeley demographics
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 143 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 20% |
| Student > Master | 24 | 17% |
| Student > Postgraduate | 9 | 6% |
| Researcher | 7 | 5% |
| Student > Bachelor | 6 | 4% |
| Other | 5 | 3% |
| Unknown | 64 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 67 | 47% |
| Engineering | 5 | 3% |
| Arts and Humanities | 1 | <1% |
| Economics, Econometrics and Finance | 1 | <1% |
| Unknown | 69 | 48% |