Name
Abstract | ||
|---|---|---|
Recent learning-based image retargeting methods have achieved significant improvement. However, two main is-sues remain in this challenging task: (i) it is difficult to build ground truth datasets for supervised learning; (ii) most methods are based on a certain operator, not suitable for various images with different target sizes. In this paper, for the first time, we address these issues by prov... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICME51207.2021.9428129 | 2021 IEEE International Conference on Multimedia and Expo (ICME) |
Keywords | DocType | ISBN |
Deformable models,Conferences,Supervised learning,Quality assessment,Task analysis,Strain | Conference | 978-1-6654-3864-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yijing Mei | 1 | 0 | 0.34 |
| Xiaojie Guo | 2 | 668 | 40.94 |
| Di Sun | 3 | 7 | 5.86 |
| Gang Pan | 4 | 0 | 1.35 |
| Zhang Jiawan | 5 | 369 | 46.66 |