Name
Abstract | ||
|---|---|---|
Directly benefited from deep learning techniques, depth estimation from single image has gained great momentum in recent years. However, most of the existing approaches treat depth prediction as an isolated problem without taking into consideration high-level semantic context information, which results in inefficient utilization of training dataset and unavoidably requires a large number of captur... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TMM.2019.2941776 | IEEE Transactions on Multimedia |
Keywords | DocType | Volume |
Estimation,Semantics,Training,Task analysis,Feature extraction,Decoding,Convolution | Journal | 22 |
Issue | ISSN | Citations |
5 | 1520-9210 | 1 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenfeng Song | 1 | 9 | 5.22 |
| Shuai Li | 2 | 175 | 31.37 |
| Ji Liu | 3 | 15 | 5.59 |
| Aimin Hao | 4 | 183 | 40.57 |
| Qinping Zhao | 5 | 363 | 43.20 |
| Hong Qin | 6 | 2120 | 184.31 |