Name
Abstract | ||
|---|---|---|
In this paper, we propose a design scheme for deep learning networks in the face parsing task with promising accuracy and real-time inference speed. By analyzing the differences between the general image parsing task and face parsing task, we first revisit the structure of traditional FCN and make improvements to adapt to the unique properties of the face parsing task. Especially, the concept of N... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2019.2909652 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Face,Task analysis,Deep learning,Real-time systems,Knowledge engineering,Training,Hair | Normalization (statistics),Task analysis,Pattern recognition,Inference,Artificial intelligence,Acceleration,Knowledge engineering,Deep learning,Parsing,Image parsing,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 9 | 1057-7149 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Wei | 1 | 24 | 4.09 |
| Si Liu | 2 | 1891 | 86.89 |
| Yao Sun | 3 | 179 | 38.32 |
| Hefei Ling | 4 | 241 | 39.63 |