Name
Title | ||
|---|---|---|
Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning. |
Abstract | ||
|---|---|---|
Two key challenges lie in the facial attractiveness computation research: the lack of discriminative face representations, and the scarcity of sufficient and complete training data. Motivated by recent promising work in face recognition using deep neural networks to learn effective features, the first challenge is expected to be addressed from a deep learning point of view. A very deep residual ne... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMM.2017.2780762 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Face,Feature extraction,Image color analysis,Computer architecture,Computational modeling,Training data | Residual,Facial recognition system,Pattern recognition,Computer science,Supervised learning,Automatic learning,Attractiveness,Artificial intelligence,Deep learning,Deep neural networks,Machine learning,Computation | Journal |
Volume | Issue | ISSN |
20 | 8 | 1520-9210 |
Citations | PageRank | References |
1 | 0.41 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang-Yu Fan | 1 | 25 | 2.81 |
| Shu Liu | 2 | 134 | 18.46 |
| Bo Li | 3 | 206 | 42.46 |
| Zhe Guo | 4 | 2 | 1.76 |
| A Samal | 5 | 1033 | 213.54 |
| Jun Wan | 6 | 255 | 22.37 |
| Stan Z. Li | 7 | 8951 | 535.26 |