Name
Abstract | ||
|---|---|---|
Face verification can be regarded as a two-class fine-grained visual-recognition problem. Enhancing the feature’s discriminative power is one of the key problems to improve its performance. Metric-learning technology is often applied to address this need while achieving a good tradeoff between underfitting, and overfitting plays a vital role in metric learning. Hence, we propose a novel ensemble c... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCYB.2020.2996207 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Face,Measurement,Covariance matrices,Closed-form solutions,Visualization,Task analysis,Training | Journal | 52 |
Issue | ISSN | Citations |
3 | 2168-2267 | 1 |
PageRank | References | Authors |
0.35 | 23 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiong Fu | 1 | 9 | 2.65 |
| Yang Xiao | 2 | 237 | 26.58 |
| Zhiguo Cao | 3 | 314 | 44.17 |
| Wang Yancheng | 4 | 2 | 2.06 |
| Joey Tianyi Zhou | 5 | 354 | 38.60 |
| Jianxin Wu | 6 | 3276 | 154.17 |