Name
Abstract | ||
|---|---|---|
•We propose a ranking loss regularization for large-scale face recognition by reducing uncertainties during the training phase.•This work studies the effect of relabeling mechanism by integrating ranking loss with the ArcFace loss function.•This work demonstrates the effectiveness of the proposed method through experiments on public face recognition benchmarks. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patrec.2022.06.004 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Uncertainty learning,Ranking loss,Relabeling mechanism,Face recognition, | Journal | 160 |
ISSN | Citations | PageRank |
0167-8655 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abhijeet Boragule | 1 | 0 | 0.34 |
| Hamna Akram | 2 | 0 | 0.34 |
| Jeongbae Kim | 3 | 0 | 0.34 |
| Moongu Jeon | 4 | 456 | 72.81 |