Name
Abstract | ||
|---|---|---|
Face aging is a challenging research area in face recognition and verification. However, recognizing identical faces with an immense age gap gives rise to various difficulties because of the diversity in face appearance caused by aging. In real-world applications, the pre-training dataset is very limited (e.g only two age-invariant face images) are present for each identity. We define this term as... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IVCNZ54163.2021.9653432 | 2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ) |
Keywords | DocType | ISSN |
Training,Measurement,Computer vision,Databases,Face recognition,Computational modeling,Lighting | Conference | 2151-2191 |
ISBN | Citations | PageRank |
978-1-6654-0645-1 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khawar Islam | 1 | 0 | 0.34 |
| Sujin Lee | 2 | 0 | 1.01 |
| Dongil Han | 3 | 0 | 0.34 |
| Hyeonjoon Moon | 4 | 0 | 0.34 |