Bridging the Gap in Facial Age Progression: An Attention Mechanism Approach
With the advent of Generative Adversarial Networks (GANs), significant progress has been made in facial aging prediction. However, existing methods still face considerable challenges. Many studies estimate the ages of individuals in images based on their birth dates rather than visual cues, leading...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10739391/ |
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