Few-shot contrastive transfer learning with pretrained model for masked face verification
Face verification has seen remarkable progress that benefits from large-scale publicly available databases. However, it remains a challenge how to generalize a pretrained face verification model to a new scenario with a limited amount of data. In many real-world applications, the training datab...
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Main Authors: | Weng, Zhenyu, Zhuang, Huiping, Luo, Fulin, Li, Haizhou, Lin, Zhiping |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/174467 |
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Institution: | Nanyang Technological University |
Language: | English |
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