Few-shot contrastive transfer learning with pretrained model for masked face verification

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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Bibliographic Details
Main Authors: Weng, Zhenyu, Zhuang, Huiping, Luo, Fulin, Li, Haizhou, Lin, Zhiping
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Face verification
Transfer learning
Online Access:https://hdl.handle.net/10356/174467

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