A reinforcement learning approach adapts general generative models to produce synthetic data that boosts identity recognition accuracy and generalization under privacy constraints.
Privacy-protected person re-identification via virtual sam- ples.IEEE Transactions on Information Forensics and Se- curity, 18:5495–5505, 2023
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Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
A reinforcement learning approach adapts general generative models to produce synthetic data that boosts identity recognition accuracy and generalization under privacy constraints.