A reinforcement learning approach adapts general generative models to produce synthetic data that boosts identity recognition accuracy and generalization under privacy constraints.
In- finiteperson: Innovating synthetic data creation for general- ization person re-identification.IEEE Transactions on Cir- cuits and Systems for Video Technology, pages 1–1, 2024
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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.