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FASR++ transforms low-quality surveillance images into high-resolution facial representations, achieving state-of-the-art recognition accuracy without compromising identity integrity.
Achieving a macro accuracy of 79.7% in vehicle color recognition highlights the potential of synthetic data augmentation to address severe class imbalances in surveillance contexts.
