Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search

Researchers have introduced an Uncertainty-Aware Test-Time Adaptation (UATTA) framework to enhance text-based person search in scenarios with limited labeled data. This method uses unlabeled test data to dynamically recalibrate models, reducing overconfidence and improving alignment between images and text descriptions without requiring extensive target-domain supervision. Developers can leverage this approach for more accurate and efficient deployment of person search systems in real-world settings.

Read the full article at arXiv cs.CV (Vision)

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