FDBPL caches teacher soft labels offline and adds positive-negative region prompts, achieving 2.2x faster training and modest zero-shot gains over prior distillation-based prompt learning.
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FDBPL: Faster Distillation-Based Prompt Learning for Region-Aware Vision-Language Models Adaptation
FDBPL caches teacher soft labels offline and adds positive-negative region prompts, achieving 2.2x faster training and modest zero-shot gains over prior distillation-based prompt learning.