AIBullisharXiv – CS AI · 5h ago6/10
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SpecPL: Disentangling Spectral Granularity for Prompt Learning
SpecPL introduces a novel spectral approach to prompt learning for vision-language models that decomposes visual signals into semantic low-frequency and granular high-frequency components. Using counterfactual granule supervision, the method achieves 81.51% harmonic-mean accuracy across 11 benchmarks while serving as a plug-and-play enhancement for existing text-oriented approaches.