SemPT, a semantic prompt tuning method, uses shared attribute-level descriptions and adaptive embedding selection to slightly improve base-to-novel, cross-dataset, cross-domain, and few-shot generalization of CLIP prompt tuning.
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SemPT: Semantic Prompt Tuning for Vision-Language Models
SemPT, a semantic prompt tuning method, uses shared attribute-level descriptions and adaptive embedding selection to slightly improve base-to-novel, cross-dataset, cross-domain, and few-shot generalization of CLIP prompt tuning.