CuTCP: Custom Text Generation-based Class-aware Prompt Tuning for visual-language models

Abstract Visual-language models (VLMs) excel in cross-modal reasoning by synthesizing visual and linguistic features. Recent VLMs use prompt learning for fine-tuning, allowing adaptation to various downstream tasks. TCP applies class-aware prompt tuning to improve VLMs generalization, yet its relian...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Min Huang, Chen Yang, Xiaoyan Yu
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Subjects:	CLIP CuTCP Prompt learning TCP VLMs
Online Access:	https://doi.org/10.1038/s41598-025-85838-x