SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models

Prompt tuning methods have achieved remarkable success in parameter-efficient fine-tuning on large pre-trained models. However, their application to dual-modal fusion-based visual-language pre-trained models (VLPMs), such as GLIP, has encountered issues. Existing prompt tuning methods have not effec...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Zhou, Yang, Wu, Yongjian, Saiyin, Jiya, Wei, Bingzheng, Lai, Maode, Chang, Eric, Xu, Yan
Format:	Artikel
Sprache:	eng
Schlagworte:	Parameters Prototypes Semantics
Online-Zugang:	Volltext
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