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# MSGCoOp: Visual-Language Prompt Tuning with Knowledge-guided Context Optimization # MSGCoOp: Visual-Language Prompt Tuning with Knowledge-guided Context Optimization
[![Paper](https://img.shields.io/badge/arXiv-Paper-brightgreen.svg)](https://arxiv.org/abs/2507.21786)
[![Code](https://img.shields.io/badge/Code-GitHub-blueviolet.svg)](https://github.com/Rain-Bus/MSGCoOp)
## Overview of MSGCoOp ## Overview of MSGCoOp
We introduce **Multi-prompt Semantic-Guided Context Optimization (MSGCoOp)**, a novel framework that advances CLIP-based prompt tuning for few-shot learning. MSGCoOp addresses the challenge of generalizing to novel classes efficiently, without heavy architectural modifications or expensive computation. We introduce **Multi-prompt Semantic-Guided Context Optimization (MSGCoOp)**, a novel framework that advances CLIP-based prompt tuning for few-shot learning. MSGCoOp addresses the challenge of generalizing to novel classes efficiently, without heavy architectural modifications or expensive computation.