MePT: Multi-Representation Guided Prompt Tuning for Vision-Language
Model

MePT: Multi-Representation Guided Prompt Tuning for Vision-Language Model

19 August 2024

Xinyang Wang

Yi Yang

Shi Liu

Wei Chen

Papers citing "MePT: Multi-Representation Guided Prompt Tuning for Vision-Language Model"

7 / 7 papers shown

Title
Parameter-Efficient Fine-Tuning for Foundation Models Dan Zhang Tao Feng Lilong Xue Yuandong Wang Yuxiao Dong J. Tang 46 8 0 23 Jan 2025
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning Changdae Oh Hyeji Hwang Hee-young Lee Yongtaek Lim Geunyoung Jung Jiyoung Jung Hosik Choi Kyungwoo Song VLM VPVLM 85 57 0 26 Mar 2023
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization Hantao Yao Rui Zhang Changsheng Xu VLM VPVLM 127 200 0 23 Mar 2023
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention Ziyu Guo Renrui Zhang Longtian Qiu Xianzheng Ma Xupeng Miao Xuming He Bin Cui VLM AAML 59 109 0 28 Sep 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 183 271 0 30 May 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 806 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021