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"

6 / 6 papers shown

Title
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 72 54 0 26 Mar 2023
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization Hantao Yao Rui Zhang Changsheng Xu VLM VPVLM 122 193 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 52 108 0 28 Sep 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 169 263 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 234 780 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021