An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language
Pre-train Model

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model

13 March 2024

Dayiheng Liu

Xingzhang Ren

Papers citing "An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model"

5 / 5 papers shown

Title
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Qinghao Ye Haiyang Xu Guohai Xu Jiabo Ye Ming Yan ... Junfeng Tian Qiang Qi Ji Zhang Feiyan Huang Jingren Zhou VLM MLLM 206 883 0 27 Apr 2023
MaPLe: Multi-modal Prompt Learning Muhammad Uzair Khattak H. Rasheed Muhammad Maaz Salman Khan F. Khan VPVLM VLM 186 521 0 06 Oct 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,010 0 28 Jan 2022
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021