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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

Yuxin Tian
Mouxing Yang
Yunfan Li
Dayiheng Liu
Xingzhang Ren
Xiaocui Peng
Jiancheng Lv
    VLM
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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
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
208
900
0
27 Apr 2023
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
F. Khan
VPVLM
VLM
209
531
0
06 Oct 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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
392
4,137
0
28 Jan 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
348
2,271
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021