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Quantized Prompt for Efficient Generalization of Vision-Language Models

Quantized Prompt for Efficient Generalization of Vision-Language Models

15 July 2024
Tianxiang Hao
Xiaohan Ding
Juexiao Feng
Yuhong Yang
Hui Chen
Guiguang Ding
    VLM
    MQ
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Papers citing "Quantized Prompt for Efficient Generalization of Vision-Language Models"

12 / 12 papers shown
Title
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient
  Task Adaptation
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation
Yizhe Xiong
Hui Chen
Tianxiang Hao
Zijia Lin
Jungong Han
Yuesong Zhang
Guoxin Wang
Yongjun Bao
Guiguang Ding
43
16
0
14 Mar 2024
Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model
  within 0.5K Parameters
Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model within 0.5K Parameters
Tianxiang Hao
Mengyao Lyu
Hui Chen
Sicheng Zhao
Jungong Han
Guiguang Ding
VLM
VPVLM
37
3
0
17 Dec 2023
Consolidator: Mergeable Adapter with Grouped Connections for Visual
  Adaptation
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Tianxiang Hao
Hui Chen
Yuchen Guo
Guiguang Ding
42
16
0
30 Apr 2023
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization
Hantao Yao
Rui Zhang
Changsheng Xu
VLM
VPVLM
122
193
0
23 Mar 2023
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
F. Khan
VPVLM
VLM
186
521
0
06 Oct 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
141
631
0
26 May 2022
Overcoming Oscillations in Quantization-Aware Training
Overcoming Oscillations in Quantization-Aware Training
Markus Nagel
Marios Fournarakis
Yelysei Bondarenko
Tijmen Blankevoort
MQ
106
70
0
21 Mar 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
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
236
780
0
14 Oct 2021
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
322
2,249
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
278
3,784
0
18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,683
0
11 Feb 2021
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
X. Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian-jun Sun
117
1,484
0
11 Jan 2021
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