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Consolidator: Mergeable Adapter with Grouped Connections for Visual
  Adaptation

Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation

30 April 2023
Tianxiang Hao
Hui Chen
Yuchen Guo
Guiguang Ding
ArXivPDFHTML

Papers citing "Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation"

18 / 18 papers shown
Title
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
Jiahuan Long
Tingsong Jiang
Wen Yao
Yizhe Xiong
Zhengqin Xu
Shuai Jia
Chao Ma
29
0
0
11 Apr 2025
APLA: A Simple Adaptation Method for Vision Transformers
APLA: A Simple Adaptation Method for Vision Transformers
Moein Sorkhei
Emir Konuk
Kevin Smith
Christos Matsoukas
58
0
0
14 Mar 2025
Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning
Chikai Shang
Mengke Li
Yiqun Zhang
Zhen Chen
Jinlin Wu
Fangqing Gu
Yang Lu
Yiu-ming Cheung
VLM
79
0
0
10 Mar 2025
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino
F. Tonin
Yongtao Wu
Frank Zhengqing Wu
Leyla Naz Candogan
V. Cevher
MQ
67
3
0
07 Mar 2025
YOLO-UniOW: Efficient Universal Open-World Object Detection
YOLO-UniOW: Efficient Universal Open-World Object Detection
Lihao Liu
Juexiao Feng
Hui Chen
Ao Wang
Lin Song
Jiawei Han
Guiguang Ding
ObjD
VLM
64
2
0
31 Dec 2024
Token Compensator: Altering Inference Cost of Vision Transformer without
  Re-Tuning
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning
Shibo Jie
Yehui Tang
Jianyuan Guo
Zhi-Hong Deng
Kai Han
Yunhe Wang
VLM
46
4
0
13 Aug 2024
Quantized Prompt for Efficient Generalization of Vision-Language Models
Quantized Prompt for Efficient Generalization of Vision-Language Models
Tianxiang Hao
Xiaohan Ding
Juexiao Feng
Yuhong Yang
Hui Chen
Guiguang Ding
VLM
MQ
37
5
0
15 Jul 2024
Adapters Strike Back
Adapters Strike Back
Jan-Martin O. Steitz
Stefan Roth
40
5
0
10 Jun 2024
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer
  Attention Modules
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules
Xiangyu Chen
Jing Liu
Ye Wang
Pu Wang
Matthew Brand
Guanghui Wang
T. Koike-Akino
56
7
0
18 Mar 2024
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
51
17
0
14 Mar 2024
APoLLo: Unified Adapter and Prompt Learning for Vision Language Models
APoLLo: Unified Adapter and Prompt Learning for Vision Language Models
Sanjoy Chowdhury
Sayan Nag
Dinesh Manocha
VLM
33
17
0
04 Dec 2023
Revisiting the Parameter Efficiency of Adapters from the Perspective of
  Precision Redundancy
Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy
Shibo Jie
Haoqing Wang
Zhiwei Deng
32
31
0
31 Jul 2023
Visual Tuning
Visual Tuning
Bruce X. B. Yu
Jianlong Chang
Haixin Wang
Lin Liu
Shijie Wang
...
Lingxi Xie
Haojie Li
Zhouchen Lin
Qi Tian
Chang Wen Chen
VLM
62
38
0
10 May 2023
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
154
643
0
26 May 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
238
816
0
14 Oct 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
283
3,879
0
18 Apr 2021
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
Xinming Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian Sun
136
1,552
0
11 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,613
0
17 Apr 2017
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