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Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning
  and Inference

Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning and Inference

23 May 2024
Ting Liu
Xuyang Liu
Liangtao Shi
Zunnan Xu
Siteng Huang
Yi Xin
Quanjun Yin
ArXivPDFHTML

Papers citing "Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning and Inference"

32 / 32 papers shown
Title
KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification
KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification
Yue Zhu
Haiwen Diao
Shang Gao
Long Chen
Huchuan Lu
124
0
0
10 Feb 2025
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
Ting Liu
Zunnan Xu
Yue Hu
Liangtao Shi
Zhiqiang Wang
Quanjun Yin
104
3
0
03 Jan 2025
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer:
  A Disentangled Approach
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
Taolin Zhang
Jiawang Bai
Zhihe Lu
Dongze Lian
Genping Wang
Xinchao Wang
Shu-Tao Xia
80
5
0
09 Jul 2024
DARA: Domain- and Relation-aware Adapters Make Parameter-efficient
  Tuning for Visual Grounding
DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding
Ting Liu
Xuyang Liu
Siteng Huang
Honggang Chen
Quanjun Yin
Long Qin
Donglin Wang
Yue Hu
60
6
0
10 May 2024
Time-, Memory- and Parameter-Efficient Visual Adaptation
Time-, Memory- and Parameter-Efficient Visual Adaptation
Otniel-Bogdan Mercea
Alexey Gritsenko
Cordelia Schmid
Anurag Arnab
VLM
53
14
0
05 Feb 2024
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Yi Xin
Jianjiang Yang
Haodi Zhou
Junlong Du
Junlong Du
Yue Fan
Qing Li
Qing Li
Yuntao Du
VLM
101
81
0
03 Feb 2024
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution
  Vision Transformer
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
Xuanyao Chen
Zhijian Liu
Haotian Tang
Li Yi
Hang Zhao
Song Han
ViT
176
48
0
30 Mar 2023
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
Shibo Jie
Zhi-Hong Deng
49
131
0
06 Dec 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model
  Tuning
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian
Daquan Zhou
Jiashi Feng
Xinchao Wang
74
258
0
17 Oct 2022
Convolutional Bypasses Are Better Vision Transformer Adapters
Convolutional Bypasses Are Better Vision Transformer Adapters
Shibo Jie
Zhi-Hong Deng
VPVLM
59
133
0
14 Jul 2022
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning
Junting Pan
Ziyi Lin
Xiatian Zhu
Jing Shao
Hongsheng Li
82
203
0
27 Jun 2022
Neural Prompt Search
Neural Prompt Search
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
VPVLM
VLM
93
149
0
09 Jun 2022
AdapterBias: Parameter-efficient Token-dependent Representation Shift
  for Adapters in NLP Tasks
AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks
Chin-Lun Fu
Zih-Ching Chen
Yun-Ru Lee
Hung-yi Lee
60
47
0
30 Apr 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLM
VPVLM
148
1,624
0
23 Mar 2022
Swin Transformer V2: Scaling Up Capacity and Resolution
Swin Transformer V2: Scaling Up Capacity and Resolution
Ze Liu
Han Hu
Yutong Lin
Zhuliang Yao
Zhenda Xie
...
Yue Cao
Zheng Zhang
Li Dong
Furu Wei
B. Guo
ViT
207
1,809
0
18 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
451
7,739
0
11 Nov 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
162
1,218
0
18 Jun 2021
DynamicViT: Efficient Vision Transformers with Dynamic Token
  Sparsification
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao
Wenliang Zhao
Benlin Liu
Jiwen Lu
Jie Zhou
Cho-Jui Hsieh
ViT
78
697
0
03 Jun 2021
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient
  Image Recognition
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
Yulin Wang
Rui Huang
S. Song
Zeyi Huang
Gao Huang
ViT
71
193
0
31 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
668
6,066
0
29 Apr 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
543
4,036
0
18 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
441
21,418
0
25 Mar 2021
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A Survey
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DH
AI4TS
AI4CE
109
649
0
09 Feb 2021
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
79
439
0
01 Oct 2019
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
155
1,327
0
23 May 2018
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
229
8,015
0
22 May 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
766
36,794
0
25 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
327
8,116
0
13 Aug 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
410
10,482
0
21 Jul 2016
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
169
5,000
0
27 Jun 2016
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
Multi-digit Number Recognition from Street View Imagery using Deep
  Convolutional Neural Networks
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
Ian Goodfellow
Yaroslav Bulatov
Julian Ibarz
Sacha Arnoud
Vinay D. Shet
95
719
0
20 Dec 2013
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