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Understanding and Improving Visual Prompting: A Label-Mapping
  Perspective

Understanding and Improving Visual Prompting: A Label-Mapping Perspective

21 November 2022
Aochuan Chen
Yuguang Yao
Pin-Yu Chen
Yihua Zhang
Sijia Liu
    VPVLM
    VLM
ArXivPDFHTML

Papers citing "Understanding and Improving Visual Prompting: A Label-Mapping Perspective"

50 / 63 papers shown
Title
Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance
Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance
Guoying Liang
Su Yang
26
0
0
14 May 2025
RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models
RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models
Fujun Zhang
Xiangdong Su
29
0
0
13 May 2025
Token Coordinated Prompt Attention is Needed for Visual Prompting
Token Coordinated Prompt Attention is Needed for Visual Prompting
Zichen Liu
Xu Zou
Gang Hua
Jiahuan Zhou
34
0
0
05 May 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
Jiahao Zhang
Bowen Wang
Hong Liu
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
101
0
0
25 Apr 2025
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis
Chia-Yi Hsu
Jia-You Chen
Yu-Lin Tsai
Chih-Hsun Lin
Pin-Yu Chen
Chia-Mu Yu
Chun-ying Huang
50
0
0
20 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
71
0
0
10 Mar 2025
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
Can Jin
Ying Li
Mingyu Zhao
Shiyu Zhao
Z. Wang
Xiaoxiao He
Ligong Han
Tong Che
Dimitris N. Metaxas
VPVLM
VLM
115
1
0
02 Feb 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
39
7
0
23 Jan 2025
Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Jianxi Gao
VLM
28
0
0
03 Jan 2025
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
Jiannan Wu
Muyan Zhong
Sen Xing
Zeqiang Lai
Zhaoyang Liu
...
Lewei Lu
Tong Lu
Ping Luo
Yu Qiao
Jifeng Dai
MLLM
VLM
LRM
96
48
0
03 Jan 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Changchang Sun
Ren Wang
Yihua Zhang
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Sijia Liu
Yan Yan
AAML
MU
93
0
0
21 Dec 2024
Bayesian-guided Label Mapping for Visual Reprogramming
Bayesian-guided Label Mapping for Visual Reprogramming
C. Cai
Zesheng Ye
Lei Feng
Jianzhong Qi
Feng Liu
29
2
0
31 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L. Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
46
3
0
24 Oct 2024
Proactive Schemes: A Survey of Adversarial Attacks for Social Good
Proactive Schemes: A Survey of Adversarial Attacks for Social Good
Vishal Asnani
Xi Yin
Xiaoming Liu
AAML
34
1
0
24 Sep 2024
Benchmarking VLMs' Reasoning About Persuasive Atypical Images
Benchmarking VLMs' Reasoning About Persuasive Atypical Images
Sina Malakouti
Aysan Aghazadeh
Ashmit Khandelwal
Adriana Kovashka
VLM
37
2
0
16 Sep 2024
Visual Prompting in Multimodal Large Language Models: A Survey
Visual Prompting in Multimodal Large Language Models: A Survey
Junda Wu
Zhehao Zhang
Yu Xia
Xintong Li
Zhaoyang Xia
...
Subrata Mitra
Dimitris N. Metaxas
Lina Yao
Jingbo Shang
Julian McAuley
VLM
LRM
48
12
0
05 Sep 2024
When Does Visual Prompting Outperform Linear Probing for Vision-Language
  Models? A Likelihood Perspective
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood Perspective
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Tsung-Yi Ho
VPVLM
LRM
VLM
26
0
0
03 Sep 2024
Parameter-Efficient Fine-Tuning via Circular Convolution
Parameter-Efficient Fine-Tuning via Circular Convolution
Aochuan Chen
Jiashun Cheng
Zijing Liu
Ziqi Gao
Fugee Tsung
Yu Li
Jia Li
56
2
0
27 Jul 2024
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual
  Transformers
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers
Mengke Li
Da Li
Guoqing Yang
Yiu-ming Cheung
Hui Huang
3DPC
46
2
0
18 Jul 2024
Encapsulating Knowledge in One Prompt
Encapsulating Knowledge in One Prompt
Qi Li
Runpeng Yu
Xinchao Wang
VLM
KELM
44
3
0
16 Jul 2024
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
Changdae Oh
Gyeongdeok Seo
Geunyoung Jung
Zhi-Qi Cheng
Hosik Choi
Jiyoung Jung
Kyungwoo Song
VLM
36
1
0
04 Jul 2024
Sample-specific Masks for Visual Reprogramming-based Prompting
Sample-specific Masks for Visual Reprogramming-based Prompting
C. Cai
Zesheng Ye
Lei Feng
Jianzhong Qi
Feng Liu
36
4
0
05 Jun 2024
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for
  VPaaS via Watermark
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark
Huali Ren
Anli Yan
Chong-zhi Gao
Hongyang Yan
Zhenxin Zhang
Jin Li
VLM
AAML
30
4
0
24 May 2024
Not All Prompts Are Secure: A Switchable Backdoor Attack Against
  Pre-trained Vision Transformers
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers
Shengyuan Yang
Jiawang Bai
Kuofeng Gao
Yong-Liang Yang
Yiming Li
Shu-Tao Xia
AAML
SILM
30
5
0
17 May 2024
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of
  Pretrained Models in Medical Imaging Tasks
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks
Haijiang Tian
Jingkun Yue
Xiaohong Liu
Guoxing Yang
Zeyu Jiang
Guangyu Wang
VLM
MedIm
30
0
0
13 May 2024
TED: Accelerate Model Training by Internal Generalization
TED: Accelerate Model Training by Internal Generalization
Jinying Xiao
Ping Li
Jie Nie
VLM
21
0
0
06 May 2024
Understanding Retrieval-Augmented Task Adaptation for Vision-Language
  Models
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
Yifei Ming
Yixuan Li
VLM
28
7
0
02 May 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with
  Coreset Selection
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
Mohammad Jafari
Yimeng Zhang
Yihua Zhang
Sijia Liu
33
2
0
18 Mar 2024
On the low-shot transferability of [V]-Mamba
On the low-shot transferability of [V]-Mamba
Diganta Misra
Jay Gala
Antonio Orvieto
Mamba
37
1
0
15 Mar 2024
CoLLaVO: Crayon Large Language and Vision mOdel
CoLLaVO: Crayon Large Language and Vision mOdel
Byung-Kwan Lee
Beomchan Park
Chae Won Kim
Yonghyun Ro
VLM
MLLM
24
16
0
17 Feb 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
Yuhan Li
Peisong Wang
Zhixun Li
Jeffrey Xu Yu
Jia Li
19
39
0
17 Feb 2024
All in One and One for All: A Simple yet Effective Method towards
  Cross-domain Graph Pretraining
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
Haihong Zhao
Aochuan Chen
Xiangguo Sun
Hong Cheng
Jia Li
38
33
0
15 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
59
75
0
03 Feb 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain
  Generalization
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
Guanglin Zhou
Zhongyi Han
Shiming Chen
Biwei Huang
Liming Zhu
Tongliang Liu
Lina Yao
Kun Zhang
32
3
0
18 Jan 2024
LaViP:Language-Grounded Visual Prompts
LaViP:Language-Grounded Visual Prompts
Nilakshan Kunananthaseelan
Jing Zhang
Mehrtash Harandi
VLM
8
0
0
18 Dec 2023
An unsupervised approach towards promptable defect segmentation in
  laser-based additive manufacturing by Segment Anything
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything
Israt Zarin Era
Imtiaz Ahmed
Zhichao Liu
Srinjoy Das
19
2
0
07 Dec 2023
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model
  Perspective
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
Can Jin
Tianjin Huang
Yihua Zhang
Mykola Pechenizkiy
Sijia Liu
Shiwei Liu
Tianlong Chen
VLM
23
26
0
03 Dec 2023
Few-Shot Classification & Segmentation Using Large Language Models Agent
Few-Shot Classification & Segmentation Using Large Language Models Agent
Tian Meng
Yang Tao
Wuliang Yin
VLM
28
1
0
19 Nov 2023
Towards Robust and Accurate Visual Prompting
Towards Robust and Accurate Visual Prompting
Qi Li
Liangzhi Li
Zhouqiang Jiang
Bowen Wang
VPVLM
VLM
11
3
0
18 Nov 2023
Instruct Me More! Random Prompting for Visual In-Context Learning
Instruct Me More! Random Prompting for Visual In-Context Learning
Jiahao Zhang
Bowen Wang
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
25
15
0
07 Nov 2023
Exploring In-Context Learning of Textless Speech Language Model for
  Speech Classification Tasks
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks
Ming-Hao Hsu
Kai-Wei Chang
Shang-Wen Li
Hung-yi Lee
26
7
0
19 Oct 2023
Quantifying Privacy Risks of Prompts in Visual Prompt Learning
Quantifying Privacy Risks of Prompts in Visual Prompt Learning
Yixin Wu
Rui Wen
Michael Backes
Pascal Berrang
Mathias Humbert
Yun Shen
Yang Zhang
AAML
VPVLM
27
8
0
18 Oct 2023
Unifying Image Processing as Visual Prompting Question Answering
Unifying Image Processing as Visual Prompting Question Answering
Yihao Liu
Xiangyu Chen
Xianzheng Ma
Xintao Wang
Jiantao Zhou
Yu Qiao
Chao Dong
MLLM
22
18
0
16 Oct 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced
  Transfer Learning
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang
Yimeng Zhang
Aochuan Chen
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
29
8
0
13 Oct 2023
AutoVP: An Automated Visual Prompting Framework and Benchmark
AutoVP: An Automated Visual Prompting Framework and Benchmark
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Sijia Liu
Tsung-Yi Ho
VLM
14
18
0
12 Oct 2023
Prompt Backdoors in Visual Prompt Learning
Prompt Backdoors in Visual Prompt Learning
Hai Huang
Zhengyu Zhao
Michael Backes
Yun Shen
Yang Zhang
VLM
VPVLM
AAML
SILM
35
2
0
11 Oct 2023
Uncovering the Hidden Cost of Model Compression
Uncovering the Hidden Cost of Model Compression
Diganta Misra
Muawiz Chaudhary
Agam Goyal
Bharat Runwal
Pin-Yu Chen
VLM
28
0
0
29 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
36
25
0
01 Aug 2023
Lost In Translation: Generating Adversarial Examples Robust to
  Round-Trip Translation
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation
Neel Bhandari
Pin-Yu Chen
AAML
SILM
32
3
0
24 Jul 2023
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental
  Learning
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
Julien Nicolas
Florent Chiaroni
Imtiaz Masud Ziko
Ola Ahmad
Christian Desrosiers
Jose Dolz
VLM
CLL
26
5
0
11 Jul 2023
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