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Unsupervised Prompt Learning for Vision-Language Models

Unsupervised Prompt Learning for Vision-Language Models

7 April 2022
Hao Huang
Jack Chu
Fangyun Wei
    VPVLM
    MLLM
    VLM
ArXivPDFHTML

Papers citing "Unsupervised Prompt Learning for Vision-Language Models"

27 / 27 papers shown
Title
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
Yuchen Wang
X. Bai
X. Li
Weili Guan
Liqiang Nie
Xinyang Chen
VLM
42
0
0
04 May 2025
Large (Vision) Language Models are Unsupervised In-Context Learners
Large (Vision) Language Models are Unsupervised In-Context Learners
Artyom Gadetsky
Andrei Atanov
Yulun Jiang
Zhitong Gao
Ghazal Hosseini Mighan
Amir Zamir
Maria Brbić
VLM
MLLM
LRM
64
0
0
03 Apr 2025
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLM
VLM
102
0
0
03 Mar 2025
Visual Adaptive Prompting for Compositional Zero-Shot Learning
Visual Adaptive Prompting for Compositional Zero-Shot Learning
Kyle Stein
A. Mahyari
Guillermo A. Francia
Eman El-Sheikh
VLM
CoGe
138
1
0
27 Feb 2025
QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries
QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries
N. H. Chapman
Feras Dayoub
Will N. Browne
Christopher F. Lehnert
VLM
64
0
0
26 Feb 2025
AWT: Transferring Vision-Language Models via Augmentation, Weighting,
  and Transportation
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Yuhan Zhu
Yuyang Ji
Zhiyu Zhao
Gangshan Wu
Limin Wang
VLM
39
7
0
05 Jul 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
Jia Syuen Lim
Zhuoxiao Chen
Mahsa Baktashmotlagh
Zhi Chen
Xin Yu
Zi Huang
Yadan Luo
VLM
ObjD
73
1
0
21 Jun 2024
On the test-time zero-shot generalization of vision-language models: Do
  we really need prompt learning?
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
Maxime Zanella
Ismail Ben Ayed
VLM
MLLM
35
22
0
03 May 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang
Zhenyi Lin
Qilong Wang
Pengfei Zhu
Qinghua Hu
26
11
0
13 Apr 2024
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with
  Vision-Language Models
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li
Sima Behpour
T. Doan
Wenbin He
Liangke Gou
Liu Ren
VLM
16
3
0
20 Jul 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong
  Few-shot Learners
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Renrui Zhang
Xiangfei Hu
Bohao Li
Siyuan Huang
Hanqiu Deng
Hongsheng Li
Yu Qiao
Peng Gao
VLM
MLLM
25
170
0
03 Mar 2023
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Zachary Novack
Julian McAuley
Zachary Chase Lipton
Saurabh Garg
VLM
19
79
0
06 Feb 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with
  Multimodal Models
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
15
97
0
16 Jan 2023
Towards Practical Few-shot Federated NLP
Towards Practical Few-shot Federated NLP
Dongqi Cai
Yaozong Wu
Haitao Yuan
Shangguang Wang
F. Lin
Mengwei Xu
FedML
19
6
0
01 Dec 2022
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for
  Few-shot Image Classification
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
Fang Peng
Xiaoshan Yang
Linhui Xiao
Yaowei Wang
Changsheng Xu
VLM
22
42
0
28 Nov 2022
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
F. Khan
VPVLM
VLM
186
528
0
06 Oct 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
15
208
0
26 Jul 2022
PointCLIP: Point Cloud Understanding by CLIP
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Bin Cui
Yu Qiao
Peng Gao
Hongsheng Li
VLM
3DPC
164
435
0
04 Dec 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang
Rongyao Fang
Wei Zhang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
184
384
0
06 Nov 2021
ActionCLIP: A New Paradigm for Video Action Recognition
ActionCLIP: A New Paradigm for Video Action Recognition
Mengmeng Wang
Jiazheng Xing
Yong Liu
VLM
149
362
0
17 Sep 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
Open-vocabulary Object Detection via Vision and Language Knowledge
  Distillation
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu
Tsung-Yi Lin
Weicheng Kuo
Yin Cui
VLM
ObjD
223
897
0
28 Apr 2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip
  Retrieval
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Huaishao Luo
Lei Ji
Ming Zhong
Yang Chen
Wen Lei
Nan Duan
Tianrui Li
CLIP
VLM
309
778
0
18 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
280
3,835
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
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
206
506
0
15 Jan 2021
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
242
269
0
30 Sep 2019
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