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AAPL: Adding Attributes to Prompt Learning for Vision-Language Models

AAPL: Adding Attributes to Prompt Learning for Vision-Language Models

25 April 2024
Gahyeon Kim
Sohee Kim
Seokju Lee
    VLM
ArXivPDFHTML

Papers citing "AAPL: Adding Attributes to Prompt Learning for Vision-Language Models"

23 / 23 papers shown
Title
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
132
10
0
23 Jan 2025
Tree of Attributes Prompt Learning for Vision-Language Models
Tree of Attributes Prompt Learning for Vision-Language Models
Tong Ding
Wanhua Li
Zhongqi Miao
Hanspeter Pfister
VLM
85
1
0
15 Oct 2024
Understanding and Mitigating Overfitting in Prompt Tuning for
  Vision-Language Models
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
Cheng Ma
Yang Liu
Jiankang Deng
Lingxi Xie
Weiming Dong
Changsheng Xu
VLM
VPVLM
79
44
0
04 Nov 2022
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
Fahad Shahbaz Khan
VPVLM
VLM
246
544
0
06 Oct 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
288
3,458
0
29 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
105
1,576
0
23 Mar 2022
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
65
757
0
16 Dec 2021
FLAVA: A Foundational Language And Vision Alignment Model
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh
Ronghang Hu
Vedanuj Goswami
Guillaume Couairon
Wojciech Galuba
Marcus Rohrbach
Douwe Kiela
CLIP
VLM
72
703
0
08 Dec 2021
FILIP: Fine-grained Interactive Language-Image Pre-Training
FILIP: Fine-grained Interactive Language-Image Pre-Training
Lewei Yao
Runhu Huang
Lu Hou
Guansong Lu
Minzhe Niu
Hang Xu
Xiaodan Liang
Zhenguo Li
Xin Jiang
Chunjing Xu
VLM
CLIP
75
627
0
09 Nov 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
443
2,340
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
468
3,952
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
397
3,778
0
11 Feb 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
182
4,209
0
01 Jan 2021
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
265
1,715
0
29 Jun 2020
Transferable Contrastive Network for Generalized Zero-Shot Learning
Transferable Contrastive Network for Generalized Zero-Shot Learning
Huajie Jiang
Ruiping Wang
Shiguang Shan
Xilin Chen
VLM
68
176
0
16 Aug 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
178
1,454
0
16 Jul 2019
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
82
951
0
29 May 2019
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
123
1,554
0
03 Jul 2017
Zero-Shot Learning -- The Good, the Bad and the Ugly
Zero-Shot Learning -- The Good, the Bad and the Ugly
Yongqin Xian
Bernt Schiele
Zeynep Akata
60
837
0
13 Mar 2017
An Empirical Study and Analysis of Generalized Zero-Shot Learning for
  Object Recognition in the Wild
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
Wei-Lun Chao
Soravit Changpinyo
Boqing Gong
Fei Sha
49
563
0
13 May 2016
Synthesized Classifiers for Zero-Shot Learning
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Boqing Gong
Fei Sha
99
735
0
02 Mar 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
287
13,079
0
12 Mar 2015
Fine-Grained Visual Classification of Aircraft
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
91
2,227
0
21 Jun 2013
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