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Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

19 July 2022
Renrui Zhang
Zhang Wei
Rongyao Fang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
    VLM
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Papers citing "Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification"

18 / 68 papers shown
Title
Universal Domain Adaptation from Foundation Models: A Baseline Study
Universal Domain Adaptation from Foundation Models: A Baseline Study
Bin Deng
Kui Jia
VLM
29
6
0
18 May 2023
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic
  Segmentation
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation
Jie Guo
Qimeng Wang
Yan Gao
Xiaolong Jiang
Xu Tang
Yao Hu
Baochang Zhang
VLM
37
11
0
14 Apr 2023
Defense-Prefix for Preventing Typographic Attacks on CLIP
Defense-Prefix for Preventing Typographic Attacks on CLIP
Hiroki Azuma
Yusuke Matsui
VLM
AAML
20
17
0
10 Apr 2023
Diversity-Aware Meta Visual Prompting
Diversity-Aware Meta Visual Prompting
Qidong Huang
Xiaoyi Dong
Dongdong Chen
Weiming Zhang
Feifei Wang
Gang Hua
Neng H. Yu
VLM
VPVLM
41
52
0
14 Mar 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud
  Pre-training
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Ziyu Guo
Renrui Zhang
Longtian Qiu
Xianzhi Li
Pheng-Ann Heng
3DPC
34
52
0
27 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Li Liu
CLL
31
7
0
12 Feb 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
42
17
0
03 Jan 2023
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
35
43
0
28 Nov 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip Torr
Song Bai
Xiaojuan Qi
52
285
0
14 Oct 2022
Convolutional Bypasses Are Better Vision Transformer Adapters
Convolutional Bypasses Are Better Vision Transformer Adapters
Shibo Jie
Zhi-Hong Deng
VPVLM
21
131
0
14 Jul 2022
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
P. JishnuJaykumar
Yu-Wei Chao
Yu Xiang
21
11
0
06 Jul 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
184
244
0
28 May 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
175
435
0
04 Dec 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
348
2,271
0
02 Sep 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
322
3,708
0
11 Feb 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
20,572
0
17 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,684
0
09 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,109
0
02 Dec 2016
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