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Improved Few-Shot Visual Classification

Improved Few-Shot Visual Classification

7 December 2019
Peyman Bateni
Raghav Goyal
Vaden Masrani
Frank Wood
Leonid Sigal
    VLM
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Papers citing "Improved Few-Shot Visual Classification"

50 / 55 papers shown
Title
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
Ruixiao Shi
Fu Feng
Yucheng Xie
Jing Wang
Xin Geng
29
0
0
13 May 2025
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
Congqi Cao
Peiheng Han
Y. Zhang
Yating Yu
Qinyi Lv
Lingtong Min
Yanning Zhang
VLM
55
0
0
09 May 2025
HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
Donggyun Kim
Chanwoo Kim
Seunghoon Hong
29
0
0
21 Apr 2025
Transductive One-Shot Learning Meet Subspace Decomposition
Transductive One-Shot Learning Meet Subspace Decomposition
Kyle Stein
A. Mahyari
Guillermo Francia III
Eman El-Sheikh
VLM
57
1
0
01 Apr 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
Yassir Bendou
Amine Ouasfi
Vincent Gripon
A. Boukhayma
VLM
53
0
0
19 Jan 2025
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in
  the Wild
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild
Donggyun Kim
Seongwoong Cho
Semin Kim
Chong Luo
Seunghoon Hong
VLM
45
2
0
29 Apr 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
36
11
0
13 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification
Flatness Improves Backbone Generalisation in Few-shot Classification
Rui Li
Martin Trapp
Marcus Klasson
Arno Solin
50
0
0
11 Apr 2024
Frozen Feature Augmentation for Few-Shot Image Classification
Frozen Feature Augmentation for Few-Shot Image Classification
Andreas Bär
N. Houlsby
Mostafa Dehghani
Manoj Kumar
VLM
34
4
0
15 Mar 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
43
0
0
29 Jan 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Yanan Wu
Zhixiang Chi
Yang Wang
Konstantinos N. Plataniotis
Songhe Feng
OOD
21
18
0
15 Dec 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Jiangmeng Li
VLM
ViT
54
2
0
05 Oct 2023
Learning to Drive Anywhere
Learning to Drive Anywhere
Ruizhao Zhu
Peng Huang
Eshed Ohn-Bar
Venkatesh Saligrama
45
6
0
21 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene
  Classification
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Junjie Zhu
Yiying Li
Chunping Qiu
Ke Yang
Naiyang Guan
Xiaodong Yi
32
6
0
17 Sep 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt
  Learning for Few-shot Weakly-supervised Whole Slide Image Classification
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Linhao Qu
X. Luo
Kexue Fu
Manning Wang
Zhijian Song
43
22
0
29 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
33
4
0
13 May 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model
  Fine-tuning
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Xinyun Zhang
Lanqing Hong
OODD
43
0
0
13 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Meta-Learning with a Geometry-Adaptive Preconditioner
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
37
15
0
04 Apr 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
39
7
0
12 Feb 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
24
48
0
28 Jan 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
20
100
0
16 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
35
16
0
06 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
40
3
0
22 Dec 2022
Evidential Conditional Neural Processes
Evidential Conditional Neural Processes
Deepshikha Pandey
Qi Yu
BDL
EDL
UQCV
21
13
0
30 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning
  Few-Shot Meta-Learners
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
E. T. Oldewage
J. Bronskill
Richard Turner
24
3
0
23 Nov 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
66
30
0
08 Oct 2022
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen
  Environment via Domain Generalization
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization
Dazhuo Wang
Jianfei Yang
Wei Cui
Lihua Xie
S. Sun
30
29
0
21 Sep 2022
Adversarial Feature Augmentation for Cross-domain Few-shot
  Classification
Adversarial Feature Augmentation for Cross-domain Few-shot Classification
Yan Hu
A. J. Ma
36
47
0
23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDL
VLM
43
17
0
22 Aug 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Tao Zhang
Wu Huang
24
13
0
24 Jul 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and
  Federated Image Classification
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
Aliaksandra Shysheya
J. Bronskill
Massimiliano Patacchiola
Sebastian Nowozin
Richard Turner
3DH
FedML
46
27
0
17 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
54
345
0
13 May 2022
Comparison Knowledge Translation for Generalizable Image Classification
Comparison Knowledge Translation for Generalizable Image Classification
Zunlei Feng
Tian Qiu
Sai Wu
Xi Jin
Zengliang He
Min-Gyoo Song
Huiqiong Wang
VLM
11
0
0
07 May 2022
Few-shot Learning with Noisy Labels
Few-shot Learning with Noisy Labels
Kevin J Liang
Samrudhdhi B. Rangrej
Vladan Petrovic
Tal Hassner
NoLa
30
47
0
12 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
30
27
0
06 Apr 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot
  Classification
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
Philip Chikontwe
Soopil Kim
Sang Hyun Park
35
32
0
25 Mar 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain,
  Active and Continual Few-Shot Learning
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
Peyman Bateni
Jarred Barber
Raghav Goyal
Vaden Masrani
Jan-Willem van de Meent
Leonid Sigal
Frank Wood
BDL
VLM
50
9
0
13 Jan 2022
Spatio-temporal Relation Modeling for Few-shot Action Recognition
Spatio-temporal Relation Modeling for Few-shot Action Recognition
Anirudh Thatipelli
Sanath Narayan
Salman Khan
Rao Muhammad Anwer
Fahad Shahbaz Khan
Guohao Li
ViT
27
88
0
09 Dec 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot
  Learning
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning
Yang Shu
Zhangjie Cao
Jing Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
36
11
0
14 Oct 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification
A Closer Look at Prototype Classifier for Few-shot Image Classification
Mingcheng Hou
Issei Sato
VLM
31
21
0
11 Oct 2021
A Mutual learning framework for Few-shot Sound Event Detection
A Mutual learning framework for Few-shot Sound Event Detection
Dongchao Yang
Helin Wang
Yuexian Zou
Zhongjie Ye
Wenwu Wang
34
25
0
09 Oct 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
Sai Vidyaranya Nuthalapati
Anirudh Tunga
30
32
0
21 Sep 2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System
Michael Karnes
Shehan Perera
S. Adhikari
Alper Yilmaz
20
7
0
08 Sep 2021
Prototype Completion for Few-Shot Learning
Prototype Completion for Few-Shot Learning
Baoquan Zhang
Xutao Li
Yunming Ye
Shanshan Feng
VLM
63
18
0
11 Aug 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot
  Learning
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
Reece Walsh
Mohamed H. Abdelpakey
M. Shehata
Mostafa M. Mohamed
3DH
30
21
0
27 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property
  Prediction
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang
Abulikemu Abuduweili
Quanming Yao
Dejing Dou
42
68
0
16 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-domain Few-shot Learning with Task-specific Adapters
Weihong Li
Xialei Liu
Hakan Bilen
OOD
32
113
0
01 Jul 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot
  Learning for Structured Data
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
42
24
0
11 Jun 2021
Learning a Universal Template for Few-shot Dataset Generalization
Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou
Hugo Larochelle
R. Zemel
Vincent Dumoulin
32
92
0
14 May 2021
Universal Representation Learning from Multiple Domains for Few-shot
  Classification
Universal Representation Learning from Multiple Domains for Few-shot Classification
Weihong Li
Xialei Liu
Hakan Bilen
SSL
OOD
VLM
30
84
0
25 Mar 2021
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