ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.04232
  4. Cited By
A Closer Look at Few-shot Classification
v1v2 (latest)

A Closer Look at Few-shot Classification

8 April 2019
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
ArXiv (abs)PDFHTML

Papers citing "A Closer Look at Few-shot Classification"

50 / 845 papers shown
Title
Generating Representative Samples for Few-Shot Classification
Generating Representative Samples for Few-Shot Classification
Jingyi Xu
Hieu M. Le
VLM
109
65
0
05 May 2022
On the generalization capabilities of FSL methods through domain
  adaptation: a case study in endoscopic kidney stone image classification
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
M. Mendez-Ruiz
F. Lopez-Tiro
Jonathan El Beze
V. Estrade
Gilberto Ochoa-Ruiz
Jacques Hubert
Andres Mendez-Vazquez
Christian Daul
OOD
40
8
0
02 May 2022
Meta-free few-shot learning via representation learning with weight
  averaging
Meta-free few-shot learning via representation learning with weight averaging
Kuilin Chen
Chi-Guhn Lee
56
5
0
26 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning
Realistic Evaluation of Transductive Few-Shot Learning
Olivier Veilleux
Malik Boudiaf
Pablo Piantanida
Ismail Ben Ayed
83
37
0
24 Apr 2022
Can domain adaptation make object recognition work for everyone?
Can domain adaptation make object recognition work for everyone?
Viraj Prabhu
Ramprasaath R. Selvaraju
Judy Hoffman
Nikhil Naik
OOD
62
8
0
23 Apr 2022
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained
  Visual Recognition
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
GAN
79
12
0
22 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
139
5
0
18 Apr 2022
Learning Compositional Representations for Effective Low-Shot
  Generalization
Learning Compositional Representations for Effective Low-Shot Generalization
Samarth Mishra
Pengkai Zhu
Venkatesh Saligrama
OCL
56
3
0
17 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External
  Data and Fine-Tuning Make a Difference
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
S. Hu
Da Li
Jan Stuhmer
Minyoung Kim
Timothy M. Hospedales
92
197
0
15 Apr 2022
Few-shot Learning with Noisy Labels
Few-shot Learning with Noisy Labels
Kevin J. Liang
Samrudhdhi B. Rangrej
Vladan Petrovic
Tal Hassner
NoLa
98
50
0
12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image
  Classification
A Simple Approach to Adversarial Robustness in Few-shot Image Classification
Akshayvarun Subramanya
Hamed Pirsiavash
VLM
66
6
0
11 Apr 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning
GDC- Generalized Distribution Calibration for Few-Shot Learning
Shakti Kumar
Hussain Zaidi
77
8
0
11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for
  Few-Shot Classification
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Jiangtao Xie
Fei Long
Jiaming Lv
Qilong Wang
P. Li
89
172
0
09 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction
  with Selected Sampling
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
R. Tao
Han Zhang
Yutong Zheng
Marios Savvides
78
20
0
07 Apr 2022
The Self-Optimal-Transport Feature Transform
The Self-Optimal-Transport Feature Transform
Daniel Shalam
Simon Korman
OT
65
22
0
06 Apr 2022
Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning
  Consistent and Contrastive Feature Representations
Con2^{2}2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations
M. Pérez-Carrasco
P. Protopapas
Guillermo Cabrera-Vives
68
7
0
04 Apr 2022
Attribute Prototype Network for Any-Shot Learning
Attribute Prototype Network for Any-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
82
39
0
04 Apr 2022
Matching Feature Sets for Few-Shot Image Classification
Matching Feature Sets for Few-Shot Image Classification
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
79
75
0
02 Apr 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
110
127
0
31 Mar 2022
Integrative Few-Shot Learning for Classification and Segmentation
Integrative Few-Shot Learning for Classification and Segmentation
Dahyun Kang
Minsu Cho
VLM
99
61
0
29 Mar 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
A. Bhunia
Viswanatha Reddy Gajjala
Subhadeep Koley
Rohit Kundu
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
CLL
90
30
0
28 Mar 2022
A Framework of Meta Functional Learning for Regularising Knowledge
  Transfer
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Pan Li
Yanwei Fu
S. Gong
32
0
0
28 Mar 2022
Temporal Transductive Inference for Few-Shot Video Object Segmentation
Temporal Transductive Inference for Few-Shot Video Object Segmentation
Mennatullah Siam
Konstantinos G. Derpanis
Richard P. Wildes
VOS
78
9
0
27 Mar 2022
Recent Few-Shot Object Detection Algorithms: A Survey with Performance
  Comparison
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison
Tianying Liu
Lu Zhang
Yang Wang
Jihong Guan
Yanwei Fu
Jiajia Zhao
Shuigeng Zhou
ObjDAAML
84
27
0
27 Mar 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
103
32
0
25 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
HyperShot: Few-Shot Learning by Kernel HyperNetworks
Marcin Sendera
Marcin Przewiȩźlikowski
Konrad Karanowski
Maciej Ziȩba
Jacek Tabor
Przemysław Spurek
VLM
103
29
0
21 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in
  Transformers for Few-shot Learning
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
Yang He
Weihan Liang
Dongyang Zhao
Hong-Yu Zhou
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
ViT
98
46
0
17 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu
Lei Xing
Shuai Shao
Lifei Zhao
Baodi Liu
Weifeng Liu
Yicong Zhou
104
23
0
15 Mar 2022
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain
  Few-Shot Learning
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
Yuqian Fu
Yu Xie
Yanwei Fu
Jingjing Chen
Yu-Gang Jiang
73
20
0
15 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer
Self-Promoted Supervision for Few-Shot Transformer
Bowen Dong
Pan Zhou
Shuicheng Yan
W. Zuo
ViT
79
31
0
14 Mar 2022
Forward Compatible Few-Shot Class-Incremental Learning
Forward Compatible Few-Shot Class-Incremental Learning
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
Liang Ma
Shiliang Pu
De-Chuan Zhan
CLL
91
184
0
14 Mar 2022
Worst Case Matters for Few-Shot Recognition
Worst Case Matters for Few-Shot Recognition
Minghao Fu
Yunhao Cao
Jianxin Wu
67
7
0
13 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
114
168
0
07 Mar 2022
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene
  Classification
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification
Qiaoli Chen
Zhihao Chen
Wei Luo
110
5
0
04 Mar 2022
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable
  Few-Shot Learning
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning
Baoquan Zhang
Hao Jiang
Xutao Li
Shanshan Feng
Yunming Ye
Rui Ye
68
4
0
03 Mar 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning
Interpretable Concept-based Prototypical Networks for Few-Shot Learning
M. Zarei
Majid Komeili
68
4
0
27 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural
  Architecture Search
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang
Xiaoming Yuan
Qianyun Zhang
Guangxu Zhu
Lei Cheng
Ning Zhang
FedMLOOD
90
16
0
23 Feb 2022
ProtoSound: A Personalized and Scalable Sound Recognition System for
  Deaf and Hard-of-Hearing Users
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users
D. Jain
Khoa Nguyen
Steven M. Goodman
Rachel Grossman-Kahn
Hung Ngo
Aditya Kusupati
Ruofei Du
A. Olwal
Leah Findlater
Jon E. Froehlich
73
30
0
22 Feb 2022
Towards better understanding and better generalization of few-shot
  classification in histology images with contrastive learning
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
Jiawei Yang
Hanbo Chen
Jiangpeng Yan
Xiaoyu Chen
Jianhua Yao
VLM
69
22
0
18 Feb 2022
Semantically Proportional Patchmix for Few-Shot Learning
Semantically Proportional Patchmix for Few-Shot Learning
Jingquan Wang
Jing Xu
Yu Pan
Zenglin Xu
VLM
48
1
0
17 Feb 2022
Spectral Propagation Graph Network for Few-shot Time Series
  Classification
Spectral Propagation Graph Network for Few-shot Time Series Classification
Ling Yang
linda Qiao
Luxia Zhang
68
2
0
08 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric
  Approach
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Chunwei Ma
Ziyun Huang
Mingchen Gao
Jinhui Xu
61
5
0
05 Feb 2022
Beam Management with Orientation and RSRP using Deep Learning for Beyond
  5G Systems
Beam Management with Orientation and RSRP using Deep Learning for Beyond 5G Systems
Khuong N. Nguyen
Anum Ali
Jianhua Mo
Boon Loong Ng
Vutha Va
Jianzhong Zhang
50
16
0
04 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity
  and Few-Shot Difficulty
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Jaehoon Oh
Sungnyun Kim
Namgyu Ho
Jin-Hwa Kim
Hwanjun Song
Se-Young Yun
65
38
0
01 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular
  Mutual Information
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
68
4
0
30 Jan 2022
The Effect of Diversity in Meta-Learning
The Effect of Diversity in Meta-Learning
Ramnath Kumar
T. Deleu
Yoshua Bengio
76
13
0
27 Jan 2022
Variational Model Inversion Attacks
Variational Model Inversion Attacks
Kuan-Chieh Wang
Yanzhe Fu
Ke Li
Ashish Khisti
R. Zemel
Alireza Makhzani
MIACV
94
98
0
26 Jan 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art
  Few-Shot Classification with Simple Ingredients
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Yassir Bendou
Yuqing Hu
Raphael Lafargue
G. Lioi
Bastien Pasdeloup
S. Pateux
Vincent Gripon
VLM
110
38
0
24 Jan 2022
Distance-Ratio-Based Formulation for Metric Learning
Distance-Ratio-Based Formulation for Metric Learning
Hyeongji Kim
P. Parviainen
K. Malde
36
1
0
21 Jan 2022
Cross-Domain Few-Shot Graph Classification
Cross-Domain Few-Shot Graph Classification
Kaveh Hassani
107
32
0
20 Jan 2022
Previous
123...789...151617
Next