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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
Improving Cross-domain Few-shot Classification with Multilayer
  Perceptron
Improving Cross-domain Few-shot Classification with Multilayer Perceptron
Shuanghao Bai
Wanqi Zhou
Zhirong Luan
Donglin Wang
Badong Chen
80
5
0
15 Dec 2023
BIRB: A Generalization Benchmark for Information Retrieval in
  Bioacoustics
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
Jenny Hamer
Eleni Triantafillou
B. V. Merrienboer
Stefan Kahl
Holger Klinck
Tom Denton
Vincent Dumoulin
73
15
0
12 Dec 2023
TransMed: Large Language Models Enhance Vision Transformer for
  Biomedical Image Classification
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification
Kaipeng Zheng
Weiran Huang
Lichao Sun
LM&MAMedImVLM
88
0
0
12 Dec 2023
Efficient Cross-Domain Federated Learning by MixStyle Approximation
Efficient Cross-Domain Federated Learning by MixStyle Approximation
Manuel Roder
Leon Heller
Maximilian Münch
Frank-Michael Schleif
27
1
0
12 Dec 2023
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot
  Class-Incremental Learning
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning
Shuangmei Wang
Yang Cao
Tieru Wu
CLL
75
0
0
07 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion
GeNIe: Generative Hard Negative Images Through Diffusion
Soroush Abbasi Koohpayegani
Anuj Singh
K. Navaneet
Hadi Jamali Rad
Hamed Pirsiavash
VLMDiffM
131
4
0
05 Dec 2023
A transductive few-shot learning approach for classification of digital
  histopathological slides from liver cancer
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer
Aymen Sadraoui
Ségolène Martin
Eliott Barbot
A. Laurent-Bellue
J. Pesquet
Catherine Guettier
Ismail Ben Ayed
MedIm
108
2
0
29 Nov 2023
Robust Transductive Few-shot Learning via Joint Message Passing and
  Prototype-based Soft-label Propagation
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation
Jiahui Wang
Qin Xu
Bo Jiang
Bin Luo
95
0
0
28 Nov 2023
Query by Activity Video in the Wild
Query by Activity Video in the Wild
Tao Hu
William Thong
Pascal Mettes
Cees G. M. Snoek
79
0
0
23 Nov 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A
  Comprehensive Study
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study
Kush Kothari
Bhavya Mehta
Reshmika Nambiar
S. Shrawne
73
0
0
21 Nov 2023
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge
Bufang Yang
Lixing He
Neiwen Ling
Zhenyu Yan
Guoliang Xing
Xian Shuai
Xiaozhe Ren
Xin Jiang
118
22
0
18 Nov 2023
Cross-dataset domain adaptation for the classification COVID-19 using
  chest computed tomography images
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images
R. Ouni
H. Alhichri
OOD
35
1
0
14 Nov 2023
CrashCar101: Procedural Generation for Damage Assessment
CrashCar101: Procedural Generation for Damage Assessment
Jens Parslov
Erik Riise
Dim P. Papadopoulos
77
1
0
11 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang
Aly A. Khan
Yuxin Chen
Robert L. Grossman
81
0
0
09 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised
  Learning
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
Artyom Gadetsky
Maria Brbić
69
7
0
06 Nov 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set
  Labeling
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
Wonho Bae
Jing Wang
Danica J. Sutherland
94
1
0
06 Nov 2023
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot
  Classification
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
Hao Zheng
Runqi Wang
Jianzhuang Liu
Asako Kanezaki
77
8
0
04 Nov 2023
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
Min Jae Jung
S. Han
Joohee Kim
129
14
0
01 Nov 2023
Investigating Relative Performance of Transfer and Meta Learning
Investigating Relative Performance of Transfer and Meta Learning
Benji Alwis
29
0
0
31 Oct 2023
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental
  Learning
Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning
Fuyuan Hu
Jian Zhang
Fan Lyu
Linyan Li
Fenglei Xu
CLL
84
3
0
31 Oct 2023
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
Michalis Lazarou
Yannis Avrithis
Guangyu Ren
Tania Stathaki
70
0
0
30 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Jiayi Shen
Xiantong Zhen
Qi
Qi Wang
M. Worring
81
12
0
28 Oct 2023
Learning Repeatable Speech Embeddings Using An Intra-class Correlation
  Regularizer
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer
Jianwei Zhang
Suren Jayasuriya
Visar Berisha
SSL
86
2
0
25 Oct 2023
Solving Expensive Optimization Problems in Dynamic Environments with
  Meta-learning
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning
Huan Zhang
Jinliang Ding
Liang Feng
Kay Chen Tan
Ke Li
73
7
0
19 Oct 2023
Not Just Learning from Others but Relying on Yourself: A New Perspective
  on Few-Shot Segmentation in Remote Sensing
Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing
Hanbo Bi
Yingchao Feng
Zhiyuan Yan
Yongqiang Mao
Wenhui Diao
Hongqi Wang
Xian Sun
51
19
0
19 Oct 2023
Context-Aware Meta-Learning
Context-Aware Meta-Learning
Christopher Fifty
Dennis Duan
Ronald G. Junkins
Ehsan Amid
Jurij Leskovec
Christopher Ré
Sebastian Thrun
LRMVLMMLLM
86
12
0
17 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following
  Strategies
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Kieran Wood
Samuel Kessler
Stephen J. Roberts
S. Zohren
AI4TS
85
2
0
16 Oct 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for
  Few-Shot Classification
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
Tianjun Ke
Haoqun Cao
Zenan Ling
Feng Zhou
UQCV
64
8
0
16 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image
  Classification
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification
Qianyu Guo
Huifang Du
Xing Jia
Shuyong Gao
Yan Teng
Haofen Wang
Wenqiang Zhang
MedImVLM
77
0
0
14 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning
Subspace Adaptation Prior for Few-Shot Learning
Mike Huisman
Aske Plaat
Jan N. van Rijn
VLM
66
2
0
13 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning
  Techniques
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
Mike Huisman
Aske Plaat
Jan N. van Rijn
MLT
85
9
0
09 Oct 2023
PatchProto Networks for Few-shot Visual Anomaly Classification
PatchProto Networks for Few-shot Visual Anomaly Classification
Jian Wang
Yue Zhuo
55
0
0
07 Oct 2023
Coloring Deep CNN Layers with Activation Hue Loss
Coloring Deep CNN Layers with Activation Hue Loss
Louis-Franccois Bouchard
Mohsen Ben Lazreg
Matthew Toews
LLMSV
54
0
0
05 Oct 2023
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning
Vaibhav Ganatra
65
3
0
28 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning
Domain Adaptive Few-Shot Open-Set Learning
Debabrata Pal
Deeptej More
Sai Bhargav
Dipesh Tamboli
Vaneet Aggarwal
Biplab Banerjee
75
2
0
22 Sep 2023
A Systematic Review of Few-Shot Learning in Medical Imaging
A Systematic Review of Few-Shot Learning in Medical Imaging
Eva Pachetti
Sara Colantonio
108
22
0
20 Sep 2023
Weak Supervision for Label Efficient Visual Bug Detection
Weak Supervision for Label Efficient Visual Bug Detection
F. Rahman
73
2
0
20 Sep 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual
  Categorization in Few-Shot Conditions
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
Tianxu Wu
Shuo Ye
Shuhuang Chen
Qinmu Peng
Xinge You
DiffM
85
3
0
15 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning
  and Minimax Entropy
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
Jiaren Xiao
Quanyu Dai
X. Shen
Xiaochen Xie
Jing Dai
James Lam
Ka-Wai Kwok
59
7
0
14 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Aroof Aimen
Arsh Verma
Makarand Tapaswi
N. C. Krishnan
86
0
0
08 Sep 2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
Sarinda Samarasinghe
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
87
11
0
07 Sep 2023
Text-to-feature diffusion for audio-visual few-shot learning
Text-to-feature diffusion for audio-visual few-shot learning
Otniel-Bogdan Mercea
Thomas Hummel
A. Sophia Koepke
Zeynep Akata
VLM
84
2
0
07 Sep 2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot
  Learning
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning
Siyang Jiang
Rui Fang
Hsi-Wen Chen
Wei Ding
Ming-Syan Chen
87
1
0
05 Sep 2023
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random
  Discriminative Subspaces
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces
Kshitiz
Garvit Garg
Angshuman Paul
16
1
0
31 Aug 2023
Trustworthy Representation Learning Across Domains
Trustworthy Representation Learning Across Domains
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Zhixuan Chu
Xiang Yu
Sheng Li
FaMLAI4TS
98
2
0
23 Aug 2023
META-SELD: Meta-Learning for Fast Adaptation to the new environment in
  Sound Event Localization and Detection
META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection
Jinbo Hu
Yin Cao
Ming Wu
Feiran Yang
Ziying Yu
Wenwu Wang
Mark D. Plumbley
J. Yang
VLM
85
6
0
17 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in
  Recommender Systems?
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
Davide Buffelli
Ashish Gupta
Agnieszka Strzalka
Vassilis Plachouras
OffRLLRM
80
2
0
16 Aug 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional
  Transport
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
Long Tian
Jing Feng
Wenchao Chen
Xiaoqiang Chai
Liming Wang
Xiyang Liu
Bo Chen
102
14
0
06 Aug 2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
Hengchu Lu
Yuanjie Shao
Xiang Wang
Changxin Gao
65
1
0
01 Aug 2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in
  Robotics
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
Ali Ayub
Alan R. Wagner
CLL
90
4
0
31 Jul 2023
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