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A Closer Look at Few-shot Classification

A Closer Look at Few-shot Classification

8 April 2019
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
ArXivPDFHTML

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

50 / 842 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
Few-shot Novel Category Discovery
Few-shot Novel Category Discovery
Chunming Li
Shidong Wang
Haofeng Zhang
31
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
43
0
0
09 May 2025
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
Ruxue Shi
Hengrui Gu
Hangting Ye
Yiwei Dai
Xu Shen
Xin Wang
LMTD
63
0
0
08 May 2025
An Automated Pipeline for Few-Shot Bird Call Classification: A Case Study with the Tooth-Billed Pigeon
An Automated Pipeline for Few-Shot Bird Call Classification: A Case Study with the Tooth-Billed Pigeon
Abhishek Jana
Moeumu Uili
James Atherton
Mark O'Brien
Joe Wood
Leandra Brickson
47
0
0
22 Apr 2025
Chain-of-Thought Textual Reasoning for Few-shot Temporal Action Localization
Chain-of-Thought Textual Reasoning for Few-shot Temporal Action Localization
Hongwei Ji
Wulian Yun
Mengshi Qi
Huadong Ma
LRM
151
0
0
18 Apr 2025
Memory-Modular Classification: Learning to Generalize with Memory Replacement
Memory-Modular Classification: Learning to Generalize with Memory Replacement
Dahyun Kang
Ahmet Iscen
Eunchan Jo
Sua Choi
Minsu Cho
Cordelia Schmid
VLM
KELM
OffRL
30
0
0
08 Apr 2025
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
Andrea Gajic
Sudip Vhaduri
OOD
VLM
51
0
0
05 Apr 2025
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Ming Cheng
Y. Wang
Deying Li
Chenhui Gou
Jianfei Cai
3DPC
92
0
0
15 Mar 2025
A Hypernetwork-Based Approach to KAN Representation of Audio Signals
Patryk Marszałek
Maciej Rut
Piotr Kawa
P. Syga
42
0
0
04 Mar 2025
Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model
Zihao Luo
Zijun Gao
Wenjun Liao
Shichuan Zhang
Guotai Wang
Xiangde Luo
43
0
0
02 Mar 2025
Active Few-Shot Learning for Text Classification
Active Few-Shot Learning for Text Classification
Saeed Ahmadnia
Arash Yousefi Jordehi
Mahsa Hosseini Khasheh Heyran
Seyed Abolghasem Mirroshandel
Owen Rambow
Cornelia Caragea
58
0
0
26 Feb 2025
Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation
Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation
Haocheng Tang
Jing Long
Junmei Wang
GAN
53
0
0
23 Feb 2025
Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
Mohammed Abdul Hafeez Khan
Samuel Morries Boddepalli
S. Bhattacharyya
Debasis Mitra
45
0
0
10 Feb 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
56
4
0
28 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
85
3
0
17 Jan 2025
iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings
iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings
Shuhei Tomoshige
Hayato Muraki
K. Oishi
Hitoshi Iyatomi
21
0
0
03 Jan 2025
Uncertainty Herding: One Active Learning Method for All Label Budgets
Uncertainty Herding: One Active Learning Method for All Label Budgets
Wonho Bae
Gabriel L. Oliveira
Danica J. Sutherland
UQCV
150
0
0
30 Dec 2024
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
84
0
0
21 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental
  Learning
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
Pengfei Fang
Yongchun Qin
H. Xue
CLL
67
0
0
15 Dec 2024
Multi-Level Correlation Network For Few-Shot Image Classification
Multi-Level Correlation Network For Few-Shot Image Classification
Yunkai Dang
M. Zhang
Zhengyu Chen
Xinliang Zhang
Zheng Wang
Meijun Sun
Donglin Wang
86
1
0
04 Dec 2024
Neuromodulated Meta-Learning
Neuromodulated Meta-Learning
Jingyao Wang
Huijie Guo
Wenwen Qiang
Jiangmeng Li
Changwen Zheng
Hui Xiong
Gang Hua
61
0
0
11 Nov 2024
Benchmarking Pathology Foundation Models: Adaptation Strategies and
  Scenarios
Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios
Jeaung Lee
Jeewoo Lim
Keunho Byeon
Jin Tae Kwak
40
3
0
21 Oct 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
Hongduan Tian
Feng Liu
Zhanke Zhou
Tongliang Liu
Chengqi Zhang
Bo Han
VLM
37
1
0
16 Oct 2024
Transforming Game Play: A Comparative Study of DCQN and DTQN
  Architectures in Reinforcement Learning
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning
William A. Stigall
62
0
0
14 Oct 2024
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task
  Construction for Few-Shot Classification
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification
Yunchuan Guan
Yu Liu
Ketong Liu
Ke Zhou
Zhiqi Shen
15
0
0
03 Oct 2024
Learning to Obstruct Few-Shot Image Classification over Restricted
  Classes
Learning to Obstruct Few-Shot Image Classification over Restricted Classes
Amber Yijia Zheng
Chiao-An Yang
Raymond A. Yeh
29
1
0
28 Sep 2024
Rethinking Meta-Learning from a Learning Lens
Rethinking Meta-Learning from a Learning Lens
Jingyao Wang
Wenwen Qiang
Chuxiong Sun
Lingyu Si
Jiangmeng Li
46
1
0
13 Sep 2024
Efficient and Reliable Vector Similarity Search Using Asymmetric
  Encoding with NAND-Flash for Many-Class Few-Shot Learning
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning
Hao-Wei Chiang
Chi-Tse Huang
Hsiang-Yun Cheng
P. Tseng
Ming-Hsiu Lee
An-Yeu
Wu
16
0
0
12 Sep 2024
Music auto-tagging in the long tail: A few-shot approach
Music auto-tagging in the long tail: A few-shot approach
T. A. Ma
Alexander Lerch
VLM
25
0
0
12 Sep 2024
Large Margin Prototypical Network for Few-shot Relation Classification
  with Fine-grained Features
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features
M. Fan
Yeqi Bai
Mingming Sun
Ping Li
28
32
0
06 Sep 2024
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
Zhenyu Zhang
Guangyao Chen
Yixiong Zou
Zhimeng Huang
Yuhua Li
Ruixuan Li
VLM
31
2
0
23 Aug 2024
Envisioning Class Entity Reasoning by Large Language Models for Few-shot
  Learning
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
Mushui Liu
Fangtai Wu
Bozheng Li
Ziqian Lu
Yunlong Yu
Xi Li
VLM
33
1
0
22 Aug 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond
Towards Few-Shot Learning in the Open World: A Review and Beyond
Hui Xue
Yuexuan An
Yongchun Qin
Wenqian Li
Yixin Wu
Yongjuan Che
Pengfei Fang
Minling Zhang
OffRL
51
1
0
19 Aug 2024
Learn To Learn More Precisely
Learn To Learn More Precisely
Runxi Cheng
Yongxian Wei
Xianglong He
Wanyun Zhu
Songsong Huang
Fei Richard Yu
Fei Ma
Chun Yuan
34
0
0
08 Aug 2024
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment
  Gaps
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps
Yifan Zhu
Pranay Thangeda
Erica Tevere
Ashish Goel
Erik Kramer
Hari Nayar
Melkior Ornik
Kris K. Hauser
27
0
0
06 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier
  Logits
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits
Mateusz Ochal
Massimiliano Patacchiola
Malik Boudiaf
Sen Wang
35
0
0
04 Aug 2024
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot
  Action Recognition
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition
Congqi Cao
Guibiao Liao
Yating Yu
Kanglin Liu
Lingtong Min
Yanning Zhang
30
4
0
01 Aug 2024
Improved Few-Shot Image Classification Through Multiple-Choice Questions
Improved Few-Shot Image Classification Through Multiple-Choice Questions
Dipika Khullar
Emmett Goodman
Negin Sokhandan
42
0
0
23 Jul 2024
Siamese Transformer Networks for Few-shot Image Classification
Siamese Transformer Networks for Few-shot Image Classification
Weihao Jiang
Shuoxi Zhang
Kun He
ViT
36
0
0
16 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for
  Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Bernard Ghanem
Liqiang Nie
Min Zhang
Mamba
41
5
0
08 Jul 2024
Smart Vision-Language Reasoners
Smart Vision-Language Reasoners
Denisa Roberts
Lucas Roberts
VLM
ReLM
LRM
46
4
0
05 Jul 2024
Hybrid Feature Collaborative Reconstruction Network for Few-Shot
  Fine-Grained Image Classification
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification
Shulei Qiu
Wanqi Yang
Ming Yang
27
0
0
02 Jul 2024
Unleash the Power of Local Representations for Few-Shot Classification
Unleash the Power of Local Representations for Few-Shot Classification
Shi Tang
Guiming Luo
Xinchen Ye
Zhiyi Xia
26
0
0
02 Jul 2024
The Balanced-Pairwise-Affinities Feature Transform
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam
Simon Korman
35
0
0
25 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware
  Prompting
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang
Qing Cai
Feng Gao
Lin Qi
Junyu Dong
36
1
0
24 Jun 2024
Self-Supervised and Few-Shot Learning for Robust Bioaerosol Monitoring
Self-Supervised and Few-Shot Learning for Robust Bioaerosol Monitoring
Adrian Willi
Pascal Baumann
Sophie Erb
Fabian Gröger
Yanick Zeder
Simone Lionetti
16
0
0
14 Jun 2024
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
Yong Wu
Yang Wang
Sanqing Qu
Zhijun Li
Guang Chen
32
1
0
13 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A
  Meta-Learning Approach
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
Georgios Tsoumplekas
C. Athanasiadis
Dimitrios I. Doukas
Antonios C. Chrysopoulos
P. Mitkas
AI4TS
32
3
0
09 Jun 2024
OVMR: Open-Vocabulary Recognition with Multi-Modal References
OVMR: Open-Vocabulary Recognition with Multi-Modal References
Zehong Ma
Shiliang Zhang
Longhui Wei
Qi Tian
VLM
36
0
0
07 Jun 2024
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