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Rethinking Generalization in Few-Shot Classification
v1v2v3 (latest)

Rethinking Generalization in Few-Shot Classification

Neural Information Processing Systems (NeurIPS), 2022
15 June 2022
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
    OCLVLM
ArXiv (abs)PDFHTML

Papers citing "Rethinking Generalization in Few-Shot Classification"

31 / 31 papers shown
Title
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Hao Tang
Shengfeng He
Jing Qin
160
2
0
13 Oct 2025
VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
Wenhao Li
Qiangchang Wang
Xianjing Meng
Z. Wu
Yilong Yin
VLM
308
0
0
29 Sep 2025
BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
Mohammed Al-Habib
Zuping Zhang
Abdulrahman Noman
96
0
0
16 Sep 2025
Stochastic-based Patch Filtering for Few-Shot Learning
Stochastic-based Patch Filtering for Few-Shot Learning
Javier Rodenas
Eduardo Aguilar
Petia Radeva
52
0
0
13 Aug 2025
Slot Attention-based Feature Filtering for Few-Shot Learning
Slot Attention-based Feature Filtering for Few-Shot Learning
Javier Rodenas
Eduardo Aguilar
Petia Radeva
92
0
0
13 Aug 2025
Color as the Impetus: Transforming Few-Shot Learner
Color as the Impetus: Transforming Few-Shot Learner
Chaofei Qi
Zhitai Liu
Jianbin Qiu
VLM
227
0
0
29 Jul 2025
MetaLab: Few-Shot Game Changer for Image Recognition
MetaLab: Few-Shot Game Changer for Image Recognition
Chaofei Qi
Zhitai Liu
Jianbin Qiu
138
0
0
29 Jul 2025
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
Kexin Di
Xiuxing Li
Yuyang Han
Ziyu Li
Qing Li
Xia Wu
VLM
198
0
0
10 Mar 2025
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for
  Few-shot Learning between inter class and intra class
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra classInternational Conference on Artificial Neural Networks (ICANN), 2024
Qian Qiao
Yu Xie
Shaoyao Huang
Fanzhang Li
262
0
0
12 Aug 2024
Siamese Transformer Networks for Few-shot Image Classification
Siamese Transformer Networks for Few-shot Image Classification
Weihao Jiang
Shuoxi Zhang
Kun He
ViT
303
0
0
16 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
210
1
0
02 Jul 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision
  and Text
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
Yuyu Jia
Qing Zhou
Wei Huang
Junyu Gao
Qi. Wang
VLM
218
2
0
21 May 2024
Class-relevant Patch Embedding Selection for Few-Shot Image
  Classification
Class-relevant Patch Embedding Selection for Few-Shot Image Classification
Weihao Jiang
Haoyang Cui
Kun He
VLM
202
2
0
06 May 2024
Intra-task Mutual Attention based Vision Transformer for Few-Shot
  Learning
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning
Weihao Jiang
Yu Xie
Kun He
ViT
290
1
0
06 May 2024
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping
  through Zero-shot Foundation Models
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models
Leonardo Barcellona
Alberto Bacchin
Matteo Terreran
Emanuele Menegatti
Stefano Ghidoni
159
4
0
19 Apr 2024
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
Selim Furkan Tekin
Fatih Ilhan
Tiansheng Huang
Sihao Hu
Ka-Ho Chow
Margaret Loper
Ling Liu
213
2
0
05 Apr 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space
  Adaptation for Cross-Domain Few-Shot Learning
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
Rashindrie Perera
Saman K. Halgamuge
337
11
0
07 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and
  Applications
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
321
1
0
06 Mar 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for
  Optimized Learning Fusion
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
Zijun Long
George Killick
Lipeng Zhuang
Gerardo Aragon Camarasa
Zaiqiao Meng
R. McCreadie
VLM
213
7
0
22 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis
Hadi Jamali Rad
247
7
0
04 Feb 2024
Simple Semantic-Aided Few-Shot Learning
Simple Semantic-Aided Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2023
Hai Zhang
Junzhe Xu
Shanlin Jiang
Zhenan He
VLM
274
29
0
30 Nov 2023
CHIP: Contrastive Hierarchical Image Pretraining
CHIP: Contrastive Hierarchical Image Pretraining
Arpit Mittal
Harshil Jhaveri
Swapnil Mallick
Abhishek Ajmera
VLM
112
0
0
12 Oct 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
Hui Xiong
VLMViT
356
7
0
05 Oct 2023
Mitigating the Effect of Incidental Correlations on Part-based Learning
Mitigating the Effect of Incidental Correlations on Part-based LearningNeural Information Processing Systems (NeurIPS), 2023
Gaurav Bhatt
Deepayan Das
Leonid Sigal
Vineeth N. Balasubramanian
186
7
0
30 Sep 2023
Masking Strategies for Background Bias Removal in Computer Vision Models
Masking Strategies for Background Bias Removal in Computer Vision Models
Ananthu Aniraj
C. Dantas
Dino Ienco
Diego Marcos
OODOCL
278
10
0
23 Aug 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification
Task-Oriented Channel Attention for Fine-Grained Few-Shot ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Subeen Lee
WonJun Moon
Hyun Seok Seong
Jae-Pil Heo
193
5
0
28 Jul 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and
  Outlook of Recent Work
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work
Qiangchang Wang
Yilong Yin
292
1
0
02 Jun 2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation
  Learning
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning
Jin Yuan
Yang Zhang
Yangzhou Du
Peng Wang
Xin Geng
Jianping Fan
Yong Rui
244
0
0
30 May 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
Strong Baselines for Parameter Efficient Few-Shot Fine-tuningAAAI Conference on Artificial Intelligence (AAAI), 2023
S. Basu
Daniela Massiceti
S. Hu
Soheil Feizi
VLM
168
45
0
04 Apr 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers
Supervised Masked Knowledge Distillation for Few-Shot TransformersComputer Vision and Pattern Recognition (CVPR), 2023
Hanxi Lin
G. Han
Jiawei Ma
Shiyuan Huang
Xudong Lin
Shih-Fu Chang
324
48
0
25 Mar 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Contrastive Meta-Learning for Partially Observable Few-Shot LearningInternational Conference on Learning Representations (ICLR), 2023
Adam Jelley
Amos Storkey
Antreas Antoniou
Sam Devlin
176
7
0
30 Jan 2023
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