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Enhancing Few-Shot Image Classification with Unlabelled Examples

17 June 2020

Peyman Bateni

Jarred Barber

Jan-Willem van de Meent

Frank Wood

VLM

SSL

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Papers citing "Enhancing Few-Shot Image Classification with Unlabelled Examples"

30 / 30 papers shown

Title
Reliable Few-shot Learning under Dual Noises Ji Zhang Jingkuan Song Lianli Gao N. Sebe Heng Tao Shen NoLa 38 0 0 19 Jun 2025
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning Ruixiao Shi Fu Feng Yucheng Xie Jing Wang Xin Geng 73 0 0 13 May 2025
Transductive One-Shot Learning Meet Subspace Decomposition Kyle Stein A. Mahyari Guillermo Francia III Eman El-Sheikh VLM 118 1 0 01 Apr 2025
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 130 1 0 05 Jun 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning Yuwei Tang Zhenyi Lin Qilong Wang Pengfei Zhu Qinghua Hu 71 16 0 13 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Talal Alrawajfeh Arno Solin 124 0 0 11 Apr 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning Rashindrie Perera Saman K. Halgamuge 99 2 0 07 Mar 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 91 5 0 04 Feb 2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition Hefeng Wu Guangzhi Ye Ziyang Zhou Ling Tian Qing Wang Liang Lin 76 3 0 13 Jan 2024
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 131 4 0 05 Dec 2023
Context-Aware Meta-Learning Christopher Fifty Dennis Duan Ronald G. Junkins Ehsan Amid Jurij Leskovec Christopher Ré Sebastian Thrun LRM VLM MLLM 86 12 0 17 Oct 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 102 0 0 04 Sep 2023
Few-shot Image Classification based on Gradual Machine Learning Nanway Chen Xianming Kuang Feiyu Liu K. Wang Qun Chen CLL VLM 84 3 0 28 Jul 2023
Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis Łukasz Dudziak Da Li Timothy M. Hospedales 81 4 0 15 Jun 2023
Meta-DM: Applications of Diffusion Models on Few-Shot Learning W. Hu Xiurong Jiang Jiarun Liu Yuqi Yang Hui Tian DiffM 85 7 0 14 May 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B. Demirel Orhun Bugra Baran R. G. Cinbis 113 12 0 24 Apr 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 118 21 0 11 Mar 2023
A Statistical Model for Predicting Generalization in Few-Shot Classification Yassir Bendou Vincent Gripon Bastien Pasdeloup Lukas Mauch Stefan Uhlich Fabien Cardinaux G. B. Hacene Javier Alonso García 93 2 0 13 Dec 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 87 13 0 13 Nov 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning Ojas Kishorkumar Shirekar Ashutosh Kumar Singh Hadi Jamali Rad 90 6 0 12 Oct 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 96 0 0 03 Sep 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 101 52 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 116 17 0 22 Aug 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 128 391 0 13 May 2022
Feature Extractor Stacking for Cross-domain Few-shot Learning Hongyu Wang Eibe Frank Bernhard Pfahringer Michael Mayo G. Holmes 73 5 0 12 May 2022
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 94 197 0 15 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 92 28 0 06 Apr 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 103 32 0 25 Mar 2022
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 93 9 0 13 Jan 2022
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 121 118 0 01 Jul 2021