A Closer Look at Few-shot Classification

8 April 2019

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

50 / 842 papers shown

Title
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models Georgia Markham M. Balamurali Andrew J. Hill 49 1 0 03 Jun 2024
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition Masashi Hatano Ryo Hachiuma Ryoske Fujii Hideo Saito EgoV 42 4 0 30 May 2024
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization Jordi Armengol-Estapé Vincent Michalski Ramnath Kumar P. St-Charles Doina Precup Samira Ebrahimi Kahou 35 0 0 29 May 2024
Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled Data Jie Zhang Yuhan Li Yude Wang Stephen Lin Shiguang Shan 35 0 0 14 May 2024
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning Haichen Zhou Yixiong Zou Ruixuan Li Yuhua Li Kui Xiao 34 1 0 08 May 2024
Class-relevant Patch Embedding Selection for Few-Shot Image Classification Weihao Jiang Haoyang Cui Kun He VLM 44 0 0 06 May 2024
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning Weihao Jiang Chang-Shu Liu Kun He ViT 64 0 0 06 May 2024
A separability-based approach to quantifying generalization: which layer is best? Luciano Dyballa Evan Gerritz Steven W. Zucker OOD 37 3 0 02 May 2024
Accelerating Convergence in Bayesian Few-Shot Classification Tianjun Ke Haoqun Cao Feng Zhou 47 0 0 02 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Fei Wu Kun Kuang OODD 24 12 0 30 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 36 0 0 25 Apr 2024
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach Mir Rayat Imtiaz Hossain Mennatullah Siam Leonid Sigal James J. Little VLM 38 6 0 17 Apr 2024
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning Sungwon Han Jinsung Yoon Sercan Ö. Arik Tomas Pfister LMTD 40 23 0 15 Apr 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 47 1 0 12 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 45 0 0 11 Apr 2024
Transductive Zero-Shot and Few-Shot CLIP Ségolène Martin Yunshi Huang Fereshteh Shakeri J. Pesquet Ismail Ben Ayed BDL VLM 35 13 0 08 Apr 2024
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 50 1 0 05 Apr 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning Noor Ahmed Anna Kukleva Bernt Schiele CLL 37 12 0 27 Mar 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification Eva Pachetti Sotirios A. Tsaftaris Sara Colantonio 35 2 0 26 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning Rashindrie Perera Saman K. Halgamuge 48 2 0 07 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications Minyang Hu Hong Chang Zong Guo Bingpeng Ma Shiguang Shan Xilin Chen VLM 29 1 0 06 Mar 2024
Boosting Meta-Training with Base Class Information for Few-Shot Learning Weihao Jiang Guodong Liu Di He Kun He CLL 46 1 0 06 Mar 2024
Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robots Ali Ayub Chrystopher L. Nehaniv Kerstin Dautenhahn CLL 36 3 0 06 Mar 2024
Few-shot Learner Parameterization by Diffusion Time-steps Zhongqi Yue Pan Zhou Richang Hong Hanwang Zhang Qianru Sun 36 11 0 05 Mar 2024
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning Yixiong Zou Yicong Liu Yiman Hu Yuhua Li Ruixuan Li 49 3 0 01 Mar 2024
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds H. Tabealhojeh S. Roy Peyman Adibi Hossein Karshenas 40 0 0 28 Feb 2024
NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning Yali Bian Rebecca Faust Chris North HAI 22 0 0 27 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot Learning Branislav Pecher Ivan Srba M. Bieliková Joaquin Vanschoren 34 1 0 05 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 28 5 0 04 Feb 2024
Episodic-free Task Selection for Few-shot Learning Tao Zhang 15 0 0 31 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space A. Mottaghi Mohammad Abdullah Jamal Serena Yeung Omid Mohareri 36 0 0 23 Jan 2024
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study Alejandro Galán-Cuenca Antonio Javier Gallego Marcelo Saval-Calvo A. Pertusa 32 6 0 18 Jan 2024
Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention Li Guo Haoming Liu Yuxuan Xia Chengyu Zhang Xiaochen Lu 28 0 0 18 Jan 2024
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information Linfeng Ye Shayan Mohajer Hamidi Renhao Tan En-Hui Yang VLM 37 12 0 16 Jan 2024
Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining Jiahao Nie Yun Xing Gongjie Zhang Pei Yan Aoran Xiao Yap-Peng Tan Alex C. Kot Shijian Lu 31 5 0 16 Jan 2024
Transferring Core Knowledge via Learngenes Fu Feng Jing Wang Xin Geng 50 5 0 16 Jan 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 29 0 0 10 Jan 2024
Does Few-shot Learning Suffer from Backdoor Attacks? Xinwei Liu Xiaojun Jia Jindong Gu Yuan Xun Siyuan Liang Xiaochun Cao 89 18 0 31 Dec 2023
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space Padmaksha Roy Tyler Cody Himanshu Singhal Kevin Choi Ming Jin OOD 26 1 0 28 Dec 2023
Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and Detection Jinbo Hu Yin Cao Ming Wu Qiuqiang Kong Feiran Yang Mark D. Plumbley Jun Yang 22 1 0 27 Dec 2023
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings Nikhil Mehta Kevin J Liang Jing Huang Fu-Jen Chu Li Yin Tal Hassner OODD 35 2 0 22 Dec 2023
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning Yongjin Yang Taehyeon Kim SeYoung Yun 35 4 0 18 Dec 2023
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback Boaz Lerner N. Darshan Rami Ben-Ari 34 1 0 18 Dec 2023
Improving Cross-domain Few-shot Classification with Multilayer Perceptron Shuanghao Bai Wanqi Zhou Zhirong Luan Donglin Wang Badong Chen 29 4 0 15 Dec 2023
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics Jenny Hamer Eleni Triantafillou B. V. Merrienboer Stefan Kahl Holger Klinck Tom Denton Vincent Dumoulin 44 14 0 12 Dec 2023
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification Kaipeng Zheng Weiran Huang Lichao Sun LM&MA MedIm VLM 29 0 0 12 Dec 2023
Efficient Cross-Domain Federated Learning by MixStyle Approximation Manuel Roder Leon Heller Maximilian Münch Frank-Michael Schleif 17 1 0 12 Dec 2023
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning Shuangmei Wang Yang Cao Tieru Wu CLL 28 0 0 07 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 26 4 0 05 Dec 2023