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A Closer Look at Few-shot Classification

8 April 2019

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

50 / 845 papers shown

Title
The Balanced-Pairwise-Affinities Feature Transform Daniel Shalam Simon Korman 108 1 0 25 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 96 2 0 24 Jun 2024
Self-Supervised and Few-Shot Learning for Robust Bioaerosol Monitoring Adrian Willi Pascal Baumann Sophie Erb Fabian Gröger Yanick Zeder Simone Lionetti 52 0 0 14 Jun 2024
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation Yong Wu Yang Wang Sanqing Qu Zhijun Li Guang Chen 105 1 0 13 Jun 2024
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 98 3 0 09 Jun 2024
OVMR: Open-Vocabulary Recognition with Multi-Modal References Zehong Ma Shiliang Zhang Longhui Wei Qi Tian VLM 104 0 0 07 Jun 2024
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models Georgia Markham M. Balamurali Andrew J. Hill 104 1 0 03 Jun 2024
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition Masashi Hatano Ryo Hachiuma Ryoske Fujii Hideo Saito EgoV 98 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 141 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 57 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 101 1 0 08 May 2024
Class-relevant Patch Embedding Selection for Few-Shot Image Classification Weihao Jiang Haoyang Cui Kun He VLM 77 0 0 06 May 2024
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning Weihao Jiang Chang-Shu Liu Kun He ViT 110 0 0 06 May 2024
A separability-based approach to quantifying generalization: which layer is best? Luciano Dyballa Evan Gerritz Steven W. Zucker OOD 104 4 0 02 May 2024
Accelerating Convergence in Bayesian Few-Shot Classification Tianjun Ke Haoqun Cao Feng Zhou 101 0 0 02 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Leilei Gan Kun Kuang OODD 84 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 88 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 100 7 0 17 Apr 2024
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning Sungwon Han Jinsung Yoon Sercan O. Arik Tomas Pfister LMTD 94 32 0 15 Apr 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 90 1 0 12 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Talal Alrawajfeh Arno Solin 118 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 101 15 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 92 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 100 14 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 110 2 0 26 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 81 1 0 23 Mar 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
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications Minyang Hu Hong Chang Zong Guo Bingpeng Ma Shiguang Shan Xilin Chen VLM 107 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 109 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 84 4 0 06 Mar 2024
Few-shot Learner Parameterization by Diffusion Time-steps Zhongqi Yue Pan Zhou Richang Hong Hanwang Zhang Qianru Sun 107 12 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 86 7 0 01 Mar 2024
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds H. Tabealhojeh S. Roy Peyman Adibi Hossein Karshenas 79 0 0 28 Feb 2024
NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning Yali Bian Rebecca Faust Chris North HAI 32 0 0 27 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot Learning Branislav Pecher Ivan Srba Maria Bielikova Joaquin Vanschoren 95 2 0 05 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis Hadi Jamali Rad 91 5 0 04 Feb 2024
Episodic-free Task Selection for Few-shot Learning Tao Zhang 68 0 0 31 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space A. Mottaghi Mohammad Abdullah Jamal Serena Yeung Omid Mohareri 76 1 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 59 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 66 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 78 15 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 85 8 0 16 Jan 2024
Transferring Core Knowledge via Learngenes Fu Feng Jing Wang Xin Geng 106 7 0 16 Jan 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 67 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 132 20 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 77 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 78 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 86 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 71 5 0 18 Dec 2023
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback Boaz Lerner N. Darshan Rami Ben-Ari 70 1 0 18 Dec 2023