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Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning

Neural Networks (NN), 2020

1 April 2020

Papers citing "Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning"

9 / 9 papers shown

KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation ApproachArtificial Intelligence Applications and Innovations (AIAI), 2024

307

10 May 2024

Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification

197

03 Aug 2023

Few-Shot Object Detection with Proposal Balance RefinementInternational Conference on Pattern Recognition (ICPR), 2022

182

22 Apr 2022

Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning

Uche M. Osahor

Nasser M. Nasrabadi

142

18 Oct 2021

Local Propagation for Few-Shot LearningInternational Conference on Pattern Recognition (ICPR), 2021

Yann Lifchitz

Yannis Avrithis

Sylvaine Picard

205

05 Jan 2021

Weakly Supervised Label SmoothingEuropean Conference on Information Retrieval (ECIR), 2020

Gustavo Penha

C. Hauff

206

15 Dec 2020

Data Augmentation for Meta-Learning

203

14 Oct 2020

Few-shot Learning with LSSVM Base Learner and Transductive Modules

Haoqing Wang

Zhihong Deng

136

12 Sep 2020

Towards Understanding Label Smoothing

Hao Li

175

20 Jun 2020