Papers Generalized Few-Shot Classification

“Generalized Few-Shot Classification” 태그가 달린 논문 2편 · 필터 해제

Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains

2021-12-27 · Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang

Few-shot classification aims to carry out classification given only few labeled examples for the categories of interest. Though several approaches have been proposed, most existing few-shot learning (FSL) models assume t…

Classification Few-Shot Learning Generalized Few-Shot Classification Meta-Learning+1

Few-Shot Learning with Global Class Representations

2019-08-14 · ICCV 2019 10 · Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang 외

In this paper, we propose to tackle the challenging few-shot learning (FSL) problem by learning global class representations using both base and novel class training samples. In each training episode, an episodic class m…

Few-Shot Image Classification Few-Shot Learning Generalized Few-Shot Classification Meta-Learning