Fully Self-Supervised Out-of-Domain Few-Shot Learning with Masked Autoencoders

Few-shot learning aims to identify unseen classes with limited labelled data. Recent few-shot learning techniques have shown success in generalizing to unseen classes; however, the performance of these techniques has also been shown to degrade when tested on an out-of-domain setting. Previous work,...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Reece Walsh, Islam Osman, Omar Abdelaziz, Mohamed S. Shehata
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-01-01
coleção:	Journal of Imaging
Assuntos:	few-shot learning self-supervised image classification out-of-domain
Acesso em linha:	https://www.mdpi.com/2313-433X/10/1/23
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!