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,...

Descripción completa

Detalles Bibliográficos

Autores principales:	Reece Walsh, Islam Osman, Omar Abdelaziz, Mohamed S. Shehata
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-01-01
Colección:	Journal of Imaging
Materias:	few-shot learning self-supervised image classification out-of-domain
Acceso en línea:	https://www.mdpi.com/2313-433X/10/1/23
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!