Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping

This paper assesses trending AI foundation models, especially emerging computer vision foundation models and their performance in natural landscape feature segmentation. While the term foundation model has quickly garnered interest from the geospatial domain, its definition remains vague. Hence, thi...

Descripción completa

Detalles Bibliográficos

Autores principales:	Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Yezhou Yang, Hyunho Lee, Anna Liljedahl, Chandi Witharana, Yili Yang, Brendan M. Rogers, Samantha T. Arundel, Matthew B. Jones, Kenton McHenry, Patricia Solis
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-02-01
Colección:	Remote Sensing
Materias:	foundation model artificial intelligence mapping zero-shot segmentation GeoAI
Acceso en línea:	https://www.mdpi.com/2072-4292/16/5/797
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!