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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...

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Principais autores: 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
Idioma:Inglês
Publicado em: MDPI AG 2024-02-01
coleção:Remote Sensing
Assuntos:
foundation model
artificial intelligence
mapping
zero-shot
segmentation
GeoAI
Acesso em linha:https://www.mdpi.com/2072-4292/16/5/797
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