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

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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
foundation model
artificial intelligence
mapping
zero-shot
segmentation
GeoAI
Online Access:https://www.mdpi.com/2072-4292/16/5/797

Internet

https://www.mdpi.com/2072-4292/16/5/797

Similar Items