Foundation Models for Generalist Geospatial Artificial Intelligence
Foundation Models for Generalist Geospatial Artificial Intelligence
About this item
Full title
Author / Creator
Jakubik, Johannes , Roy, Sujit , Phillips, C E , Fraccaro, Paolo , Godwin, Denys , Zadrozny, Bianca , Szwarcman, Daniela , Gomes, Carlos , Nyirjesy, Gabby , Edwards, Blair , Kimura, Daiki , Simumba, Naomi , Chu, Linsong , S Karthik Mukkavilli , Lambhate, Devyani , Das, Kamal , Bangalore, Ranjini , Oliveira, Dario , Muszynski, Michal , Kumar, Ankur , Ramasubramanian, Muthukumaran , Gurung, Iksha , Khallaghi, Sam , Hanxi , Li , Cecil, Michael , Ahmadi, Maryam , Kordi, Fatemeh , Alemohammad, Hamed , Maskey, Manil , Ganti, Raghu , Weldemariam, Kommy and Ramachandran, Rahul
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
Significant progress in the development of highly adaptable and reusable Artificial Intelligence (AI) models is expected to have a significant impact on Earth science and remote sensing. Foundation models are pre-trained on large unlabeled datasets through self-supervision, and then fine-tuned for various downstream tasks with small labeled dataset...
Alternative Titles
Full title
Foundation Models for Generalist Geospatial Artificial Intelligence
Authors, Artists and Contributors
Author / Creator
Roy, Sujit
Phillips, C E
Fraccaro, Paolo
Godwin, Denys
Zadrozny, Bianca
Szwarcman, Daniela
Gomes, Carlos
Nyirjesy, Gabby
Edwards, Blair
Kimura, Daiki
Simumba, Naomi
Chu, Linsong
S Karthik Mukkavilli
Lambhate, Devyani
Das, Kamal
Bangalore, Ranjini
Oliveira, Dario
Muszynski, Michal
Kumar, Ankur
Ramasubramanian, Muthukumaran
Gurung, Iksha
Khallaghi, Sam
Hanxi
Li
Cecil, Michael
Ahmadi, Maryam
Kordi, Fatemeh
Alemohammad, Hamed
Maskey, Manil
Ganti, Raghu
Weldemariam, Kommy
Ramachandran, Rahul
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2884470480
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2884470480
Other Identifiers
E-ISSN
2331-8422
