TINYCD: a (not so) deep learning model for change detection
Crossref DOI link: https://doi.org/10.1007/s00521-022-08122-3
Published Online: 2022-12-18
Published Print: 2023-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Codegoni, Andrea https://orcid.org/0000-0001-8166-4981
Lombardi, Gabriele
Ferrari, Alessandro
Funding for this research was provided by:
SEA Vision s.r.l.
Text and Data Mining valid from 2022-12-18
Version of Record valid from 2022-12-18
Article History
Received: 16 August 2022
Accepted: 24 November 2022
First Online: 18 December 2022
Declarations
:
: The authors have no conflicts of interest to declare.