SAMannot: A Memory-Efficient, Local, Open-Source Framework for Interactive Video Instance Segmentation Based on SAM2
Authors
Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest
Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest; Faculty of Informatics, Eötvös Loránd University, Budapest
DOI: https://doi.org/10.5334/jors.680 | Journal eISSN: 2049-9647
Language: English
Submitted on: Jan 16, 2026
Accepted on: Mar 26, 2026
Published on: Apr 20, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2026 Gergely Dinya, András Gelencsér, Krisztina Kupán, Clemens Küpper, Kristóf Karacs, Anna Gelencsér-Horváth, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.