SAMannot: A Memory-Efficient, Local, Open-Source Framework for Interactive Video Instance Segmentation Based on SAM2

Current research workflows for precise video segmentation are often forced into a compromise between labor-intensive manual curation, costly commercial platforms, and/or privacy-compromising cloud-based services. The demand for high-fidelity video instance segmentation in research is often hindered...

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Bibliografische Detailangaben

Hauptverfasser:	Gergely Dinya, András Gelencsér, Krisztina Kupán, Clemens Küpper, Kristóf Karacs, Anna Gelencsér-Horváth
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Ubiquity Press 2026-04-01
Schriftenreihe:	Journal of Open Research Software
Schlagworte:	instance segmentation video annotation instance tracking instance labeling
Online-Zugang:	https://account.openresearchsoftware.metajnl.com/index.php/up-j-jors/article/view/680
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