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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| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Ubiquity Press
2026-04-01
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| Seri Bilgileri: | Journal of Open Research Software |
| Konular: | |
| Online Erişim: | https://account.openresearchsoftware.metajnl.com/index.php/up-j-jors/article/view/680 |
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