A multi-frame network with SAM 3-derived mask priors achieves 72.4% F1 tip and 58.0% F1 anchor localization in surgical videos without manual mask annotations for training.
Computer Assisted Surgery22(sup1), 26–35 (2017)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Dense Structural Priors for Sparse Functional Landmark Localization in Surgical Videos
A multi-frame network with SAM 3-derived mask priors achieves 72.4% F1 tip and 58.0% F1 anchor localization in surgical videos without manual mask annotations for training.