A ViT-LSTM spatiotemporal model detects surgical instrument handovers and classifies direction in videos, achieving F1 of 0.84 for detection and 0.72 mean F1 for direction on kidney transplant data.
Trans-svnet: Accurate phase recogni- tion from surgical videos via hybrid embedding aggregation transformer.CoRR, abs/2103.09712
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
-
Event-Level Detection of Surgical Instrument Handovers in Videos with Interpretable Vision Models
A ViT-LSTM spatiotemporal model detects surgical instrument handovers and classifies direction in videos, achieving F1 of 0.84 for detection and 0.72 mean F1 for direction on kidney transplant data.