OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery

Understand

In the realm of automated robotic surgery and computer-assisted interventions, understanding robotic surgical activities stands paramount.

• Existing algorithms dedicated to surgical activity recognition predominantly cater to pre-defined closed-set paradigms, ignoring the challenges of real-world open-set scenarios.
• Such algorithms often falter in the presence of test samples originating from classes unseen during training phases.
• To tackle this problem, we introduce an innovative Open-Set Surgical Activity Recognition (OSSAR) framework.