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Found 5 papers, 1 papers with code
Adapting SAM for Surgical Instrument Tracking and Segmentation in Endoscopic Submucosal Dissection Videos
Specifically, with a tiny subset of frames for segmentation, we ensure accurate segmentation across the entire surgical video.
OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery
Existing algorithms dedicated to surgical activity recognition predominantly cater to pre-defined closed-set paradigms, ignoring the challenges of real-world open-set scenarios.
SAVAnet: Surgical Action-Driven Visual Attention Network for Autonomous Endoscope Control
Finally, the simulation results show that the SAVAnet can endow endoscope with surgeons’ visual attention to perform self-control in real time.
BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection
Thermal infrared (TIR) image has proven effectiveness in providing temperature cues to the RGB features for multispectral pedestrian detection.
Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking
By minimizing the difference between the practical and the scheduled ideal consistency map, the consistency level is constrained to maintain temporal smoothness, and rich temporal information contained in response maps is introduced.
