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University of California, Merced, CA, USA
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LAViFiT achieves superior recognition of surgical interactions by ensuring that vision encoders focus on action-relevant regions, overcoming the limitations of traditional fine-tuning methods.
On-device LiDAR segmentation can now adapt 13x faster thanks to a hyperdimensional computing approach that learns from only the most informative points.