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University of Toronto
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Text-guided 3D medical image segmentation just got a whole lot more practical: ESICA achieves state-of-the-art accuracy with a "Lite" variant that slashes parameter count without sacrificing performance.
Robots can now perform continuous mobile manipulation tasks with significantly improved reliability and efficiency by seamlessly switching between trajectory tracking and error compensation.