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AI Laboratory
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SEGA3D achieves an impressive 8.3 mIoU improvement over previous methods, redefining the standards for 3D vision-language segmentation.
MATE achieves a 4.75% boost in robotic manipulation success rates under data scarcity by leveraging specialized expert routing across heterogeneous inputs.
