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Agents can now reliably navigate evolving environments by maintaining a probabilistic 4D belief that accounts for hidden target movements and revises predictions based on intermittent, visibility-aware observations.
InstructSAM equips SAM with high-level instruction understanding and compositional reasoning for multi-instance segmentation, all without modifying SAM's core architecture.
A new unified LVLM, OmniCT, bridges the gap between slice-level detail and volumetric understanding in CT scans, outperforming existing methods by a significant margin.
