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PanoSeeker achieves unprecedented search efficiency and segmentation accuracy in dynamic 360° environments, redefining how agents can actively perceive and interact with their surroundings.
MLLMs can now segment emerging entities with significantly improved accuracy thanks to ROSE, a retrieval-augmented framework that boosts performance by 19.2 gIoU over a Gemini-2.0 Flash baseline.