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Achieve state-of-the-art video polyp segmentation by adaptively selecting informative reference frames and aggregating multi-scale historical features with causal attention.
Medical VLMs get a calibration boost without training or labels: LATA sharpens predictions by smoothing over a k-NN graph, shrinking prediction sets and balancing class coverage.
