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Queries Knew More Than We Thought: Uncovering Latent Knowledge in Segmentation Models
Modern segmenters often fail after the expensive computation has already been done: a useful mask is present among the model's query-conditioned candidates, but the deployed selection rule does not expose it. We study this output-selection bottleneck in frozen DETR-family models. A ground-truth-only
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