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Dproj, the total-variation defect between the language-goal distributions of inference-equivalent full and marginalized graphs, measures this directly and reproduces the full-graph oracle and reduces goal flips against every memory-reducing baseline.
Coarse, out-of-date GIS vectors can match dense human annotations when intermediate masks are repurposed as component-wise spatial prompts for targeted local refinement.
FWAV-Sim reveals that realistic turbulence and sensor modeling can dramatically enhance the autonomy of flapping-wing aerial vehicles, overcoming critical limitations of existing simulation platforms.
Even with comparable AUROC, standard VPR methods fail to provide valid conformal prediction guarantees under dataset shift, but SAFEVPR achieves empirical validity across diverse conditions by combining patch-based matching with specialized calibration.