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Contour-Guided Spectral Routing for Robust Real-Time Pedestrian Detection

arXiv · AI, language, vision and robotics · article · Sep 13, 2026 · UTC

Real-time pedestrian detection in driving scenes is constrained by three coupled failure modes: tiny targets lose discriminative evidence, occlusion weakens geometric support, and weather or illumination changes distort appearance statistics. We formulate the detector through a unified \emph{contour-guided spectral routing} view rather than treating frequency processing, attention, and boundary reasoning as independent add-ons. The detector routes information in a prescribed order: spatial evidence is first augmented with global spectral context, deep representations then exchange spatial and

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First collected: 2026-09-20T12:41:04.663Z. This is not the publication date.