SOURCE-LINKED INTELLIGENCE

Hull First, Wake Second: Wake-Reliance Suppression for Robust Maritime Vessel Detection

arXiv · AI, language, vision and robotics · article · Aug 27, 2026 · UTC

Maritime vessel detectors often face scenes where hulls are small, low-contrast, or blurred, while wakes are longer and easier to detect. This creates a wake-reliance problem: detectors may miss slow or stationary vessels with weak wakes, or produce false positives on wake-like water clutter. We propose HullWake, a hull-first wake-second framework for robust maritime vessel detection. HullWake separates proposal-centered hull evidence from directional wake context, extracts wake cues with bidirectional proposal-anchored corridors, and suppresses wake-dominant predictions through wake response

Read original source ↗ Open in workspace

recordType

paper

region

Global