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A training-light approach boosts fisheye object detection by 80% by strategically addressing input distortion, feature misalignment, and decision-level fusion with minimal parameter updates.
PROVIA ranks mistakes best among the evaluated controlled baselines on CaptainCook4D, IndustReal, HoloAssist and IMPACT-ego, under a validation false-alarm budget and against controls that use timing alone.