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Beijing University of Technology
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JFRDet achieves state-of-the-art performance in visible-infrared object detection by explicitly addressing severe geometric misalignment and illumination variability.
Pruning 50% of channels in RGB-infrared object detectors can actually boost performance by 0.6% mAP, challenging conventional wisdom about redundancy.
