AdaFuse-Det fuses CLAHE-enhanced RGB with voxelized event tensors via an ACMF module grounded in minimum-variance estimation, achieving 59.12% F1 on LLE-VOS while claiming asymptotic recovery of Gauss-Markov optimal weights.
Event-Based Vision: A Survey,
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AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery
AdaFuse-Det fuses CLAHE-enhanced RGB with voxelized event tensors via an ACMF module grounded in minimum-variance estimation, achieving 59.12% F1 on LLE-VOS while claiming asymptotic recovery of Gauss-Markov optimal weights.