MFSA-NET: SEMANTIC SEGMENTATION WITH CAMERA-LIDAR CROSS-ATTENTION FUSION BASED ON FAST NEIGHBOR FEATURE AGGREGATION

Given the inherent limitations of camera-only and LiDAR-only methods in performing semantic segmentation tasks in large-scale complex environments, multimodal information fusion for semantic segmentation has become a focal point of contemporary research.However, significant Dressage Saddle modal disparities often result in existing fusion-based met

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