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摘要
En 中文
• Spatial Fold Convolution transforms global modeling into channel-wise operations with linear complexity • Global-Local Selective Fusion reduces redundancy between local and global features • MobileFold-Tiny outperforms MobileViTV3 with 30% fewer computations • MobileFold demonstrates strong generalization across both classification and detection tasks
