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Transforming feature relationships through geometric guidance leads to consistent performance gains in both image classification and reasoning tasks across multiple architectures.
Achieve superior CT-MRI cervical spine registration by adaptively fusing Mamba-based global context with Swin Transformer-based local detail.
