LocalMamba: Revolutionizing Visual Perception with Innovative State Space Models for Enhanced Local Dependency Capture

In recent years, the field of computer vision has witnessed remarkable progress, pushing the boundaries of how machines interpret complex visual information. One pivotal challenge in this domain is precisely interpreting intricate image details, which demands a nuanced understanding of global and local visual cues. Traditional models, including Convolutional Neural Networks (CNNs) and Vision Transformers, […]

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