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By fusing these paths, the architecture achieves a "best of both worlds" scenario: it is fast enough for real-time applications while maintaining the high visual fidelity required for modern gaming and remote sensing. 3. Applications in Gaming and Beyond

The Evolution of Neural Efficiency: Exploring the DualMamba Architecture DualMambaGamingzip

Captures long-range, global dependencies (e.g., how an object on one side of a game map relates to a distant goal). By fusing these paths, the architecture achieves a

Uses traditional convolutional layers to preserve fine-grained local textures and spatial structures. By fusing these paths