AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Considering the complex scale variations characteristic of RS images, a multiscale asymmetric codec to extract multiscale features and employ an adaptive context entropy model to minimize redundancy is designed.
This work designs an efficient Mamba adapter equipped with task-specific prompts and multi-scale branching to precisely capture both local features and global dependencies and introduces a Scale-Invariant Cross-Layer Adapter (SICA) utilizing a parameter-sharing strategy to fuse task information across different scales...
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