AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Together, these results demonstrate that VLMs can be repurposed for multispectral and SAR tasks through rendered inputs and compact LoRA adaptation, without training a new foundation model.
OmniRSCLIP is an end-to-end contrastive learning framework that supports multi-source sensor inputs for remote sensing vision-language modeling and introduces a spectral-context-aware mask-based contrastive learning scheme to suppress modality-specific redundant features and enhance fine-grained image-text alignment.
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