AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work designs representation and supervision together in CPD-FCOS (Center-constrained P2 Detail-enhanced FCOS): a single-forward, reproducible reference design with an explicitly measured accuracy–efficiency trade-off.
Experimental results confirm that IFMA-Stereo achieves state-of-the-art accuracy in remote sensing disparity estimation and effectively mitigates prediction errors caused by spatio-temporal heterogeneity, albeit at the cost of increased inference time compared to baseline methods.
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