AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The Density-assisted Adaptive Alignment Network (DAANet) is proposed, a novel framework that enables motion-adaptive and scale-aware alignment in VIC, and achieves state-of-the-art performance, outperforming prior methods and reducing Mean Squared Error by up to 31.6%.
Multi-view anomaly detection (MvAD) detects defects by exploiting complementary observations from multiple camera viewpoints. The central challenge is to fuse views with sufficient geometric awareness while remaining scalable to multi-class industrial settings. Existing methods typically fall into two extremes: voxel-b...
Results show that explicitly suppressing such nuisance variation improves AD under distribution shift while preserving strong performance in standard settings, and NFAD remains competitive on standard benchmarks that do not explicitly evaluate distribution shift, including VisA, Real-IAD, and MVTec AD.
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