#multi-modal-fusion News & Analysis

2 articles tagged with #multi-modal-fusion. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 126/10

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UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment

Researchers introduce UMEDA, a federated learning framework designed to enable device-free localization across heterogeneous sensors while maintaining privacy. The system uses spectral signal processing and diffusion-based aggregation to align data from different sensor modalities without requiring direct node correspondence, achieving superior performance on multi-modal benchmarks under privacy constraints.

AINeutralarXiv – CS AI · May 116/10

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DPG-CD: Depth-Prior-Guided Cross-Modal Joint 2D-3D Change Detection

Researchers introduce DPG-CD, a deep learning framework that detects both 2D semantic and 3D structural changes in urban environments by fusing multi-temporal satellite imagery with Digital Surface Model data. The method addresses the challenge of combining different data modalities to enable high-frequency urban monitoring and disaster assessment without requiring expensive frequent 3D data collection.