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Showing 1 to 2 of 2 for “"Tensor Fusion"”.
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Multimodal Learning for Disease Diagnosis and Progression Modeling
… information across sources, but conventional fusion strategies, such as early feature concatenation and late decision-level fusion, often model modalities independently and fail to capture high-order cross-modal interactions that are essential for reliable diagnosis and progression modeling. …
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A Multi-head Attention Approach with Complementary Multimodal Fusion for Vehicle Detection
… an intricate and refined process of feature tensor fusion, creating a more robust and comprehensive sensory data interpretation framework. A major innovation introduced in this updated model is the implementation of a multi-head attention layer. This layer serves as a sophisticated …