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Tensorized Optical Multimodal Fusion Network

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Abstract

We propose the first tensorized optical multimodal fusion network architecture with a self-attention mechanism and low-rank tensor fusion. Simulation results show 51.3× less hardware requirement and 3.7× 1013 MAC/J energy efficiency.

© 2023 The Author(s)

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