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Tensorized Optical Multimodal Fusion Network
Published 17 Feb 2023 in eess.SP and cs.AR | (2302.08744v1)
Abstract: We propose the first tensorized optical multimodal fusion network architecture with a self-attention mechanism and low-rank tensor fusion. Simulation results show $51.3 \times$ less hardware requirement and $3.7\times 10{13}$ MAC/J energy efficiency.
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