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Multimodal Convolutional Neural Network

A Multimodal Convolutional Neural Network (MM-CNN) processes and fuses two or more input modalities — such as images and text, or video and audio — through dedicated convolutional branches, learning a shared representation that captures complementary signals from each source. The fused representation drives a downstream task such as classification, regression, or retrieval.

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Multimodal Convolutional Neural Network (MM-CNN)

Rekod kaedah taksonomik · ml-model / deep-learning

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