Abstract: Consider end-to-end training of a multi-modal vs. a uni-modal network on a task with multiple input modalities: the multi-modal network receives more information, so it should match or ...

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Abstract: Modality alignment can maintain the consistency of semantics in multi-modal emotion recognition tasks, ensuring that features from different modalities accurately represent the ...

You'll come for the hands-on tweaking and wealth of features, and quickly forgive some of the workflow issues when you hear ...