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Bookmark or Share- Multimodal learning - WikipediaMultimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video. This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [ 1 ] text ...
- What is multimodality? | MODE: multimodal methodologiesFour core concepts are common across multimodal research: mode, semiotic resource, modal affordance and inter-semiotic relations. Within social semiotics, a mode is understood as an outcome of the cultural shaping of a material through its use in the daily social interaction of people.
- Multimodal Definition & Meaning - Merriam-WebsterThe meaning of MULTIMODAL is having or involving several modes, modalities, or maxima. How to use multimodal in a sentence.
- What is Multimodal? - University of Illinois SpringfieldMultimodal projects are simply projects that have multiple “modes” of communicating a message. For example, while traditional papers typically only have one mode (text), a multimodal project would include a combination of text, images, motion, or audio.
- Multimodality - WikipediaWhile all communication, literacy, and composing practices are and always have been multimodal, [4] academic and scientific attention to the phenomenon only started gaining momentum in the 1960s. Work by Roland Barthes and others has led to a broad range of disciplinarily distinct approaches.
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