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- W4386094778 abstract "Abstract Cross-modal representation learning is an essential part of representation learning, which aims to learn semantic representations for different modalities including text, audio, image and video, etc., and their connections. In this chapter, we introduce the development of cross-modal representation learning from shallow to deep, and from respective to unified in terms of model architectures and learning mechanisms for different modalities and tasks. After that, we review how cross-modal capabilities can contribute to complex real-world applications." @default.
- W4386094778 created "2023-08-24" @default.
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- W4386094778 date "2023-01-01" @default.
- W4386094778 modified "2023-10-16" @default.
- W4386094778 title "Cross-Modal Representation Learning" @default.
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- W4386094778 doi "https://doi.org/10.1007/978-981-99-1600-9_7" @default.
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