CAVG is structured around an Encoder-Decoder framework, comprising encoders for Text, Emotion, Vision, and Context, alongside a Cross-Modal encoder and a Multimodal decoder. Recently, the team led by ...
Variational Autoencoders (VAEs) are an artificial neural network architecture to generate new data. They are similar to regular autoencoders, which consist of an encoder and decoder. The encoder takes ...
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