Harnessing the Power of Pre-Trained Models for Efficient Semantic Communication of Text and Images

This paper investigates point-to-point multimodal digital semantic communications in a task-oriented setup, where messages are classified at the receiver. We employ a pre-trained transformer model to extract semantic information and propose three methods for generating semantic codewords. First, we...

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