SLSCom pre-trains a semantic encoder with contrastive and reconstruction pretext tasks on unlabeled data, then jointly fine-tunes it with JSCC and a classifier, improving accuracy under few labels and low SNR.
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Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning
SLSCom pre-trains a semantic encoder with contrastive and reconstruction pretext tasks on unlabeled data, then jointly fine-tunes it with JSCC and a classifier, improving accuracy under few labels and low SNR.