ViFiCon learns vision-to-wireless associations via self-supervised contrastive learning on stacked depth image sequences and FTM data, reaching 92.63% accuracy in 2.5-second windows without labeled associations.
Coopera- tive learning of audio and video models from self-supervised synchronization
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ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive Learning
ViFiCon learns vision-to-wireless associations via self-supervised contrastive learning on stacked depth image sequences and FTM data, reaching 92.63% accuracy in 2.5-second windows without labeled associations.