Multi-modal Cross-masked Autoencoder

MoCA framework enhances multi-modal wearable data analysis

Researchers have introduced MoCA, a novel self-supervised learning framework designed for analyzing multi-modal data from wearable devices. This framework utilizes a transformer architecture combined with masked autoenc…