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Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition. (arXiv:2205.10071v1 [cs.CV])
May 23, 2022, 1:12 a.m. | Razvan Brinzea, Bulat Khaertdinov, Stylianos Asteriadis
cs.CV updates on arXiv.org arxiv.org
Human Activity Recognition is a field of research where input data can take
many forms. Each of the possible input modalities describes human behaviour in
a different way, and each has its own strengths and weaknesses. We explore the
hypothesis that leveraging multiple modalities can lead to better recognition.
Since manual annotation of input data is expensive and time-consuming, the
emphasis is made on self-supervised methods which can learn useful feature
representations without any ground truth labels. We extend a …
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