MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT

Xiaomin Ouyang, Jason Wu, Tomoyoshi Kimura +4

Multimodal sensing systems are increasingly prevalent in various real-world applications. Most existing multimodal learning approaches heavily rely on training with a large amount…