One of the main drawbacks of HOCA is the generation of high-order tensor, the size of the high-order tensor will increases exponentially with the number of modalities as n i=1 t i , resulting in a lot of computation.
we implement the multimodal correlation between the different modalities in a more efficient way with lowrank approximation which has been widely used in the community of vision and language (Lei et al., 2015;Liu et al., 2018;.