Experimenting with Multimodality
Working on a multimodal problem adds more complexity to the usual training pipelines. Having multiple information modes for each example means that the multimodal pipeline has to have specific implementations to process each mode in the dataset. Usually after this processing step, the pipeline has to merge or fuse the outputs.