Hey everyone,
Thinking about this in relation to satellite imagery, but probably also applies to medical imagery.
Size/memory issues aside, was wondering how people have/would take advantage of the multispectral bands associated with satellite imagery for successful transfer learning on something not-so-similar such as an imagenet pretrained model.