things right here that I remember I need to pay attention to later there is this loss which seems to be special and there is the transformer architecture which seemed which they say okay that that's the model basically consists of those two things and then they have a short description of what it does given a fixed small set of learned object queries that your reasons about the relations of the objects and the global image context to directly output the final set of predicted in parallel that almost tells me nothing of yeah okay the