I think they train for like six days on eight GPUs is not that much if you compare to like language models on hundreds of TP use but still okay I don't want to go into the numbers of experiments but what is really cool is that they can now visualize this sort of attention and you can see right here that if they look at a particular point in the image and visualize the attention it will actually attend to the instance itself so it will like these are usually the problems for these detection algorithms when things overlap and are