Miguel7501 t1_j8w97h8 wrote
Is that the same model every time?
patrick66 t1_j8wmpxh wrote
No it’s a benchmark that any image classification model can use to test accuracy. There would still be pretty massive improvement on the graph if it were all the same model, GPU efficiency for deep learning has skyrocketed since 2017, but a lot of the graph is also just modern models being quicker to train
PsychologicalSet8678 t1_j90us3l wrote
I think it's also about Transfer learning. Many are using fixed backbones.
Bewaretheicespiders t1_j8x3dz9 wrote
"to a top 5 accuracy of 93% or more".
So they take the model cheapest to train that can reach that top-5 label accuracy.
Viewing a single comment thread. View all comments