Hi, @insikk
As a result of classifying with Resnet, Accuarcy is over 99%. If you hit map the object area with gradCAM with that model file, it does not match exactly. Why?
it does not match exactly. Why?
It seems to be a problem of GradCAM rather than Resnet classification learning. The objects to be hit-mapped are not as local or blob like dogs or cats, but close to a long straight line. In this case, GradCAM seems to miss the object area. Have you experienced this?
For a well-trainedd Resnet34 model, how do you optimize GradCAM?
Thanks, in advance.
from @bemoregt.
Hi, @insikk
As a result of classifying with Resnet, Accuarcy is over 99%. If you hit map the object area with gradCAM with that model file, it does not match exactly. Why?
it does not match exactly. Why?
It seems to be a problem of GradCAM rather than Resnet classification learning. The objects to be hit-mapped are not as local or blob like dogs or cats, but close to a long straight line. In this case, GradCAM seems to miss the object area. Have you experienced this?
For a well-trainedd Resnet34 model, how do you optimize GradCAM?
Thanks, in advance.
from @bemoregt.