Hi
I’m struggling with 3d detection problem using only cnn.
I know that the usual detection task should use r-cnn.
However, I have to use only cnn because I do not have the mask (or location) label of the object I want to find, and I have only count of object.
Do you think I can solve the 3d detection problem using only cnn?
(my data is mrimaging)
I am currently using the classification model after modifying for training.
The training loss converges to zero but the validation loss seems not drop. So maybe it is overfitting.