I'm just started to learn about meta learning and CNN and in most paper that I've read they mention to have one CNN to feature extraction. These features will help the another network.
I don't know what is feature extraction (I don't know what are those features) but I'm wondering if I can use it on image segmentation.
The idea is to use the first network to feature extraction without doing image classification, and pass those features to the other network.
My question is: How can I use feature extraction in CNN on image segmentation?