This is the distribution of my data:
I have questions:
- I know such distribution would need balancing in Classification tasks. Is this the same for Segmentation? Do I have to balance these classes or I can just train the model as is?
- Is there a preferred way to handle the balancing? In classification, we have oversampling of the smaller class as the preferred method. Does it work too for segmentation?
I have googled around and found two papers that claim to solve the imbalance. Here are the links
I am asking for the community’s understanding of the above issue before I have to go through papers.