Is there way to segment an image without labeling/classification, as well as supervised learning?
For an illustrative example, if one considers an image with a dog and a cup (we don't particularly care what is in the picture), what are viable approaches (if there exist any) to segment these objects in order to perform localization afterwards?
How can one detect arbitrary objects in an image?
So far, I tried a level set approach using a Hamilton-Jacobi Equation to model the energy within the picture. However, this is extremely slow (since iterative) and highly depends on the preprocessing of the image to detect anything.