PatchPerPix for Instance Segmentation

Understand

We present a novel method for proposal free instance segmentation that can handle sophisticated object shapes which span large parts of an image and form dense object clusters with crossovers.

• Our method is based on predicting dense local shape descriptors, which we assemble to form instances.
• All instances are assembled simultaneously in one go.
• To our knowledge, our method is the first non-iterative method that yields instances that are composed of learnt shape patches.