CascadePSP
CascadePSP
**CascadePSP** is a general segmentation refinement model that refines any given segmentation from low to high resolution. The model takes as input an initial mask that can be an output of any algorithm to provide a rough object location. Then the CascadePSP will output a refined mask. The model is designed in a cascade fashion that generates refined segmentation in a coarse-to-fine manner. Coarse outputs from the early levels predict object structure which will be used as input to the latter levels to refine boundary details.
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
https://paperswithcode.com/paper/cascadepsp-toward-class-agnostic-and-very
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement