Mask Scoring R-CNN introduces a learnable network component that jointly processes instance features and predicted masks to regress mask IoU scores. This addresses the misalignment between actual mask quality and confidence scores in standard instance segmentation models. The approach prioritizes more accurate masks during COCO AP evaluation, delivering consistent improvements across different backbone models and frameworks.