[Research] Rotated Mask RCNN
The Problem With MaskRCNN (and Bounding Boxes)
Due to bounding box ambiguity, Mask R-CNN fails in relatively dense scenes with objects of the same class, particularly if those objects have high bounding box overlap. In these scenes, both recall (due to NMS) and precision (foreground instance class ambiguity) are affected.
Rotated Mask R-CNN
Rotated Mask R-CNN resolves some of these issues by adopting a rotated bounding box representation. Extends Faster R-CNN, Mask R-CNN, or even RPN-only to work with rotated bounding boxes.
This work also builds on the Mask Scoring R-CNN (‘MS R-CNN’) paper by learning the quality of the predicted instance masks (maskscoring_rcnn).
Github Link: https://github.com/mrlooi/rotated_maskrcnn