Skip to main content

Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[Research] Rotated Mask RCNN

[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.

https://i.redd.it/gjnps7aunjl31.png

https://i.redd.it/vph52r9vnjl31.png

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.

https://i.redd.it/mvv46t6snjl31.png

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

submitted by /u/mrlooi
[link] [comments]