Mask R-CNN
The detection workhorse of an era
Latest: Maintained today inside Detectron2
FAIR's instance-segmentation architecture that dominated a research era: extending Faster R-CNN with a mask-prediction branch and RoIAlign, it won the ICCV 2017 Best Paper Award (Marr Prize) and remains a standard baseline and production workhorse for detection and segmentation nearly a decade later.
Why it matters
Mask R-CNN added a mask branch and RoIAlign to Faster R-CNN and became the detection and instance-segmentation workhorse of an era — ICCV 2017 Best Paper, well over 30,000 citations, and still a production baseline nearly a decade later. Kaiming He's FAIR team set the template that Detectron2 and SAM later built on.
Facts
- One of the most-cited AI papers ever (well over 30,000 citations); authored by Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick at FAIR.
Try it yourself
Use it from torchvision ↗ Train one in the Detectron2 Colab tutorial ↗ Read the paper ↗