zjhuang22/maskscoring_rcnn

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1895 stars · 372 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of Mask Scoring R-CNN (CVPR 2019), built on maskrcnn-benchmark. It adds a network block that learns the quality of predicted instance masks by regressing mask IoU, improving instance segmentation accuracy on COCO.

Use cases

• instance segmentation with mask quality scoring
• train Mask Scoring R-CNN on COCO
• improve mask AP over Mask R-CNN baseline
• reproduce CVPR 2019 paper results
• research on mask IoU prediction
• pretrained models for instance segmentation

When to choose

• you need state-of-the-art instance segmentation with calibrated mask scores
• you want to reproduce or extend the MS R-CNN paper
• you need pretrained COCO instance segmentation models

When to avoid

• you need a maintained, up-to-date framework (last release 2020, based on deprecated maskrcnn-benchmark)
• you want simple inference without training infrastructure
• you need Windows or CPU-only support

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning python instance-segmentation mask-scoring mask-rcnn cvpr-2019 pytorch coco research-code linux gpu

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