He and colleagues: Mask R-CNN instance segmentation

What changed

Extended Faster R-CNN with a parallel object-mask prediction branch and alignment method, reporting strong instance-segmentation and pose results.

Scientific scope

Extended Faster R-CNN with a parallel object-mask prediction branch and alignment method, reporting strong instance-segmentation and pose results. Scope limitation: Mask R-CNN builds on Faster R-CNN and does not originate region proposals. Its COCO comparisons are tied to the paper's setup.

Evidence

The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. Mask R-CNN builds on Faster R-CNN and does not originate region proposals. Its COCO comparisons are tied to the paper's setup.

Contributors

• The named authors listed in the linked research record · SCIENCE: Complete source byline retained in the research record; human research direction, method development and evaluation. Individual labor shares are not measured.

• He and colleagues: Mask R-CNN instance segmentation — original paper
• He and colleagues: Mask R-CNN instance segmentation — official research page

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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