Mask Scoring R-CNN

@article{Huang2019MaskSR,
  title={Mask Scoring R-CNN},
  author={Z. Huang and Lichao Huang and Yongchao Gong and C. Huang and Xinggang Wang},
  journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2019},
  pages={6402-6411}
}
  • Z. Huang, Lichao Huang, +2 authors Xinggang Wang
  • Published 2019
  • Computer Science
  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Letting a deep network be aware of the quality of its own predictions is an interesting yet important problem. [...] Key Method The proposed network block takes the instance feature and the corresponding predicted mask together to regress the mask IoU. The mask scoring strategy calibrates the misalignment between mask quality and mask score, and improves instance segmentation performance by prioritizing more accurate mask predictions during COCO AP evaluation. By extensive evaluations on the COCO dataset, Mask…Expand Abstract
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