Mask Scoring R-CNN

@article{Huang2019MaskSR,
  title={Mask Scoring R-CNN},
  author={Zhaojin Huang and Lichao Huang and Yongchao Gong and Chang Huang and Xinggang Wang},
  journal={ArXiv},
  year={2019},
  volume={abs/1903.00241}
}
Letting a deep network be aware of the quality of its own predictions is an interesting yet important problem. In the task of instance segmentation, the confidence of instance classification is used as mask quality score in most instance segmentation frameworks. However, the mask quality, quantified as the IoU between the instance mask and its ground truth, is usually not well correlated with classification score. In this paper, we study this problem and propose Mask Scoring R-CNN which… CONTINUE READING
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