Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding. (arXiv:2211.03850v1 [cs.CV])

We present Polite Teacher, a simple yet effective method for the task of
semi-supervised instance segmentation. The proposed architecture relies on the
Teacher-Student mutual learning framework. To filter out noisy pseudo-labels,
we use confidence thresholding for bounding boxes and mask scoring for masks.
The approach has been tested with CenterMask, a single-stage anchor-free
detector. Tested on the COCO 2017 val dataset, our architecture significantly
(approx. +8 pp. in mask AP) outperforms the baseline at different supervision
regimes. To the best …

arxiv segmentation semi-supervised thresholding