ThreshNet: Segmentation Refinement Inspired by Region-Specific Thresholding. (arXiv:2211.06560v2 [cs.CV] UPDATED)

We present ThreshNet, a post-processing method to refine the output of neural
networks designed for binary segmentation tasks. ThreshNet uses the confidence
map produced by a base network along with global and local patch information to
significantly improve the performance of even state-of-the-art methods. Binary
segmentation models typically convert confidence maps into predictions by
thresholding the confidence scores at 0.5 (or some other fixed number).
However, we observe that the best threshold is image-dependent and often even
region-specific -- different …

arxiv segmentation thresholding