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Boosting Mask R-CNN Performance for Long, Thin Forensic Traces with Pre-Segmentation and IoU Region Merging. (arXiv:2203.03886v1 [cs.CV])
March 9, 2022, 2:10 a.m. | Moritz Zink, Martin Schiele, Pengcheng Fan, Stephan Gasterstädt
cs.CV updates on arXiv.org arxiv.org
Mask R-CNN has recently achieved great success in the field of instance
segmentation. However, weaknesses of the algorithm have been repeatedly pointed
out as well, especially in the segmentation of long, sparse objects whose
orientation is not exclusively horizontal or vertical. We present here an
approach that significantly improves the performance of the algorithm by first
pre-segmenting the images with a PSPNet algorithm. To further improve its
prediction, we have developed our own cost functions and heuristics in the form …
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