Detectron2-Train-a-Instance-Segmentation-Model
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Improving the mask boundary accuracy
I trained a instance segmentation detectron2 model for custom data set. But the mask that I am getting for my detected elements is not perfect. Is there any way to improve the boundary of the mask of instance segmentation result ? Thanks in advance.
@Rvv1296 sorry for the late reply. There are many ways of increasing the performance, including using a bigger dataset, different model architecture as well as some post-processing refinement methods like BPR (Boundary Patch Refinement), which I myself haven't tried yet though.