MMA is a threshold-free continuous metric for instance segmentation that uses globally optimal bipartite matching between predictions and ground truth followed by per-pixel normalization to aggregate overlap.
URL:https://pmc.ncbi.nlm.nih.gov/articles/PMC4479443/
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Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching
MMA is a threshold-free continuous metric for instance segmentation that uses globally optimal bipartite matching between predictions and ground truth followed by per-pixel normalization to aggregate overlap.