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.
NatureMethods18,1038–1045
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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.