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An ideal metric will both (a) identify these errors and (b) robustly evaluate good matches in the presence of these errors.   If identifying the error is too hard, the metric should at least be able to penalize it. 


Green: Ground truth
Blue: Model

Good match:

Type 0: Unary Errors