The paper defines four matching strategies for panoptic quality via degree-bounded bipartite assignment and introduces vertex-based TP/FN/FP counting that extends to part-aware evaluation.
Girshick, and Jitendra Malik
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Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation
The paper defines four matching strategies for panoptic quality via degree-bounded bipartite assignment and introduces vertex-based TP/FN/FP counting that extends to part-aware evaluation.