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GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
To tackle part-level ambiguity and localization we propose a novel adjacency graph-based module that aims at matching the relative spatial relationships between ground truth and predicted parts.
Ranked #7 on
Semantic Segmentation
on FMB Dataset
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