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IA-GM: A Deep Bidirectional Learning Method for Graph Matching
Existing deep learning methods for graph matching(GM) problems usually considered affinity learningto assist combinatorial optimization in a feedforward pipeline, and parameter learning is executed by back-propagating the gradients of the matching loss.
Ranked #17 on
Graph Matching
on PASCAL VOC
(matching accuracy metric)
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