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Graph Matching On Willow Object Class

Metrics

matching accuracy

Results

Performance results of various models on this benchmark

Paper Title
COMMON0.9910Graph Matching with Bi-level Noisy Correspondence
GANN-MGM0.9906Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning
URL0.989Universe Points Representation Learning for Partial Multi-Graph Matching
CREAM0.988Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining
Direct-MGM0.987Learning Constrained Structured Spaces with Application to Multi-Graph Matching
GMT-BBGM0.9813GMTR: Graph Matching Transformers
Direct-2HGM0.981Learning Constrained Structured Spaces with Application to Multi-Graph Matching
qc-DGM20.977Deep Graph Matching under Quadratic Constraint
NGM-v20.9754Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching
BBGM0.9718Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
GCAN0.9700Graph-Context Attention Networks for Size-Varied Deep Graph Matching
HNN-HM0.968Hypergraph Neural Networks for Hypergraph Matching
GAMnet0.9662GAMnet: Robust Feature Matching via Graph Adversarial-Matching Network
EAGM0.965Adaptive Edge Attention for Graph Matching with Outliers
qc-DGM10.960Deep Graph Matching under Quadratic Constraint
GLMNet0.924GLMNet: Graph Learning-Matching Networks for Feature Matching
IPCA-GM0.9006Combinatorial Learning of Robust Deep Graph Matching: an Embedding based Approach.
NGM0.8530Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching
GMN0.7934Deep Learning of Graph Matching
NGMv2-AFAT-I-Deep Learning of Partial Graph Matching via Differentiable Top-K
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