SOTAVerified

Graph Matching

Graph Matching is the problem of finding correspondences between two sets of vertices while preserving complex relational information among them. Since the graph structure has a strong capacity to represent objects and robustness to severe deformation and outliers, it is frequently adopted to formulate various correspondence problems in the field of computer vision. Theoretically, the Graph Matching problem can be solved by exhaustively searching the entire solution space. However, this approach is infeasible in practice because the solution space expands exponentially as the size of input data increases. For that reason, previous studies have attempted to solve the problem by using various approximation techniques.

Source: Consistent Multiple Graph Matching with Multi-layer Random Walks Synchronization

Papers

Showing 451–477 of 477 papers

TitleStatusHype
Principled Graph Matching Algorithms for Integrating Multiple Data Sources—0
Graph matching: relax or not?—0
Seeded Graph Matching Via Joint Optimization of Fidelity and Commensurability—0
Large-scale Semantic Parsing without Question-Answer Pairs—0
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching—0
Skin Segmentation based Elastic Bunch Graph Matching for efficient multiple Face Recognition—0
Spectral Clustering for Divide-and-Conquer Graph MatchingCode0
GNCGCP - Graduated NonConvexity and Graduated Concavity Procedure—0
Modeling Collaborative Referring for Situated Referential Grounding—0
Exploring a Probabilistic Earley Parser for Event Composition in Biomedical Texts—0
Generalizing an Approximate Subgraph Matching-based System to Extract Events in Molecular Biology and Cancer Genetics—0
Smatch: an Evaluation Metric for Semantic Feature StructuresCode0
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge—0
Deformable Graph Matching—0
Stable and Informative Spectral Signatures for Graph Matching—0
Seeded Graph Matching—0
A Fast Projected Fixed-Point Algorithm for Large Graph MatchingCode0
Towards Mediating Shared Perceptual Basis in Situated Dialogue—0
UNT: A Supervised Synergistic Approach to Semantic Text Similarity—0
sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching—0
janardhan: Semantic Textual Similarity using Universal Networking Language graph matching—0
Efficient Dependency Graph Matching with the IMS Open Corpus Workbench—0
Maximum Margin Multi-Label Structured Prediction—0
Face Identification by SIFT-based Complete Graph Topology—0
Exponential Family Graph Matching and Ranking—0
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference—0
Kernels on Attributed Pointsets with Applications—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GMT-BBGMmatching accuracy0.84—Unverified
2GMTRmatching accuracy0.84—Unverified
3COMMONmatching accuracy0.83—Unverified
4GCANmatching accuracy0.82—Unverified
5URLmatching accuracy0.82—Unverified
6CREAMmatching accuracy0.81—Unverified
7ASAR-GMmatching accuracy0.81—Unverified
8GAMnetmatching accuracy0.81—Unverified
9NHGM-v2matching accuracy0.8—Unverified
10EAGMmatching accuracy0.71—Unverified
#ModelMetricClaimedVerifiedStatus
1COMMONmatching accuracy0.99—Unverified
2GANN-MGMmatching accuracy0.99—Unverified
3URLmatching accuracy0.99—Unverified
4CREAMmatching accuracy0.99—Unverified
5Direct-MGMmatching accuracy0.99—Unverified
6GMT-BBGMmatching accuracy0.98—Unverified
7Direct-2HGMmatching accuracy0.98—Unverified
8qc-DGM2matching accuracy0.98—Unverified
9NGM-v2matching accuracy0.98—Unverified
10BBGMmatching accuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1CREAMmatching accuracy0.85—Unverified
2COMMONmatching accuracy0.85—Unverified
3GMTRmatching accuracy0.83—Unverified
4GMT-BBGMmatching accuracy0.83—Unverified
5BBGMmatching accuracy0.82—Unverified
6GCANmatching accuracy0.82—Unverified
7NGM-v2matching accuracy0.81—Unverified
8NGMmatching accuracy0.69—Unverified
#ModelMetricClaimedVerifiedStatus
1GCAN-AFAT-UF1 score0.72—Unverified
2GCAN-AFAT-IF1 score0.71—Unverified
3NGMv2-AFAT-UF1 score0.7—Unverified
4NGMv2-AFAT-IF1 score0.7—Unverified
5NGMv2F1 score0.68—Unverified
6PCA-GMF1 score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1GCAN-AFAT-IF1 score0.73—Unverified
2NGMv2-AFAT-IF1 score0.73—Unverified
3NGMv2-AFAT-UF1 score0.72—Unverified
4GCAN-AFAT-UF1 score0.71—Unverified
5NGMv2F1 score0.7—Unverified
6PCA-GMF1 score0.63—Unverified
#ModelMetricClaimedVerifiedStatus
1SmatchSpearman Correlation96.57—Unverified
2RematchSpearman Correlation95.32—Unverified
3SemBleuSpearman Correlation94.83—Unverified
4S2matchSpearman Correlation94.11—Unverified
5WLKSpearman Correlation90.39—Unverified
#ModelMetricClaimedVerifiedStatus
1URLF1 score0.95—Unverified
2GUMBEL-IPFF1 score0.84—Unverified
3IPCA-GMF1 score0.83—Unverified
4GANN-MGMF1 score0.83—Unverified