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 401450 of 477 papers

TitleStatusHype
Deep Semantic Feature Matching0
Deep Network Flow for Multi-Object Tracking0
Vertex Nomination Via Seeded Graph Matching0
Exploiting Multi-layer Graph Factorization for Multi-attributed Graph Matching0
Finding Modes by Probabilistic Hypergraphs Shifting0
Exploring Heritability of Functional Brain Networks with Inexact Graph Matching0
Product Graph-based Higher Order Contextual Similarities for Inexact Subgraph Matching0
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial ProblemsCode0
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph MatchingCode0
Convex Two-Layer Modeling with Latent Structure0
Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images0
Alternating Direction Graph MatchingCode0
Proposing Plausible Answers for Open-ended Visual Question Answering0
Egocentric Meets Top-view0
A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures0
Quick and Reliable Document Alignment via TF/IDF-weighted Cosine Distance0
Ego2Top: Matching Viewers in Egocentric and Top-view Videos0
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching0
Tensor Power Iteration for Multi-Graph Matching0
Information Recovery in Shuffled Graphs via Graph Matching0
_p-Box ADMM: A Versatile Framework for Integer Programming0
Recognition of facial expressions based on salient geometric features and support vector machines0
Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines0
Planogram Compliance Checking Based on Detection of Recurring Patterns0
Improved Achievability and Converse Bounds for Erdős-Rényi Graph Matching0
Mapping Tractography Across Subjects0
A Matrix Decomposition Perspective to Multiple Graph Matching0
Discrete Tabu Search for Graph Matching0
Mining And-Or Graphs for Graph Matching and Object Discovery0
Multi-Region Probabilistic Dice Similarity Coefficient using the Aitchison Distance and Bipartite Graph Matching0
Discrete Hyper-Graph Matching0
Subgraph Matching Using Compactness Prior for Robust Feature Correspondence0
Clique-Graph Matching by Preserving Global & Local Structure0
The Minimum Spanning Tree of Maximum Entropy0
Graph edit distance : a new binary linear programming formulation0
Activity recognition from videos with parallel hypergraph matching on GPUs0
A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching0
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting0
Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance0
A Weighted Common Subgraph Matching Algorithm0
JU-Evora: A Graph Based Cross-Level Semantic Similarity Analysis using Discourse Information0
PRISM: Person Re-Identification via Structured Matching0
Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns0
Probabilistic Labeling for Efficient Referential Grounding based on Collaborative Discourse0
Symmetry-Aware Nonrigid Matching of Incomplete 3D Surfaces0
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers0
DEM Registration and Error Analysis using ASCII values0
Geometric Polynomial Constraints in Higher-Order Graph Matching0
Graph Matching: Relax at Your Own Risk0
Shiva++: An Enhanced Graph based Ontology Matcher0
Show:102550
← PrevPage 9 of 10Next →

Benchmark Results

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