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 201–250 of 477 papers

TitleStatusHype
Mining And-Or Graphs for Graph Matching and Object Discovery—0
Modeling Collaborative Referring for Situated Referential Grounding—0
Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos—0
Motion Estimation for Large Displacements and Deformations—0
Multi-graph Graph Matching for Coronary Artery Semantic Labeling—0
Multi-level Graph Matching Networks for Deep and Robust Graph Similarity Learning—0
Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis—0
Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval—0
Multi Player Tracking in Ice Hockey with Homographic Projections—0
Multi-Region Probabilistic Dice Similarity Coefficient using the Aitchison Distance and Bipartite Graph Matching—0
Multi-Robot Active Mapping via Neural Bipartite Graph Matching—0
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations—0
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs—0
Network Interdiction Goes Neural—0
Network two-sample test for block models—0
Neural Graph Matching for Modification Similarity Applied to Electronic Document Comparison—0
Neural Graph Matching for Video Retrieval in Large-Scale Video-driven E-commerce—0
Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning—0
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching—0
Neural Graph Matching Networks for Chinese Short Text Matching—0
Neural Graph Matching Networks for Fewshot 3D Action Recognition—0
Occluded Person Re-Identification With Single-Scale Global Representations—0
OLaLa: Ontology Matching with Large Language Models—0
One-shot Key Information Extraction from Document with Deep Partial Graph Matching—0
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching—0
Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdős-Rényi Graphs—0
Open-Set Semantic Uncertainty Aware Metric-Semantic Graph Matching—0
Learning Partial Graph Matching via Optimal Partial Transport—0
Optimal Transport-based Graph Matching for 3D retinal OCT image registration—0
PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching—0
Pairwise Point Cloud Registration using Graph Matching and Rotation-invariant Features—0
Parallel and Successive Resource Allocation for V2V Communications in Overlapping Clusters—0
Partial Gromov-Wasserstein Learning for Partial Graph Matching—0
PATS: Patch Area Transportation with Subdivision for Local Feature Matching—0
Planogram Compliance Checking Based on Detection of Recurring Patterns—0
Graph Matching Optimization Network for Point Cloud Registration—0
Poster Abstract: Hierarchical Subchannel Allocation for Mode-3 Vehicle-to-Vehicle Sidelink Communications—0
Principled Graph Matching Algorithms for Integrating Multiple Data Sources—0
PRISM: Person Re-Identification via Structured Matching—0
Probabilistic Analogical Mapping with Semantic Relation Networks—0
Probabilistic Labeling for Efficient Referential Grounding based on Collaborative Discourse—0
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope—0
Product Graph-based Higher Order Contextual Similarities for Inexact Subgraph Matching—0
Proposing Plausible Answers for Open-ended Visual Question Answering—0
Proxy Graph Matching with Proximal Matching Networks—0
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization—0
QuAnt: Quantum Annealing with Learnt Couplings—0
Quick and Reliable Document Alignment via TF/IDF-weighted Cosine Distance—0
Radar-only ego-motion estimation in difficult settings via graph matching—0
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks—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