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 151175 of 477 papers

TitleStatusHype
Kernelized multi-graph matching0
Semantic Sentence Matching via Interacting Syntax Graphs0
Random graph matching at Otter's threshold via counting chandeliers0
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes0
Gollum: A Gold Standard for Large Scale Multi Source Knowledge Graph Matching0
Graphing the Future: Activity and Next Active Object Prediction using Graph-based Activity Representations0
CSGO: Constrained-Softassign Gradient Optimization For Large Graph MatchingCode0
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching0
An Equity-Aware Recommender System for Curating Art Exhibits Based on Locally-Constrained Graph Matching0
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
Vi-Fi: Associating Moving Subjects across Vision and Wireless SensorsCode0
Unsupervised Manifold Alignment with Joint Multidimensional ScalingCode1
A Comparative Study of Graph Matching Algorithms in Computer VisionCode0
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR0
Motion Estimation for Large Displacements and Deformations0
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and AveragingCode0
Template based Graph Neural Network with Optimal Transport DistancesCode0
Backpropagation through Combinatorial Algorithms: Identity with Projection WorksCode1
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity LearningCode0
Image Keypoint Matching using Graph Neural Networks0
SeedGNN: Graph Neural Networks for Supervised Seeded Graph MatchingCode0
Clustered Graph Matching for Label Recovery and Graph Classification0
Learning Constrained Structured Spaces with Application to Multi-Graph MatchingCode0
KERMIT - A Transformer-Based Approach for Knowledge Graph Matching0
Neural Graph Matching for Modification Similarity Applied to Electronic Document Comparison0
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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