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 326350 of 477 papers

TitleStatusHype
Towards Mediating Shared Perceptual Basis in Situated Dialogue0
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging0
TrQuery: An Embedding-based Framework for Recommanding SPARQL Queries0
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation0
Universe Points Representation Learning for Partial Multi-Graph Matching0
Unseeded low-rank graph matching by transform-based unsupervised point registration0
Unsupervised 3D Structure Inference from Category-Specific Image Collections0
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching0
Unsupervised Domain Adaptation using Regularized Hyper-graph Matching0
UNT: A Supervised Synergistic Approach to Semantic Text Similarity0
VersaGNN: a Versatile accelerator for Graph neural networks0
Vertex Nomination Via Seeded Graph Matching0
Video Action Segmentation via Contextually Refined Temporal Keypoints0
Texture-Based Input Feature Selection for Action Recognition0
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning0
Visual-Semantic Matching by Exploring High-Order Attention and Distraction0
Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity0
Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images0
ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models0
Learning Combinatorial Embedding Networks for Deep Graph Matching0
Learning Combinatorial Solver for Graph Matching0
Learning deep graph matching with channel-independent embedding and Hungarian attention0
Learning Latent Topology for Graph Matching0
Learning to Search for Fast Maximum Common Subgraph Detection0
Learning Universe Model for Partial Matching Networks over Multiple Graphs0
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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