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 126150 of 477 papers

TitleStatusHype
On the limits of neural network explainability via descramblingCode0
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms0
PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching0
Learning Feature Recovery Transformer for Occluded Person Re-identificationCode1
Video Action Segmentation via Contextually Refined Temporal Keypoints0
Editable Image Geometric Abstraction via Neural Primitive Assembly0
Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate LearningCode1
Deep Learning of Partial Graph Matching via Differentiable Top-KCode0
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection0
A polynomial time iterative algorithm for matching Gaussian matrices with non-vanishing correlation0
Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge BaseCode0
Graph Matching with Bi-level Noisy CorrespondenceCode1
GrannGAN: Graph annotation generative adversarial networksCode0
Universe Points Representation Learning for Partial Multi-Graph Matching0
Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)Code1
Fast Key Points Detection and Matching for Tree-Structured Images0
Results of SemTab 20220
Towards an Approach based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph MatchingCode0
KGCODE-Tab Results for SemTab 20220
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport0
Privacy-Preserved Neural Graph Similarity LearningCode0
End-to-End Context-Aided Unicity Matching for Person Re-identification0
Learning Universe Model for Partial Matching Networks over Multiple Graphs0
QuAnt: Quantum Annealing with Learnt Couplings0
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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