Papers Graph Matching
“Graph Matching” 태그가 달린 논문 515편 · 필터 해제
Drawing Attention to Detail: Pose Alignment through Self-Attention for Fine-Grained Object Classification
Intra-class variations in the open world lead to various challenges in classification tasks. To overcome these challenges, fine-grained classification was introduced, and many approaches were proposed. Some rely on locat…
ClassificationGraph MatchingUnsupervised Entity Alignment for Temporal Knowledge Graphs
Entity alignment (EA) is a fundamental data integration task that identifies equivalent entities between different knowledge graphs (KGs). Temporal Knowledge graphs (TKGs) extend traditional knowledge graphs by introduci…
Data IntegrationDecoderEntity AlignmentGraph Matching+1Population-wise Labeling of Sulcal Graphs using Multi-graph Matching
Population-wise matching of the cortical fold is necessary to identify biomarkers of neurological or psychiatric disorders. The difficulty comes from the massive interindividual variations in the morphology and spatial o…
BenchmarkingGraph MatchingModel-based inexact graph matching on top of CNNs for semantic scene understanding
Deep learning based pipelines for semantic segmentation often ignore structural information available on annotated images used for training. We propose a novel post-processing module enforcing structural knowledge about …
Brain SegmentationDeep LearningGraph MatchingScene Understanding+2On the limits of neural network explainability via descrambling
We characterize the exact solutions to neural network descrambling--a mathematical model for explaining the fully connected layers of trained neural networks (NNs). By reformulating the problem to the minimization of the…
Graph MatchingOperator learningAGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms
Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in the computer-aided diagnosis of coronary a…
Graph MatchingPA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching
Graph matching can be formalized as a combinatorial optimization problem, where there are corresponding relationships between pairs of nodes that can be represented as edges. This problem becomes challenging when there a…
Combinatorial OptimizationGraph MatchingPositionLearning Feature Recovery Transformer for Occluded Person Re-identification
One major issue that challenges person re-identification (Re-ID) is the ubiquitous occlusion over the captured persons. There are two main challenges for the occluded person Re-ID problem, i.e., the interference of noise…
Graph MatchingGraph SimilarityOccluded Person Re-IdentificationPerson Re-IdentificationDeep Learning of Partial Graph Matching via Differentiable Top-K
Graph matching (GM) aims at discovering node matching between graphs, by maximizing the node- and edge-wise affinities between the matched elements. As an NP-hard problem, its challenge is further pronounced in the e…
Deep LearningGraph MatchingStereo MatchingCIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection
Unsupervised domain adaptive object detection (UDA-OD) aims to learn a detector by generalizing knowledge from a labeled source domain to an unlabeled target domain. Though the existing graph-based methods for UDA-OD…
Graph Matchingobject-detectionObject DetectionUnsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
Unsupervised visible-infrared person re-identification is a challenging task due to the large modality gap and the unavailability of cross-modality correspondences. Cross-modality correspondences are very crucial to …
Contrastive LearningGraph MatchingPerson Re-IdentificationEditable Image Geometric Abstraction via Neural Primitive Assembly
This work explores a novel image geometric abstraction paradigm based on assembly out of a pool of pre-defined simple parametric primitives (i.e., triangle, rectangle, circle and semicircle), facilitating controllabl…
Graph MatchingVideo Action Segmentation via Contextually Refined Temporal Keypoints
Video action segmentation refers to the task of densely casting each video frame or short segment in an untrimmed video into some pre-specified action categories. Although recent years have witnessed a great promise …
Action SegmentationGraph MatchingSegmentationA polynomial time iterative algorithm for matching Gaussian matrices with non-vanishing correlation
Motivated by the problem of matching vertices in two correlated Erd\H{o}s-R\'enyi graphs, we study the problem of matching two correlated Gaussian Wigner matrices. We propose an iterative matching algorithm, which succee…
Graph MatchingAutomatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base
A critical step in sharing semantic content online is to map the structural data source to a public domain ontology. This problem is denoted as the Relational-To-Ontology Mapping Problem (Rel2Onto). A huge effort and exp…
Graph MatchingGraph Matching with Bi-level Noisy Correspondence
In this paper, we study a novel and widely existing problem in graph matching (GM), namely, Bi-level Noisy Correspondence (BNC), which refers to node-level noisy correspondence (NNC) and edge-level noisy correspondence (…
Contrastive LearningGraph LearningGraph MatchingUniverse Points Representation Learning for Partial Multi-Graph Matching
Many challenges from natural world can be formulated as a graph matching problem. Previous deep learning-based methods mainly consider a full two-graph matching setting. In this work, we study the more general partial ma…
Deep LearningGraph MatchingRepresentation LearningGrannGAN: Graph annotation generative adversarial networks
We consider the problem of modelling high-dimensional distributions and generating new examples of data with complex relational feature structure coherent with a graph skeleton. The model we propose tackles the problem o…
Generative Adversarial NetworkGraph MatchingRobust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)
3D point cloud registration is a fundamental problem in computer vision and robotics. Recently, learning-based point cloud registration methods have made great progress. However, these methods are sensitive to outliers, …
graph constructionGraph MatchingPoint Cloud RegistrationFast Key Points Detection and Matching for Tree-Structured Images
This paper offers a new authentication algorithm based on image matching of nano-resolution visual identifiers with tree-shaped patterns. The algorithm includes image-to-tree conversion by greedy extraction of the fracta…
Graph MatchingKey Point Matching