Graph Matching
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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
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wangfudong/FRGM
https://github.com/wangguanan/light-reid
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
https://github.com/xiaojunxu/dnn-binary-code-similarity
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
https://github.com/xjmoffside/degree_profile
https://github.com/xmed-lab/cardiacnet
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
https://github.com/xmed-lab/m3-uda
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
https://github.com/xwliao/hnn-hm
https://github.com/yongqyu/MolGAN-pytorch
MolGAN: An implicit generative model for small molecular graphs
https://github.com/yyyyyxie/DNTextSpotter
DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training
https://github.com/zhehengjiang/gcan
https://github.com/zhileichen99/utopic
Robust Point Cloud Registration Framework Based on Deep Graph Matching
https://github.com/ziyaoli/molgan-without-mode-collapse
MolGAN: An implicit generative model for small molecular graphs
https://github.com/zju-3dv/multiway
https://gitlab.com/romain.raveaux/learning-graph-matching-through-a-differentiable-graph-matching-method-based-on-integer-linear-programming
Deep graph matching meets mixed-integer linear programming: Relax at your own risk ?
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.