📊 Showing 6 results | 📏 Metric: matching accuracy
| Rank | Model | Paper | matching accuracy | Date | Code |
|---|---|---|---|---|---|
| 1 | COMMON | Graph Matching with Bi-level Noisy Correspondence | 0.85 | 2022-12-08 | 📦 Thinklab-SJTU/ThinkMatch 📦 Lin-Yijie/Graph-Matching-Networks 📦 xlearning-scu/2023-iccv-common |
| 2 | GMTR | GMTR: Graph Matching Transformers | 0.83 | 2023-11-14 | 📦 jp-guo/gm-transformer |
| 3 | GMT-BBGM | GMTR: Graph Matching Transformers | 0.83 | 2023-11-14 | 📦 jp-guo/gm-transformer |
| 4 | BBGM | Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers | 0.82 | 2020-03-25 | 📦 Thinklab-SJTU/ThinkMatch 📦 martius-lab/blackbox-backprop 📦 martius-lab/blackbox-deep-graph-matching 📦 LPMP/LPMP 📦 q3erf/topo_bbgm |
| 5 | NGM-v2 | Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching | 0.81 | 2019-11-26 | 📦 Thinklab-SJTU/ThinkMatch |
| 6 | NGM | Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching | 0.69 | 2019-11-26 | 📦 Thinklab-SJTU/ThinkMatch |