IMCPT-SparseGM-100
Introduced by Wang et al. in Deep Learning of Partial Graph Matching via Differentiable Top-K
IMCPT-SparseGM dataset is a new visual graph matching benchmark addressing partial matching and graphs with larger sizes, based on the novel stereo benchmark Image Matching Challenge PhotoTourism (IMC-PT) 2020. This dataset is released in CVPR 2023 paper Deep Learning of Partial Graph Matching via Differentiable Top-K.
| # images | # classes | avg # nodes | avg # edges | # universe | partial rate |
|---|---|---|---|---|---|
| 25765 | 16 | 44.48 | 123.99 | 100 | 55.5% |
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
IMCPT-SparseGM-100
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GCAN-AFAT-U
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
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