Datasets › IMCPT-SparseGM-50

IMCPT-SparseGM-50

Introduced by Runzhong Wang et al. in Deep Learning of Partial Graph Matching via Differentiable Top-K archive 2025-07-28

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 21.36 54.71 50 57.3%

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Graph Matching IMCPT-SparseGM-50 GCAN-AFAT-I F1 score 0.729 Deep Learning of Partial Graph Matching via Differentiable Top-K Thinklab-SJTU/ThinkMatch 6 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Deep Learning of Partial Graph Matching via Differentiable Top-K 1 6 1 Jan 2023 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • IMCPT-SparseGM-50

1 variant name, as the archive lists them.

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