Methods › Computer Vision › Human Object Interaction Detectors › VSGNet
Visual-Spatial-Graph Network
VSGNet
Introduced by Oytun Ulutan et al. in VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Visual-Spatial-Graph Network (VSGNet) is a network for human-object interaction detection. It extracts visual features from the image representing the human-object pair, refines the features with spatial configurations of the pair, and utilizes the structural connections between the pair via graph convolutions.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions 11 Mar 2020 · 2 repositories · arXiv:2003.05541Syntology ran 0 of 8 samples · 8 unverified
Tasks archive 2025-07-28
3 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Human-Object Interaction Detection | 1 |
| Object | 1 |
| Spatial Reasoning | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections