Methods › Computer Vision › Video-Text Retrieval Models › VLG-Net
Video Language Graph Matching Network
VLG-Net
Introduced by Mattia Soldan et al. in VLG-Net: Video-Language Graph Matching Network for Video Grounding
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
VLG-Net leverages recent advantages in Graph Neural Networks (GCNs) and leverages a novel multi-modality graph-based fusion method for the task of natural language video grounding.
Papers archive 2025-07-28
2 shown of 2, 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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MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions 1 Dec 2021 · 1 repository · arXiv:2112.00431Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
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VLG-Net: Video-Language Graph Matching Network for Video Grounding 19 Nov 2020 · 1 repository · arXiv:2011.10132Syntology ran 1 of 1 samples · 0 unverified
Tasks archive 2025-07-28
5 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 |
|---|---|
| Moment Retrieval | 2 |
| Natural Language Moment Retrieval | 2 |
| Graph Matching | 1 |
| Temporal Localization | 1 |
| Video Grounding | 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