Methods › Computer Vision › Feature Extractors › Streaming Module
Streaming Module
Introduced by Peng Zhang et al. in FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries no description for this method.
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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SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding 15 Feb 2025 · 1 repository · arXiv:2502.10810Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
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FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing 22 Apr 2019 · 3 repositories · arXiv:1904.09290
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 |
|---|---|
| Diversity | 1 |
| Face Anti-Spoofing | 1 |
| Question Answering | 1 |
| Streaming video understanding | 1 |
| Video Understanding | 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