Methods › General › Affinity Functions › Concatenation Affinity
Concatenation Affinity
Introduced by Xiaolong Wang et al. in Non-local Neural Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Concatenation Affinity is a type of affinity or self-similarity function between two points 𝕩ᵢ and 𝕩ⱼ that uses a concatenation function:
f(𝕩ᵢ, 𝕩ⱼ) = ReLU(𝕨ᵀ_f[θ(𝕩ᵢ), ϕ(𝕩ⱼ)])
Here [·, ·] denotes concatenation and 𝕨_f is a weight vector that projects the concatenated vector to a scalar.
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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Non-local Neural Networks 21 Nov 2017 · 32 repositories · arXiv:1711.07971Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
Tasks archive 2025-07-28
9 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 |
|---|---|
| Action Classification | 1 |
| Action Recognition | 1 |
| Instance Segmentation | 1 |
| Keypoint Detection | 1 |
| Object Detection | 1 |
| Pose Estimation | 1 |
| Position | 1 |
| Text-To-SQL | 1 |
| Video Classification | 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