Methods › General › Attention Mechanisms › Channel & Spatial attention
Channel & Spatial attention
Introduced by Fei Wang et al. in Residual Attention Network for Image Classification
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Channel & spatial attention combines the advantages of channel attention and spatial attention. It adaptively selects both important objects and regions
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.
-
Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative Study 24 Mar 2022 · 1 repository
-
Residual Attention Network for Image Classification 23 Apr 2017 · 19 repositories · arXiv:1704.06904Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
7 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 |
|---|---|
| Change Detection | 1 |
| Change detection for remote sensing images | 1 |
| Earth Observation | 1 |
| General Classification | 1 |
| Image Classification | 1 |
| Object Recognition | 1 |
| image-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