Methods › General › Regularization › Band Dropout
Band Dropout
Introduced by Gabriel Tseng et al. in Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A method that randomly mask out (replaces with some numerical value, usually zero) all features coming from a specific band in multi-spectral data.
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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Lightweight, Pre-trained Transformers for Remote Sensing Timeseries 27 Apr 2023 · 1 repository · arXiv:2304.14065Syntology ran 0 of 13 samples · 13 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 |
|---|---|
| Crop Classification | 1 |
| Self-Supervised Learning | 1 |
| Transfer Learning | 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