Methods › Computer Vision › Light-weight neural networks › MoGA-B
MoGA-B
Introduced by Xiangxiang Chu et al. in MoGA: Searching Beyond MobileNetV3
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
MoGA-B is a convolutional neural network optimized for mobile latency and discovered via Mobile GPU-Aware (MoGA) neural architecture search. The basic building block is MBConvs (inverted residual blocks) from MobileNetV2. Squeeze-and-excitation layers are also experimented with.
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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MoGA: Searching Beyond MobileNetV3 4 Aug 2019 · 2 repositories · arXiv:1908.01314
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 |
|---|---|
| AutoML | 1 |
| CPU | 1 |
| GPU | 1 |
| Image Classification | 1 |
| Neural Architecture Search | 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