Methods › Computer Vision › Convolutional Neural Networks › Big-Little Net
Big-Little Net
Introduced by Chun-Fu Chen et al. in Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Big-Little Net is a convolutional neural network architecture for learning multi-scale feature representations. This is achieved by using a multi-branch network, which has different computational complexity at different branches with different resolutions. Through frequent merging of features from branches at distinct scales, the model obtains multi-scale features while using less computation.
It consists of Big-Little Modules, which have two branches: each of which represents a separate block from a deep model and a less deep counterpart. The two branches are fused with linear combination + unit weights. These two branches are known as Big-Branch (more layers and channels at low resolutions) and Little-Branch (fewer layers and channels at high resolution).
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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Large Scale Neural Architecture Search with Polyharmonic Splines 20 Nov 2020 · 0 repositories · arXiv:2011.10608
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Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition 10 Jul 2018 · 3 repositories · arXiv:1807.03848
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 |
|---|---|
| Image Classification | 1 |
| Neural Architecture Search | 1 |
| Object | 1 |
| Object Recognition | 1 |
| Speech Recognition | 1 |
| image-classification | 1 |
| speech-recognition | 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
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