Big-Little Module
Big-Little Module
**Big-Little Modules** are blocks for image models that have two branches: each of which represents a separate block from a deep model and a less deep counterpart. They were proposed as part of the [BigLittle-Net](https://paperswithcode.com/method/big-little-net) architecture. The two branches are fused with a linear combination and 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).
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
https://paperswithcode.com/paper/big-little-net-an-efficient-multi-scale
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition