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What is: Big-Little Module?

SourceBig-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

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 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).