Topic · Efficiency

Efficient networks

Everything on this site about efficient networks, in the order to read it: a page is listed after the pages it builds on. The figures below are the ones those pages use to explain it; each is live: move a slider and it recomputes.

In reading order

  1. Paper · read first: Object Detection — A Quick Read
  2. Paper
  3. Paper · read first: Object Detection — A Quick Read
  4. Paper · read first: Understanding Attention Modules: CBAM and BAM — A Quick Read

The figures these pages use

Pulled from the pages above. Move a slider and the figure recomputes, exactly as on its page.

From MixConv — Mixed Depthwise Convolutional Kernels from Google Brain › MixConv — A new paradigm of Depthwise Separable Convolutional Kernels

1284
What mixing kernels costs. The mixed layer sees large and small patterns at once for far fewer weights than using the largest kernel everywhere.

Tags that go with it

Convolutions 2Object detection 2Attention modules 1Feature pyramids and necks 1Training recipes 1