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Edge Inference Optimization.pdf

2206.07741.pdf
Preview of Edge Inference Optimization
🔗 Source: arxiv.org
📊 Size: 4.89 MB
📄 Pages: 15 pages
⬇️ Downloads: 105

Summary

This paper proposes a new quantization approach for mixed precision convolutional neural networks (CNNs) targeting edge-computing, achieving a new Pareto frontier in model accuracy and memory footprint, with best-in-class accuracy below 4.3 MB of weights and activations, using techniques such as tensor-sliced learned precision, targeted gradient modification, and a multi-phase learning schedule, demonstrating effectiveness on the ImageNet dataset across various models, including EfficientNet-Lite0 and MobileNetV2.

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Description

This paper proposes a new quantization approach for mixed precision convolutional neural networks (CNNs) targeting edge-computing, achieving a new Pareto...

Technical Information

  • File Format: PDF
  • File Size: 4.89 MB
  • Pages: 15
  • Language: EN
  • Total Downloads: 105
  • Last Updated: 4 weeks ago

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