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Adaptive Test-Time Augmentation for Low-Power CPU

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 نشر من قبل Luca Mocerino
 تاريخ النشر 2021
  مجال البحث الهندسة المعلوماتية
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Convolutional Neural Networks (ConvNets) are trained offline using the few available data and may therefore suffer from substantial accuracy loss when ported on the field, where unseen input patterns received under unpredictable external conditions can mislead the model. Test-Time Augmentation (TTA) techniques aim to alleviate such common side effect at inference-time, first running multiple feed-forward passes on a set of alter



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