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A Lightweight Measure of Classification Difficulty from Application Dataset Characteristics
We show how this measure can help a practitioner select a computationally efficient model for a small dataset 6 to 29x faster than through repeated training and testing.
Data-Side Efficiencies for Lightweight Convolutional Neural Networks
We examine how the choice of data-side attributes for two important visual tasks of image classification and object detection can aid in the choice or design of lightweight convolutional neural networks.
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