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EfficientNet
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<p>EfficientNet is a family of <a href="/facts/Convolutional_neural_network/kHEdnmGU">convolutional neural networks</a> (CNNs) for <a href="/facts/Computer_vision/Tl2Yyk66">computer vision</a> published by researchers at <a href="/facts/Google_AI/dG4ouT6p">Google AI</a> in 2019. Its key innovation is compound scaling, which uniformly scales all dimensions of depth, width, and resolution using a single parameter. </p><p>EfficientNet models have been adopted in various computer vision tasks, including <a href="/facts/Image_classification/Tl2Yyk66">image classification</a>, <a href="/facts/Object_detection/sCx3FK44">object detection</a>, and <a href="/facts/Image_segmentation/jofAhbxa">segmentation</a>. </p>