129 citations · 718 across the 31 of their papers we have counts for
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cs.LG2019
Training Decision Trees as Replacement for Convolution Layers
Wolfgang Fuhl, Gjergji Kasneci, Wolfgang Rosenstiel +1
We present an alternative layer to convolution layers in convolutional neural networks (CNNs). Our approach reduces the complexity of convolutions by replacing it with binary decis…
cs.CV2019★ 25 cited
Learning to Validate the Quality of Detected Landmarks
Wolfgang Fuhl, Enkelejda Kasneci
We present a new loss function for the validation of image landmarks detected via Convolutional Neural Networks (CNN). The network learns to estimate how accurate its landmark esti…