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cs.LG2021★ 30 cited
Size Matters
Mats L. Richter, Wolf Byttner, Ulf Krumnack +2
Fully convolutional neural networks can process input of arbitrary size by applying a combination of downsampling and pooling. However, we find that fully convolutional image class…
cs.LG2019★ 1 cited
Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological Data
Ludwig Schallner, Johannes Rabold, Oliver Scholz +1
End-to-end learning with deep neural networks, such as convolutional neural networks (CNNs), has been demonstrated to be very successful for different tasks of image classification…