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Publikováno v:
Artificial Neural Networks and Machine Learning ICANN 2021 133-144
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 classifiers are not agnostic to the input size but rather show significant
Externí odkaz:
http://arxiv.org/abs/2102.01582