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pro vyhledávání: '"Pekala, Mike"'
Inspired by the Hardy-Littlewood maximal function, we propose a novel pooling strategy which is called maxfun pooling. It is presented both as a viable alternative to some of the most popular pooling functions, such as max pooling and average pooling
Externí odkaz:
http://arxiv.org/abs/2103.01292
Autor:
Pekala, Mike, Joshi, Neil, Freund, David E., Bressler, Neil M., DeBuc, Delia Cabrera, Burlina, Philippe M
Our objective is to evaluate the efficacy of methods that use deep learning (DL) for the automatic fine-grained segmentation of optical coherence tomography (OCT) images of the retina. OCT images from 10 patients with mild non-proliferative diabetic
Externí odkaz:
http://arxiv.org/abs/1801.09749