Abstract: The problem of image segmentation is one of the most significant ones in computer vision. Recently, deep-learning methods have dominated state-of-the-art solutions that automatically or ...
Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.
Deep Learning with Yacine on MSNOpinion
Local response normalization (LRN) in deep learning – simplified!
Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...
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