Nov 27, 2018 · In this paper, we investigate input-dependent dynamic filter selection in deep convolutional neural networks (CNNs).
In this paper, we propose a novel framework called. GaterNet for input-dependent dynamic filter selection in convolutional neural networks (CNNs), as shown in ...
We propose a novel yet sim- ple framework called GaterNet, which involves a backbone and a gater network. The backbone network is a regular. CNN that performs ...
This paper investigates input-dependent dynamic filter selection in deep convolutional neural networks (CNNs) and proposes a novel yet simple framework ...
A gate is an entry in the binary gate vector g. It corresponds to a filter in the backbone network ResNet-164. A gate is always off means that it is 0 for all ...
As demonstrated in Fig. 1(c), we use dynamic gates to filter out secondary regions in the self-attention module to avoid repeated calculations of components ...
In this paper, we investigate input-dependent dynamic filter selection in deep convolutional neural networks (CNNs). The problem is interesting because the idea ...
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Apr 22, 2019 · It does not learn explicit policies, like a hard selection of which layer or filter to run. ... You Look Twice: GaterNet for Dynamic Filter ...
Apr 16, 2021 · You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. This repository contains the model and evaluation code for ResNet-20-Gated and ...
In this paper, we investigate input-dependent dynamic filter selection in deep convolutional neural networks (CNNs). The problem is interesting because the ...
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