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Search results with tag "Excitation networks"

arXiv:1910.03151v4 [cs.CV] 7 Apr 2020

arXiv:1910.03151v4 [cs.CV] 7 Apr 2020

arxiv.org

One of the representative methods is squeeze-and-excitation networks (SENet) [14], which learns channel attention for each convolution block, bringing clear performance gain for various deep CNN architectures. Following the setting of squeeze (i.e., feature ag-gregation) and excitation (i.e., feature recalibration) in

  Network, Excitation, Excitation networks

In-Place Activated BatchNormfor Memory- Optimized …

In-Place Activated BatchNormfor Memory- Optimized …

www.cs.toronto.edu

In-Place Activated BatchNormfor Memory-Optimized Training of DNNs Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder ... •Reversible Networks [9] (Gomez et al., 2017) ... DenseNet, Squeeze-Excitation Networks,

  Training, Memory, Network, Activated, Place, Excitation, Optimized, Squeeze, Place activated batchnormfor memory optimized, Batchnormfor, Place activated batchnormfor memory optimized training, Excitation networks

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Excitation Networks, Excitation, Place Activated BatchNormfor Memory- Optimized, Place Activated BatchNormfor Memory-Optimized Training, Networks, Squeeze