Deep generalized max pooling

V Christlein, L Spranger, M Seuret… - 2019 International …, 2019 - ieeexplore.ieee.org
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They
are used to aggregate activations of spatial locations to produce a fixed-size vector in …
被引用次数：112 相关文章

Deep Generalized Max Pooling

V Christlein, L Spranger, M Seuret, A Nicolaou, P Král… - 2019 - dspace5.zcu.cz
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). Global
average pooling or global max pooling are commonly used for converting convolutional …

Deep Generalized Max Pooling

V Christlein, L Spranger, M Seuret… - … on Document Analysis …, 2019 - computer.org
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They
are used to aggregate activations of spatial locations to produce a fixed-size vector in …

Deep Generalized Max Pooling

V Christlein, L Spranger, M Seuret, A Nicolaou, P Král… - 2019 - otik.uk.zcu.cz
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). Global
average pooling or global max pooling are commonly used for converting convolutional …

[引用][C] Deep Generalized Max Pooling

V Christlein, L Spranger, M Seuret, A Nicolaou… - … on Document Analysis …, 2019 - cir.nii.ac.jp
[PDF] academia.edu

[PDF][PDF] Deep Generalized Max Pooling

V Christlein, L Spranger, M Seuret, A Nicolaou, P Král… - academia.edu
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They
are used to aggregate activations of spatial locations to produce a fixed-size vector in …

Deep Generalized Max Pooling

V Christlein, L Spranger, M Seuret, A Nicolaou… - arXiv preprint arXiv …, 2019 - arxiv.org
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They
are used to aggregate activations of spatial locations to produce a fixed-size vector in …

Deep Generalized Max Pooling

V Christlein, L Spranger, M Seuret, A Nicolaou… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They
are used to aggregate activations of spatial locations to produce a fixed-size vector in …