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Deconvolutional Networks
Documents
Randomness in Deconvolutional Networks for Visual ... · Randomness in Deconvolutional Networks for Visual Representation Specifically on convolutional neural networks (CNNs), there
Global Deconvolutional Networks for Semantic Segmentationsail.unist.ac.kr/papers/BMVC_NekrasovVJuJChoiJ.pdf · 2016-08-05 · Global Deconvolutional Networks for Semantic Segmentation
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Generative Adversarial Networks (GANs)...4.4. Deep MR to CT Synthesis using Unpaired Data Architecture - Syn CT and Syn MR are identical: DeConvolutional Network 2D ConvLayers, strides=2x2,
arXiv:1605.08104v5 [cs.LG] 1 Mar 2017(the R l’s) is equivalent to a generative deconvolutional network with local recurrence at each stage. The architecture described here is inspired
Global Deconvolutional Networks for Semantic Segmentation · 2017-05-30 · Global Deconvolutional Networks for Semantic Segmentation Vladimir Nekrasov [email protected]
Salient deconvolutional networksSalient deconvolutional networks Aravindh Mahendran and Andrea Vedaldi Department of Engineering Science, University of Oxford faravindh,[email protected]
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SoftPoolNet: Shape Descriptor for Point Cloud Completion ...€¦ · Network (PCN), we also propose a patch-deforming operation to simu-late deconvolutional operations for point clouds.
Salient deconvolutional networks - University of Oxfordvedaldi/assets/pubs/mahendran16salient.pdf · Salient deconvolutional networks Aravindh Mahendran and Andrea Vedaldi University
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University of Notre Dame, Notre Dame, IN, 46556, USA Harvard … · 2018-07-23 · But even with direct access to an algorithm, ... multi-layer deconvolutional network can be used
Adaptive Deconvolutional Networks for Mid and …...Adaptive Deconvolutional Networks for Mid and High Level Feature Learning Matthew D. Zeiler, Graham W. Taylor and Rob Fergus Dept.