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Ish: Federated learning-based semantic segmentation framework for sustainable development
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos +2
MaqolaOchiq kirish201712 iqtibosABIEncoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou +2
BobOchiq kirish201811 iqtibosABIDeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
İlke Demir, Krzysztof Koperski, David Lindenbaum +6
MaqolaOchiq kirish20183 iqtibosABIA Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom
MaqolaOchiq kirish20143 iqtibosABIEmbracing imperfect datasets: A review of deep learning solutions for medical image segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li +3
Sharh maqolaOchiq kirish20203 iqtibosABIFully Convolutional Networks for Semantic Segmentation
Evan Shelhamer, Jonathan Long, Trevor Darrell
Maqola20162 iqtibosABIDeep Learning-Based Classification of Hyperspectral Data
Yushi Chen, Zhouhan Lin, Xing Zhao +2
Maqola20142 iqtibosABI