MatConvNet: Convolutional Neural Networks for MATLAB

Keywords

Computer science, Pooling, MATLAB, Toolbox, Convolutional neural network

References

• Torch7: A Matlab-like Environment for Machine LearningRonan Collobert, Koray Kavukcuoglu, Clément Farabet — 2011
• Very Deep Convolutional Networks for Large-Scale Image RecognitionKaren Simonyan, Andrew Zisserman — 2014
• Return of the Devil in the Details: Delving Deep into Convolutional NetsKen Chatfield, Karen Simonyan, Andrea Vedaldi — 2014
• Vlfeat: an open and portable library of computer vision algorithmsAndrea Vedaldi, Brian Fulkerson — 2010
• ImageNet: A large-scale hierarchical image databaseJia Deng, Wei Dong, Richard Socher — 2009
• The Ziggurat Method for Generating Random VariablesGeorge Marsaglia, Wai Wan Tsang — 2000
• Integrals and derivatives for correlated Gaussian functions using matrix differential calculusDonald B. Kinghorn — 1996
• ImageNet classification with deep convolutional neural networksAlex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton — 2012
• Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsKaren Simonyan, Andrea Vedaldi, Andrew Zisserman — 2013
• Prediction as a candidate for learning deep hierarchical models of dataRasmus Palm — 2012
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftSergey Ioffe, Christian Szegedy — 2015
• Network In NetworkMin Lin, Qiang Chen, Shuicheng Yan — 2013
• Fast R-CNNRoss Girshick — 2015
• Visualizing and Understanding Convolutional NetworksMatthew D. Zeiler, Rob Fergus — 2013
• Fast R-CNNRoss Girshick — 2015

Cited by

• Skin Lesion Analysis towards Melanoma Detection Using Deep Learning NetworkJames A. Bednar — 2017
• Fine-Tuning CNN Image Retrieval with No Human AnnotationАтаманов Василий Викторович, Черных Валерий Вячеславович, Топорков Игорь Анатольевич — 2017
• Learning Two-Branch Neural Networks for Image-Text Matching Tasks賢治 木村, 亜紀子 山形, 喜子 木田 — 2017
• Deep Crisp Boundaries: From Boundaries to Higher-Level TasksMikel Aramendi Arteaga — 2018
• Unsupervised Person Re-Identification by Deep Asymmetric Metric EmbeddingAnna Cieszyńska — 2019
• How Well Can a CNN Marginalize Simple Nuisances It is Designed for?Nikolaos Karianakis, Jingming Dong, Stefano Soatto — 2015
• Fast ConvNets Using Group-Wise Brain DamageVadim Lebedev, Victor Lempitsky — 2015
• Dual Memory Architectures for Fast Deep Learning of Stream Data via an Online-Incremental-Transfer StrategySang-Woo Lee, Min-Oh Heo, Jiwon Kim — 2015
• Deep Filter Banks for Texture Recognition, Description, and SegmentationMircea Cimpoi, Subhransu Maji, Iasonas Kokkinos — 2015
• One Shot Learning via Compositions of Meaningful PatchesAlex Wong, Alan Yuille — 2015
• Sketch-a-Net that Beats HumansQian Yu, Yongxin Yang, Yi-Zhe Song — 2015
• Quaddirectional 2D-Recurrent Neural Networks For Image LabelingBing Shuai, Zhen Zuo, Gang Wang — 2015
• PerforatedCNNs: Acceleration through Elimination of Redundant ConvolutionsMichael Figurnov, Aijan Ibraimova, Dmitry Vetrov — 2015
• Human Pose Estimation with Iterative Error FeedbackJoão Carreira, Pulkit Agrawal, Katerina Fragkiadaki — 2015
• Efficient RGB-D object categorization using cascaded ensembles of randomized decision treesUmar Asif, Mohammed Bennamoun, Ferdous Sohel — 2015
• Manitest: Are classifiers really invariant?Alhussein Fawzi, Pascal Frossard — 2015
• Face Identification with Bilinear CNNsAruni RoyChowdhury, Tsung‐Yu Lin, Subhransu Maji — 2015
• When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face RecognitionGuosheng Hu, Yongxin Yang, Yi Dong — 2015
• Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?Raja Giryes, Guillermo Sapiro, Alex Bronstein — 2015
• Deep Convolutional Inverse Graphics NetworkTejas D. Kulkarni, WILLIAM F. WHITNEY, Pushmeet Kohli — 2015

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