
AlexNet
 Referenced in 542 articles
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 AlexNet is a convolutional neural network that is 8 layers deep. You can load...

Keras
 Referenced in 210 articles
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 total modularity, minimalism, and extensibility). supports both convolutional networks and recurrent networks, as well...

UNet
 Referenced in 132 articles
[sw33176]
 Convolutional networks for biomedical image segmentation. There is large consent that successful training of deep ... prior best method (a slidingwindow convolutional network) on the ISBI challenge for segmentation...

SURF
 Referenced in 183 articles
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 relying on integral images for image convolutions; by building on the strengths of the leading...

Faster RCNN
 Referenced in 71 articles
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 Proposal Network (RPN) that shares fullimage convolutional features with the detection network, thus enabling ... region proposals. An RPN is a fully convolutional network that simultaneously predicts object bounds ... into a single network by sharing their convolutional featuresusing the recently popular terminology...

PDENet
 Referenced in 91 articles
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 learn differential operators by learning convolution kernels (filters), and apply neural networks or other machine...

SincPack
 Referenced in 76 articles
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 dimensional Sinc theory – 2. Sinc convolutionboundary integral equation methods for partial differential equations (PDEs...

DeepLab
 Referenced in 39 articles
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 DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs ... have substantial practical merit. First, we highlight convolution with upsampled filters, or ’atrous convolution ... powerful tool in dense prediction tasks. Atrous convolution allows us to explicitly control the resolution ... which feature responses are computed within Deep Convolutional Neural Networks. It also allows...

DnCNN
 Referenced in 50 articles
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 investigating the construction of feedforward denoising convolutional neural networks (DnCNNs) to embrace the progress...

DeCAF
 Referenced in 28 articles
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 DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. We evaluate whether features extracted ... from the activation of a deep convolutional network trained in a fully supervised fashion ... visualize the semantic clustering of deep convolutional features with respect to a variety of such ... opensource implementation of these deep convolutional activation features, along with all associated network parameters...

Xception
 Referenced in 23 articles
[sw39068]
 Xception: Deep Learning with Depthwise Separable Convolutions. We present an interpretation of Inception modules ... convolutional neural networks as being an intermediate step inbetween regular convolution and the depthwise ... separable convolution operation (a depthwise convolution followed by a pointwise convolution). In this light ... depthwise separable convolution can be understood as an Inception module with a maximally large number...

XNORNet
 Referenced in 23 articles
[sw39593]
 XNORNet: ImageNet Classification Using Binary Convolutional Neural Networks. We propose two efficient approximations ... standard convolutional neural networks: BinaryWeightNetworks and XNORNetworks. In BinaryWeightNetworks ... both the filters and the input to convolutional layers are binary. XNORNetworks approximate convolutions ... binary operations. This results in 58x faster convolutional operations and 32x memory savings. XNORNets...

SegNet
 Referenced in 26 articles
[sw27575]
 SegNet: A deep convolutional encoderdecoder architecture for image segmentation. We present a novel ... practical deep fully convolutional neural network architecture for semantic pixelwise segmentation termed SegNet. This ... network is topologically identical to the 13 convolutional layers in the VGG16 network. The role...

MobileNets
 Referenced in 28 articles
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 MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. We present a class of efficient ... streamlined architecture that uses depthwise separable convolutions to build light weight deep neural networks...

OverFeat
 Referenced in 22 articles
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 OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. We present an integrated framework ... using Convolutional Networks for classification, localization and detection. We show how a multiscale and sliding...

FaceNet
 Referenced in 30 articles
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 feature vectors. Our method uses a deep convolutional network trained to directly optimize the embedding...

EfficientNet
 Referenced in 21 articles
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 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. Convolutional Neural Networks (ConvNets) are commonly developed...

MatConvNet
 Referenced in 18 articles
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 MatConvNet – convolutional neural networks for MATLAB. MatConvNet is an open source implementation of Convolutional Neural ... MATLAB functions, providing routines for computing convolutions with filter banks, feature pooling, normalisation, and much...

Inceptionv4
 Referenced in 29 articles
[sw39592]
 Residual Connections on Learning. Very deep convolutional networks have been central to the largest advances...

Glow
 Referenced in 20 articles
[sw34245]
 Glow: Generative Flow with Invertible 1x1 Convolutions. Flowbased generative models (Dinh ... generative flow using an invertible 1x1 convolution. Using our method we demonstrate a significant improvement...