
MatConvNet
 Referenced in 10 articles
[sw15651]
 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...

DeepLab
 Referenced in 13 articles
[sw15303]
 feature responses are computed within Deep Convolutional Neural Networks. It also allows us to effectively ... multiple scales. ASPP probes an incoming convolutional feature layer with filters at multiple sampling rates...

SegNet
 Referenced in 9 articles
[sw27575]
 novel and practical deep fully convolutional neural network architecture for semantic pixelwise segmentation termed ... engine consists of an encoder network, a corresponding decoder network followed by a pixelwise ... encoder network is topologically identical to the 13 convolutional layers in the VGG16 network...

Lasagne
 Referenced in 6 articles
[sw20936]
 neural networks in Theano. Its main features are: Supports feedforward networks such as Convolutional...

CNNRNN
 Referenced in 6 articles
[sw28401]
 Multilabel Image Classification. While deep convolutional neural networks (CNNs) have shown a great success...

DeepTracker
 Referenced in 3 articles
[sw25889]
 DeepTracker: Visualizing the Training Process of Convolutional Neural Networks. Deep convolutional neural networks (CNNs) have...

JigsawNet
 Referenced in 3 articles
[sw25887]
 JigsawNet: Shredded Image Reassembly using Convolutional Neural Network and Loopbased Composition. This paper proposes ... complicated puzzles. We build a deep convolutional neural network to detect the compatibility...

SyncSpecCnn
 Referenced in 4 articles
[sw26163]
 vertex functions on them by convolutional neural networks, we resort to spectral CNN method that ... graph laplacian eigenbases. Under this setting, our network, named SyncSpecCNN, strive to overcome ... introduce a spectral parameterization of dilated convolutional kernels and a spectral transformer network. Experimentally...

VNet
 Referenced in 2 articles
[sw35860]
 Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. Convolutional Neural Networks (CNNs) have been ... segmentation based on a volumetric, fully convolutional, neural network. Our CNN is trained...

Pixel2Mesh
 Referenced in 3 articles
[sw31205]
 Limited by the nature of deep neural network, previous methods usually represent a 3D shape ... mesh in a graphbased convolutional neural network and produces correct geometry by progressively deforming...

DeepFix
 Referenced in 2 articles
[sw25895]
 DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations. Understanding and predicting ... firstofitskind fully convolutional neural network for accurate saliency prediction. Unlike classical works ... account using network layers with very large receptive fields. Generally, fully convolutional nets are spatially...

Keras
 Referenced in 89 articles
[sw15491]
 Keras is a minimalist, highly modular neural networks library, written in Python and capable ... total modularity, minimalism, and extensibility). supports both convolutional networks and recurrent networks, as well...

DeepTrack
 Referenced in 3 articles
[sw27576]
 online for robust visual tracking. Deep neural networks, albeit their great success on feature learning ... robust tracking algorithm using a single Convolutional Neural Network (CNN) for learning effective feature representations...

NiftyNet
 Referenced in 3 articles
[sw32332]
 TensorFlowbased opensource convolutional neural networks platform for research in medical image analysis...

TorchIO
 Referenced in 3 articles
[sw32330]
 images during the training of convolutional neural networks. We provide multiple generic as well...

ckn_kernel
 Referenced in 5 articles
[sw31148]
 here, here, here) and neural tangent kernels for convolutional networks (NTK or CNTK, see here...

MeshCNN
 Referenced in 2 articles
[sw31207]
 inhibits mesh analysis efforts using neural networks that combine convolution and pooling operations. In this ... shapes using MeshCNN, a convolutional neural network designed specifically for triangular meshes. Analogous to classic...

ByteNet
 Referenced in 2 articles
[sw26537]
 ByteNet is a onedimensional convolutional neural network that is composed of two parts ... decode the target sequence. The two network parts are connected by stacking the decoder ... convolutional layers to increase its receptive field. The resulting network has two core properties ... previous best results obtained with recurrent networks. The ByteNet also achieves state...

iRNAPseKNC
 Referenced in 1 article
[sw27658]
 methylation sites by convolution neural network and Chou’s pseudo components. The 2’Omethylation ... proposed a simple and precise convolution neural network method namely: iRNAPseKNC(2methyl) to identify ... methylation using the proposed convolution neural network model. The proposed prediction iRNAPseKNC(2methyl) method...

FINNR
 Referenced in 1 article
[sw25906]
 Framework for Fast Exploration of Quantized Neural Networks. Convolutional Neural Networks have rapidly become...