• 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 pixel-wise segmentation termed ... engine consists of an encoder network, a corresponding decoder network followed by a pixel-wise ... 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 feed-forward networks such as Convolutional...
  • CNN-RNN

  • Referenced in 6 articles [sw28401]
  • Multi-label 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 Loop-based 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...
  • V-Net

  • 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 graph-based 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 ... first-of-its-kind 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]
  • TensorFlow-based open-source 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 one-dimensional 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...
  • iRNA-PseKNC

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

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