• SegNet

  • Referenced in 26 articles [sw27575]
  • SegNet: A deep convolutional encoder-decoder architecture for image segmentation. We present a novel ... practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This ... consists of an encoder network, a corresponding decoder network followed by a pixel-wise classification ... convolutional layers in the VGG16 network. The role of the decoder network...
  • ByteNet

  • Referenced in 4 articles [sw26537]
  • sequences. The ByteNet is a one-dimensional convolutional neural network that is composed ... source sequence and the other to decode the target sequence. The two network parts ... introduce an efficient mechanism by which the decoder is dynamically unfolded over the representation ... encoder. The ByteNet uses dilation in the convolutional layers to increase its receptive field...
  • Jasper

  • Referenced in 4 articles [sw38121]
  • convolutional layers. With this architecture, we achieve 2.95% WER using a beam-search decoder with...
  • TasNet

  • Referenced in 2 articles [sw31221]
  • address these shortcomings, we propose a fully-convolutional time-domain audio separation network (Conv-TasNet ... using a linear decoder. The masks are found using a temporal convolutional network (TCN) consisting...
  • Sockeye

  • Referenced in 2 articles [sw26584]
  • encoder-decoder architectures: attentional recurrent neural networks, self-attentional transformers, and fully convolutional networks. Sockeye...
  • DeMoN

  • Referenced in 1 article [sw42656]
  • learning problem. We train a convolutional network end-to-end to compute depth and camera ... architecture is composed of multiple stacked encoder-decoder networks, the core part being an iterative...
  • MSRGCN

  • Referenced in 1 article [sw42692]
  • propose a novel Multi-Scale Residual Graph Convolution Network (MSR-GCN) for human pose prediction ... each scale are then combined and decoded to obtain the residuals between the input...
  • ConvS2S

  • Referenced in 1 article [sw26536]
  • introduce an architecture based entirely on convolutional neural networks. Compared to recurrent models, computations over ... eases gradient propagation and we equip each decoder layer with a separate attention module...
  • A2J

  • Referenced in 1 article [sw42720]
  • from the state-of-the-art encoder-decoder based FCN, 3D CNN and point ... drive A2J, without using time-consuming 3D convolutional or deconvolutional layers. The experiments...
  • FIAT

  • Referenced in 44 articles [sw00287]
  • Algorithm 839: FIAT, a new paradigm for computing...
  • GAP

  • Referenced in 3221 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • gmp

  • Referenced in 289 articles [sw00363]
  • GMP is a free library for arbitrary precision...
  • Magma

  • Referenced in 3363 articles [sw00540]
  • Computer algebra system (CAS). Magma is a large...
  • Mathematica

  • Referenced in 6445 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 13702 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • NTL

  • Referenced in 222 articles [sw00638]
  • NTL is a high-performance, portable C++ library...
  • R

  • Referenced in 10196 articles [sw00771]
  • R is a language and environment for statistical...
  • SageMath

  • Referenced in 2033 articles [sw00825]
  • Sage (SageMath) is free, open-source math software...
  • SINGULAR

  • Referenced in 1522 articles [sw00866]
  • SINGULAR is a Computer Algebra system (CAS) for...
  • SPIRAL

  • Referenced in 48 articles [sw00903]
  • The SPIRAL system (www.spiral.net) is a tool for...