
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 ... consists of an encoder network, a corresponding decoder network followed by a pixelwise classification ... convolutional layers in the VGG16 network. The role of the decoder network...

ByteNet
 Referenced in 4 articles
[sw26537]
 sequences. The ByteNet is a onedimensional 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 beamsearch decoder with...

TasNet
 Referenced in 2 articles
[sw31221]
 address these shortcomings, we propose a fullyconvolutional timedomain audio separation network (ConvTasNet ... using a linear decoder. The masks are found using a temporal convolutional network (TCN) consisting...

Sockeye
 Referenced in 2 articles
[sw26584]
 encoderdecoder architectures: attentional recurrent neural networks, selfattentional transformers, and fully convolutional networks. Sockeye...

DeMoN
 Referenced in 1 article
[sw42656]
 learning problem. We train a convolutional network endtoend to compute depth and camera ... architecture is composed of multiple stacked encoderdecoder networks, the core part being an iterative...

MSRGCN
 Referenced in 1 article
[sw42692]
 propose a novel MultiScale Residual Graph Convolution Network (MSRGCN) 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 stateoftheart encoderdecoder based FCN, 3D CNN and point ... drive A2J, without using timeconsuming 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 highlevel language and interactive...

NTL
 Referenced in 222 articles
[sw00638]
 NTL is a highperformance, 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, opensource 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...