backbone_class: Types of the encoder, i.e., the convolution network (ConvNet) or ResNet-12 (Res12), default toConvNet balance: This is the balance weight for the metasimclr loss. Default to0 temperature: Temperature over the logits, we #divide# logits with this value. It is useful wh...
class ConvBNLayer(nn.Layer): def __init__(self, in_channels, out_channels, filter_size, stride, groups=1): super().__init__() self.conv = nn.Conv2D( in_channels=in_channels, out_channels=out_channels, kernel_size=filter_size, stride=stride, padding=(filter_size - 1) // 2, ...
Featuring two resonant filters with eight selectable Filter Modes and independent Attack and Release controls, Autofilter lets you modulate filter cutoff frequencies and resonance with a phase-reversible LFO using standard waveforms, a 16-step sequencer, or an envelope follower. The State Space Modeled...
After the process of convolution, a batch normalization is applied86, aimed to minimize the risk of generating values drastically different to the learned distribution, and propagating errors down the layers. The resulting flattened layer, is then fed into two dense layers. These follow the scheme ...
Shazeer, N., et al.: Outrageously large neural networks: the sparsely-gated mixture-of-experts layer. arXiv preprint arXiv:1701.06538 (2017) McCollough, C.H., et al.: Low-dose CT for the detection and classification of metastatic liver lesions: results of the 2016 low dose CT grand ch...
Additional navigation options master 1Branch0Tags Code README MIT license Poly-Scale Convolution Official implementation of our PSConv operator as described inPSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer(ECCV'20) byDuo Li,Anbang YaoandQifeng Chenon theMS COCO 2017...
We also applied the approach to ensure the fc-feature layer not to have a huge number of parameters. We applied the rectified linear unit (ReLU) [62] to all convolution layers and the fc-feature layer. For the fc-output layer, softmax activation is used. For each convolution layer, we...
The convolution kernels in the framework are all 2D. If we let vi-1 represent the input of the lth layer, then the output of the ith feature map in the lth layer can be expressed as:(1)vi(l)=g(l)b(l)+∑j=1k(l-1)Wi,j(l)*vj(l-1).where * represents the convolution ...
Menke, W. and Levin, V.: The cross-convolution method for inter- preting SKS splitting observations, with application to one and two-layer anisotropic earth models, Geophys. J. Int., 154, 379- 392, 2003.Menke, W., Levin, V., 2003. The cross-convolution method for interpreting sks ...
We propose a neural rendering-based system that creates head avatars from a single photograph. Our approach models a person’s appearance by decomposing it into two layers. The first layer is a pose-dependent coarse image that is synthesized by a small n