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imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnetd.py | """
ResNet(D) with dilation for ImageNet-1K, implemented in Gluon.
Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385.
"""
__all__ = ['ResNetD', 'resnetd50b', 'resnetd101b', 'resnetd152b']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
fro... | 10,821 | 34.250814 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/quartznet.py | """
QuartzNet for ASR, implemented in Gluon.
Original paper: 'QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions,'
https://arxiv.org/abs/1910.10261.
"""
__all__ = ['quartznet5x5_en_ls', 'quartznet15x5_en', 'quartznet15x5_en_nr', 'quartznet15x5_fr', 'quartznet15x5_de',
... | 14,466 | 42.185075 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/preresnet.py | """
PreResNet for ImageNet-1K, implemented in Gluon.
Original papers: 'Identity Mappings in Deep Residual Networks,' https://arxiv.org/abs/1603.05027.
"""
__all__ = ['PreResNet', 'preresnet10', 'preresnet12', 'preresnet14', 'preresnetbc14b', 'preresnet16', 'preresnet18_wd4',
'preresnet18_wd2', 'prer... | 31,235 | 34.175676 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/lednet.py | """
LEDNet for image segmentation, implemented in Gluon.
Original paper: 'LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation,'
https://arxiv.org/abs/1905.02423.
"""
__all__ = ['LEDNet', 'lednet_cityscapes']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBl... | 24,449 | 33.48519 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/superpointnet.py | """
SuperPointNet for HPatches (image matching), implemented in Gluon.
Original paper: 'SuperPoint: Self-Supervised Interest Point Detection and Description,'
https://arxiv.org/abs/1712.07629.
"""
__all__ = ['SuperPointNet', 'superpointnet']
import os
from mxnet import cpu
from mxnet.gluon import nn, Hybr... | 19,321 | 34.323583 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ibndensenet.py | """
IBN-DenseNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net,'
https://arxiv.org/abs/1807.09441.
"""
__all__ = ['IBNDenseNet', 'ibn_densenet121', 'ibn_densenet161', 'ibn_densenet169', 'ibn_densenet201']
import os
from mx... | 14,757 | 32.848624 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/hardnet.py | """
HarDNet for ImageNet-1K, implemented in Gluon.
Original paper: 'HarDNet: A Low Memory Traffic Network,' https://arxiv.org/abs/1909.00948.
"""
__all__ = ['HarDNet', 'hardnet39ds', 'hardnet68ds', 'hardnet68', 'hardnet85']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common i... | 24,619 | 36.134238 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/sinet.py | """
SINet for image segmentation, implemented in Gluon.
Original paper: 'SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and
Information Blocking Decoder,' https://arxiv.org/abs/1911.09099.
"""
__all__ = ['SINet', 'sinet_cityscapes']
import os
from mxnet import cpu
f... | 37,954 | 32.888393 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/shufflenetv2b.py | """
ShuffleNet V2 for ImageNet-1K, implemented in Gluon. The alternative version.
Original paper: 'ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design,'
https://arxiv.org/abs/1807.11164.
"""
__all__ = ['ShuffleNetV2b', 'shufflenetv2b_wd2', 'shufflenetv2b_w1', 'shufflenetv2b_w3d2', 'sh... | 13,269 | 32.00995 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/sparsenet.py | """
SparseNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Sparsely Aggregated Convolutional Networks,' https://arxiv.org/abs/1801.05895.
"""
__all__ = ['SparseNet', 'sparsenet121', 'sparsenet161', 'sparsenet169', 'sparsenet201', 'sparsenet264']
import os
import math
from mxnet import cpu
from mxne... | 13,347 | 31.635697 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/menet.py | """
MENet for ImageNet-1K, implemented in Gluon.
Original paper: 'Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications,'
https://arxiv.org/abs/1803.09127.
"""
__all__ = ['MENet', 'menet108_8x1_g3', 'menet128_8x1_g4', 'menet160_8x1_g8', 'menet228_12x1_g3', 'menet256_12x1_g4... | 17,113 | 33.365462 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/voca.py | """
VOCA for speech-driven facial animation, implemented in Gluon.
Original paper: 'Capture, Learning, and Synthesis of 3D Speaking Styles,' https://arxiv.org/abs/1905.03079.
"""
__all__ = ['VOCA', 'voca8flame']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import ConvBl... | 6,959 | 29.79646 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/shakeshakeresnet_cifar.py | """
Shake-Shake-ResNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Shake-Shake regularization,' https://arxiv.org/abs/1705.07485.
"""
__all__ = ['CIFARShakeShakeResNet', 'shakeshakeresnet20_2x16d_cifar10', 'shakeshakeresnet20_2x16d_cifar100',
'shakeshakeresnet20_2x16d_svhn', 'shakeshakere... | 16,328 | 35.612108 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/wrn_cifar.py | """
WRN for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Wide Residual Networks,' https://arxiv.org/abs/1605.07146.
"""
__all__ = ['CIFARWRN', 'wrn16_10_cifar10', 'wrn16_10_cifar100', 'wrn16_10_svhn', 'wrn28_10_cifar10',
'wrn28_10_cifar100', 'wrn28_10_svhn', 'wrn40_8_cifar10', 'wrn40_8_cifar10... | 12,476 | 34.245763 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/inceptionresnetv2.py | """
InceptionResNetV2 for ImageNet-1K, implemented in Gluon.
Original paper: 'Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning,'
https://arxiv.org/abs/1602.07261.
"""
__all__ = ['InceptionResNetV2', 'inceptionresnetv2']
import os
from mxnet import cpu
from mxnet.gluon impo... | 11,625 | 34.772308 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ghostnet.py | """
GhostNet for ImageNet-1K, implemented in Gluon.
Original paper: 'GhostNet: More Features from Cheap Operations,' https://arxiv.org/abs/1911.11907.
"""
__all__ = ['GhostNet', 'ghostnet']
import os
import math
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import round_channels, ... | 15,156 | 33.060674 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/efficientnet.py | """
EfficientNet for ImageNet-1K, implemented in Gluon.
Original papers:
- 'EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,' https://arxiv.org/abs/1905.11946,
- 'Adversarial Examples Improve Image Recognition,' https://arxiv.org/abs/1911.09665.
"""
__all__ = ['EfficientNet', '... | 44,055 | 37.713533 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/channelnet.py | """
ChannelNet for ImageNet-1K, implemented in Gluon.
Original paper: 'ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions,'
https://arxiv.org/abs/1809.01330.
"""
__all__ = ['ChannelNet', 'channelnet']
import os
from mxnet import cpu
from mxnet.gluon import nn, H... | 19,449 | 30.677524 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/pnasnet.py | """
PNASNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Progressive Neural Architecture Search,' https://arxiv.org/abs/1712.00559.
"""
__all__ = ['PNASNet', 'pnasnet5large']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import conv1x1
from .nasnet import nas... | 18,996 | 30.091653 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/efficientnetedge.py | """
EfficientNet-Edge for ImageNet-1K, implemented in Gluon.
Original paper: 'EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,'
https://arxiv.org/abs/1905.11946.
"""
__all__ = ['EfficientNetEdge', 'efficientnet_edge_small_b', 'efficientnet_edge_medium_b', 'efficientnet_edge_large_b... | 16,355 | 37.850356 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ibnresnext.py | """
IBN-ResNeXt for ImageNet-1K, implemented in Gluon.
Original paper: 'Aggregated Residual Transformations for Deep Neural Networks,' http://arxiv.org/abs/1611.05431.
"""
__all__ = ['IBNResNeXt', 'ibn_resnext50_32x4d', 'ibn_resnext101_32x4d', 'ibn_resnext101_64x4d']
import os
import math
from mxnet import cp... | 12,457 | 32.853261 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/squeezenext.py | """
SqueezeNext for ImageNet-1K, implemented in Gluon.
Original paper: 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.
"""
__all__ = ['SqueezeNext', 'sqnxt23_w1', 'sqnxt23_w3d2', 'sqnxt23_w2', 'sqnxt23v5_w1', 'sqnxt23v5_w3d2', 'sqnxt23v5_w2']
import os
from mxnet import ... | 13,315 | 32.124378 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/xdensenet.py | """
X-DenseNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Deep Expander Networks: Efficient Deep Networks from Graph Theory,'
https://arxiv.org/abs/1711.08757.
"""
__all__ = ['XDenseNet', 'xdensenet121_2', 'xdensenet161_2', 'xdensenet169_2', 'xdensenet201_2', 'pre_xconv3x3_block',
'... | 19,138 | 31.94148 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/diaresnet_cifar.py | """
DIA-ResNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'DIANet: Dense-and-Implicit Attention Network,' https://arxiv.org/abs/1905.10671.
"""
__all__ = ['CIFARDIAResNet', 'diaresnet20_cifar10', 'diaresnet20_cifar100', 'diaresnet20_svhn', 'diaresnet56_cifar10',
'diaresnet56_cifar100', 'd... | 21,836 | 36.137755 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resdropresnet_cifar.py | """
ResDrop-ResNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Deep Networks with Stochastic Depth,' https://arxiv.org/abs/1603.09382.
"""
__all__ = ['CIFARResDropResNet', 'resdropresnet20_cifar10', 'resdropresnet20_cifar100', 'resdropresnet20_svhn']
import os
import numpy as np
import mxnet as mx
... | 11,219 | 33.62963 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/bisenet.py | """
BiSeNet for CelebAMask-HQ, implemented in Gluon.
Original paper: 'BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation,'
https://arxiv.org/abs/1808.00897.
"""
__all__ = ['BiSeNet', 'bisenet_resnet18_celebamaskhq']
import os
from mxnet import cpu
from mxnet.gluon import nn, Hybri... | 13,872 | 30.386878 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnet.py | """
ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385.
"""
__all__ = ['ResNet', 'resnet10', 'resnet12', 'resnet14', 'resnetbc14b', 'resnet16', 'resnet18_wd4', 'resnet18_wd2',
'resnet18_w3d4', 'resnet18', 're... | 30,943 | 34.123723 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/simpleposemobile_coco.py | """
SimplePose(Mobile) for COCO Keypoint, implemented in Gluon.
Original paper: 'Simple Baselines for Human Pose Estimation and Tracking,' https://arxiv.org/abs/1804.06208.
"""
__all__ = ['SimplePoseMobile', 'simplepose_mobile_resnet18_coco', 'simplepose_mobile_resnet50b_coco',
'simplepose_mobile_mo... | 15,126 | 40.217984 | 121 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/cbamresnet.py | """
CBAM-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'CBAM: Convolutional Block Attention Module,' https://arxiv.org/abs/1807.06521.
"""
__all__ = ['CbamResNet', 'cbam_resnet18', 'cbam_resnet34', 'cbam_resnet50', 'cbam_resnet101', 'cbam_resnet152']
import os
from mxnet import cpu
from mxnet.... | 15,289 | 30.987448 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/diracnetv2.py | """
DiracNetV2 for ImageNet-1K, implemented in Gluon.
Original paper: 'DiracNets: Training Very Deep Neural Networks Without Skip-Connections,'
https://arxiv.org/abs/1706.00388.
"""
__all__ = ['DiracNetV2', 'diracnet18v2', 'diracnet34v2']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridB... | 9,008 | 29.03 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/sepreresnet_cifar.py | """
SE-PreResNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['CIFARSEPreResNet', 'sepreresnet20_cifar10', 'sepreresnet20_cifar100', 'sepreresnet20_svhn',
'sepreresnet56_cifar10', 'sepreresnet56_cifar100', '... | 26,868 | 37.604885 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/danet.py | """
DANet for image segmentation, implemented in Gluon.
Original paper: 'Dual Attention Network for Scene Segmentation,' https://arxiv.org/abs/1809.02983.
"""
__all__ = ['DANet', 'danet_resnetd50b_cityscapes', 'danet_resnetd101b_cityscapes', 'ScaleBlock']
import os
import mxnet as mx
from mxnet import cpu
fr... | 14,852 | 32.680272 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/mobilenetv2.py | """
MobileNetV2 for ImageNet-1K, implemented in Gluon.
Original paper: 'MobileNetV2: Inverted Residuals and Linear Bottlenecks,' https://arxiv.org/abs/1801.04381.
"""
__all__ = ['MobileNetV2', 'mobilenetv2_w1', 'mobilenetv2_w3d4', 'mobilenetv2_wd2', 'mobilenetv2_wd4', 'mobilenetv2b_w1',
'mobilenetv2... | 14,563 | 34.696078 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/squeezenet.py | """
SqueezeNet for ImageNet-1K, implemented in Gluon.
Original paper: 'SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size,'
https://arxiv.org/abs/1602.07360.
"""
__all__ = ['SqueezeNet', 'squeezenet_v1_0', 'squeezenet_v1_1', 'squeezeresnet_v1_0', 'squeezeresnet_v1_1']
impor... | 12,810 | 32.018041 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/octresnet_cifar.py | """
Oct-ResNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave
Convolution,' https://arxiv.org/abs/1904.05049.
"""
__all__ = ['CIFAROctResNet', 'octresnet20_ad2_cifar10', 'octresnet20_ad2_cifar100', 'octresnet20... | 12,716 | 36.293255 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/nin_cifar.py | """
NIN for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Network In Network,' https://arxiv.org/abs/1312.4400.
"""
__all__ = ['CIFARNIN', 'nin_cifar10', 'nin_cifar100', 'nin_svhn']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
class NINConv(HybridBlock):
"""
NIN speci... | 8,489 | 31.037736 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/vgg.py | """
VGG for ImageNet-1K, implemented in Gluon.
Original paper: 'Very Deep Convolutional Networks for Large-Scale Image Recognition,'
https://arxiv.org/abs/1409.1556.
"""
__all__ = ['VGG', 'vgg11', 'vgg13', 'vgg16', 'vgg19', 'bn_vgg11', 'bn_vgg13', 'bn_vgg16', 'bn_vgg19', 'bn_vgg11b',
'bn_vgg13b'... | 15,326 | 31.541401 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnet_cub.py | """
ResNet for CUB-200-2011, implemented in Gluon.
Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385.
"""
__all__ = ['resnet10_cub', 'resnet12_cub', 'resnet14_cub', 'resnetbc14b_cub', 'resnet16_cub', 'resnet18_cub',
'resnet26_cub', 'resnetbc26b_cub', 'r... | 15,639 | 35.627635 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/bagnet.py | """
BagNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet,'
https://openreview.net/pdf?id=SkfMWhAqYQ.
"""
__all__ = ['BagNet', 'bagnet9', 'bagnet17', 'bagnet33']
import os
from mxnet import cpu
from mxnet.glu... | 12,862 | 32.066838 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/airnet.py | """
AirNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Attention Inspiring Receptive-Fields Network for Learning Invariant Representations,'
https://ieeexplore.ieee.org/document/8510896.
"""
__all__ = ['AirNet', 'airnet50_1x64d_r2', 'airnet50_1x64d_r16', 'airnet101_1x64d_r2', 'AirBlock', 'AirIn... | 15,893 | 32.461053 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/mnasnet.py | """
MnasNet for ImageNet-1K, implemented in Gluon.
Original paper: 'MnasNet: Platform-Aware Neural Architecture Search for Mobile,' https://arxiv.org/abs/1807.11626.
"""
__all__ = ['MnasNet', 'mnasnet_b1', 'mnasnet_a1', 'mnasnet_small']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
f... | 16,501 | 34.95207 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/pyramidnet_cifar.py | """
PyramidNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Deep Pyramidal Residual Networks,' https://arxiv.org/abs/1610.02915.
"""
__all__ = ['CIFARPyramidNet', 'pyramidnet110_a48_cifar10', 'pyramidnet110_a48_cifar100', 'pyramidnet110_a48_svhn',
'pyramidnet110_a84_cifar10', 'pyramidnet11... | 25,957 | 33.110381 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/preresnet_cifar.py | """
PreResNet for CIFAR/SVHN, implemented in Gluon.
Original papers: 'Identity Mappings in Deep Residual Networks,' https://arxiv.org/abs/1603.05027.
"""
__all__ = ['CIFARPreResNet', 'preresnet20_cifar10', 'preresnet20_cifar100', 'preresnet20_svhn',
'preresnet56_cifar10', 'preresnet56_cifar100', 'pr... | 26,802 | 36.330084 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/alphapose_coco.py | """
AlphaPose for COCO Keypoint, implemented in Gluon.
Original paper: 'RMPE: Regional Multi-person Pose Estimation,' https://arxiv.org/abs/1612.00137.
"""
__all__ = ['AlphaPose', 'alphapose_fastseresnet101b_coco']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from mxnet.gluon.contri... | 7,299 | 32.953488 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/pyramidnet.py | """
PyramidNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Deep Pyramidal Residual Networks,' https://arxiv.org/abs/1610.02915.
"""
__all__ = ['PyramidNet', 'pyramidnet101_a360', 'PyrUnit']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import pre_conv1x1_bloc... | 13,534 | 31.149644 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/seresnet.py | """
SE-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['SEResNet', 'seresnet10', 'seresnet12', 'seresnet14', 'seresnet16', 'seresnet18', 'seresnet26',
'seresnetbc26b', 'seresnet34', 'seresnetbc38b', 'se... | 20,802 | 33.385124 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/seresnet_cub.py | """
SE-ResNet for CUB-200-2011, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['seresnet10_cub', 'seresnet12_cub', 'seresnet14_cub', 'seresnetbc14b_cub', 'seresnet16_cub',
'seresnet18_cub', 'seresnet26_cub', 'seresnetbc26b_cu... | 15,666 | 36.037825 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/densenet.py | """
DenseNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Densely Connected Convolutional Networks,' https://arxiv.org/abs/1608.06993.
"""
__all__ = ['DenseNet', 'densenet121', 'densenet161', 'densenet169', 'densenet201', 'DenseUnit', 'TransitionBlock']
import os
from mxnet import cpu
from mxnet.gl... | 11,737 | 32.346591 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/seresnext.py | """
SE-ResNeXt for ImageNet-1K, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['SEResNeXt', 'seresnext50_32x4d', 'seresnext101_32x4d', 'seresnext101_64x4d']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .... | 9,912 | 32.265101 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/darts.py | """
DARTS for ImageNet-1K, implemented in Gluon.
Original paper: 'DARTS: Differentiable Architecture Search,' https://arxiv.org/abs/1806.09055.
"""
__all__ = ['DARTS', 'darts']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from mxnet.gluon.contrib.nn import Identity
from .common impo... | 21,552 | 27.969086 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/drn.py | """
DRN for ImageNet-1K, implemented in Gluon.
Original paper: 'Dilated Residual Networks,' https://arxiv.org/abs/1705.09914.
"""
__all__ = ['DRN', 'drnc26', 'drnc42', 'drnc58', 'drnd22', 'drnd38', 'drnd54', 'drnd105']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
class DRNConv(Hyb... | 22,644 | 31.35 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/mixnet.py | """
MixNet for ImageNet-1K, implemented in Gluon.
Original paper: 'MixConv: Mixed Depthwise Convolutional Kernels,' https://arxiv.org/abs/1907.09595.
"""
__all__ = ['MixNet', 'mixnet_s', 'mixnet_m', 'mixnet_l']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import round_c... | 23,494 | 35.826019 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/dabnet.py | """
DABNet for image segmentation, implemented in Gluon.
Original paper: 'DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation,'
https://arxiv.org/abs/1907.11357.
"""
__all__ = ['DABNet', 'dabnet_cityscapes']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
f... | 22,095 | 32.682927 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/cgnet.py | """
CGNet for image segmentation, implemented in Gluon.
Original paper: 'CGNet: A Light-weight Context Guided Network for Semantic Segmentation,'
https://arxiv.org/abs/1811.08201.
"""
__all__ = ['CGNet', 'cgnet_cityscapes']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .comm... | 17,360 | 32.068571 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/wrn1bit_cifar.py | """
WRN-1bit for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Training wide residual networks for deployment using a single bit for each weight,'
https://arxiv.org/abs/1802.08530.
"""
__all__ = ['CIFARWRN1bit', 'wrn20_10_1bit_cifar10', 'wrn20_10_1bit_cifar100', 'wrn20_10_1bit_svhn',
'wrn20... | 28,170 | 32.657109 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/condensenet.py | """
CondenseNet for ImageNet-1K, implemented in Gluon.
Original paper: 'CondenseNet: An Efficient DenseNet using Learned Group Convolutions,'
https://arxiv.org/abs/1711.09224.
"""
__all__ = ['CondenseNet', 'condensenet74_c4_g4', 'condensenet74_c8_g8']
import os
from mxnet import cpu
from mxnet.gluon impor... | 17,278 | 30.245931 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/crunet.py | """
CRU-Net, implemented in Gluon.
Original paper: 'Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks,'
https://www.ijcai.org/proceedings/2018/88.
"""
__all__ = ['CRUNet', 'crunet56', 'crunet116']
import os
import math
from mxnet import cpu
from mxnet.gluon imp... | 21,164 | 32.436019 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fbnet.py | """
FBNet for ImageNet-1K, implemented in Gluon.
Original paper: 'FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search,'
https://arxiv.org/abs/1812.03443.
"""
__all__ = ['FBNet', 'fbnet_cb']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
fro... | 11,752 | 33.567647 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/visemenet.py | """
VisemeNet for speech-driven facial animation, implemented in Gluon.
Original paper: 'VisemeNet: Audio-Driven Animator-Centric Speech Animation,' https://arxiv.org/abs/1805.09488.
"""
__all__ = ['VisemeNet', 'visemenet20']
import os
from mxnet import cpu
from mxnet.gluon import nn, rnn, HybridBlock
from .c... | 9,324 | 31.155172 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fractalnet_cifar.py | """
FractalNet for CIFAR, implemented in Gluon.
Original paper: 'FractalNet: Ultra-Deep Neural Networks without Residuals,' https://arxiv.org/abs/1605.07648.
"""
__all__ = ['CIFARFractalNet', 'fractalnet_cifar10', 'fractalnet_cifar100']
import os
import numpy as np
import mxnet as mx
from mxnet import cpu
fro... | 17,294 | 32.195777 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/mobilenetv3.py | """
MobileNetV3 for ImageNet-1K, implemented in Gluon.
Original paper: 'Searching for MobileNetV3,' https://arxiv.org/abs/1905.02244.
"""
__all__ = ['MobileNetV3', 'mobilenetv3_small_w7d20', 'mobilenetv3_small_wd2', 'mobilenetv3_small_w3d4',
'mobilenetv3_small_w1', 'mobilenetv3_small_w5d4', 'mobilen... | 21,706 | 35.238731 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/diaresnet.py | """
DIA-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'DIANet: Dense-and-Implicit Attention Network,' https://arxiv.org/abs/1905.10671.
"""
__all__ = ['DIAResNet', 'diaresnet10', 'diaresnet12', 'diaresnet14', 'diaresnetbc14b', 'diaresnet16', 'diaresnet18',
'diaresnet26', 'diaresnetbc... | 27,098 | 33.565051 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/lffd.py | """
LFFD for face detection, implemented in Gluon.
Original paper: 'LFFD: A Light and Fast Face Detector for Edge Devices,' https://arxiv.org/abs/1904.10633.
"""
__all__ = ['LFFD', 'lffd20x5s320v2_widerface', 'lffd25x8s560v1_widerface']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
f... | 12,410 | 33.28453 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/sepreresnet.py | """
SE-PreResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['SEPreResNet', 'sepreresnet10', 'sepreresnet12', 'sepreresnet14', 'sepreresnet16', 'sepreresnet18',
'sepreresnet26', 'sepreresnetbc26b', 'seprer... | 21,007 | 34.071786 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnext.py | """
ResNeXt for ImageNet-1K, implemented in Gluon.
Original paper: 'Aggregated Residual Transformations for Deep Neural Networks,' http://arxiv.org/abs/1611.05431.
"""
__all__ = ['ResNeXt', 'resnext14_16x4d', 'resnext14_32x2d', 'resnext14_32x4d', 'resnext26_16x4d', 'resnext26_32x2d',
'resnext26_32x4... | 17,156 | 33.245509 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/jasper.py | """
Jasper/DR for ASR, implemented in Gluon.
Original paper: 'Jasper: An End-to-End Convolutional Neural Acoustic Model,' https://arxiv.org/abs/1904.03288.
"""
__all__ = ['Jasper', 'jasper5x3', 'jasper10x4', 'jasper10x5', 'get_jasper', 'MaskConv1d', 'NemoAudioReader',
'NemoMelSpecExtractor', 'CtcDec... | 38,940 | 31.806234 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resneta.py | """
ResNet(A) with average downsampling for ImageNet-1K, implemented in Gluon.
Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385.
"""
__all__ = ['ResNetA', 'resneta10', 'resnetabc14b', 'resneta18', 'resneta50b', 'resneta101b', 'resneta152b']
import os
from mxnet ... | 17,132 | 34.545643 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnesta.py | """
ResNeSt(A) with average downsampling for ImageNet-1K, implemented in Gluon.
Original paper: 'ResNeSt: Split-Attention Networks,' https://arxiv.org/abs/2004.08955.
"""
__all__ = ['ResNeStA', 'resnestabc14', 'resnesta18', 'resnestabc26', 'resnestabc38', 'resnesta50', 'resnesta101',
'resnesta152', ... | 22,512 | 33.849845 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/senet.py | """
SENet for ImageNet-1K, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['SENet', 'senet16', 'senet28', 'senet40', 'senet52', 'senet103', 'senet154', 'SEInitBlock']
import os
import math
from mxnet import cpu
from mxnet.gluon import n... | 15,863 | 31.641975 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/diapreresnet_cifar.py | """
DIA-PreResNet for CIFAR/SVHN, implemented in Gluon.
Original papers: 'DIANet: Dense-and-Implicit Attention Network,' https://arxiv.org/abs/1905.10671.
"""
__all__ = ['CIFARDIAPreResNet', 'diapreresnet20_cifar10', 'diapreresnet20_cifar100', 'diapreresnet20_svhn',
'diapreresnet56_cifar10', 'diapre... | 22,523 | 36.855462 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/simplepose_coco.py | """
SimplePose for COCO Keypoint, implemented in Gluon.
Original paper: 'Simple Baselines for Human Pose Estimation and Tracking,' https://arxiv.org/abs/1804.06208.
"""
__all__ = ['SimplePose', 'simplepose_resnet18_coco', 'simplepose_resnet50b_coco', 'simplepose_resnet101b_coco',
'simplepose_resnet1... | 15,538 | 39.571802 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/vovnet.py | """
VoVNet for ImageNet-1K, implemented in Gluon.
Original paper: 'An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection,'
https://arxiv.org/abs/1904.09730.
"""
__all__ = ['VoVNet', 'vovnet27s', 'vovnet39', 'vovnet57']
import os
from mxnet import cpu
from mxnet.gluon impo... | 11,803 | 32.064426 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/crunetb.py | """
CRU-Net(b), implemented in Gluon.
Original paper: 'Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks,'
https://www.ijcai.org/proceedings/2018/88.
"""
__all__ = ['CRUNetb', 'crunet56b', 'crunet116b']
import os
import math
from mxnet import cpu
from mxnet.glu... | 20,687 | 33.138614 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/espnetv2.py | """
ESPNetv2 for ImageNet-1K, implemented in Gluon.
Original paper: 'ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network,'
https://arxiv.org/abs/1811.11431.
"""
__all__ = ['ESPNetv2', 'espnetv2_wd2', 'espnetv2_w1', 'espnetv2_w5d4', 'espnetv2_w3d2', 'espnetv2_w2']
im... | 20,193 | 32.600666 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/shufflenet.py | """
ShuffleNet for ImageNet-1K, implemented in Gluon.
Original paper: 'ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices,'
https://arxiv.org/abs/1707.01083.
"""
__all__ = ['ShuffleNet', 'shufflenet_g1_w1', 'shufflenet_g2_w1', 'shufflenet_g3_w1', 'shufflenet_g4_w1',
... | 17,247 | 33.222222 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/bamresnet.py | """
BAM-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'BAM: Bottleneck Attention Module,' https://arxiv.org/abs/1807.06514.
"""
__all__ = ['BamResNet', 'bam_resnet18', 'bam_resnet34', 'bam_resnet50', 'bam_resnet101', 'bam_resnet152']
import os
from mxnet import cpu
from mxnet.gluon import nn, ... | 16,255 | 31.253968 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resattnet.py | """
ResAttNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Residual Attention Network for Image Classification,' https://arxiv.org/abs/1704.06904.
"""
__all__ = ['ResAttNet', 'resattnet56', 'resattnet92', 'resattnet128', 'resattnet164', 'resattnet200', 'resattnet236',
'resattnet452']
imp... | 25,649 | 32.096774 | 117 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/centernet.py | """
CenterNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Objects as Points,' https://arxiv.org/abs/1904.07850.
"""
__all__ = ['CenterNet', 'centernet_resnet18_voc', 'centernet_resnet18_coco', 'centernet_resnet50b_voc',
'centernet_resnet50b_coco', 'centernet_resnet101b_voc', 'centernet_r... | 18,867 | 34.466165 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/xdensenet_cifar.py | """
X-DenseNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Deep Expander Networks: Efficient Deep Networks from Graph Theory,'
https://arxiv.org/abs/1711.08757.
"""
__all__ = ['CIFARXDenseNet', 'xdensenet40_2_k24_bc_cifar10', 'xdensenet40_2_k24_bc_cifar100',
'xdensenet40_2_k24_bc_svhn... | 14,171 | 35.245524 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ntsnet_cub.py | """
NTS-Net for CUB-200-2011, implemented in Gluon.
Original paper: 'Learning to Navigate for Fine-grained Classification,' https://arxiv.org/abs/1809.00287.
"""
__all__ = ['NTSNet', 'ntsnet_cub']
import os
import numpy as np
import mxnet as mx
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
fro... | 14,467 | 33.695444 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/proxylessnas_cub.py | """
ProxylessNAS for CUB-200-2011, implemented in Gluon.
Original paper: 'ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware,'
https://arxiv.org/abs/1812.00332.
"""
__all__ = ['proxylessnas_cpu_cub', 'proxylessnas_gpu_cub', 'proxylessnas_mobile_cub', 'proxylessnas_mobile14_cub']
f... | 4,484 | 33.767442 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ibnresnet.py | """
IBN-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net,'
https://arxiv.org/abs/1807.09441.
"""
__all__ = ['IBNResNet', 'ibn_resnet50', 'ibn_resnet101', 'ibn_resnet152']
import os
from mxnet import cpu
from mxnet.gluo... | 14,932 | 31.81978 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/common.py | """
Common routines for models in Gluon.
"""
__all__ = ['round_channels', 'BreakBlock', 'get_activation_layer', 'ReLU6', 'PReLU2', 'HSigmoid', 'HSwish', 'Softmax',
'SelectableDense', 'BatchNormExtra', 'DenseBlock', 'ConvBlock1d', 'conv1x1', 'conv3x3', 'depthwise_conv3x3',
'ConvBlock', 'conv1x... | 84,759 | 32.501976 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/lwopenpose_cmupan.py | """
Lightweight OpenPose 2D/3D for CMU Panoptic, implemented in Gluon.
Original paper: 'Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose,'
https://arxiv.org/abs/1811.12004.
"""
__all__ = ['LwOpenPose', 'lwopenpose2d_mobilenet_cmupan_coco', 'lwopenpose3d_mobilenet_cmupan_coco',
... | 26,308 | 35.138736 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/rir_cifar.py | """
RiR for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Resnet in Resnet: Generalizing Residual Architectures,' https://arxiv.org/abs/1603.08029.
"""
__all__ = ['CIFARRiR', 'rir_cifar10', 'rir_cifar100', 'rir_svhn', 'RiRFinalBlock']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBloc... | 12,481 | 31.761155 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/diapreresnet.py | """
DIA-PreResNet for ImageNet-1K, implemented in Gluon.
Original papers: 'DIANet: Dense-and-Implicit Attention Network,' https://arxiv.org/abs/1905.10671.
"""
__all__ = ['DIAPreResNet', 'diapreresnet10', 'diapreresnet12', 'diapreresnet14', 'diapreresnetbc14b', 'diapreresnet16',
'diapreresnet18', 'd... | 23,989 | 35.293495 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/jasperdr.py | """
Jasper DR (Dense Residual) for ASR, implemented in Gluon.
Original paper: 'Jasper: An End-to-End Convolutional Neural Acoustic Model,' https://arxiv.org/abs/1904.03288.
"""
__all__ = ['jasperdr10x5_en', 'jasperdr10x5_en_nr']
from .jasper import get_jasper
def jasperdr10x5_en(classes=29, **kwargs):
"... | 3,244 | 30.504854 | 119 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/deeplabv3.py | """
DeepLabv3 for image segmentation, implemented in Gluon.
Original paper: 'Rethinking Atrous Convolution for Semantic Image Segmentation,' https://arxiv.org/abs/1706.05587.
"""
__all__ = ['DeepLabv3', 'deeplabv3_resnetd50b_voc', 'deeplabv3_resnetd101b_voc', 'deeplabv3_resnetd152b_voc',
'deeplabv3_... | 22,813 | 38.884615 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fpenet.py | """
FPENet for image segmentation, implemented in Gluon.
Original paper: 'Feature Pyramid Encoding Network for Real-time Semantic Segmentation,'
https://arxiv.org/abs/1909.08599.
"""
__all__ = ['FPENet', 'fpenet_cityscapes']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .com... | 16,864 | 32.662675 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/irevnet.py | """
i-RevNet for ImageNet-1K, implemented in Gluon.
Original paper: 'i-RevNet: Deep Invertible Networks,' https://arxiv.org/abs/1802.07088.
"""
__all__ = ['IRevNet', 'irevnet301', 'IRevDownscale', 'IRevSplitBlock', 'IRevMergeBlock']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from ... | 17,306 | 31.59322 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/model_store.py | """
Model store which provides pretrained models.
"""
__all__ = ['get_model_file']
import os
import zipfile
import logging
from mxnet.gluon.utils import download, check_sha1
_model_sha1 = {name: (error, checksum, repo_release_tag) for name, error, checksum, repo_release_tag in [
('alexnet', '1610', '4dd7cfb6... | 61,759 | 83.718793 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/fastseresnet.py | """
Fast-SE-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Squeeze-and-Excitation Networks,' https://arxiv.org/abs/1709.01507.
"""
__all__ = ['FastSEResNet', 'fastseresnet101b']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from .common import conv1x1_block, SEBlock
f... | 10,500 | 32.336508 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/ibnbresnet.py | """
IBN(b)-ResNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net,'
https://arxiv.org/abs/1807.09441.
"""
__all__ = ['IBNbResNet', 'ibnb_resnet50', 'ibnb_resnet101', 'ibnb_resnet152']
import os
from mxnet import cpu
from mxn... | 13,442 | 31.007143 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/polynet.py | """
PolyNet for ImageNet-1K, implemented in Gluon.
Original paper: 'PolyNet: A Pursuit of Structural Diversity in Very Deep Networks,'
https://arxiv.org/abs/1611.05725.
"""
__all__ = ['PolyNet', 'polynet']
import os
from mxnet import cpu
from mxnet.gluon import nn, HybridBlock
from mxnet.gluon.contrib.nn ... | 38,413 | 32.52007 | 122 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnet_cifar.py | """
ResNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Deep Residual Learning for Image Recognition,' https://arxiv.org/abs/1512.03385.
"""
__all__ = ['CIFARResNet', 'resnet20_cifar10', 'resnet20_cifar100', 'resnet20_svhn',
'resnet56_cifar10', 'resnet56_cifar100', 'resnet56_svhn',
... | 25,521 | 36.09593 | 120 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/nasnet.py | """
NASNet-A for ImageNet-1K, implemented in Gluon.
Original paper: 'Learning Transferable Architectures for Scalable Image Recognition,'
https://arxiv.org/abs/1707.07012.
"""
__all__ = ['NASNet', 'nasnet_4a1056', 'nasnet_6a4032', 'nasnet_dual_path_sequential']
import os
from mxnet import cpu
from mxnet.g... | 41,341 | 29.443299 | 118 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/resnext_cifar.py | """
ResNeXt for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Aggregated Residual Transformations for Deep Neural Networks,' http://arxiv.org/abs/1611.05431.
"""
__all__ = ['CIFARResNeXt', 'resnext20_1x64d_cifar10', 'resnext20_1x64d_cifar100', 'resnext20_1x64d_svhn',
'resnext20_2x32d_cifar10', ... | 71,735 | 39.075978 | 116 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/densenet_cifar.py | """
DenseNet for CIFAR/SVHN, implemented in Gluon.
Original paper: 'Densely Connected Convolutional Networks,' https://arxiv.org/abs/1608.06993.
"""
__all__ = ['CIFARDenseNet', 'densenet40_k12_cifar10', 'densenet40_k12_cifar100', 'densenet40_k12_svhn',
'densenet40_k12_bc_cifar10', 'densenet40_k12_bc... | 32,370 | 37.354265 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/bninception.py | """
BN-Inception for ImageNet-1K, implemented in Gluon.
Original paper: 'Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift,'
https://arxiv.org/abs/1502.03167.
"""
__all__ = ['BNInception', 'bninception']
import os
from mxnet import cpu
from mxnet.gluon import nn,... | 19,996 | 33.008503 | 115 | py |
imgclsmob | imgclsmob-master/gluon/gluoncv2/models/msdnet.py | """
MSDNet for ImageNet-1K, implemented in Gluon.
Original paper: 'Multi-Scale Dense Networks for Resource Efficient Image Classification,'
https://arxiv.org/abs/1703.09844.
"""
__all__ = ['MSDNet', 'msdnet22', 'MultiOutputSequential', 'MSDFeatureBlock']
import os
import math
from mxnet import cpu
from mx... | 20,581 | 31.566456 | 120 | py |
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