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Title: GitHub - Lite-Java/DenseNet: Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Open Graph Title: GitHub - Lite-Java/DenseNet: Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

X Title: GitHub - Lite-Java/DenseNet: Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Description: Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). - Lite-Java/DenseNet

Open Graph Description: Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). - Lite-Java/DenseNet

X Description: Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). - Lite-Java/DenseNet

Opengraph URL: https://github.com/Lite-Java/DenseNet

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https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#densely-connected-convolutional-networks-densenets
Densely Connected Convolutional Networkshttp://arxiv.org/abs/1608.06993
Gao Huanghttp://www.cs.cornell.edu/~gaohuang/
Zhuang Liuhttps://liuzhuang13.github.io/
Laurens van der Maatenhttps://lvdmaaten.github.io/
Kilian Weinbergerhttps://www.cs.cornell.edu/~kilian/
technical reporthttps://arxiv.org/pdf/1707.06990.pdf
codehttps://github.com/liuzhuang13/DenseNet/tree/master/models
fb.resnet.torchhttps://github.com/facebook/fb.resnet.torch
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#citation
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#other-implementations
[Caffe]https://github.com/liuzhuang13/DenseNetCaffe
[Caffe]https://github.com/Tongcheng/DN_CaffeScript
[PyTorch]https://github.com/gpleiss/efficient_densenet_pytorch
[PyTorch]https://github.com/andreasveit/densenet-pytorch
[PyTorch]https://github.com/bamos/densenet.pytorch
[PyTorch]https://github.com/baldassarreFe/pytorch-densenet-tiramisu
[MXNet]https://github.com/Nicatio/Densenet/tree/master/mxnet
[MXNet]https://github.com/bruinxiong/densenet.mxnet
[MXNet]https://github.com/miraclewkf/DenseNet
[Tensorflow]https://github.com/YixuanLi/densenet-tensorflow
[Tensorflow]https://github.com/LaurentMazare/deep-models/tree/master/densenet
[Tensorflow]https://github.com/ikhlestov/vision_networks
[Lasagne]https://github.com/Lasagne/Recipes/tree/master/papers/densenet
[Keras]https://github.com/tdeboissiere/DeepLearningImplementations/tree/master/DenseNet
[Keras]https://github.com/robertomest/convnet-study
[Keras]https://github.com/titu1994/DenseNet
[Chainer]https://github.com/t-hanya/chainer-DenseNet
[Chainer]https://github.com/yasunorikudo/chainer-DenseNet
[Torch 3D-DenseNet]https://github.com/barrykui/3ddensenet.torch
[Keras]https://github.com/cmasch/densenet
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#some-following-up-projects
Multi-Scale Dense Convolutional Networks for Efficient Predictionhttps://github.com/gaohuang/MSDNet
DSOD: Learning Deeply Supervised Object Detectors from Scratchhttps://github.com/szq0214/DSOD
CondenseNet: An Efficient DenseNet using Learned Group Convolutionshttps://github.com/ShichenLiu/CondenseNet
Fully Convolutional DenseNets for Semantic Segmentationhttps://github.com/SimJeg/FC-DenseNet
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#contents
Introductionhttps://patch-diff.githubusercontent.com/Lite-Java/DenseNet#introduction
Usagehttps://patch-diff.githubusercontent.com/Lite-Java/DenseNet#usage
Results on CIFARhttps://patch-diff.githubusercontent.com/Lite-Java/DenseNet#results-on-cifar
Results on ImageNet and Pretrained Modelshttps://patch-diff.githubusercontent.com/Lite-Java/DenseNet#results-on-imagenet-and-pretrained-models
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https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#introduction
https://cloud.githubusercontent.com/assets/8370623/17981494/f838717a-6ad1-11e6-9391-f0906c80bc1d.jpg
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herehttps://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md
fb.resnet.torchhttps://github.com/facebook/fb.resnet.torch
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#densenet-and-densenet-bc
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#memory-efficient-implementation-newly-added-feature-on-june-6-2017
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https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#results-on-cifar
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#results-on-imagenet-and-pretrained-models
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fb.resnet.torchhttps://github.com/facebook/fb.resnet.torch
Download (64.5MB)https://drive.google.com/open?id=0B8ReS-sYUS-HWFViYlVlZk9sdHc
Download (114.4MB)https://drive.google.com/open?id=0B8ReS-sYUS-HY25Dc2VrUGlVSGc
Download (161.8MB)https://drive.google.com/open?id=0B8ReS-sYUS-HaDdpNmlWRjJkd3c
Download (230.8MB)https://drive.google.com/open?id=0B8ReS-sYUS-HVXp2RExSTmMzZVU
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#models-in-the-tech-report
technical reporthttps://arxiv.org/pdf/1707.06990.pdf
Download (256MB)https://drive.google.com/file/d/0By1NwtA2JPGzdVRqOEotMUZrbTA/view?usp=sharing
Download (426MB)https://drive.google.com/open?id=0By1NwtA2JPGzdkRDaWQ5M3VHTDg
Download (256MB)https://drive.google.com/file/d/0By1NwtA2JPGzRDhxWGo2a3pOTjA/view?usp=sharing
Download (557MB)https://drive.google.com/file/d/0By1NwtA2JPGzcnFDSE1HQVh4c0k/view?usp=sharing
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#caffe
https://github.com/shicai/DenseNet-Caffehttps://github.com/shicai/DenseNet-Caffe
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#pytorch
PyTorch documentation on modelshttp://pytorch.org/docs/torchvision/models.html?highlight=densenet
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#keras-tensorflow-and-theano
https://github.com/flyyufelix/DenseNet-Kerashttps://github.com/flyyufelix/DenseNet-Keras
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#mxnet
https://github.com/miraclewkf/DenseNethttps://github.com/miraclewkf/DenseNet
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#wide-densenet-for-better-timeaccuracy-and-memoryaccuracy-tradeoff
wide residual networkshttps://github.com/szagoruyko/wide-residual-networks
https://patch-diff.githubusercontent.com/Lite-Java/DenseNet#updates
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