tian526's Stars
ygean/SE_DenseNet
This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.
CommissarMa/MCNN-pytorch
This is an simple implemention of Single-Image Crowd Counting via Multi-Column Convolutional Neural Network.
codecat0/CV
本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络,图像生成网络等,并会持续更新!!!
hysts/pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
qubvel/classification_models
Classification models trained on ImageNet. Keras.
jfzhang95/pytorch-video-recognition
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
taki0112/SENet-Tensorflow
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
machrisaa/tensorflow-vgg
VGG19 and VGG16 on Tensorflow
raghakot/keras-resnet
Residual networks implementation using Keras-1.0 functional API
bearpaw/pytorch-classification
Classification with PyTorch.
ry/tensorflow-resnet
ResNet model in TensorFlow
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
moskomule/senet.pytorch
PyTorch implementation of SENet
hujie-frank/SENet
Squeeze-and-Excitation Networks
fishfromsky/Pancreas-Segmentation-using-Deformable-U-Net
基于可变卷积改进的U-Net网络实现对胰腺细胞的精准切割
PeijunCN/DSD-ASPP-Net_pancreas_segmentation
jionie/OrgansegC2F-Tensorflow-GAN
Pancreas Segmentation implemented in Tensorflow, and add a discriminator network
198808xc/OrganSegC2F
A coarse-to-fine framework for organ segmentation from abdominal CT scan
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
IvanKuchin/pancreas_segmentation
Tensorflow implementation of a 3D-CNN U-net with Grid Attention and DSV for pancreas segmentation trained on CT-82.
jgwiese/gdemo_pancreassegmentation
demo of a vae model for pancreas segmentation.
snapfinger/pancreas-seg
Pancreas Segmentation in Abdominal CT Scans with Convolutional Neural Network