video-quality-metricsTest specified presets/CRF values for the x264 or x265 encoder. Compares VMAF/SSIM/PSNR numerically & via graphs.
Stars: ✭ 87 (+411.76%)
Mutual labels: ssim, psnr
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Stars: ✭ 47 (+176.47%)
Mutual labels: vgg16
Resnet Cifar10 CaffeResNet-20/32/44/56/110 on CIFAR-10 with Caffe
Stars: ✭ 161 (+847.06%)
Mutual labels: vgg16
tf-semantic-segmentation-FCN-VGG16Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF
Stars: ✭ 30 (+76.47%)
Mutual labels: vgg16
Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
Stars: ✭ 29 (+70.59%)
Mutual labels: vgg16
Fcn For Semantic SegmentationImplemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
Stars: ✭ 155 (+811.76%)
Mutual labels: vgg16
ICNRConvolution NN resize initialization for subpixel convolutions
Stars: ✭ 31 (+82.35%)
Mutual labels: superresolution
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (+23.53%)
Mutual labels: superresolution
SrganPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 2,641 (+15435.29%)
Mutual labels: vgg16
DeepfashionApparel detection using deep learning
Stars: ✭ 223 (+1211.76%)
Mutual labels: vgg16
FreezeoutAccelerate Neural Net Training by Progressively Freezing Layers
Stars: ✭ 196 (+1052.94%)
Mutual labels: vgg16
vgg16 batchnormVGG16 architecture with BatchNorm
Stars: ✭ 14 (-17.65%)
Mutual labels: vgg16
Ssd TensorflowA Single Shot MultiBox Detector in TensorFlow
Stars: ✭ 169 (+894.12%)
Mutual labels: vgg16
deep-dream-pytorchPytorch implementation of DeepDream on VGG16 Network
Stars: ✭ 46 (+170.59%)
Mutual labels: vgg16
Tensorflow Vgg16 Train And TestThe purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).
Stars: ✭ 158 (+829.41%)
Mutual labels: vgg16
Retrieval 2017 CamClass-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
Stars: ✭ 219 (+1188.24%)
Mutual labels: vgg16
TensorFlow-SR-DenseNetTensorflow with Image Super-Resolution Using Dense Skip Connections , color
Stars: ✭ 36 (+111.76%)
Mutual labels: superresolution
vgg-caffeThe VGG16 and VGG19 networks in caffe with jupyter notebook
Stars: ✭ 45 (+164.71%)
Mutual labels: vgg16