55 Open source projects that are alternatives of or similar to SuperResolution-with-Perceptual-loss

Test specified presets/CRF values for the x264 or x265 encoder. Compares VMAF/SSIM/PSNR numerically & via graphs.

Tensorflow with Image Super-Resolution Using Dense Skip Connections , color

Convolution NN resize initialization for subpixel convolutions

Art to Image Style Transfer using Keras and Tensorflow.

Pytorch implementation of DeepDream on VGG16 Network

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

The VGG16 and VGG19 networks in caffe with jupyter notebook

VGG16 architecture with BatchNorm

Pre-trained VGG-Net Model for image classification using tensorflow

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Apparel detection using deep learning

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

SFD implement with pytorch

Accelerate Neural Net Training by Progressively Freezing Layers

Deep learning codes and projects using Python

A Single Shot MultiBox Detector in TensorFlow

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

DSFD implement with pytorch

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Kaggle Data Science Bowl 2018

🙄 Difficult algorithm, Simple code.

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Deep-learning seismic facies on state-of-the-art CNN architectures

VGGNet implemented by tensorflow

Implementation of Neural Image Captioning model using Keras with Theano backend

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

food image to recipe with deep convolutional neural networks.

ImageNet pre-trained models with batch normalization for the Caffe framework

Video Classification using 2 stream CNN

Holistically-Nested Edge Detection

tensorflow implementation of Grad-CAM (CNN visualization)

# This is a image classification by VGG16 pre-trained model.#

A Pytorch Implementation of FER( facial expression recognition )

No description or website provided.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Semantically segment the road in the given image.

Deep Learning using Rectified Linear Units (ReLU)

Detecting near-duplicate videos by aggregating features from intermediate CNN layers

Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)

Example of Deconvnet in PyTorch for VGG16

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping

A Benchmarking Suite for popular Image Optimisation Tools

Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Sensifai image and video enhancement module on mobiles

Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network