zhangyingyue Goto Github PK

pytorch-camp

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-gdn

PyTorch implementation of the Generalized divisive normalization non-linearity layer

radn

[CVPRW 2021] Code for Region-Adaptive Deformable Network for Image Quality Assessment.

rankiqa

The rep for the RankIQA paper in ICCV 2017

resnest

ResNeSt: Split-Attention Network

sca-cnn.cvpr17

Image Captions Generation with Spatial and Channel-wise Attention

sfa

No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019

sgdnet

ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment

spaq

Official SPAQ & Implementation

spatial-pooling-in-iqa

Code for paper - D. Temel and G. AlRegib, "A comparative study of quality and content-based spatial pooling strategies in image quality assessment," 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Orlando, FL, 2015, pp. 732-736.

sppnet-pytorch

A simple Spatial Pyramid Pooling layer which could be added in CNN

spsr

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)

super

Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data

super-resolution.benckmark

Benchmark and resources for single super-resolution algorithms

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-camp

testgit

textzoom

A super-resolution dataset of paired LR-HR scene text images

tf_rankiqa

Tensorflow implement of RankIQA.

transiqa

Image quality assessment by transfer learning

two-stream_iqa

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

wadiqam

Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)

weighted_dcnn_iqa

A tensorflow implementation of the network in "Bosse S, Maniry D, Müller K R, et al. Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment[J]. arXiv preprint arXiv:1612.01697, 2016."

ydfid-1

Yarn-dyed Fabric Image Dataset Version1. From Zhang Hongwei, Artificial Intelligence Research Group, Xi 'an Polytechnic University.