JinglongDu

modulated-deform-conv

deformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

keras-inception-resnet-v2

The Inception-ResNet v2 model using Keras (with weight files)

CBAM.PyTorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

SeaNet-PyTorch

This repository is a PyTorch version of "Soft-edge Assisted Network for Single Image Super-Resolution". (IEEE TIP 2020)

deeplearning-assignment

深度学习笔记

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

LAM_Demo

Demo package for colab tutorial

RFANet

Residual Feature Aggregation Network for Image Super-Resolution

DBPN-Pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

mri-deep-learning-tools

Resurces for MRI images processing and deep learning in 3D

SAN

Exploring Self-attention for Image Recognition, CVPR2020.

Pyramid-Attention-Networks

[IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, compression artifact reduction, super-resolution

SCNet

The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"

MZSR

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

SAN-1

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

CBAM

CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

DCED

CDSR

MRI super-resolution reconstruction using multi-level Conv-Deconv network.

Brain-MRI-Axial-T1-Image-SRCNN-

Using Three Layers SRCNN (Proposed by Chao Dong at all) to Brain MRI Axial T1 Image. I programmed with Python tensorflow. Training the model in Google colab.

pytorch-deform-conv-v2

PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

hosts

镜像：https://coding.net/u/scaffrey/p/hosts/git

DDSR

MRI super-resolution reconstruction method: DDSR and DDSR+.

Single-Image-Super-Resolution

A collection of high-impact and state-of-the-art SR methods

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

super-resolution-1

collection of super-resolution models & algorithms

PixelShuffle3D

implement of PixelShuffle3D module with pytorch

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06