residual-learning

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

<img alt="octocat" src="https://github.githubassets.com/images/icons/emoji/octocat.png?v8" /><img alt="octocat" src="https://github.githubassets.com/images/icons/emoji/octocat.png?v8" />A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

Winner solution of mobile AI (CVPRW 2021).

Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis

Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).

LIDIA: Lightweight Learned Image Denoising with Instance Adaptation (NTIRE, 2020)

Source code of "Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification"

Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)

The Pytorch implementation for "Learning to Forecast and Refine Residual Motion for Image-to-Video Generation" (ECCV 2018).

DeepDTI Tutorial

Official implementation of TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing (MIDL 2022)

Code of MICRON, MIMIC data processing, Residual Learning

[ICCV W] Contextual Convolutional Neural Networks (https://arxiv.org/pdf/2108.07387.pdf)

Implementation of GoogLeNet series Algorithm

🧠 ResNet: Deep Residual Learning for Image Recognition

tensorflow implementation of dr2net