Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

Last update: Dec 01, 2022

Overview

FMEN

Lowest memory consumption and second shortest runtime in NTIRE 2022 on Efficient Super-Resolution.

Our paper: Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution .

Main Contribution

Enhanced Residual Block.
High-Frequency Attention Block.
Batch Normalization layers can be applied to attention branch to boost performance.

Train

Our goal is to design a strightforward but powerful backbone for lightweight image super-resolution, so the testing model topology is really simple (only contains five highly optimized operators: 3x3 convolution, LeakyReLU, element-wise addition, element-wise multiplication and sigmoid).

Since there are no other tricks, you can directly adopt EDSR framework to train the model.

Owner

GitHub Repository

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

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Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

Related tags

Overview

FMEN

Main Contribution

Train

Owner

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Scripts used to make and evaluate OpenAlex's concept tagging model

MIM: MIM Installs OpenMMLab Packages

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.

Semi-supervised Stance Detection of Tweets Via Distant Network Supervision

deep learning model with only python and numpy with test accuracy 99 % on mnist dataset and different optimization choices

Speeding-Up Back-Propagation in DNN: Approximate Outer Product with Memory

Matching python environment code for Lux AI 2021 Kaggle competition, and a gym interface for RL models.

Pytorch Implementation of Various Point Transformers

This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework

[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

Read number plates with https://platerecognizer.com/

Latte: Cross-framework Python Package for Evaluation of Latent-based Generative Models

A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision

CVPR2020 Counterfactual Samples Synthesizing for Robust VQA

The Dual Memory is build from a simple CNN for the deep memory and Linear Regression fro the fast Memory

LabelImg is a graphical image annotation tool.

Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

Related tags

Overview

FMEN

Main Contribution

Train

Owner

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Scripts used to make and evaluate OpenAlex's concept tagging model

MIM: MIM Installs OpenMMLab Packages

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

THIS IS THE **OLD** PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.

Semi-supervised Stance Detection of Tweets Via Distant Network Supervision

deep learning model with only python and numpy with test accuracy 99 % on mnist dataset and different optimization choices

Speeding-Up Back-Propagation in DNN: Approximate Outer Product with Memory

Matching python environment code for Lux AI 2021 Kaggle competition, and a gym interface for RL models.

Pytorch Implementation of Various Point Transformers

This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework

[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

Read number plates with https://platerecognizer.com/

Latte: Cross-framework Python Package for Evaluation of Latent-based Generative Models

A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision

CVPR2020 Counterfactual Samples Synthesizing for Robust VQA

The Dual Memory is build from a simple CNN for the deep memory and Linear Regression fro the fast Memory

LabelImg is a graphical image annotation tool.

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD: