Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

Last update: Jan 08, 2023

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Deep Learning SA-Net

Overview

SA-Net: Shuffle Attention for Deep Convolutional Neural Networks _(paper)

By Qing-Long Zhang and Yu-Bin Yang

[State Key Laboratory for Novel Software Technology at Nanjing University]

Approach

Figure 1: The Diagram of a shuffle attention module.

Owner

Qing-Long Zhang

Machine Learning Bricklayer

GitHub Repository

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Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

Related tags

Overview

SA-Net: Shuffle Attention for Deep Convolutional Neural Networks _(paper)

Approach

Owner

Qing-Long Zhang

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Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

Related tags

Overview

SA-Net: Shuffle Attention for Deep Convolutional Neural Networks (paper)

Approach

Owner

Qing-Long Zhang

Implementation of Online Label Smoothing in PyTorch

unet-family: Ultimate version

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

Title: Graduate-Admissions-Predictor

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PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."

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Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

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Reinforcement learning models in ViZDoom environment

S2s2net - Sentinel-2 Super-Resolution Segmentation Network

Official implementations of PSENet, PAN and PAN++.

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SA-Net: Shuffle Attention for Deep Convolutional Neural Networks _(paper)