channel-attention

akshitac8/BiAM

[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages

kozistr/rcan-tensorflow

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

laugh12321/3D-Attention-Keras

This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

mnikitin/channel-attention

Gluon implementation of channel-attention modules: SE, ECA, GCT

martinwimpff/channel-attention

bmycheez/C3Net

C3Net: Demoireing Network Attentive in Channel, Color and Concatenation (CVPRW 2020)

MahanVeisi8/Latent-Diffusion-MNIST-DDPM-using-Autoencoder

Unlock the potential of latent diffusion models with MNIST! 🚀 Dive into reconstructing and generating digits using cutting-edge techniques like Autoencoders with Channel Attention Blocks and DDPMs. Perfect for enthusiasts of computer vision, deep learning, and generative modeling! 🌌✨

sabrid369/BFMD-SN-U-net

The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"

fitushar/3D-Attention-in-tf2--Position-Channel-attention

This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

maklachur/SCSAtt

Efficient Visual Tracking with Stacked Channel-Spatial Attention Learning

maklachur/SiamFRN

This work proposes a feature refined end-to-end tracking framework with a balanced performance using a high-level feature refine tracking framework. The feature refine module enhances the target feature representation power that allows the network to capture salient information to locate the target. The attention module is employed inside the feature refine mechanism to improve network discrimination power that augments the network ability to track the target in challenging scenarios.

edshkim98/ChannelwiseAttention

Implementation of various channel-wise attention modules

mahidul5130/ChurnNet_Deep_Learning_Enhanced_Customer_Churn-Prediction_in_Telecommunication_Industry

ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry

alizindari/Bifurcated-Auto-Encoder

A bifurcated auto-encoder based on channel-wise and spatial-wise attention mechanism with synthetically generated data for segmentation of covid-19 infected regions in CT images

catsaveearth/Hint-based-Image-Colorization-Using-HSCAU-Net

Hint based Image Colorization ConvNet Challenge 2022 in Computer Vision from Prof. YJ Jung in Gachon Univ

ledsouza/deep-learning-audio-recognition

This project aims to build two Machine Learning models for audio recognition, focusing on security and accessibility.

rajatsaini0294/awesome-attention

All the attention modules proposed yet.