Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
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Updated
May 25, 2019 - Python
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow
This repo contains the 3D implementation of the commonly used attention mechanism for imaging.
Gluon implementation of channel-attention modules: SE, ECA, GCT
All the attention modules proposed yet.
Implementation of various channel-wise attention modules
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
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 fe…
[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages
Hint based Image Colorization ConvNet Challenge 2022 in Computer Vision from Prof. YJ Jung in Gachon Univ
This repo contains the 3D implementation of the commonly used attention mechanism for imaging.
Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation"
Efficient Visual Tracking with Stacked Channel-Spatial Attention Learning
The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"
ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry
C3Net: Demoireing Network Attentive in Channel, Color and Concatenation (CVPRW 2020)
This project aims to build two Machine Learning models for audio recognition, focusing on security and accessibility.
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