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
Implementation of various channel-wise attention modules
[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"
C3Net: Demoireing Network Attentive in Channel, Color and Concatenation (CVPRW 2020)
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