Remote Sensing Change Detection
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Updated
Dec 3, 2023 - Python
Remote Sensing Change Detection
Proof-of-concept implementation for automated CBAM report
Research Project in A3C reinforcement learning algorithm used for path finding mobile robots
Spatiotemporal encoder-decoder networks with attention for remote photoplethysmography (rPPG)
An Image colorization algorithm using PatchGan and Convolution Block Attention Modules (CBAM)
Pytorch implementation of "Wavelet-based residual attention network for image super-resolution"
Developed a deep novel coupled profile to frontal face recognition network incorporating pose as an auxiliary information via attention mechanism (i.e., implemented a pose attention module).
This repository provides the official implementation of 'Learning to ignore: rethinking attention in CNNs' accepted in BMVC 2021.
The topic was from huawei cloud garbage classification competition.
This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existing CNN vision-based models such as VGGNet, ResNet, and ResNetV2 to perform the Facial Emotion Recognition task.
A minimal Tensorflow2.0 implementation of Resnet on CIFAR10 dataset.
training a classification model with xray14 dataset
Hyperspectral Unmixing via Dual Attention Convolutional Neural Networks | 基于双注意力卷积神经网络的高光谱图像解混
CBAM: Convolutional Block Attention Module for CIFAR100 on VGG19
pytorch implementation of several CNNs for image classification
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