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giser18's Projects

3dunetcnn icon 3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

aa-resunet icon aa-resunet

Attention Augmented Convolution based ResUNet for Semantic Segmentation

acc-unet icon acc-unet

ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets

aeronetlib icon aeronetlib

A Remote Sensing data handling library for Deep Learning

ai-toolbox icon ai-toolbox

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

amazing-semantic-segmentation icon amazing-semantic-segmentation

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

an-overview-of-segformer-and-details-description icon an-overview-of-segformer-and-details-description

This repository provides an overview of Segformer, architecture encoder in particular. Some details of Segformer can be misleaded, thus makes a short description here to help understand the model. Meanwhile, the code (Keras/TensorFlow) is also provided for supporting.

attention-module icon attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-gis icon awesome-gis

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

book4_power-of-matrix icon book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;本册有,584幅图,81个代码文件,其中18个Streamlit App;状态:清华社五审五校中;Github稿件基本稳定,欢迎提意见,会及时修改

boundary-loss icon boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

brats_keras icon brats_keras

use keras to implement 3d/2d unet for brats2015 dataset to segment

breizhcrops icon breizhcrops

A Satellite Time Series Dataset for Crop Type Identification

builtup_supervisedlearning_signaturegenerator icon builtup_supervisedlearning_signaturegenerator

this tools creates a high resolution mosaiced image using google static maps api and further uses SLIC algorithms to isolate built area segments. This segments can be used as training samples to train deep learning algorithms which can detect built up area.

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