yousofaly's Stars
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
kamyu104/LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 3374 LeetCode Problems (Weekly Update)
zhixuhao/unet
unet for image segmentation
HRNet/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
cl2333/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions
MrGiovanni/UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
tensorflow/gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
zhou13/lcnn
LCNN: End-to-End Wireframe Parsing
amosgropp/IGR
Implicit Geometric Regularization for Learning Shapes
fitodic/centerline
Calculate the polygon's centerline
opencitymodel/opencitymodel
Open citygml data for the United States
motokimura/spacenet_building_detection
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
GDAOSU/LOD2BuildingModel
SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto
zorzi-s/PolyWorldPretrainedNetwork
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
zorzi-s/projectRegularization
Regularization of Building Boundaries using Adversarial and Regularized losses
rodekruis/automated-building-detection
Automated Building Detection using Deep Learning
Li-Li-Whu/Point2Roof
A2Amir/Pix2Pix-for-Semantic-Segmentation-of-Satellite-Images
The presented experiment aims at using Pix2Pix network to segment the building footprint from Satellite Images.
Hua-YS/Semantic-Segmentation-with-Sparse-Labels
codes and data for learning from sparse annotations
Lydorn/polycnn
End-to-End Learning of Polygons for Remote Sensing Image Classification
yi-ming-qian/roofgan
[CVPR 2021] Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses
loosgagnet/Roofline-Extraction
MasterSkepticista/Rooftop-Instance-Segmentation
VGG-16 Model to Segment Rooftops from Aerial Imagery
EL-BID/Building-Detection
jordancaraballo/nga-deep-learning
NGA Deep Learning
loveswine/UNet_keras_for_RSimage
This is a code of U-Net Semantic Segmentation for Remote Sensing Images,mainly for learning and communication
dbaofd/solar-panels-detection
Automatically detect solar panels on satellite imagery.
henyau/Image-Segmentation-with-Unet
Carla simulator
A-Stangeland/SolarDetection
Detection of solar panels from satellite images using deep learning
RiWieland/UNET-Image-Segmentation-Satellite-Pictures
Project to predict housing rooftops on satellite pictures