Implement a salt segmentation using PyTorch for TGS Salt Identification Challenge
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Updated
Jun 10, 2024 - Python
Implement a salt segmentation using PyTorch for TGS Salt Identification Challenge
Semantic segmentation models with pretrained convolutional and transformer-based backbones. PyTorch.
Image Debanding using Inversion by Direct Iteration
Domain Adaptive Based Semantic Segmentation
The repo of the ANN's class final project in NCU (Toruń, Poland). It is an implementation of the paper "U-Net: Convolutional Networks for Biomedical Image Segmentation".
a tool for detecting tables in image and analysing complex header
🚗 | UNet implementation using PyTorch | CARVANA Dataset | Car Segmentation
🚧 | Road crack segmentation using PyTorch
3D U-Net model for volumetric semantic segmentation written in pytorch
PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 satellite images.
Segment flood area from aerial RGB images
Automatic information extraction from identity card with ocr
Highway lane segmentation Dataset
PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"
U-Net implementation in PyTorch for segmentation of bio-images
Репозиторий для обучения нейросетевых моделей по семантической сегментации + пример использования моделей на практике
This repository contains the material from the paper "Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation"
A VGG16 backed U-Net model that generates binary masks out of high resolution whole slide images for histopathologists.
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