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Superpixel-based Graph Convolutional Network for Semantic Segmentation
Fully differentiable deep-neural decision forest in tensorflow
超清遥感图像的语义分割，内附类别不平衡损失为何失效
deep learning for image processing including classification and object-detection etc.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image …
Computer generated building footprints for the United States
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Implementation of the Swin Transformer in PyTorch.
Datasets and Code for: https://arxiv.org/pdf/2305.14914.pdf
Officail Repo for the EarthNets Platform. https://arxiv.org/pdf/2210.04936.pdf
The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"
Python library to run Kinect Azure DK SDK functions
Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
Fast, accurate and easy to run dense optical flow with python wrapper
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.
Superpixel-enhanced Deep Neural Forest for Remote Sensing Image Semantic Segmentation
Pytorch Implementation of LNSNet for Superpixel Segmentation
A Multiclass Weed Species Image Dataset for Deep Learning