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38-cloud-a-cloud-segmentation-dataset

This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.

adaptive-wavelets

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

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.

boundary_loss_for_remote_sensing

Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"

cdlab

Yet another repository for developing and benchmarking deep learning-based change detection methods.

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

change_detection.pytorch

Deep learning models for change detection of remote sensing images

changestar

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002

cloud-cover-winners

Code from the winning submissions for the On Cloud N: Cloud Cover Detection Challenge

cnn-based-cloud-detection-methods

Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery

convnext

Code release for ConvNeXt model

crop-mask

End-to-end workflow for generating high resolution cropland maps

dasnet

data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

ddrnet

The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"

eanet

[PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”

exposure-fusion-shadow-removal

We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fast-scnn

Unofficial implementation of Fast-SCNN: Fast Semantic Segmentation Network

fdanet

This is a reporitory for releasing a novel DA method for high-resolution remote sensing image!

fully_convolutional_change_detection

geoseg

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery. Also, including other vision transformer and CNN for satellite, aerial image and UAV image.

image_seg

A Strong Baseline for Image Semantic Segmentation

lsnet

source code of "LSNet: Extremely lightweight Siamese Network for Change Detection in Remote Sensing Images"

mmdetection_instance_segmentation_demo

How to train an instance segmentation model with mmdetection

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

my_mmdetection

my_custom_mmdetection