622 Open source projects that are alternatives of or similar to LoveDA

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

An open source framework for deep learning on satellite and aerial imagery.

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Satellite Image Classification using semantic segmentation methods in deep learning

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

A curated list of resources focused on Machine Learning in Geospatial Data Science.

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

This is an collection of blog posts turned into a course format

Adversarial Discriminative Domain Adaptation in Chainer

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

Awesome Spectral Indices in Python.

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

Domain Adaptation

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

segmentation paper reading notes

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Semantically segment the road in the given image.

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

DL & CV & Neural Network

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

Binary semantic segmentation with UNet based on MobileNetV2 encoder

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Reimplementing cool papers in PyTorch...

Tools for detecting deforestation and forest degradation

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

This is a fully convolutional neural net exercise to detect houses from aerial images.

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

trends.earth - measure land change