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The official implement of 《A Comprehensive Deep-Learning Framework for Fine-Grained Farmland Mapping from High-Resolution Images》

Simplified Object-Based Deep Neural Network for Very High Resolution Remote Sensing Image Classification

ebooks about cpp programing

Object-based land cover classification with Support Vector Machine for Google Earth Engine

Resources for deep learning with satellite & aerial imagery

CDTStudio is an open-source and cross-platform desktop software in object-based image analysis (OBIA or GeoOBIA)

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020 & TPAMI 2023) https://arxiv.org/pdf/2011.09766.pdf

SS-MAE: Spatial-Spectral Masked Auto-Encoder for Mulit-Source Remote Sensing Image Classification (IEEE TGRS 2023)

This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"

(IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing

Object-based CNN

Remote sensing image classification based on deep learning

An Object-Oriented Method for Extracting Single-Object Aquaculture Ponds from 10 m Resolution Sentinel-2 Images on Google Earth Engine

Techniques for deep learning with satellite & aerial imagery

This is the pytorch implement of our paper "RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model"

OMG-LLaVA and OMG-Seg codebase [CVPR-24 and NeurIPS-24]

RSVG: Exploring Data and Model for Visual Grounding on Remote Sensing Data, 2022

Awesome-Remote-Sensing-Vision-Language-Models

Official Code Repository for our TGRS paper - Hyperspectral Image Classification With Contrastive Graph Convolutional Network

Open-source codes and annotated datasets in CVEO recent work "Object-based Classification Framework of Remote Sensing Images with Graph Convolutional Networks" on IEEE Geoscience and Remote Sensing…

MC-QCNN: Multi-Channel Quantum Convolutional Neural Network

Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.

Graph Neural Network Library for PyTorch

pix2tex: Using a ViT to convert images of equations into LaTeX code.

this repository accompanies the book "Grokking Deep Learning"

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