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EY Open Challenge 2024 - Satellite Image Classification
This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"
This repository contains code for experiments using the winning mode for xView2 "xView2: Assess Building Damage" challenge and a simple implementation of our strong baseline.
Above ground biomass estimation of Finland's boreal forest using Sentinel time series data
A CNN Regression Model to Estimate Buildings Height Maps Using Sentinel-1 SAR and Sentinel-2 MSI Time Series (IGARSS 2023)
Object Detection on Radar sensor and RGB camera images. https://ieeexplore.ieee.org/document/9191046
Context Aware Change Detection With Semi Supervised Learning
How High are We? Large-Scale Building Height Estimation Using Sentinel-1 Sar and Sentinel-2 Msi Time Series
Code for Transformers Solve Limited Receptive Field for Monocular Depth Prediction
Unsupervised Change Detection https://doi.org/10.1016/j.jag.2023.103635
This a repository with the winners' code from the BioMassters challenge
Supervised Change Detection for Floods. https://ieeexplore.ieee.org/document/9883132
Optimized Text Document Classification
Flood Segmentation on SAR [Frontiers in Remote Sensing: https://doi.org/10.3389/frsen.2022.1060144]
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
TF MOtif Discovery from Importance SCOres