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saff

pytorch, SAFF, Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification,

satellite-image-classification

A project to explore various satellite imagery classification techniques in remote sensing

satellitepollutioncnn

Developed a novel algorithm to predict air pollution levels with state-of-art accuracy using deep learning and GoogleMaps satellite images

satellitevu-aws-disaster-response-hackathon

Satellite Vu submission for the AWS Disaster Response hackathon

satmae_pp

Official repository for "Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery" (CVPR 2024)

sdgzsl

[ICCV2021] Official Pytorch implementation for SDGZSL (Semantics Disentangling for Generalized Zero-Shot Learning)

seasonal-contrast

seasonal-contrast is a ServiceNow Research project that was started at Element AI.

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

segvit

Official Pytorch Implementation of SegViT: Semantic Segmentation with Plain Vision Transformers

sentinel2-deep-learning

Image classification on Sentinel-2 satellite imagery.

smoke_segmentation

Segmenting smoke plumes and predicting density from GOES imagery

spnet

This is the code for the paper Siamese-Prototype Netwrok for Few-Shot Remote Sensing Image Scene Classification

ssl4eo-s12

SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation

ssmlp-rpl

Spectral-Spatial MLP Network with Reciprocal Points learning for Open-Set Hyperspectral Image Classification

stand-alone-self-attention

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

stconvs2s

Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevier)

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televit

Teleconnection-driven vision transformers for improved long-term forecasting

tfvaegan

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

transfer-learning-library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

trd

Official implementation of "Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships", NeurIPS 2023.

ts-tcc

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

txt2img-mhn

[IEEE TIP 2023] Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks

unet-satellite-image-segmentation

A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.

unet-sentinel

Implementation of the U-Net architecture to read multiband satellite images and predict newer deforestations on the Amazon rainforest.

unida

Code for TGRS paper "Universal Domain Adaptation for Remote Sensing Image Scene Classification"

urban-lu-model

A land use model based on Cellular Automata and Agent-based modelling.

vdt-adapter

This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts'

viirs_fire_ml_clustering

Detecting active fire hotspots and unsupervised clustering hotspots using VIIRS thermal remote sensing data.

vrl_wiki_dataset

Wikipedia articles with labels for 'Detecting Visually Relevant Sentences for Fine-Grained Classification'