The WorldStrat Dataset

Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)

Extended Agriculture-Vision Dataset: A continuous work of Agriculture-Vision, with great collaborators to bring Agriculture and Computer Vision / AI communities together to benefit humanity!

Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation

Rapid map creation with machine learning and earth observation data.

A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.

Code for Benson et. al., CVPR (2024) - Multi-modal learning for geospatial vegetation forecasting

Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source librarie…

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

A dataset with Space (Sentinel-1/2) and Ground (street-level images) components, annotated with crop-type labels for agriculture monitoring.

A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"

The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"

Best Practices, code samples, and documentation for Computer Vision.

List of papers studying machine learning through the lens of category theory

Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities

Code release for ConvNeXt model

Expandable Datasets for Earth Observation

Resources about time series forecasting and deep learning.

GEO-Bench: Toward Foundation Models for Earth Monitoring

This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning task…

Official repository of CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders (NeurIPS '23)

[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

[NeurIPS2021] A plant image dataset with high label ambiguity and a long-tailed distribution

Collection of important articles to be treated as a textbook

Pruning is all you need (hopefully)

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning