Ant Group Unveils SkySense: 2.06‑Billion‑Parameter Multimodal Remote‑Sensing Foundation Model Accepted at CVPR 2024

Ant Group introduced SkySense, a 2.06‑billion‑parameter multimodal remote‑sensing foundation model that outperformed 18 international rivals across 17 benchmark tasks, was accepted to CVPR 2024, and aims to support applications such as agriculture, urban planning, and disaster response.

Ant GroupCVPR 2024Multimodal AI

0 likes · 6 min read

Ant Group Unveils SkySense: 2.06‑Billion‑Parameter Multimodal Remote‑Sensing Foundation Model Accepted at CVPR 2024

DataFunTalk

Mar 18, 2022 · Artificial Intelligence

Alternative Data Mining: From 19th‑Century Cholera Mapping to Modern AI‑Driven Risk Modeling

This talk reviews the concept of alternative data, illustrates its early use in John Snow's cholera map, explores contemporary AI‑powered systems such as IBM's Debater and satellite‑based poverty estimation, and presents the speaker's own research on using unconventional data for financial‑market risk detection and prediction.

Artificial IntelligenceRisk ModelingSatellite Imagery

0 likes · 14 min read

Alternative Data Mining: From 19th‑Century Cholera Mapping to Modern AI‑Driven Risk Modeling

Code DAO

Dec 23, 2021 · Artificial Intelligence

Permutation‑Invariant PIUnet Boosts Multi‑Temporal Satellite Image Super‑Resolution

The article explains how satellite images suffer from limited spatial resolution, why the ordering of multi‑temporal frames is irrelevant, and how the PIUnet model introduces permutation‑invariant equivariant layers to achieve state‑of‑the‑art super‑resolution efficiently, winning the AI4EO challenge.

Deep LearningPIUnetSatellite Imagery

0 likes · 6 min read

Permutation‑Invariant PIUnet Boosts Multi‑Temporal Satellite Image Super‑Resolution

Code DAO

Dec 1, 2021 · Artificial Intelligence

Building a Satellite Image Classifier with PyTorch ResNet34

This article walks through creating a satellite image classification pipeline using PyTorch and a pretrained ResNet34 model, covering dataset preparation, project structure, data loading, model definition, training, validation, loss/accuracy plotting, and inference on new images with detailed code examples and results.

Deep LearningImage ClassificationPyTorch

0 likes · 17 min read

Building a Satellite Image Classifier with PyTorch ResNet34

Amap Tech

Mar 23, 2020 · Artificial Intelligence

Satellite Imagery for Map Data Updating: Key Elements, Semantic Segmentation Techniques, and Future Challenges

Gaode leverages high‑resolution satellite imagery as an active discovery tool for map updates, extracting road, region and building elements through advanced semantic segmentation networks (U‑Net, ASPP, attention, non‑local) and instance‑segmentation pipelines, to accelerate accurate road‑network and building‑block data refreshes while addressing future scalability challenges.

Artificial IntelligenceComputer VisionSatellite Imagery

0 likes · 11 min read

Satellite Imagery for Map Data Updating: Key Elements, Semantic Segmentation Techniques, and Future Challenges