Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models

1 code implementation • 4 Mar 2024 • Benedikt Blumenstiel, Viktoria Moor, Romeo Kienzler, Thomas Brunschwiler

Image retrieval enables an efficient search through vast amounts of satellite imagery and returns similar images to a query.

Image Retrieval Retrieval

TensorBank: Tensor Lakehouse for Foundation Model Training

no code implementations • 5 Sep 2023 • Romeo Kienzler, Leonardo Pondian Tizzei, Benedikt Blumenstiel, Zoltan Arnold Nagy, S. Karthik Mukkavilli, Johannes Schmude, Marcus Freitag, Michael Behrendt, Daniel Salles Civitarese, Naomi Simumba, Daiki Kimura, Hendrik Hamann

Storing and streaming high dimensional data for foundation model training became a critical requirement with the rise of foundation models beyond natural language.

CLAIMED -- the open source framework for building coarse-grained operators for accelerated discovery in science

1 code implementation • 12 Jul 2023 • Romeo Kienzler, Rafflesia Khan, Jerome Nilmeier, Ivan Nesic, Ibrahim Haddad

Scientists are well skilled in the process from data to publication.

CLAIMED, a visual and scalable component library for Trusted AI

2 code implementations • 4 Mar 2021 • Romeo Kienzler, Ivan Nesic

Deep Learning models are getting more and more popular but constraints on explainability, adversarial robustness and fairness are often major concerns for production deployment.

Adversarial Robustness Fairness