GEOAI April 2024 Newsletter
Update about latest projects and achievements by the GEOAI group
Welcome to the April Newsletter from the GEOAI group at the Lebanese National Center for Remote Sensing - CNRS.
The following are the headlines of our major achievements and updates for the past month:
Efficient adaptation of Foundation Models for Visual Grounding Remote Sensing was presented by GEOAI at European Geosciences Union (EGU) General Assembly 2024 at Vienna:
Foundation models have demonstrated impressive proficiency across multiple domains, including language, vision, and multi-modal applications. In the context of localization-based foundational models, the core strength of such models is their ability to precisely recognize and locate objects across a diverse set of objects in wide-area scenes. Visual Grounding (VG) allows a model to locate any entity in an image based on diverse textual descriptions, enabling open-vocabulary predictions. The insights and methodologies presented in this paper provide valuable guidance for researchers seeking to adapt pretrained models to the RS domain efficiently. This adaptation marks a substantial advancement in the field, offering a significant stride toward enhancing the applicability of visual grounding in remote sensing scenarios.
GEOAI received a 5,000 EUR fund from the ESA Network of Resources (NoR) under the title "Winter Wheat Detection from Sentinel-2 imagery using Transformer-based Foundation Model" to develop our Wheat Locator app. The app was recently featured at WASDI docs.
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