Cristiano Nattero
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View article: Efficient Adaptation For Remote Sensing Visual Grounding
Efficient Adaptation For Remote Sensing Visual Grounding Open
Adapting pre-trained models has become an effective strategy in artificial intelligence, offering a scalable and efficient alternative to training models from scratch. In the context of remote sensing (RS), where visual grounding(VG) remai…
View article: Automated National Urban Map Extraction
Automated National Urban Map Extraction Open
Developing countries usually lack the proper governance means to generate and regularly update a national rooftop map. Using traditional photogrammetry and surveying methods to produce a building map at the federal level is costly and time…
View article: Efficient adaptation of Foundation Models for Visual Grounding Remote Sensing task
Efficient adaptation of Foundation Models for Visual Grounding Remote Sensing task Open
Foundation models have demonstrated impressive proficiency across multiple domains, including language, vision, and multi-modal applications, establishing new standards for efficiency and adaptability. In the context of localization-based …
View article: WASDI, a cloud platform for Earth Observation and Natural Hazards
WASDI, a cloud platform for Earth Observation and Natural Hazards Open
We present WASDI, an open-source, federated multi-cloud platform for Earth Observation (EO) data that has been used successfully in several impactful international projects in the field of Natural Hazards (NH), in particular with floods an…