10 citations · 34 across the 12 of their papers we have counts for
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cs.CV2024★ 10 cited
SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting
Pallavi Jain, Dino Ienco, Roberto Interdonato +2
Pre-trained vision-language models (VLMs), such as CLIP, demonstrate impressive zero-shot classification capabilities with free-form prompts and even show some generalization in sp…
cs.CL2024★ 2 cited
Evaluation of Geographical Distortions in Language Models
Rémy Decoupes, Roberto Interdonato, Mathieu Roche +2
Language models now constitute essential tools for improving efficiency for many professional tasks such as writing, coding, or learning. For this reason, it is imperative to ident…