4 citations · 16 across the 5 of their papers we have counts for
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quant-ph2023★ 4 cited
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges
Artur Miroszewski, Jakub Nalepa, Bertrand Le Saux +1
The industry of quantum technologies is rapidly expanding, offering promising opportunities for various scientific domains. Among these emerging technologies, Quantum Machine Learn…
cs.CV2023★ 4 cited
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection
Fulvio Sanguigni, Mikolaj Czerkawski, Lorenzo Papa +2
The advancements in the state of the art of generative Artificial Intelligence (AI) brought by diffusion models can be highly beneficial in novel contexts involving Earth observati…