Abstract: Contrastive learning is a promising paradigm in the multimodal few-shot domain, leveraging images captured from different sensors as diverse perspectives of the same ground objects. However, ...
Abstract: Airborne object detection and classification play an important role in applications like military surveillance, border security, and public safety. The ability to accurately distinguish ...
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