Abstract: Few-shot object detection (FSOD) aims to recognize novel class targets using limited annotated data. Conventional approaches rely on extensive base class training, followed by fine-tuning ...
Abstract: Tiny object detection is a crucial task in the intelligent interpretation of remote sensing imagery, with significant applications in transportation, public security, and emergency ...
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