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: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
Advances in embedded systems and sensors have enabled efficient, intelligent surveillance solutions that improve safety and ...
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