Abstract: Few-shot object detection (FSOD) aims to detect new object categories with a few annotated samples and has achieved great development. However, compared with general object detection, object ...
Abstract: To address the challenges of low detection accuracy, high miss rates, and inefficient model computation in complex road scenes, this study introduces RD-YOLO, an enhanced version of the ...
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