Abstract: This work presents a low-cost FPGA-based accelerator for real-time object detection and classification using a compressed YOLOv3-Tiny model. Existing FPGA-based CNN accelerators excel in one ...
Abstract: This study presents IGE-YOLO, a lightweight algorithm based on YOLOv11n designed to address key challenges in water surface object detection including wave noise interference, small target ...
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