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: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...
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