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Meanwhile, on the TrashCan-Instance dataset, SvelteF3M-YOLO improves mAP 50–95 from 0.680 to 0.695 over YOLO11n. These results indicate that the proposed framework improves underwater detection ...

Abstract In the realm of computer vision (CV), balancing speed and accuracy remains a significant challenge. Recent efforts have focused on developing lightweight networks that optimize computational ...

Integrating Visual Sensing and Machine Learning for Advancements in Plant Phenotyping and Precision Agriculture ...

Many current microscopy methods increasingly rely on computation as an integral part of the imaging process. This model-based approach to optics—integrating optical system design with algorithmic ...