Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Abstract: Training robust object detectors for autonomous driving requires vast amounts of annotated data, making the use of synthetic datasets an attractive alternative. However, models trained on ...
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