Abstract: Three-dimensional railway object detection is vital to the environmental perception of intelligent railway transportation systems. However, owing to the complexity of railway environments, ...
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: Custom object detection systems are essential for meeting the specialized requirements of diverse applications, including manufacturing and biomedical engineering. Conventional deep-learning ...
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