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: The YOLO series has become the most popular frame-work for real-time object detection due to its reasonable trade-off between speed and accuracy. However, we observe that the speed and ...
Abstract: Long-distance detection of maritime ships is pivotal for the development of intelligent collision avoidance systems. Despite significant advancements in target detection achieved through ...
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