DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...
Abstract: Using advanced object detection technology, drones can achieve long distance, efficient monitoring, and target recognition, which are widely applied in fields such as military, agriculture, ...
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: Slender objects in remote sensing, such as bridges and trains, represent a unique yet under-researched target because of their extreme aspect ratios. This characteristic presents challenges ...
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