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DETRs Beat YOLOs on Real-Time Object Detection
DETRs Beat YOLOs on Real-time Object Detection
The closer the dot is to the top right of the figure, the higher the quality of the corresponding feature, i.e., the more likely the predicted category and box are to describe the true object. In this paper, we propose the R eal- T ime DE tection TR ansformer ( RT-DETR), the first real-time end-to-end object detector to our best knowledge that addresses the above dilemma. Specifically, we design an efficient hybrid encoder to expeditiously process multi-scale features by decoupling intra-scale interaction and cross-scale fusion to improve speed.
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