Software Engineers Can Now Use DETRs For Real-time Object Detection
RT-DETR outperforms YOLO in real-time object detection, achieving 53.1% AP at 108 FPS, addressing speed-accuracy trade-off with efficient hybrid encoder & uncertainty-minimal query selection.
This is a Plain English Papers summary of a research paper called DETRs Beat YOLOs on Real-time Object Detection. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview The YOLO series has become a popular framework for real-time object detection, but its speed and accuracy are negatively affected by the non-maximum suppression (NMS) process. Transformer-based object detectors (DETRs) provide an alternative by eliminating the need for NMS, but their high computational cost limits their practicality. This paper introd...