
【第208期】YOLOv12:注意力中心的实时目标检测模型
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YOLOv12: Attention-Centric Real-Time Object Detectors
Summary
Researchers introduce YOLOv12, an attention-centric framework for real-time object detection, overcoming the typical speed limitations of attention mechanisms compared to CNNs. This new architecture incorporates an area attention module and residual efficient layer aggregation networks (R-ELAN) to enhance both speed and accuracy. Experiments demonstrate that YOLOv12 surpasses existing state-of-the-art detectors across various…
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