作为对象检测领域的重大突破，RF-DETR在标准基准测试——微软COCO数据集上达成60+AP的同时保持了实时性能，这一成就标志着实对象检测技术的重要进步。具体测试数据显示，模型在处理每幅图像时延迟极低，完全满足实时应用场景的严格时间要求。这种卓越表现主要得益于其优化的架构设计：将Transformer的注意力机制与高效的解码策略相结合，大幅提升了检测速度而不损失精度。此外，模型在Roboflow专门设计的RF100-VL基准测试中也表现出色，展现了出色的泛化能力和实际应用潜力。为验证这一突破性性能，开发者可以在GitHub上直接下载预训练模型，轻松复现测试结果。
This answer comes from the articleRF-DETR: An Open Source Model for Real-Time Visual Object DetectionThe
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