AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
RF-DETR 是由 Roboflow 提供的实时 transformer,用于目标检测、实例分割和关键点检测(预览)。采用 DINOv2 主干,在 COCO 上达到 SOTA(60.1 AP50:95)。Apache 2.0 许可证。
AI 翻译
RF-DETR is a real-time transformer for object detection, instance segmentation, and keypoint detection (preview) by Roboflow. DINOv2 backbone, SOTA on COCO (60.1 AP50:95). Apache 2.0.
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RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
RF-DETR: Real-Time SOTA Object Detection, Instance Segmentation, and Keypoint Detection
RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, RF-DETR delivers state-of-the-art accuracy and latency trade-offs on Microsoft COCO and RF100-VL.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
RF-DETR: Real-Time SOTA Object Detection, Instance Segmentation, and Keypoint Detection
RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, RF-DETR delivers state-of-the-art accuracy and latency trade-offs on Microsoft COCO and RF100-VL.查看完整 README ↗