neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
翻譯準備中
RF-DETR 是一個即時轉換器,用於目標偵測、實例分割與關鍵點偵測(預覽),由 Roboflow 提供。採用 DINOv2 骨幹,在 COCO 上達到 SOTA(60.1 AP50:95)。Apache 2.0 授權。
AI 翻譯
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 是由 Roboflow 開發的即時目標偵測與分割模型架構,在 COCO 上達到 SOTA,支援微調。[ICLR 2026]
AI 翻譯
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
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.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
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.檢視完整 README ↗