RF-DETR is a real-time transformer architecture for object detection and instance segmentation developed by Roboflow. Built on a DINOv2 vision transformer backbone, RF-DETR delivers state-of-the-art ...
Desktop studio for exporting Ultralytics YOLO .pt and Roboflow RF-DETR .pth models into deployment-ready formats. Select your Ultralytics YOLO .pt or Roboflow RF-DETR .pth model, pick an export target ...
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Abstract: Few-shot domain-adaptive object detection (FSDAOD) aims to transfer knowledge from a source domain to a target domain with limited labeled data, which faces severe challenges in the field of ...
Abstract: DETR-based methods have shown impressive performance in object detection tasks. The original DETR employs one-to-one sparse supervision, resulting in poor supervision capability. Denoising ...
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