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, ...

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Abstract: In many real-world deployments, manipulators require efficient self-collision detection. Recent research has utilized NN-based detection methods to accelerate collision detection by directly ...

Abstract: Object detection is crucial in diverse autonomous systems like surveillance, autonomous driving, and driver assistance, ensuring safety by recognizing pedestrians, vehicles, traffic lights, ...

This is the official repository with PyTorch implementation of LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection. ☀️ If you find this work useful for your research, please kindly star ...