Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...
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, ...
Background & Motivation Background: Open-Vocabulary Object Detection (OVOD) requires detectors to recognize categories not annotated during training. The mainstream approach leverages the cross-modal ...
Abstract: Maritime environments often face visibility challenges due to haze which significantly impacts detection models. However, existing maritime object detection algorithms often neglect haze ...
Abstract: YOLOv10, known for its efficiency in object detection methods, quickly and accurately detects objects in images. However, when detecting small objects in remote sensing imagery, traditional ...
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