RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released ... which varies with the number of objects in an image. Notably, many YOLO benchmarks ...

Roboflow has launched RF-DETR, a real-time object detection model tailored ... on a streamlined version of Facebook’s DEtection TRansformer (DETR) architecture. The model was designed to address ...

In summary, the contributions of this work are: • A Recurrent-Convolutional Event-Based Object Detection network was introduced by means of the modification of the well-acknowledged real-time detector ...

Abstract: Recently, spotting underwater objects has been increasingly difficult due to the complexities of marine environments and varied visibility conditions. YOLOv10 is notable for its effective, ...

The goal of object detection is to identify and locate objects ... architecture, training techniques, and pre-training. But as models get bigger and more complex, speed and efficiency start to suffer.

Real Time Object Detection is a key component of modern computer vision. The Real Time Object Detection models try to identify & locate objects of interest in ... cannot be applied to all kinds of ...