(2) the neck network structure is optimized using the Vovnet Gsconv Cross Stage ... which demonstrates the effectiveness of the improved algorithm (e.g., YOLO-SGF, Guo-Net, TRC-YOLO) in small-object ...

The 18-year-old won $250,000 for training a machine learning model to analyze understudied data from NASA's retired NEOWISE ...

In this tutorial, we will walk through each step to configure a Deeplodocus project for object detection on the COCO dataset using our implementation of YOLOv3 ... entry. That's it! YOLO is configured ...

In this tutorial, we will walk through each step to configure a Deeplodocus project for object detection on the COCO dataset using our implementation of YOLOv3. At the top of the file you'll see the ...

Astronomers call these variable objects: hard-to-catch phenomena like quasars, exploding stars, and paired stars eclipsing each other. But the data on ... of every single detection that we had ...

To address this problem, we propose an efficient object detection method for low-resolution remote sensing images based on the YOLO detector, named CRKD-YOLO. The method constructs a cross-resolution ...