A newly discovered celestial object may be a starless cloud that could change how astronomers understand dark matter.
PFRNet: A Small Object Detection Method Based on Parallel Feature Extraction and Attention Mechanism
Abstract: To address the challenge of detecting small objects in aerial and satellite remote sensing images with low-resolution, we propose a high-precision object detection method based on PFRNet.
The output prediction can be used by perception functions to understand the presence and spatial location of an object in an image. Each Isaac ROS Object Detection package is used in a graph of nodes ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
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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