Abstract: Recently deep neural networks (DNNs) have achieved tremendous success for object detection in overhead (e.g., satellite) imagery. One ongoing challenge however is the acquisition of training ...

Or, if you prefer, you can use the "Download Zip" button available through the main repository page. Downloading the project as a .ZIP file will keep the size of the ...

Chandler Moore, a doctoral student at the Air Force Institute of Technology (AFIT), part of Air University, led the institute ...

One of its less obvious strengths is that it works with system objects rather than plain text as command output. That makes it significantly easier to pipe data between commands without parsing ...

HOI-DETR is a transformer-based framework for detecting hands, hand-held objects, and their interactions in images and video. Built on the Co-DETR architecture, it adds a lightweight interaction ...

For the immunoassay using the first top case, the cartridge is initially filled with a running buffer to activate the immobilized capture antibodies on the sensing membrane. Then a mixture of the ...

This version, released by Ultralytics in 2024 as a direct evolution of YOLOv8, incorporates specific innovations oriented toward small object detection, a critical characteristic for the leaf miner ...