Abstract: Multispectral imaging and deep learning have emerged as powerful tools supporting diverse use cases from autonomous vehicles to agriculture, infrastructure monitoring and environmental ...

This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...

OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...

Abstract: The Visible-Infrared (VIS-IR) object detection is a challenging detection task, which combines visible and infrared data to give information on the category and location of objects in the ...

In understanding English, as long as you know "what kind of arguments a verb requires," there is no need to formally label the following noun as an object or a complement. Distinguishing between SVO ...