LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...
Abstract: Object detection applications, especially in autonomous driving, have drawn attention due to the advancements in deep learning. Additionally, with continuous improvements in classical ...
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 ...
A firefighter was transported to the hospital after battling a house fire in Gastonia on Tuesday. Crews from the Gastonia Fire Department, New Hope Fire Department, and Union Road Fire Department ...
Abstract: Due to the continuous development of few-shot learning, there have been notable advancements in methods for few-shot object detection in recent years. However, most existing methods in this ...
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 ...
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