The Securities and Exchange Commission of Pakistan (SECP) is working with the governments of Punjab and other provinces to ...

Abstract: In industrial bin-picking, robotic systems must estimate the poses of multiple object instances, where accurate pose estimation is essential for reliable downstream manipulation and grasping ...

Abstract: Object detection (OD) is an essential and fundamental task in computer vision (CV) and satellite image processing. Existing deep learning methods have achieved impressive performance thanks ...

Before you let autonomous SOC agents close tickets or quarantine assets, this checklist tells you whether your EDR and asset data is solid enough to trust. It is vendor-agnostic, works with any EDR ...

China has unveiled new measures aimed at strengthening financial support for women's employment and wellbeing, including ...

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 ...