Abstract: Deep learning approaches have demonstrated high effectiveness in 3D object detection tasks. However, they often suffer from a notable drop in performance on the previously trained classes ...
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 ...