Abstract: In this paper, we explore incremental few-shot object detection (iFSD), which incrementally learns novel classes using only a few examples without revisiting base classes. Previous iFSD ...
Abstract: This research focuses on solving challenges related to identifying unfamiliar object categories in the realm of Open-Set Object Detection (OSOD) using infrastructure sensors. Traditional ...