Plug and Play Active Learning for Object Detection

arXiv:2211.11612v2 Announce Type: replace-cross
Abstract: Annotating datasets for object detection is an expensive and time-consuming endeavor. To minimize this burden, active learning (AL) techniques are employed to select the most informative samples for annotation within a constrained "annotation budget". Traditional AL strategies typically rely on model uncertainty or sample diversity for query sampling, while more advanced methods have focused on developing AL-specific object detector architectures to enhance performance. However, these specialized approaches are not readily adaptable to different object detectors …

active learning arxiv cs.cv cs.lg detection object type