2021
Active Learning for Deep Object Detection via Probabilistic Modeling
ICCV 2021poster
Active learning aims to reduce labeling costs by selecting only the most informative samples on a dataset. Few existing works have addressed active learning for object detection. Most of these methods are based on multiple models or are straightforward extensions of classification methods, hence est…