Tobias Riedlinger

Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection

2022 · arXiv (Cornell University)

Active learning as a paradigm in deep learning is especially important in applications involving intricate perception tasks such as object detection where labels are difficult and expensive to acquire. Development of active learning methods in …