IV 2022 BSL Workshop: Beyond Supervised Learning: Addressing Data Scarcity in Intelligent Transportation Systems
June 5th, 2022 in Aachen, Germany
ABOUT THE WORKSHOP:
The workshop “Beyond Supervised Learning: addressing data scarcity in Intelligent Transportation Systems” wishes to bring together a diverse group of autonomous driving and computer vision researchers and practitioners from industry and academia to discuss novel ways to solve the data-scarcity problems in intelligent vehicles. Specifically, the workshop targets emerging new methods easing the burden of expensive manual labelling through (i) methods for learning with limited labeled data (few-shot learning, weak supervision), (ii) adaptation to novel concepts and data appearances without extensive manual re-labelling (domain adaptation, incremental and open-world recognition), and (iii) ways of economic data acquisition (data augmentation, few-click and interactive annotations).
LIST OF TOPICS:
Authors are invited to submit papers within the scope of intelligent vehicles. Topics of interest include but are not limited to the following: