DALI 2018 - Andreas Geiger: How to Satisfy the Thirst for Data

Explore cutting-edge approaches to addressing data scarcity in machine learning with Andreas Geiger's insightful conference talk. Delve into innovative techniques such as specialized architectures, soft constraints, self-supervision, mixed reality, and label transfer. Gain valuable insights on improving optical flow algorithms and enhancing generalization capabilities in data-hungry applications. Discover how these methods can revolutionize the field of computer vision and help overcome the challenges posed by limited labeled datasets.