Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates

Understand

Instance segmentation with neural networks is an essential task in environment perception.

• In many works, it has been observed that neural networks can predict false positive instances with high confidence values and true positives with low ones.
• Thus, it is important to accurately model the uncertainties of neural networks in order to prevent safety issues and foster interpretability.
• In applications such as automated driving, the reliability of neural networks is of highest interest.