Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation
(2021)
Presentation / Conference Contribution
Robust semantic scene segmentation for automotive applications is a challenging problem in two key aspects: (1) labelling every individual scene pixel and (2) performing this task under unstable weather and illumination changes (e.g., foggy weather),... Read More about Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation.