HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
Johan Vertens,Jannik Zürn,Wolfram Burgard,Johan Vertens,Jannik Zürn,Wolfram Burgard
The majority of learning-based semantic segmentation methods are optimized for daytime scenarios and favorable lighting conditions. Real-world driving scenarios, however, entail adverse environmental conditions such as nighttime illumination or glare which remain a challenge for existing approaches. In this work, we propose a multimodal semantic segmentation model that can be applied during daytim...
