A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network

Understand

Semantic Segmentation (SS) is the task to assign a semantic label to each pixel of the observed images, which is of crucial significance for autonomous vehicles, navigation assistance systems for the visually impaired, and augmented reality devices.

• However, there is still a long way for SS to be put into practice as there are two essential challenges that need to be addressed: efficiency and evaluation criterions for practical application.
• For specific application scenarios, different criterions need to be adopted.
• Recall rate is an important criterion for many tasks like autonomous vehicles.