ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation

Semantic segmentation is a challenging task that addresses most of the perception needs of intelligent vehicles (IVs) in an unified way. Deep neural networks excel at this task, as they can be trained end-to-end to accurately classify multiple object categories in an image at pixel level. However, a... View More