Transactions on Intelligent Transportation Systems (T-ITS) 2017

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

Transactions on Intelligent Transportation Systems (T-ITS) 2017 Eromera/erfnet_pytorch

A comprehensive set of experiments on the publicly available Cityscapes dataset demonstrates that our system achieves an accuracy that is similar to the state of the art, while being orders of magnitude faster to compute than other architectures that achieve top precision.

REAL-TIME SEMANTIC SEGMENTATION SCENE UNDERSTANDING