Deep gated attention networks for large-scale street-level scene segmentation.

•A novel spatial gated attention mechanism is proposed in the context of pixel-wise labeling tasks.•A multi-scale feature interaction mechanism is proposed for hierarchical feature aggregation.•Different levels of features are re-weighted with the local structure and contextual information.•The proposed GANet can better capture the scene layout and multi-level information of street-view images.•State-of-the-art performance on three challenging large-scale scene segmentation benchmarks is achieved.