2019
CAN: Contextual Aggregating Network for Semantic Segmentation
ICASSP 2019accepted
Fully convolutional neural networks (FCNs) have shown great success in dense estimation tasks. One key pillar of such progress is mining multi-scale context cues from features in different convolutional layers. This paper introduces contextual aggregating network(CAN), a generic convolutional featur…