← Search

Xiaofu Wu

2 accepted papers

2020

FDDWNet: A Lightweight Convolutional Neural Network for Real-Time Semantic Segmentation

ICASSP 2020accepted

This paper introduces a lightweight convolutional neural network, called FDDWNet, for real-time accurate semantic segmentation. In contrast to recent advances of lightweight networks that prefer to utilize shallow structure, FDDWNet makes an effort to design more deeper network architecture, while m…

Cited by 0SourceScholar
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…

Cited by 0SourceScholar