38 citations · 39 across the 4 of their papers we have counts for
4 papers · 1 filter
URNet: A Unified Reparameterized Network for Efficient RGB-D Semantic Segmentation
Guoan Xu, Zhengxue Wang, Yang Xiao +3
Previous RGB-D semantic segmentation methods commonly employ dual encoders to separately process RGB and depth inputs, followed by dedicated modules for cross-modal feature fusion.…
MacFormer: Semantic Segmentation with Fine Object Boundaries
Guoan Xu, Wenfeng Huang, Tao Wu +5
Semantic segmentation involves assigning a specific category to each pixel in an image. While Vision Transformer-based models have made significant progress, current semantic segme…
HAFormer: Unleashing the Power of Hierarchy-Aware Features for Lightweight Semantic Segmentation
Guoan Xu, Wenjing Jia, Tao Wu +2
Both Convolutional Neural Networks (CNNs) and Transformers have shown great success in semantic segmentation tasks. Efforts have been made to integrate CNNs with Transformer models…
MFPNet: Multi-scale Feature Propagation Network For Lightweight Semantic Segmentation
Guoan Xu, Wenjing Jia, Tao Wu +1
In contrast to the abundant research focusing on large-scale models, the progress in lightweight semantic segmentation appears to be advancing at a comparatively slower pace. Howev…