no code implementations • 20 Dec 2023 • Libo Wang, Sijun Dong, Ying Chen, Xiaoliang Meng, Shenghui Fang, Ayman Habib, Songlin Fei
Semantic segmentation of remote sensing images plays a vital role in a wide range of Earth Observation (EO) applications, such as land use land cover mapping, environment monitoring, and sustainable development.
no code implementations • 29 Nov 2021 • Libo Wang, Shenghui Fang, Rui Li, Xiaoliang Meng
Second, spatial details are not sufficiently preserved during the feature extraction of the Vision Transformer, resulting in the inability for fine-grained building segmentation.
1 code implementation • 18 Sep 2021 • Libo Wang, Rui Li, Ce Zhang, Shenghui Fang, Chenxi Duan, Xiaoliang Meng, Peter M. Atkinson
In this paper, we propose a Transformer-based decoder and construct a UNet-like Transformer (UNetFormer) for real-time urban scene segmentation.
Ranked #1 on Scene Segmentation on UAVid
1 code implementation • 25 Apr 2021 • Libo Wang, Rui Li, Chenxi Duan, Ce Zhang, Xiaoliang Meng, Shenghui Fang
The fully convolutional network (FCN) with an encoder-decoder architecture has been the standard paradigm for semantic segmentation.
Ranked #3 on Semantic Segmentation on ISPRS Potsdam (using extra training data)