Efficient Transformer for Remote Sensing Image Segmentation
Semantic segmentation for remote sensing images (RSIs) is widely applied in geological surveys, urban resources management, and disaster monitoring. Recent solutions on remote sensing segmentation tasks are generally addressed by CNN-based models and transformer-based models. In particular, transfor...
Principais autores: | Zhiyong Xu, Weicun Zhang, Tianxiang Zhang, Zhifang Yang, Jiangyun Li |
---|---|
Formato: | Artigo |
Idioma: | English |
Publicado em: |
MDPI AG
2021-09-01
|
coleção: | Remote Sensing |
Assuntos: | |
Acesso em linha: | https://www.mdpi.com/2072-4292/13/18/3585 |
Registros relacionados
-
Swin Transformer Embedding Dual-Stream for Semantic Segmentation of Remote Sensing Imagery
por: Xuanyu Zhou, et al.
Publicado em: (2024-01-01) -
TMNet: A Two-Branch Multi-Scale Semantic Segmentation Network for Remote Sensing Images
por: Yupeng Gao, et al.
Publicado em: (2023-06-01) -
CCTNet: Coupled CNN and Transformer Network for Crop Segmentation of Remote Sensing Images
por: Hong Wang, et al.
Publicado em: (2022-04-01) -
Transformer-Based Model with Dynamic Attention Pyramid Head for Semantic Segmentation of VHR Remote Sensing Imagery
por: Yufen Xu, et al.
Publicado em: (2022-11-01) -
CFM-UNet: A Joint CNN and Transformer Network via Cross Feature Modulation for Remote Sensing Images Segmentation
por: Min WANG, Peidong WANG
Publicado em: (2023-12-01)