ACTNet: A Dual-Attention Adapter with a CNN-Transformer Network for the Semantic Segmentation of Remote Sensing Imagery

ACTNet: A Dual-Attention Adapter with a CNN-Transformer Network for the Semantic Segmentation of Remote Sensing Imagery

In recent years, the application of semantic segmentation methods based on the remote sensing of images has become increasingly prevalent across a diverse range of domains, including but not limited to forest detection, water body detection, urban rail transportation planning, and building extractio...

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Bibliographic Details
Main Authors: Zheng Zhang, Fanchen Liu, Changan Liu, Qing Tian, Hongquan Qu
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
remote sensing
semantic segmentation
transformer
adapter
Online Access:https://www.mdpi.com/2072-4292/15/9/2363

Internet

https://www.mdpi.com/2072-4292/15/9/2363

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