An effective dual encoder network with a feature attention large kernel for building extraction

Transformer models boost building extraction accuracy by capturing global features from images. However, convolutional networks’ potential in local feature extraction remains underutilized in CNN + Transformer models, limiting performance. To harness convolutional networks for local feature extracti...

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Bibliographic Details

Published in:	Geocarto International
Main Authors:	Shaobo Qiu, Jingchun Zhou, Yuan Liu, Xiangrui Meng
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-01-01
Subjects:	Buildings image semantic segmentation dual encoder feature attention large kernel
Online Access:	https://www.tandfonline.com/doi/10.1080/10106049.2024.2375572