Multi-Scale Kolmogorov-Arnold Network (KAN)-Based Linear Attention Network: Multi-Scale Feature Fusion with KAN and Deformable Convolution for Urban Scene Image Semantic Segmentation

Multi-Scale Kolmogorov-Arnold Network (KAN)-Based Linear Attention Network: Multi-Scale Feature Fusion with KAN and Deformable Convolution for Urban Scene Image Semantic Segmentation

The introduction of an attention mechanism in remote sensing image segmentation improves the accuracy of the segmentation. In this paper, a novel multi-scale KAN-based linear attention (MKLA) segmentation network of MKLANet is developed to promote a better segmentation result. A hybrid global–local...

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Bibliographic Details
Main Authors: Yuanhang Li, Shuo Liu, Jie Wu, Weichao Sun, Qingke Wen, Yibiao Wu, Xiujuan Qin, Yanyou Qiao
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Remote Sensing
Subjects:
semantic segmentation
remote sensing image segmentation
attention mechanism
deformable convolution
multi-scale feature fusion
Online Access:https://www.mdpi.com/2072-4292/17/5/802
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