3 papers
cs.CV2025
SwinMamba: A hybrid local-global mamba framework for enhancing semantic segmentation of remotely sensed images
Qinfeng Zhu, Han Li, Liang He +1
Semantic segmentation of remote sensing imagery is a fundamental task in computer vision, supporting a wide range of applications such as land use classification, urban planning, a…
cs.CV2025
ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing Imagery
Qinfeng Zhu, Yunxi Jiang, Lei Fan
We propose a result-level category-specific fusion architecture called ClassWise-CRF. This architecture employs a two-stage process: first, it selects expert networks that perform…
cs.CV2024
MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery
Qinfeng Zhu, Yuan Fang, Lei Fan
Crack detection is a critical task in structural health monitoring, aimed at assessing the structural integrity of bridges, buildings, and roads to prevent potential failures. Visi…