64 citations · 72 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy
Qinfeng Zhu, Jiaze Cao, Yuanzhi Cai +1
Point cloud semantic segmentation, the process of classifying each point into predefined categories, is essential for 3D scene understanding. While image-based segmentation is wide…
Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside Waste
Qinfeng Zhu, Ningxin Weng, Lei Fan +1
Environmental monitoring of lakeside green areas is crucial for environmental protection. Compared to manual inspections, computer vision technologies offer a more efficient soluti…
Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images
Qinfeng Zhu, Yuanzhi Cai, Lei Fan
Recent advancements in autoregressive networks with linear complexity have driven significant research progress, demonstrating exceptional performance in large language models. A r…
Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study
Qinfeng Zhu, Yuan Fang, Yuanzhi Cai +2
Deep learning methods, especially Convolutional Neural Networks (CNN) and Vision Transformer (ViT), are frequently employed to perform semantic segmentation of high-resolution remo…
Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model
Qinfeng Zhu, Yuanzhi Cai, Yuan Fang +4
High-resolution remotely sensed images pose a challenge for commonly used semantic segmentation methods such as Convolutional Neural Network (CNN) and Vision Transformer (ViT). CNN…