Results 51 to 60 of about 77,868 (177)

U-MoEMamba: A Hybrid Expert Segmentation Model for Cabbage Heads in Complex UAV Low-Altitude Remote Sensing Scenarios

Agriculture
To address the challenges of missed and incorrect segmentation in cabbage head detection under complex field conditions using UAV-based low-altitude remote sensing, this study proposes U-MoEMamba, an innovative dynamic state-space framework with a ...
Rui Li, Xue Ding, Shuangyun Peng, Fapeng Cai   +3 more
doaj   +1 more source

SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation

IEEE Access
Medical image segmentation is essential for clinical diagnosis and treatment planning. Existing segmentation methods encounter challenges such as managing size variations, interpreting contextual relationships, and integrating multi-source data.
Xinghuo Ye, Na Wang
doaj   +1 more source

Back to geometry: Efficient indoor space segmentation from point clouds by 2D–3D geometry constrains

International Journal of Applied Earth Observations and Geoinformation
This paper addresses the challenge of indoor space segmentation from 3D point clouds, which is essential for understanding interior layouts, reconstructing 3D structures, and developing indoor navigation maps.
Shengjun Tang, Junjie Huang, Benhe Cai, Han Du, Baoding Zhou, Zhigang Zhao, You Li, Weixi Wang, Renzhong Guo   +8 more
doaj   +1 more source

Pulmonary Vessel Segmentation via Stage-Wise Convolutional Networks With Orientation-Based Region Growing Optimization

IEEE Access, 2018
For large-scale medical images, automatic pulmonary vessel segmentation is a fundamental and essential research for various pulmonary disease diagnoses.
Yajun Xu, Zhendong Mao, Chunxiao Liu, Bin Wang   +3 more
doaj   +1 more source

FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution [PDF]

, 2020
Zhanpeng Zhang, Kaipeng Zhang
openalex   +3 more sources

Semantic Segmentation Network Based on Adaptive Attention and Deep Fusion Utilizing a Multi-Scale Dilated Convolutional Pyramid

Sensors
Deep learning has recently made significant progress in semantic segmentation. However, the current methods face critical challenges. The segmentation process often lacks sufficient contextual information and attention mechanisms, low-level features lack
Shan Zhao, Zihao Wang, Zhanqiang Huo, Fukai Zhang   +3 more
doaj   +1 more source

Multiscale Features Supported DeepLabV3+ Optimization Scheme for Accurate Water Semantic Segmentation

IEEE Access, 2019
In the task of using deep learning semantic segmentation model to extract water from high-resolution remote sensing images, multiscale feature sensing and extraction have become critical factors that affect the accuracy of image classification tasks.
Ziyao Li, Rui Wang, Wen Zhang, Fengmin Hu, Lingkui Meng   +4 more
doaj   +1 more source

Quantitative analysis of cryo-EM density map segmentation by watershed and scale-space filtering, and fitting of structures by alignment to regions [PDF]

, 2010
Grigore Pintilie, Junjie Zhang, Thomas D. Goddard, Wah Chiu, David C. Gossard   +4 more
openalex   +1 more source

CUS3D: A New Comprehensive Urban-Scale Semantic-Segmentation 3D Benchmark Dataset

Remote Sensing
With the continuous advancement of the construction of smart cities, the availability of large-scale and semantically enriched datasets is essential for enhancing the machine’s ability to understand urban scenes.
Lin Gao, Yu Liu, Xi Chen, Yuxiang Liu, Shen Yan, Maojun Zhang   +5 more
doaj   +1 more source

Scaling Model Checking for Neural Network Analysis via State-Space Reduction and Input Segmentation

, 2023
Mahum Naseer, Osman Hasan, Muhammad Shafique   +2 more
openalex   +2 more sources