Results 81 to 90 of about 6,939 (213)

Two-stage Mamba-based diffusion model for image restoration

Scientific Reports
Image restoration is fundamental in computer vision to restore high-quality images from degraded ones. Recently, models such as the transformer and diffusion have shown notable success in addressing this challenge. However, transformer-based methods face
Lei Liu, Luan Ma, Shuai Wang, Jun Wang, Silas N. Melo   +4 more
doaj   +1 more source

Intelligent traffic management with Mamba-ATSP: Optimizing signal control and path planning using multi-modal data fusion

Alexandria Engineering Journal
Efficient processing of multi-source data and dynamic environments is essential for addressing the complex multi-task challenges in intelligent traffic signal control and path planning.
Xue Li, Zheng Li, Yan Wang
doaj   +1 more source

CDA-mamba: cross-directional attention mamba for enhanced 3D medical image segmentation

Scientific Reports
Recent advances in state space models (SSMs) have demonstrated remarkable efficiency in modeling long-range dependencies, yet their application to 3D medical image segmentation remains underexplored.
Jiashu Xu, Yihua Lan, Yingqi Zhang, Chi Zhang, Sergii Stirenko, Huizhong Li   +5 more
doaj   +1 more source

SonarNet: Global Feature-Based Hybrid Attention Network for Side-Scan Sonar Image Segmentation

Remote Sensing
With the rapid advancement of deep learning techniques, side-scan sonar image segmentation has become a crucial task in underwater scene understanding.
Juan Lei, Huigang Wang, Liming Fan, Qingyue Gu, Shaowei Rong, Huaxia Zhang   +5 more
doaj   +1 more source

FreqMamba: A Frequency-Aware Mamba Framework with Group-Separated Attention for Hyperspectral Image Classification

Remote Sensing
Hyperspectral imagery (HSI), characterized by the integration of both spatial and spectral information, is widely employed in various fields, such as environmental monitoring, geological exploration, precision agriculture, and medical imaging ...
Tong Zhou, Jianghe Zhai, Zhiwen Zhang
doaj   +1 more source

StructMamba: Structured Harmonic and Temporal Music Analysis via Dual-Axis Mamba and Attention

IEEE Access
Modeling musical audio requires capturing hierarchical relationships between harmonic textures, rhythmic motifs, and long-range structural repetitions. Convolutional networks extract local features efficiently, while transformers provide global modeling,
Amit Kumar Bairwa, Siddhanth Bhat, Tanishk Sawant, Manoj Kumar Bohra   +3 more
doaj   +1 more source

DIMformer: A Dynamic Inverted Transformer With Mamba-Cross-Variable Linear Attention for Multivariate Time Series Forecasting

IEEE Access
Multivariate time series prediction has significant practical applications in the fields of finance, electricity and transportation. However, due to the characteristics of high dimensionality, non-stationarity, and complex cross-variable and cross-scale ...
Lin Zhu, Hongfa Liu
doaj   +1 more source

MHS-Mamba: A Multihierarchical Semantic Model for UAV Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) captured by uncrewed aerial vehicles (UAVs) is distinguished by superior spatial resolution and intricate spectral detail, with widespread applications in precise environmental monitoring, agricultural management, and biotic ...
Fengnian Zhao, Zhen Zhang, Lehao Huang, Yingming Hai, Zhitao Fu, Bo-Hui Tang   +5 more
doaj   +1 more source

MTSR: Mamba-Transformer Super-Resolution Model for Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep learning-based methods, particularly Transformer-based approaches, have made remarkable achievements in hyperspectral image super-resolution (SR) tasks.
Zhihua Xie, Guohua Miao, Haolin Chang
doaj   +1 more source

HyM3S: Integrating Multiscale Spatial–Spectral Features With Sequence Modeling for Hyperspectral Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Transformer models have been widely adopted for hyperspectral image (HSI) classification due to their exceptional long-sequence modeling capabilities. However, the self-attention mechanism in Transformers incurs quadratic computational complexity, posing
Yin Chen, Shaoqun Qi, Luhe Wan, Chunlong Du, Zhiwei Lin, Ling Zhu, Xiaona Yu   +6 more
doaj   +1 more source