DS-Mamba: Depthwise separable mamba for hyperspectral image classification. [PDF]
PLoS ONETransformers experience quadratic computational complexity in hyperspectral image (HSI) classification tasks, which can result in error propagation and memory usage issues.
Lin Wei +4 more
doaj +2 more sources
Spectral-Spatial Mamba for Hyperspectral Image Classification
Remote SensingRecently, transformer has gradually attracted interest for its excellence in modeling the long-range dependencies of spatial-spectral features in HSI.
, Yushi Chen, Lingbo Huang
exaly +3 more sources
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection [PDF]
IEEE Transactions on Geoscience and Remote SensingRecently, infrared small-target detection (ISTD) has made significant progress, thanks to the development of basic models. Specifically, the models combining CNNs with Transformers can successfully extract both local and global features.
Jieping Ye, Zhentao Tan, Bin Liu
exaly +2 more sources
Interpretable vision mamba for SAR images classification [PDF]
Frontiers in NeuroroboticsDeep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance.
Kaiming Zou +5 more
doaj +2 more sources
ASYM: multimodal depression recognition via mamba-enhanced attentive feature fusion [PDF]
Frontiers in PsychiatryIntroductionDepression is a prevalent mental disorder with a severe global impact. Traditional interview-based assessments are limited by subjectivity, lengthy procedures, and unequal access to care.
Caijian Hua +3 more
doaj +2 more sources
Rose-Mamba-YOLO: an enhanced framework for efficient and accurate greenhouse rose monitoring
Frontiers in Plant ScienceAccurately detecting roses in UAV-captured greenhouse imagery presents significant challenges due to occlusions, scale variability, and complex environmental conditions.
Sicheng You +14 more
doaj +2 more sources
AutoMamba: Efficient Autonomous Driving Segmentation Model with Mamba [PDF]
SensorsSemantic segmentation for autonomous driving demands balancing high-fidelity perception with real-time latency. While Transformers achieve state-of-the-art results, their quadratic complexity bottlenecks high-resolution processing.
Haoran Sun, Zhensong Li, Shiliang Zhu
doaj +2 more sources
The challenges of detecting and responding to a Lassa fever outbreak in an Ebola-affected setting
International Journal of Infectious Diseases, 2018 Objectives: Lassa fever (LF), a priority emerging pathogen likely to cause major epidemics, is endemic in much of West Africa and is difficult to distinguish from other viral hemorrhagic fevers, including Ebola virus disease (EVD).
E.L. Hamblion +11 more
doaj +1 more source
MambaHSI: Spatial–Spectral Mamba for Hyperspectral Image Classification [PDF]
IEEE Transactions on Geoscience and Remote SensingTransformer has been extensively explored for hyperspectral image (HSI) classification. However, transformer poses challenges in terms of speed and memory usage because of its quadratic computational complexity. Recently, the Mamba model has emerged as a
Yapeng Li +4 more
semanticscholar +1 more source
Dyskeratosis Congenita: A Report of Two Cases
Case Reports in Dentistry, 2013 Oral manifestations play an important role in the diagnosis of many systemic conditions. Dyskeratosis congenita (DC) is a rare genodermatosis which exhibits oral leukoplakia, nail dystrophy, and reticular skin pigmentations as its primary features.
Anila Karunakaran +4 more
doaj +1 more source