Search Results - ((sam OR same)e OR some)e segmentation

Segment Anything Model (SAM) and Medical SAM (MedSAM) for Lumbar Spine MRI by Christian Chang, Hudson Law, Connor Poon, Sydney Yen, Kaustubh Lall, Armin Jamshidi, Vadim Malis, Dosik Hwang, Won C. Bae

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Remote Sensing Extraction of Damaged Buildings in the Shigatse Earthquake, 2025: A Hybrid YOLO-E and SAM2 Approach by Zhimin Wu, Chenyao Qu, Wei Wang, Zelang Miao, Huihui Feng

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A SAM-Based Approach for Automatic Indoor Point Cloud Segmentation by M. S. A. Albadri, P. González-Cabaleiro, R. M. Túñez-Alcalde, A. Fernández, L. Díaz-Vilariño

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Controlled-SAM and Context Promoting Network for Fine-Grained Semantic Segmentation by Jinglin Zhang, Yuxia Li, Lei He, Bowei Zhang, Zhenye Niu, Yonghui Zhang, Shiyu Luo

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SAM2-DFBCNet: A Camouflaged Object Detection Network Based on the Heira Architecture of SAM2 by Cao Yuan, Libang Liu, Yaqin Li, Jianxiang Li

“…Our network incorporates three key modules: (1) the Camouflage-Aware Context Enhancement Module (CACEM), which fuses local and global features through an attention mechanism to enhance contextual awareness in low-contrast scenes; (2) the Cross-Scale Feature Interaction Bridge (CSFIB), which employs a bidirectional convolutional GRU for the dynamic fusion of multi-scale features, effectively mitigating representation inconsistencies caused by complex textures and deformations; and (3) the Dynamic Boundary Refinement Module (DBRM), which combines channel and spatial attention mechanisms to optimize boundary localization accuracy and enhance segmentation details. Extensive experiments on three public datasets—CAMO, COD10K, and NC4K—demonstrate that SAM2-DFBCNet outperforms twenty state-of-the-art methods, achieving maximum improvements of 7.4%, 5.78%, and 4.78% in key metrics such as <i>S</i>-measure (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>S</mi><mi>α</mi></msub></semantics></math></inline-formula>), <i>F</i>-measure (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>F</mi><mi>β</mi></msub></semantics></math></inline-formula>), and mean <i>E</i>-measure (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>E</mi><mi>ϕ</mi></msub></semantics></math></inline-formula>), respectively, while reducing the Mean Absolute Error (<i>M</i>) by 37.8%. …”
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SAM2Former: Segment Anything Model 2 Assisting UNet-Like Transformer for Remote Sensing Image Semantic Segmentation by Xuewen Li, Xiaomin Tian, Zihong Wang, Feng Zhang, Yanting Zhang, Na Yang, Chuanzhao Tian

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WORD ORDER AND SENTENCE STRESS IN ENGLISH UTTERANCES CONSISTING OF THE SAME SET OF WORDS by Amina E. Safarzade

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Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation by Jun Yin, Fei Wu, Hao Su, Peng Huang, Yuetong Qixuan

“…The Segment Anything Model 2 (SAM2) has achieved state-of-the-art performance in pixel-level object segmentation for both static and dynamic visual content. …”
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Optimizing zero-shot text-based segmentation of remote sensing imagery using SAM and Grounding DINO by Mohanad Diab, Polychronis Kolokoussis, Maria Antonia Brovelli

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Diagnosis by SAM Linked to Machine Vision Systems in Olive Pitting Machines by Luis Villanueva Gandul, Antonio Madueño-Luna, José Miguel Madueño-Luna, Miguel Calixto López-Gordillo, Manuel Jesús González-Ortega

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A Hybrid Deep Learning Framework for Accurate Cell Segmentation in Whole Slide Images Using YOLOv11, StarDist, and SAM2 by Julius Bamwenda, Mehmet Siraç Özerdem, Orhan Ayyıldız, Veysı Akpolat

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From Meta SAM to ArcGIS: A Comparative Analysis of Image Segmentation Methods for Monitoring Refugee Camp Transitions by Noor Marji, Michal Kohout

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Toward unsupervised building extraction from very high-resolution remote sensing images using SAM and CLIP by Chenxiao Zhang, Peng Yue

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Visual tracking by matching points using diffusion model by Mohamad Alansari, Iyyakutti Iyappan Ganapathi, Sara Alansari, Hasan Al Marzouqi, Sajid Javed

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SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation by Junqing Huang, Junqi Bao, Min Xia, Xiaochen Yuan

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A Novel Approach to Automated Mapping Subweekly Calving Front of Petermann Glacier (2016&#x2013;2023)&#x2014;Using Sentinel-2 Satellite Data and Segment Anything Model (SAM) by Daan Li, Liming Jiang, Shun Cai, Ronggang Huang, Xi Lu

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Product data set generation network based on SAM and pix2pix by Yu Huijun, Zou Zhihao, Kang Shuai

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Votare a Palermo. Fra stabilità e voto personale by Mauro Davì, Francesca Montamagno

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Synthesis of Extremely Wide Stopband E-plane Bandpass Filters by С. Я. Жук, М. Ю. Омеляненко, Т. В. Романенко, О. В. Турєєва

“…The developed technique was adequate in the development of the proposed E-plane filters, built on segments of the antipodal finline with the significant overlap of its ridges in the evanescent mode rectangular waveguide. …”
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SOME FEATURES OF ELECTRONEUROMYOGRAPHY AND DENSITOMETRY IN PATIENTS WITH CERVICAL OSTEOCHONDROSIS by E. G. Ippolitova, T. K. Verkhozina, E. S. Tsyslyak, O. V. Sklyarenko

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