Showing 141 - 160 results of 806 for search '(((regimensts OR (sediments OR sentiments)) OR regimen) OR segment)', query time: 0.19s Refine Results
  1. 141

    Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation by Lai, Lvlong, Chen, Jian, Zhang, Chi, Zhang, Zehong, Lin, Guosheng, Wu, Qingyao

    Published 2022
    “…Few-shot point cloud semantic segmentation learns to segment novel classes with scarce labeled samples. …”
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    Journal Article
  2. 142

    Leveraging mixed data sources for enhanced road segmentation in synthetic aperture radar images by Lan, Tian, He, Shuting, Qing, Yuanyuan, Wen, Bihan

    Published 2024
    “…In this study, we tackle the task of road segmentation from Synthetic Aperture Radar (SAR) imagery, which is vital for remote sensing applications including urban planning and disaster management. …”
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    Journal Article
  3. 143
  4. 144

    A binary level set model and some applications to Mumford-Shah image segmentation by Lie, Johan, Lysaker, Marius, Tai, Xue Cheng

    Published 2009
    “…We show numerical results using the method for segmentation of digital images.…”
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    Journal Article
  5. 145
  6. 146

    An in situ study of abyssal turbidity-current sediment plumes generated by a deep seabed polymetallic nodule mining preprototype collector vehicle by Muñoz-Royo, Carlos, Ouillon, Raphael, El Mousadik, Souha, Alford, Matthew H., Peacock, Thomas

    Published 2024
    “…Our results suggest that turbidity current dynamics sets the fraction of sediment remaining suspended and the scale of the subsequent ambient sediment plume. …”
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    Article
  7. 147
  8. 148
  9. 149

    Anterior segment optical coherence tomography angiography following trabecular bypass minimally invasive glaucoma surgery by Gan, Jinyuan, Sng, Chelvin C. A., Ke, Mengyuan, Chieh, Chew Shi, Tan, Bingyao, Schmetterer, Leopold, Ang, Marcus

    Published 2022
    “…To assess anterior segment optical coherence tomography angiography (AS-OCTA) imaging of the episcleral vessels before and after trabecular bypass minimally invasive glaucoma surgery (MIGS).…”
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    Journal Article
  10. 150
  11. 151

    Rupture and variable coupling behavior of the Mentawai segment of the Sunda megathrust during the supercycle culmination of 1797 to 1833 by Philibosian, Belle, Sieh, Kerry, Avouac, Jean-Philippe, Natawidjaja, Danny H., Chiang, Hong-Wei, Wu, Chung-Che, Perfettini, Hugo, Shen, Chuan-Chou, Daryono, Mudrik R., Suwargadi, Bambang W.

    Published 2015
    “…We conclude that while major earthquakes generally do not involve rupture of the entire Mentawai segment, they may significantly change the state of coupling on the megathrust for decades to follow, influencing the progression of subsequent ruptures.…”
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    Journal Article
  12. 152
  13. 153

    Dissolving the segmentation of a shared mobility market: A framework and four market structure designs by Guo, Xiaotong, Qu, Ao, Zhang, Hongmou, Noursalehi, Peyman, Zhao, Jinhua

    Published 2024
    “…We first propose a theoretical framework of shared mobility market segmentation and then propose four market structure designs thereupon. …”
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    Article
  14. 154

    Highly polarized light emission by isotropic quantum dots integrated with magnetically aligned segmented nanowires by Jun, Shinae, Erdem, Talha, Guzelturk, Burak, Perkgöz, Nihan Kosku, Uran, Can, Jang, Eunjoo, Demir, Hilmi Volkan

    Published 2014
    “…In this work, we demonstrate a proof-of-concept system for generating highly polarized light from colloidal quantum dots (QDs) coupled with magnetically aligned segmented Au/Ni/Au nanowires (NWs). Optical characterizations reveal that the optimized QD-NW coupled structures emit highly polarized light with an s-to p-polarization (s/p) contrast as high as 15:1 corresponding to a degree of polarization of 0.88. …”
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    Journal Article
  15. 155

    Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds by Wei, Jiacheng, Lin, Guosheng, Yap, Kim-Hui, Hung, Tzu-Yi, Xie, Lihua

    Published 2020
    “…Existing methods for point cloud segmentation require a large amount of fully labeled data. …”
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    Conference Paper
  16. 156

    Interfacial fracture behavior of double-ceramic-layer thermal barrier coating system with segmented structure by Li, Biao, Fan, Xueling, Wang, Tiejun, Zhou, Kun

    Published 2020
    “…Segmented double-ceramic-layer thermal barrier coating system (DCL-TBCs) is promising for application in next-generation turbines. …”
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    Journal Article
  17. 157

    Automated lesion segmentation and quantification for prediction of paradoxical worsening in patients with tubercular serpiginous-like choroiditis by Kalra, Gagan, Agarwal, Aniruddha, Marchese, Alessandro, Agrawal, Rupesh, Bansal, Reema, Gupta, Vishali

    Published 2022
    “…Automated calculation of lesion metrics such as mean pixel intensity and segmented area in TB SLC is a novel approach with good repeatability in predicting PW during the follow-up.…”
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    Journal Article
  18. 158

    DRD-UNet, a UNet-like architecture for multi-class breast cancer semantic segmentation by Ortega-Ruíz, Mauricio Alberto, Karabağ, Cefa, Roman-Rangel, Edgar, Reyes-Aldasoro, Constantino Carlos

    Published 2024
    “…For cancer diagnosis, these slides are used to recognize tissues and morphological changes. Tissue semantic segmentation is therefore important and at the same time a challenging and time-consuming task. …”
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    Article
  19. 159

    Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation by Shin, S, Zhou, K, Vankadari, M, Markham, A, Trigoni, N

    Published 2024
    “…Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. …”
    Conference item
  20. 160

    TriCoS: a tri-level class-discriminative co-segmentation method for image classification by Chai, Y, Rahtu, E, Lempitsky, V, Van Gool, L, Zisserman, A

    Published 2012
    “…We introduce TriCoS, a new co-segmentation algorithm that looks at all training images jointly and automatically segments out the most class-discriminative foregrounds for each image. …”
    Conference item